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ORCIDIrwin King
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- affiliation: Chinese University of Hong Kong
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2020 – today
- 2025
[j98]Aiwei Liu
, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Xi Zhang, Lijie Wen, Irwin King, Hui Xiong, Philip S. Yu:
A Survey of Text Watermarking in the Era of Large Language Models. ACM Comput. Surv. 57(2): 47:1-47:36 (2025)- [c342]Muzhi Li, Cehao Yang, Chengjin Xu, Zixing Song, Xuhui Jiang, Jian Guo, Ho-fung Leung, Irwin King:
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning. AAAI 2025: 12102-12111 - [c341]Yifei Zhang, Hao Zhu, Menglin Yang, Jiahong Liu, Rex Ying, Irwin King, Piotr Koniusz:
Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning. KDD (1) 2025: 1984-1995 - [c340]Yixuan Wang, Jiayi Li, Jingqi Li, Shen Yang, Yuhan Huang, Xinyuan Liu, Yimin Fan, Irwin King, Yumei Li, Yu Li:
cfDecon: Accurate and Interpretable Methylation-Based Cell Type Deconvolution for Cell-Free DNA. RECOMB 2025: 307-311 - [c339]Yuhan Li, Xinni Zhang, Linhao Luo, Heng Chang, Yuxiang Ren, Irwin King, Jia Li:
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation. WWW 2025: 240-251 - [i154]Menglin Yang, Jialin Chen, Yifei Zhang, Jiahong Liu, Jiasheng Zhang, Qiyao Ma, Harshit Verma, Qianru Zhang, Min Zhou, Irwin King, Rex Ying:
Low-Rank Adaptation for Foundation Models: A Comprehensive Review. CoRR abs/2501.00365 (2025) - [i153]Wenqian Cui, Xiangling Fu, Shaohui Liu, Mingjun Gu, Xien Liu, Ji Wu, Irwin King:
Data Augmentation Techniques for Chinese Disease Name Normalization. CoRR abs/2501.01195 (2025) - [i152]Weizhi Zhang, Yuanchen Bei, Liangwei Yang, Henry Peng Zou, Peilin Zhou, Aiwei Liu, Yinghui Li, Hao Chen, Jianling Wang, Yu Wang, Feiran Huang, Sheng Zhou, Jiajun Bu, Allen Lin, James Caverlee, Fakhri Karray, Irwin King, Philip S. Yu:
Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap. CoRR abs/2501.01945 (2025) - [i151]Wenqian Cui, Xiaoqi Jiao, Ziqiao Meng, Irwin King:
VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models. CoRR abs/2501.04962 (2025) - [i150]Yueen Ma, Yuzheng Zhuang, Jianye Hao, Irwin King:
3D-MoE: A Mixture-of-Experts Multi-modal LLM for 3D Vision and Pose Diffusion via Rectified Flow. CoRR abs/2501.16698 (2025) - [i149]Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen:
Position: LLMs Can be Good Tutors in Foreign Language Education. CoRR abs/2502.05467 (2025) - [i148]Jiahong Liu, Zexuan Qiu, Zhongyang Li, Quanyu Dai, Jieming Zhu, Minda Hu, Menglin Yang, Irwin King:
A Survey of Personalized Large Language Models: Progress and Future Directions. CoRR abs/2502.11528 (2025) - [i147]Leyi Pan, Aiwei Liu, Shiyu Huang, Yijian Lu, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu:
Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation? CoRR abs/2502.11598 (2025) - [i146]Yuhan Li, Xinni Zhang, Linhao Luo, Heng Chang, Yuxiang Ren, Irwin King, Jia Li:
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation. CoRR abs/2502.12586 (2025) - [i145]Ziqiao Meng, Qichao Wang, Zhipeng Zhou, Irwin King, Peilin Zhao:
3D Point Cloud Generation via Autoregressive Up-sampling. CoRR abs/2503.08594 (2025) - [i144]Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, Lei Wang, Weixu Zhang, Zhihan Guo, Yufei Wang, Irwin King, Xue Liu, Chen Ma:
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models. CoRR abs/2503.24235 (2025) - 2024
- [j97]Qing Li, Zhihang Hu, Yixuan Wang, Lei Li, Yimin Fan, Irwin King, Gengjie Jia, Sheng Wang, Le Song, Yu Li:
Progress and opportunities of foundation models in bioinformatics. Briefings Bioinform. 25(6) (2024) - [j96]Thomas K. F. Chiu, Yifan Chen, King Woon Yau, Ching Sing Chai, Helen Meng, Irwin King, Savio Wong, Yeung Yam:
Developing and validating measures for AI literacy tests: From self-reported to objective measures. Comput. Educ. Artif. Intell. 7: 100282 (2024) - [j95]Felix Wong, Dongchen He, Aarti Krishnan, Liang Hong, Alexander Z. Wang, Jiuming Wang, Zhihang Hu, Satotaka Omori, Alicia Li, Jiahua Rao, Qinze Yu, Wengong Jin, Tianqing Zhang, Katherine Ilia, Jack X. Chen, Shuangjia Zheng, Irwin King, Yu Li, James J. Collins:
Deep generative design of RNA aptamers using structural predictions. Nat. Comput. Sci. 4(11): 829-839 (2024) - [j94]Xinyu Fu, Irwin King:
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks. Neural Networks 170: 266-275 (2024) - [j93]Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan:
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10466-10485 (2024) - [j92]Yifei Zhang, Dun Zeng, Jinglong Luo, Xinyu Fu, Guanzhong Chen, Zenglin Xu, Irwin King:
A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges. ACM Trans. Intell. Syst. Technol. 15(6): 112:1-112:47 (2024) - [j91]Xuming Hu, Zhaochen Hong, Chenwei Zhang, Aiwei Liu, Shiao Meng, Lijie Wen, Irwin King, Philip S. Yu:
Reading Broadly to Open Your Mind: Improving Open Relation Extraction With Search Documents Under Self-Supervisions. IEEE Trans. Knowl. Data Eng. 36(5): 2026-2040 (2024) - [j90]Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Yuan Qi, Jieping Ye:
Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization. IEEE Trans. Knowl. Data Eng. 36(5): 2213-2223 (2024) - [j89]Yankai Chen, Yixiang Fang, Yifei Zhang, Chenhao Ma, Yang Hong, Irwin King:
Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing. IEEE Trans. Knowl. Data Eng. 36(12): 9418-9432 (2024) - [j88]Feng Xia, Renaud Lambiotte, Neil Shah, Hanghang Tong, Irwin King:
Guest Editorial: Special Issue on Graph Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11630-11633 (2024) - [c338]Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King:
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval. AAAI 2024: 4614-4622 - [c337]Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King:
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. AAAI 2024: 8302-8310 - [c336]Zixing Song, Ziqiao Meng, Irwin King:
A Diffusion-Based Pre-training Framework for Crystal Property Prediction. AAAI 2024: 8993-9001 - [c335]Xinni Zhang, Yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King:
Influential Exemplar Replay for Incremental Learning in Recommender Systems. AAAI 2024: 9368-9376 - [c334]Yijian Lu, Aiwei Liu, Dianzhi Yu, Jingjing Li, Irwin King:
An Entropy-based Text Watermarking Detection Method. ACL (1) 2024: 11724-11735 - [c333]Wenqian Cui, Xiangling Fu, Shaohui Liu, Mingjun Gu, Xien Liu, Ji Wu, Irwin King:
Data Augmentation Techniques for Chinese Disease Name Normalization. BIBM 2024: 3134-3137 - [c332]Zexuan Qiu, Jieming Zhu, Yankai Chen, Guohao Cai, Weiwen Liu, Zhenhua Dong, Irwin King:
EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction. CIKM 2024: 4819-4827 - [c331]Minda Hu, Licheng Zong, Hongru Wang, Jingyan Zhou, Jingjing Li, Yichen Gao, Kam-Fai Wong, Yu Li, Irwin King:
SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation. EMNLP (Findings) 2024: 1321-1335 - [c330]Zexuan Qiu, Jingjing Li, Shijue Huang, Xiaoqi Jiao, Wanjun Zhong, Irwin King:
CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models. EMNLP (Findings) 2024: 3985-4004 - [c329]Aiwei Liu, Leyi Pan, Xuming Hu, Shuang Li, Lijie Wen, Irwin King, Philip S. Yu:
An Unforgeable Publicly Verifiable Watermark for Large Language Models. ICLR 2024 - [c328]Ziqiao Meng, Liang Zeng, Zixing Song, Tingyang Xu, Peilin Zhao, Irwin King:
Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations. IJCAI 2024: 5981-5989 - [c327]Zixing Song, Xiangli Yang, Yifei Zhang, Xinyu Fu, Zenglin Xu, Irwin King:
A Systematic Survey on Federated Semi-supervised Learning. IJCAI 2024: 8244-8252 - [c326]Tianyu Liu, Ruixin Yan, Irwin King:
Anomaly Detection on Attributed Network Based on Hyperbolic Radial Distance. IJCNN 2024: 1-8 - [c325]Hongye Wang, Ruonan Li, Zenglin Xu, Jinlong Li, Irwin King, Jie Liu:
Federated Learning for Vehicle Trajectory Prediction: Methodology and Benchmark Study. IJCNN 2024: 1-8 - [c324]Zhenxiong Ye, Weiming Zeng, Yunhua Chen, Ling Zhang, Jinsheng Xiao, Irwin King:
Group IF Units with Membrane Potential Sharing for High-Accuracy Low-Latency Spiking Neural Networks. IJCNN 2024: 1-8 - [c323]Jinyu Zhong, Weiming Zeng, Yunhua Chen, Jinsheng Xiao, Irwin King:
Efficient Spatio-temporal Event Representation Based on Kalman Filtering and Linear Weighted Timestamps. IJCNN 2024: 1-7 - [c322]Yankai Chen, Quoc-Tuan Truong, Xin Shen, Jin Li, Irwin King:
Shopping Trajectory Representation Learning with Pre-training for E-commerce Customer Understanding and Recommendation. KDD 2024: 385-396 - [c321]Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying:
Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space. KDD 2024: 3770-3781 - [c320]Yifei Zhang, Hao Zhu, Zixing Song, Yankai Chen, Xinyu Fu, Ziqiao Meng, Piotr Koniusz, Irwin King:
Geometric View of Soft Decorrelation in Self-Supervised Learning. KDD 2024: 4338-4349 - [c319]Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction. MICCAI (4) 2024: 318-328 - [c318]Conghao Xiong, Yi Lin, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification. MICCAI (4) 2024: 503-513 - [c317]Yueen Ma, Dafeng Chi, Jingjing Li, Kai Song, Yuzheng Zhuang, Irwin King:
VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder. NAACL-HLT (Findings) 2024: 364-378 - [c316]Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King:
FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering. NAACL-HLT (Findings) 2024: 1519-1528 - [c315]Jingyan Zhou, Minda Hu, Junan Li, Xiaoying Zhang, Xixin Wu, Irwin King, Helen Meng:
Rethinking Machine Ethics - Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? NAACL-HLT (Findings) 2024: 2227-2242 - [c314]Muzhi Li, Minda Hu, Irwin King, Ho-fung Leung:
The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing. NAACL-HLT 2024: 6625-6638 - [c313]Junfan Li, Zheshun Wu, Zenglin Xu, Irwin King:
On the Necessity of Collaboration for Online Model Selection with Decentralized Data. NeurIPS 2024 - [c312]Irwin King, Guodong Long, Zenglin Xu, Han Yu:
FL@FM-TheWebConf'24: International Workshop on Federated Foundation Models for the Web. WWW (Companion Volume) 2024: 1546-1547 - [c311]Zhihan Guo, Yifei Zhang, Zhuo Zhang, Zenglin Xu, Irwin King:
FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling. WWW (Companion Volume) 2024: 1558-1567 - [e26]Ashish Ghosh, Irwin King, Malay Bhattacharyya, Shubhra Sankar Ray, Sankar K. Pal:
Pattern Recognition and Machine Intelligence - 9th International Conference, PReMI 2021, Kolkata, India, December 15-18, 2021, Proceedings. Lecture Notes in Computer Science 13102, Springer 2024, ISBN 978-3-031-12699-4 [contents] - [i143]Zexuan Qiu, Jiahong Liu, Yankai Chen, Irwin King:
HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval. CoRR abs/2401.07212 (2024) - [i142]Qing Li, Zhihang Hu, Yixuan Wang, Lei Li, Yimin Fan, Irwin King, Le Song, Yu Li:
Progress and Opportunities of Foundation Models in Bioinformatics. CoRR abs/2402.04286 (2024) - [i141]Yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King:
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks. CoRR abs/2402.12411 (2024) - [i140]Zexuan Qiu, Jingjing Li, Shijue Huang, Wanjun Zhong, Irwin King:
CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models. CoRR abs/2403.03514 (2024) - [i139]Yijian Lu, Aiwei Liu, Dianzhi Yu, Jingjing Li, Irwin King:
An Entropy-based Text Watermarking Detection Method. CoRR abs/2403.13485 (2024) - [i138]Muzhi Li, Minda Hu, Irwin King, Ho-fung Leung:
The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing. CoRR abs/2404.08313 (2024) - [i137]Junfan Li, Zenglin Xu, Zheshun Wu, Irwin King:
On the Necessity of Collaboration in Online Model Selection with Decentralized Data. CoRR abs/2404.09494 (2024) - [i136]Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King:
MarkLLM: An Open-Source Toolkit for LLM Watermarking. CoRR abs/2405.10051 (2024) - [i135]Yueen Ma, Zixing Song, Yuzheng Zhuang, Jianye Hao, Irwin King:
A Survey on Vision-Language-Action Models for Embodied AI. CoRR abs/2405.14093 (2024) - [i134]Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction. CoRR abs/2406.09696 (2024) - [i133]Minda Hu, Licheng Zong, Hongru Wang, Jingyan Zhou, Jingjing Li, Yichen Gao, Kam-Fai Wong, Yu Li, Irwin King:
Enhancing Biomedical Knowledge Retrieval-Augmented Generation with Self-Rewarding Tree Search and Proximal Policy Optimization. CoRR abs/2406.11258 (2024) - [i132]Minda Hu, Bowei He, Yufei Wang, Liangyou Li, Chen Ma, Irwin King:
Mitigating Large Language Model Hallucination with Faithful Finetuning. CoRR abs/2406.11267 (2024) - [i131]Zexuan Qiu, Zijing Ou, Bin Wu, Jingjing Li, Aiwei Liu, Irwin King:
Entropy-Based Decoding for Retrieval-Augmented Large Language Models. CoRR abs/2406.17519 (2024) - [i130]Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying:
Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space. CoRR abs/2407.01290 (2024) - [i129]Yali Fu, Jindong Li, Jiahong Liu, Qianli Xing, Qi Wang, Irwin King:
HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection. CoRR abs/2407.02057 (2024) - [i128]Yueen Ma, Dafeng Chi, Shiguang Wu, Yuecheng Liu, Yuzheng Zhuang, Jianye Hao, Irwin King:
Actra: Optimized Transformer Architecture for Vision-Language-Action Models in Robot Learning. CoRR abs/2408.01147 (2024) - [i127]Yankai Chen, Yixiang Fang, Yifei Zhang, Chenhao Ma, Yang Hong, Irwin King:
Towards Effective Top-N Hamming Search via Bipartite Graph Contrastive Hashing. CoRR abs/2408.09239 (2024) - [i126]Leyi Pan, Aiwei Liu, Yijian Lu, Zitian Gao, Yichen Di, Lijie Wen, Irwin King, Philip S. Yu:
WaterSeeker: Efficient Detection of Watermarked Segments in Large Documents. CoRR abs/2409.05112 (2024) - [i125]Hezhe Qiao, Hanghang Tong, Bo An, Irwin King, Charu C. Aggarwal, Guansong Pang:
Deep Graph Anomaly Detection: A Survey and New Perspectives. CoRR abs/2409.09957 (2024) - [i124]Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, Ziqiao Meng, Guangyan Zhang, Qichao Wang, Yiwen Guo, Irwin King:
Recent Advances in Speech Language Models: A Survey. CoRR abs/2410.03751 (2024) - [i123]Menglin Yang, Aosong Feng, Bo Xiong, Jihong Liu, Irwin King, Rex Ying:
Hyperbolic Fine-tuning for Large Language Models. CoRR abs/2410.04010 (2024) - [i122]Dianzhi Yu, Xinni Zhang, Yankai Chen, Aiwei Liu, Yifei Zhang, Philip S. Yu, Irwin King:
Recent Advances of Multimodal Continual Learning: A Comprehensive Survey. CoRR abs/2410.05352 (2024) - [i121]Muzhi Li, Cehao Yang, Chengjin Xu, Zixing Song, Xuhui Jiang, Jian Guo, Ho-fung Leung, Irwin King:
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning. CoRR abs/2410.16803 (2024) - [i120]Yifei Zhang, Hao Zhu, Aiwei Liu, Han Yu, Piotr Koniusz, Irwin King:
Less is More: Extreme Gradient Boost Rank-1 Adaption for Efficient Finetuning of LLMs. CoRR abs/2410.19694 (2024) - [i119]Yukun Zhang, Guanzhong Chen, Zenglin Xu, Jianyong Wang, Dun Zeng, Junfan Li, Jinghua Wang, Yuan Qi, Irwin King:
FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data. CoRR abs/2411.07050 (2024) - [i118]Muzhi Li, Cehao Yang, Chengjin Xu, Xuhui Jiang, Yiyan Qi, Jian Guo, Ho-fung Leung, Irwin King:
Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion. CoRR abs/2411.08165 (2024) - [i117]Minda Hu, Qiyuan Zhang, Yufei Wang, Bowei He, Hongru Wang, Jingyan Zhou, Liangyou Li, Yasheng Wang, Chen Ma, Irwin King:
NILE: Internal Consistency Alignment in Large Language Models. CoRR abs/2412.16686 (2024) - 2023
- [b2]Irwin King, Wei-I Lee:
A Decade of MOOCs and Beyond - Platforms, Policies, Pedagogy, Technology, and Ecosystems with an Emphasis on Greater China. Springer 2023, ISBN 978-3-031-15240-5, pp. 1-177 - [j87]King Woon Yau, Ching Sing Chai, Thomas K. F. Chiu, Helen Meng, Irwin King, Yeung Yam:
A phenomenographic approach on teacher conceptions of teaching Artificial Intelligence (AI) in K-12 schools. Educ. Inf. Technol. 28(1): 1041-1064 (2023) - [j86]Yaozu Wu, Yankai Chen, Zhishuai Yin, Weiping Ding, Irwin King:
A survey on graph embedding techniques for biomedical data: Methods and applications. Inf. Fusion 100: 101909 (2023) - [j85]Feng Xia, Lei Wang, Tao Tang, Xin Chen, Xiangjie Kong, Giles Oatley, Irwin King:
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs. IEEE Trans. Knowl. Data Eng. 35(5): 4555-4569 (2023) - [j84]Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu:
A Survey on Deep Semi-Supervised Learning. IEEE Trans. Knowl. Data Eng. 35(9): 8934-8954 (2023) - [j83]Menglin Yang, Min Zhou, Hui Xiong, Irwin King:
Hyperbolic Temporal Network Embedding. IEEE Trans. Knowl. Data Eng. 35(11): 11489-11502 (2023) - [j82]Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King:
Graph-Based Semi-Supervised Learning: A Comprehensive Review. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8174-8194 (2023) - [c310]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King:
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. AAAI 2023: 11289-11297 - [c309]Yueen Ma, Zixing Song, Xuming Hu, Jingjing Li, Yifei Zhang, Irwin King:
Graph Component Contrastive Learning for Concept Relatedness Estimation. AAAI 2023: 13362-13370 - [c308]Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu:
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. ACL (2) 2023: 303-311 - [c307]Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu:
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. ACL (Findings) 2023: 10221-10234 - [c306]Zixing Song, Yuji Zhang, Irwin King:
Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks. CIKM 2023: 2331-2341 - [c305]Yaoman Li, Irwin King:
Neural Architecture Search for Explainable Networks. ECAI 2023: 1447-1454 - [c304]Hongru Wang, Minda Hu, Yang Deng, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Wai-Chung Kwan, Irwin King, Kam-Fai Wong:
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues. EMNLP (Findings) 2023: 9556-9569 - [c303]Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King:
Hyperbolic Representation Learning: Revisiting and Advancing. ICML 2023: 39639-39659 - [c302]Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu:
Generalized Category Discovery with Clustering Assignment Consistency. ICONIP (5) 2023: 535-547 - [c301]Weibin Wu, Jianping Zhang, Victor Junqiu Wei, Xixian Chen, Zibin Zheng, Irwin King, Michael R. Lyu:
Practical and Efficient Model Extraction of Sentiment Analysis APIs. ICSE 2023: 524-536 - [c300]Conghao Xiong, Hao Chen, Joseph J. Y. Sung, Irwin King:
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification. IJCAI 2023: 1587-1595 - [c299]Xinyu Fu, Irwin King:
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks. IJCAI 2023: 3705-3713 - [c298]Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King:
Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction. IJCAI 2023: 4064-4072 - [c297]Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King:
A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges. IJCAI 2023: 6723-6731 - [c296]Xiangjing Hu, Congjian Luo, Dun Zeng, Zenglin Xu, Ping Guo, Irwin King:
Flexible Contribution Estimation Methods for Horizontal Federated Learning. IJCNN 2023: 1-8 - [c295]Menglin Yang, Min Zhou, Lujia Pan, Irwin King:
κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning. KDD 2023: 2965-2977 - [c294]Yifei Zhang, Yankai Chen, Zixing Song, Irwin King:
Contrastive Cross-scale Graph Knowledge Synergy. KDD 2023: 3422-3433 - [c293]Min Zhou, Menglin Yang, Bo Xiong, Hui Xiong, Irwin King:
Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications. KDD 2023: 5843-5844 - [c292]Langzhang Liang, Xiangjing Hu, Zenglin Xu, Zixing Song, Irwin King:
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily. NeurIPS 2023 - [c291]Zixing Song, Yifei Zhang, Irwin King:
No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning. NeurIPS 2023 - [c290]Zixing Song, Yifei Zhang, Irwin King:
Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning. NeurIPS 2023 - [c289]Yifei Zhang, Hao Zhu, Yankai Chen, Zixing Song, Piotr Koniusz, Irwin King:
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective. NeurIPS 2023 - [c288]Ziqiao Meng, Yaoman Li, Peilin Zhao, Yang Yu, Irwin King:
Meta-Learning with Motif-based Task Augmentation for Few-Shot Molecular Property Prediction. SDM 2023: 811-819 - [c287]Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu:
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. SIGIR 2023: 2436-2440 - [c286]Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King:
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. SIGIR 2023: 2521-2525 - [c285]Yuan Xu, Ching Sing Chai, Helen Meng, Savio Wai-Ho Wong, King Woon Yau, Thomas K. F. Chiu, Irwin King, Yeung Yam:
An experiential learning approach to learn AI in an online workshop. TALE 2023: 1-6 - [c284]Mirko Polato, Roberto Esposito, Walter Riviera, Zenglin Xu, Irwin King:
1st Workshop on Federated Learning Technologies. WWW (Companion Volume) 2023: 1150 - [c283]Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King:
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy. WWW (Companion Volume) 2023: 1167-1176 - [c282]Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King:
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. WWW 2023: 3164-3172 - [i116]Zhihang Hu, Qinze Yu, Yucheng Guo, Taifeng Wang, Irwin King, Xin Gao, Le Song, Yu Li:
Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning. CoRR abs/2301.05931 (2023) - [i115]Conghao Xiong, Hao Chen, Joseph J. Y. Sung, Irwin King:
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification. CoRR abs/2301.08125 (2023) - [i114]Yifei Zhang, Dun Zeng, Jinglong Luo, Zenglin Xu, Irwin King:
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy. CoRR abs/2302.10637 (2023) - [i113]Conghao Xiong, Yi Lin, Hao Chen, Joseph J. Y. Sung, Irwin King:
Knowledge Transfer via Multi-Head Feature Adaptation for Whole Slide Image Classification. CoRR abs/2303.05780 (2023) - [i112]Yankai Chen, Yixiang Fang, Yifei Zhang, Irwin King:
Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space. CoRR abs/2304.00241 (2023) - [i111]Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, Philip S. Yu:
Think Rationally about What You See: Continuous Rationale Extraction for Relation Extraction. CoRR abs/2305.03503 (2023) - [i110]Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King:
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. CoRR abs/2305.04410 (2023) - [i109]Xinyu Fu, Irwin King:
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks. CoRR abs/2305.09729 (2023) - [i108]Xuming Hu, Zhijiang Guo, Zhiyang Teng, Irwin King, Philip S. Yu:
Multimodal Relation Extraction with Cross-Modal Retrieval and Synthesis. CoRR abs/2305.16166 (2023) - [i107]Xuming Hu, Aiwei Liu, Zeqi Tan, Xin Zhang, Chenwei Zhang, Irwin King, Philip S. Yu:
GDA: Generative Data Augmentation Techniques for Relation Extraction Tasks. CoRR abs/2305.16663 (2023) - [i106]Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King:
Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction. CoRR abs/2306.06119 (2023) - [i105]Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King:
Hyperbolic Representation Learning: Revisiting and Advancing. CoRR abs/2306.09118 (2023) - [i104]Ziqiao Meng, Peilin Zhao, Yang Yu, Irwin King:
A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges. CoRR abs/2306.15890 (2023) - [i103]Yueen Ma, Dafeng Chi, Jingjing Li, Yuzheng Zhuang, Jianye Hao, Irwin King:
VOLTA: Diverse and Controllable Question-Answer Pair Generation with Variational Mutual Information Maximizing Autoencoder. CoRR abs/2307.00852 (2023) - [i102]Ming Jin, Huan Yee Koh, Qingsong Wen, Daniele Zambon, Cesare Alippi, Geoffrey I. Webb, Irwin King, Shirui Pan:
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection. CoRR abs/2307.03759 (2023) - [i101]Aiwei Liu, Leyi Pan, Xuming Hu, Shu'ang Li, Lijie Wen, Irwin King, Philip S. Yu:
A Private Watermark for Large Language Models. CoRR abs/2307.16230 (2023) - [i100]Jingyan Zhou, Minda Hu, Junan Li, Xiaoying Zhang, Xixin Wu, Irwin King, Helen Meng:
Rethinking Machine Ethics - Can LLMs Perform Moral Reasoning through the Lens of Moral Theories? CoRR abs/2308.15399 (2023) - [i99]Hongru Wang, Minda Hu, Yang Deng, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Wai-Chung Kwan, Irwin King, Kam-Fai Wong:
Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogue. CoRR abs/2310.08840 (2023) - [i98]Yifei Zhang, Hao Zhu, Jiahong Liu, Piotr Koniusz, Irwin King:
Alignment and Outer Shell Isotropy for Hyperbolic Graph Contrastive Learning. CoRR abs/2310.18209 (2023) - [i97]Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu:
Generalized Category Discovery with Clustering Assignment Consistency. CoRR abs/2310.19210 (2023) - [i96]Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King:
An Augmented Index-based Efficient Community Search for Large Directed Graphs. CoRR abs/2311.06487 (2023) - [i95]Aiwei Liu, Leyi Pan, Yijian Lu, Jingjing Li, Xuming Hu, Lijie Wen, Irwin King, Philip S. Yu:
A Survey of Text Watermarking in the Era of Large Language Models. CoRR abs/2312.07913 (2023) - 2022
- [j81]Wenkai Han, Yuqi Cheng, Jiayang Chen, Huawen Zhong, Zhihang Hu, Siyuan Chen, Licheng Zong, Liang Hong, Ting-Fung Chan, Irwin King, Xin Gao, Yu Li:
Self-supervised contrastive learning for integrative single cell RNA-seq data analysis. Briefings Bioinform. 23(5) (2022) - [j80]Cuiyun Gao, Jichuan Zeng, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Understanding in-app advertising issues based on large scale app review analysis. Inf. Softw. Technol. 142: 106741 (2022) - [j79]Yao Ma, Shilin Zhao, Weixiao Wang, Yaoman Li, Irwin King:
Multimodality in meta-learning: A comprehensive survey. Knowl. Based Syst. 250: 108976 (2022) - [j78]Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu:
Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5026-5041 (2022) - [j77]Wenxiang Jiao, Xing Wang, Shilin He, Zhaopeng Tu, Irwin King, Michael R. Lyu:
Exploiting Inactive Examples for Natural Language Generation With Data Rejuvenation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 931-943 (2022) - [j76]Thomas K. F. Chiu, Helen Meng, Ching-Sing Chai, Irwin King, Savio Wong, Yeung Yam:
Creation and Evaluation of a Pretertiary Artificial Intelligence (AI) Curriculum. IEEE Trans. Educ. 65(1): 30-39 (2022) - [j75]Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing. IEEE Trans. Software Eng. 48(8): 3025-3043 (2022) - [c281]Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu:
Text Revision By On-the-Fly Representation Optimization. AAAI 2022: 10956-10964 - [c280]Zixing Song, Irwin King:
Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization. AAAI 2022: 11340-11348 - [c279]Minda Hu, Muzhi Li, Yasheng Wang, Irwin King:
Momentum Contrastive Pre-training for Question Answering. EMNLP 2022: 4324-4330 - [c278]Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King:
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation. ICDE 2022: 299-311 - [c277]Yankai Chen, Yifei Zhang, Huifeng Guo, Ruiming Tang, Irwin King:
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching. AACL/IJCNLP (2) 2022: 102-108 - [c276]Chenbin Zhang, Xiangli Yang, Jian Liang, Bing Bai, Kun Bai, Irwin King, Zenglin Xu:
ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise. IJCNN 2022: 1-8 - [c275]Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King:
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. KDD 2022: 168-178 - [c274]Zixing Song, Yifei Zhang, Irwin King:
Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification. KDD 2022: 1656-1665 - [c273]Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King:
HICF: Hyperbolic Informative Collaborative Filtering. KDD 2022: 2212-2221 - [c272]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King:
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. KDD 2022: 2524-2534 - [c271]Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu:
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training. NAACL-HLT (Findings) 2022: 1233-1246 - [c270]Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu:
Towards Efficient Post-training Quantization of Pre-trained Language Models. NeurIPS 2022 - [c269]King Woon Yau, Ching Sing Chai, Thomas K. F. Chiu, Helen Meng, Irwin King, Savio Wai-Ho Wong, Chandni Saxena, Yeung Yam:
Developing an AI literacy test for junior secondary students: The first stage. TALE 2022: 59-64 - [c268]Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King:
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. WSDM 2022: 94-102 - [c267]Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King:
Graph-adaptive Rectified Linear Unit for Graph Neural Networks. WWW 2022: 1331-1339 - [c266]Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King:
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. WWW 2022: 2462-2471 - [i94]Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King:
Graph-adaptive Rectified Linear Unit for Graph Neural Networks. CoRR abs/2202.06281 (2022) - [i93]Feng Xia, Lei Wang, Tao Tang, Xin Chen, Xiangjie Kong, Giles Oatley, Irwin King:
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs. CoRR abs/2202.07826 (2022) - [i92]Menglin Yang, Min Zhou, Zhihao Li, Jiahong Liu, Lujia Pan, Hui Xiong, Irwin King:
Hyperbolic Graph Neural Networks: A Review of Methods and Applications. CoRR abs/2202.13852 (2022) - [i91]Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu:
Text Revision by On-the-Fly Representation Optimization. CoRR abs/2204.07359 (2022) - [i90]Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King:
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. CoRR abs/2204.08176 (2022) - [i89]Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu:
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training. CoRR abs/2205.10471 (2022) - [i88]Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King:
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. CoRR abs/2206.02115 (2022) - [i87]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King:
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. CoRR abs/2206.04726 (2022) - [i86]Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Jieping Ye:
ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization. CoRR abs/2206.08181 (2022) - [i85]Yueen Ma, Zixing Song, Chirui Chang, Yue Yu, Irwin King:
ConcreteGraph: A Data Augmentation Method Leveraging the Properties of Concept Relatedness Estimation. CoRR abs/2206.12556 (2022) - [i84]Tao Shen, Zhihang Hu, Zhangzhi Peng, Jiayang Chen, Peng Xiong, Liang Hong, Liangzhen Zheng, Yixuan Wang, Irwin King, Sheng Wang, Siqi Sun, Yu Li:
E2Efold-3D: End-to-End Deep Learning Method for accurate de novo RNA 3D Structure Prediction. CoRR abs/2207.01586 (2022) - [i83]Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King:
HICF: Hyperbolic Informative Collaborative Filtering. CoRR abs/2207.09051 (2022) - [i82]Xinni Zhang, Yankai Chen, Cuiyun Gao, Qing Liao, Shenglin Zhao, Irwin King:
Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation. CoRR abs/2209.13973 (2022) - [i81]Min Zhou, Menglin Yang, Lujia Pan, Irwin King:
Hyperbolic Graph Representation Learning: A Tutorial. CoRR abs/2211.04050 (2022) - [i80]Xuming Hu, Shiao Meng, Chenwei Zhang, Xiangli Yang, Lijie Wen, Irwin King, Philip S. Yu:
Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction. CoRR abs/2211.06014 (2022) - [i79]Xinyu Fu, Irwin King:
MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks. CoRR abs/2211.12792 (2022) - [i78]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King:
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond. CoRR abs/2212.01026 (2022) - [i77]Menglin Yang, Min Zhou, Lujia Pan, Irwin King:
Hyperbolic Curvature Graph Neural Network. CoRR abs/2212.01793 (2022) - [i76]Minda Hu, Muzhi Li, Yasheng Wang, Irwin King:
Momentum Contrastive Pre-training for Question Answering. CoRR abs/2212.05762 (2022) - 2021
- [j74]Cuiyun Gao, Jichuan Zeng, Federica Sarro, David Lo, Irwin King, Michael R. Lyu:
Do users care about ad's performance costs? Exploring the effects of the performance costs of in-app ads on user experience. Inf. Softw. Technol. 132: 106471 (2021) - [j73]Man-Ching Yuen, Irwin King, Kwong-Sak Leung:
Temporal context-aware task recommendation in crowdsourcing systems. Knowl. Based Syst. 219: 106770 (2021) - [j72]Hou Pong Chan, Irwin King:
A condense-then-select strategy for text summarization. Knowl. Based Syst. 227: 107235 (2021) - [j71]Wang Chen, Piji Li, Hou Pong Chan, Irwin King:
Dialogue summarization with supporting utterance flow modelling and fact regularization. Knowl. Based Syst. 229: 107328 (2021) - [j70]Irwin King, Chandni Saxena, Christian Pak, Chak Ming Lam, Haiyan Cai:
Rethinking Engineering Education: Policy, Pedagogy, and Assessment During Crises. IEEE Signal Process. Mag. 38(3): 174-184 (2021) - [j69]Hou Pong Chan, Lu Wang, Irwin King:
Controllable Summarization with Constrained Markov Decision Process. Trans. Assoc. Comput. Linguistics 9: 1213-1232 (2021) - [j68]Xixian Chen, Haiqin Yang, Shenglin Zhao, Irwin King, Michael R. Lyu:
Making Online Sketching Hashing Even Faster. IEEE Trans. Knowl. Data Eng. 33(3): 1089-1101 (2021) - [j67]Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King:
Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining. IEEE Trans. Knowl. Data Eng. 33(4): 1763-1777 (2021) - [j66]Wei Wang, Jiaying Liu, Tao Tang, Suppawong Tuarob, Feng Xia, Zhiguo Gong, Irwin King:
Attributed Collaboration Network Embedding for Academic Relationship Mining. ACM Trans. Web 15(1): 4:1-4:20 (2021) - [c265]Wang Chen, Piji Li, Irwin King:
A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy. ACL/IJCNLP (1) 2021: 404-414 - [c264]Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King:
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. ACL/IJCNLP (1) 2021: 2840-2850 - [c263]Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jin Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King:
BinaryBERT: Pushing the Limit of BERT Quantization. ACL/IJCNLP (1) 2021: 4334-4348 - [c262]Zixing Song, Ziqiao Meng, Yifei Zhang, Irwin King:
Semi-supervised Multi-label Learning for Graph-structured Data. CIKM 2021: 1723-1733 - [c261]Weibin Wu, Yuxin Su, Michael R. Lyu, Irwin King:
Improving the Transferability of Adversarial Samples With Adversarial Transformations. CVPR 2021: 9024-9033 - [c260]Chung-Yiu Yau, Haoli Bai, Irwin King, Michael R. Lyu:
DAP-BERT: Differentiable Architecture Pruning of BERT. ICONIP (1) 2021: 367-378 - [c259]Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King:
Discrete Auto-regressive Variational Attention Models for Text Modeling. IJCNN 2021: 1-8 - [c258]Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King:
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. KDD 2021: 1975-1985 - [c257]Zhihang Hu, Bhaavanaa Thumu, Yuren Qin, ZhiSheng Tao, Yijian Lu, Omar Kan, Yu Li, Irwin King:
DeepCURATER: Deep Learning for CoURse And Teaching Evaluation and Review. TALE 2021: 646-653 - [i75]Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King:
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data. CoRR abs/2101.06569 (2021) - [i74]Thomas K. F. Chiu, Helen Meng, Ching-Sing Chai, Irwin King, Savio Wong, Yeung Yam:
Creation and Evaluation of a Pre-tertiary Artificial Intelligence (AI) Curriculum. CoRR abs/2101.07570 (2021) - [i73]Yifan Gao, Jingjing Li, Michael R. Lyu, Irwin King:
Open-Retrieval Conversational Machine Reading. CoRR abs/2102.08633 (2021) - [i72]Zixing Song, Xiangli Yang, Zenglin Xu, Irwin King:
Graph-based Semi-supervised Learning: A Comprehensive Review. CoRR abs/2102.13303 (2021) - [i71]Menglin Yang, Ziqiao Meng, Irwin King:
FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding. CoRR abs/2103.00164 (2021) - [i70]Xiangli Yang, Zixing Song, Irwin King, Zenglin Xu:
A Survey on Deep Semi-supervised Learning. CoRR abs/2103.00550 (2021) - [i69]Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Shuming Shi, Michael R. Lyu, Irwin King:
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation. CoRR abs/2106.00941 (2021) - [i68]Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu:
Learning by Distillation: A Self-Supervised Learning Framework for Optical Flow Estimation. CoRR abs/2106.04195 (2021) - [i67]Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King:
Discrete Auto-regressive Variational Attention Models for Text Modeling. CoRR abs/2106.08571 (2021) - [i66]Hou Pong Chan, Irwin King:
A Condense-then-Select Strategy for Text Summarization. CoRR abs/2106.10468 (2021) - [i65]Wang Chen, Piji Li, Irwin King:
A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy. CoRR abs/2106.13945 (2021) - [i64]Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King:
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. CoRR abs/2107.03767 (2021) - [i63]Wang Chen, Piji Li, Hou Pong Chan, Irwin King:
Dialogue Summarization with Supporting Utterance Flow Modeling and Fact Regularization. CoRR abs/2108.01268 (2021) - [i62]Hou Pong Chan, Lu Wang, Irwin King:
Controllable Summarization with Constrained Markov Decision Process. CoRR abs/2108.03405 (2021) - [i61]Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jian Hao, Irwin King:
Modeling Scale-free Graphs for Knowledge-aware Recommendation. CoRR abs/2108.06468 (2021) - [i60]Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King:
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation. CoRR abs/2109.02046 (2021) - [i59]Yao Ma, Shilin Zhao, Weixiao Wang, Yaoman Li, Irwin King:
Multimodality in Meta-Learning: A Comprehensive Survey. CoRR abs/2109.13576 (2021) - [i58]Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu:
Towards Efficient Post-training Quantization of Pre-trained Language Models. CoRR abs/2109.15082 (2021) - [i57]Yankai Chen, Yifei Zhang, Yingxue Zhang, Huifeng Guo, Jingjie Li, Ruiming Tang, Xiuqiang He, Irwin King:
Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation. CoRR abs/2112.01944 (2021) - 2020
- [j65]Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King:
Effective Data-Aware Covariance Estimator From Compressed Data. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2441-2454 (2020) - [c256]Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu:
Few Shot Network Compression via Cross Distillation. AAAI 2020: 3203-3210 - [c255]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network. AAAI 2020: 8002-8009 - [c254]Pengpeng Liu, Xintong Han, Michael R. Lyu, Irwin King, Jia Xu:
Learning 3D Face Reconstruction with a Pose Guidance Network. ACCV (5) 2020: 154-169 - [c253]Jichuan Zeng, Xi Victoria Lin, Steven C. H. Hoi, Richard Socher, Caiming Xiong, Michael R. Lyu, Irwin King:
Photon: A Robust Cross-Domain Text-to-SQL System. ACL (demo) 2020: 204-214 - [c252]Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi:
Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. ACL 2020: 935-945 - [c251]Wang Chen, Hou Pong Chan, Piji Li, Irwin King:
Exclusive Hierarchical Decoding for Deep Keyphrase Generation. ACL 2020: 1095-1105 - [c250]Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai:
Boosting the Transferability of Adversarial Samples via Attention. CVPR 2020: 1158-1167 - [c249]Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching. CVPR 2020: 6647-6656 - [c248]Weibin Wu, Yuxin Su, Xixian Chen, Shenglin Zhao, Irwin King, Michael R. Lyu, Yu-Wing Tai:
Towards Global Explanations of Convolutional Neural Networks With Concept Attribution. CVPR 2020: 8649-8658 - [c247]Yifan Gao, Piji Li, Wei Bi, Xiaojiang Liu, Michael R. Lyu, Irwin King:
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning. EMNLP (Findings) 2020: 431-440 - [c246]Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu:
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. EMNLP (1) 2020: 2255-2266 - [c245]Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu:
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. EMNLP (1) 2020: 2439-2449 - [c244]Yue Wang, Jing Li, Michael R. Lyu, Irwin King:
Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings. EMNLP (1) 2020: 3311-3324 - [c243]Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi:
VD-BERT: A Unified Vision and Dialog Transformer with BERT. EMNLP (1) 2020: 3325-3338 - [c242]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Exploiting Unsupervised Data for Emotion Recognition in Conversations. EMNLP (Findings) 2020: 4839-4846 - [c241]Menglin Yang, Ziqiao Meng, Irwin King:
FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding. ICDM 2020: 731-740 - [c240]Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King:
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data. ICONIP (5) 2020: 21-29 - [c239]Chandni Saxena, Tianyu Liu, Irwin King:
A Survey of Graph Curvature and Embedding in Non-Euclidean Spaces. ICONIP (2) 2020: 127-139 - [c238]Yaoman Li, Irwin King:
AutoGraph: Automated Graph Neural Network. ICONIP (2) 2020: 189-201 - [c237]Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King:
Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach. IJCAI 2020: 3544-3550 - [c236]Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King:
Unsupervised Text Generation by Learning from Search. NeurIPS 2020 - [c235]Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Xupeng Shi, Junzhou Huang, Irwin King, Michael R. Lyu, Jian Cheng:
Revisiting Parameter Sharing for Automatic Neural Channel Number Search. NeurIPS 2020 - [c234]Hou Pong Chan, Wang Chen, Irwin King:
A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss. SIGIR 2020: 1191-1200 - [c233]Rudi Santoso Chow, Chak Ming Lam, Irwin King:
Crisis Resilience Pedagogy (CRP) for Teaching and Learning. TALE 2020: 384-391 - [c232]Haiyan Cai, Irwin King:
Education Technology for Online Learning in Times of Crisis. TALE 2020: 758-763 - [c231]Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. WWW 2020: 1502-1513 - [c230]Xinyu Fu, Jiani Zhang, Ziqiao Meng, Irwin King:
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding. WWW 2020: 2331-2341 - [e25]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part IV. Communications in Computer and Information Science 1332, Springer 2020, ISBN 978-3-030-63819-1 [contents] - [e24]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part V. Communications in Computer and Information Science 1333, Springer 2020, ISBN 978-3-030-63822-1 [contents] - [e23]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12532, Springer 2020, ISBN 978-3-030-63829-0 [contents] - [e22]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12533, Springer 2020, ISBN 978-3-030-63832-0 [contents] - [e21]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12534, Springer 2020, ISBN 978-3-030-63835-1 [contents] - [e20]Yennun Huang, Irwin King, Tie-Yan Liu, Maarten van Steen:
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020. ACM / IW3C2 2020, ISBN 978-1-4503-7023-3 [contents] - [i56]Xinyu Fu, Jiani Zhang, Ziqiao Meng, Irwin King:
MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding. CoRR abs/2002.01680 (2020) - [i55]Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What Changed Your Mind: The Roles of Dynamic Topics and Discourse in Argumentation Process. CoRR abs/2002.03536 (2020) - [i54]Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, Irwin King:
Automating App Review Response Generation. CoRR abs/2002.03552 (2020) - [i53]Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching. CoRR abs/2004.02138 (2020) - [i52]Wang Chen, Hou Pong Chan, Piji Li, Irwin King:
Exclusive Hierarchical Decoding for Deep Keyphrase Generation. CoRR abs/2004.08511 (2020) - [i51]Xianghong Fang, Haoli Bai, Zenglin Xu, Michael R. Lyu, Irwin King:
Discrete Variational Attention Models for Language Generation. CoRR abs/2004.09764 (2020) - [i50]Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi:
VD-BERT: A Unified Vision and Dialog Transformer with BERT. CoRR abs/2004.13278 (2020) - [i49]Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi:
EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. CoRR abs/2005.12484 (2020) - [i48]Hou Pong Chan, Wang Chen, Irwin King:
A Unified Dual-view Model for Review Summarization and Sentiment Classification with Inconsistency Loss. CoRR abs/2006.01592 (2020) - [i47]Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King:
Unsupervised Text Generation by Learning from Search. CoRR abs/2007.08557 (2020) - [i46]Jichuan Zeng, Xi Victoria Lin, Caiming Xiong, Richard Socher, Michael R. Lyu, Irwin King, Steven C. H. Hoi:
Photon: A Robust Cross-Domain Text-to-SQL System. CoRR abs/2007.15280 (2020) - [i45]Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King:
Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining. CoRR abs/2008.07097 (2020) - [i44]Cuiyun Gao, Jichuan Zeng, Zhiyuan Wen, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
Emerging App Issue Identification via Online Joint Sentiment-Topic Tracing. CoRR abs/2008.09976 (2020) - [i43]Cuiyun Gao, Jichuan Zeng, David Lo, Xin Xia, Irwin King, Michael R. Lyu:
An Empirical Study of In-App Advertising Issues Based on Large Scale App Review Analysis. CoRR abs/2008.12112 (2020) - [i42]Yifan Gao, Piji Li, Wei Bi, Xiaojiang Liu, Michael R. Lyu, Irwin King:
Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning. CoRR abs/2010.01495 (2020) - [i41]Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu:
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. CoRR abs/2010.01838 (2020) - [i40]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Exploiting Unsupervised Data for Emotion Recognition in Conversations. CoRR abs/2010.01908 (2020) - [i39]Wenxiang Jiao, Xing Wang, Shilin He, Irwin King, Michael R. Lyu, Zhaopeng Tu:
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation. CoRR abs/2010.02552 (2020) - [i38]Pengpeng Liu, Xintong Han, Michael R. Lyu, Irwin King, Jia Xu:
Learning 3D Face Reconstruction with a Pose Guidance Network. CoRR abs/2010.04384 (2020) - [i37]Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King:
Making Online Sketching Hashing Even Faster. CoRR abs/2010.04948 (2020) - [i36]Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King:
Effective Data-aware Covariance Estimator from Compressed Data. CoRR abs/2010.04966 (2020) - [i35]Cuiyun Gao, Jichuan Zeng, Federica Sarro, David Lo, Irwin King, Michael R. Lyu:
Do Users Care about Ad's Performance Costs? Exploring the Effects of the Performance Costs of In-App Ads on User Experience. CoRR abs/2010.16063 (2020) - [i34]Yue Wang, Jing Li, Michael R. Lyu, Irwin King:
Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings. CoRR abs/2011.01565 (2020) - [i33]Yaoman Li, Irwin King:
AutoGraph: Automated Graph Neural Network. CoRR abs/2011.11288 (2020) - [i32]Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King:
BinaryBERT: Pushing the Limit of BERT Quantization. CoRR abs/2012.15701 (2020)
2010 – 2019
- 2019
- [j64]Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations. Trans. Assoc. Comput. Linguistics 7: 267-281 (2019) - [c229]Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu:
Title-Guided Encoding for Keyphrase Generation. AAAI 2019: 6268-6275 - [c228]Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu:
Generating Distractors for Reading Comprehension Questions from Real Examinations. AAAI 2019: 6423-6430 - [c227]Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
DDFlow: Learning Optical Flow with Unlabeled Data Distillation. AAAI 2019: 8770-8777 - [c226]Hou Pong Chan, Wang Chen, Lu Wang, Irwin King:
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards. ACL (1) 2019: 2163-2174 - [c225]Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi:
Topic-Aware Neural Keyphrase Generation for Social Media Language. ACL (1) 2019: 2516-2526 - [c224]Yifan Gao, Piji Li, Irwin King, Michael R. Lyu:
Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling. ACL (1) 2019: 4853-4862 - [c223]Feng Xia, Huan Liu, Irwin King, Kuansan Wang:
BigScholar 2019: The 6th Workshop on Big Scholarly Data. CIKM 2019: 3003-3004 - [c222]Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu:
SelFlow: Self-Supervised Learning of Optical Flow. CVPR 2019: 4571-4580 - [c221]Weibin Wu, Hui Xu, Sanqiang Zhong, Michael R. Lyu, Irwin King:
Deep Validation: Toward Detecting Real-World Corner Cases for Deep Neural Networks. DSN 2019: 125-137 - [c220]Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu:
Improving Question Generation With to the Point Context. EMNLP/IJCNLP (1) 2019: 3214-3224 - [c219]Cuiyun Gao, Wujie Zheng, Yuetang Deng, David Lo, Jichuan Zeng, Michael R. Lyu, Irwin King:
Emerging app issue identification from user feedback: experience on WeChat. ICSE (SEIP) 2019: 279-288 - [c218]Yuxin Su, Shenglin Zhao, Xixian Chen, Irwin King, Michael R. Lyu:
Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators. IJCAI 2019: 3483-3489 - [c217]Jiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King:
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems. IJCAI 2019: 4264-4270 - [c216]Yifan Gao, Lidong Bing, Wang Chen, Michael R. Lyu, Irwin King:
Difficulty Controllable Generation of Reading Comprehension Questions. IJCAI 2019: 4968-4974 - [c215]Yaoman Li, Irwin King:
Architecture Search for Image Inpainting. ISNN (1) 2019: 106-115 - [c214]Cuiyun Gao, Jichuan Zeng, Xin Xia, David Lo, Michael R. Lyu, Irwin King:
Automating App Review Response Generation. ASE 2019: 163-175 - [c213]Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu:
HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition. NAACL-HLT (1) 2019: 397-406 - [c212]Yue Wang, Jing Li, Irwin King, Michael R. Lyu, Shuming Shi:
Microblog Hashtag Generation via Encoding Conversation Contexts. NAACL-HLT (1) 2019: 1624-1633 - [c211]Wang Chen, Hou Pong Chan, Piji Li, Lidong Bing, Irwin King:
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction. NAACL-HLT (1) 2019: 2846-2856 - [c210]Rudi Chow, Marco Ho, Irwin King:
Online Micro-Modules Library Production for Fundamental Programming Courses with Active Learning. TALE 2019: 1-5 - [i31]Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
DDFlow: Learning Optical Flow with Unlabeled Data Distillation. CoRR abs/1902.09145 (2019) - [i30]Jichuan Zeng, Jing Li, Yulan He, Cuiyun Gao, Michael R. Lyu, Irwin King:
What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations. CoRR abs/1903.07319 (2019) - [i29]Wang Chen, Hou Pong Chan, Piji Li, Lidong Bing, Irwin King:
An Integrated Approach for Keyphrase Generation via Exploring the Power of Retrieval and Extraction. CoRR abs/1904.03454 (2019) - [i28]Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu:
HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition. CoRR abs/1904.04446 (2019) - [i27]Pengpeng Liu, Michael R. Lyu, Irwin King, Jia Xu:
SelFlow: Self-Supervised Learning of Optical Flow. CoRR abs/1904.09117 (2019) - [i26]Yue Wang, Jing Li, Irwin King, Michael R. Lyu, Shuming Shi:
Microblog Hashtag Generation via Encoding Conversation Contexts. CoRR abs/1905.07584 (2019) - [i25]Jiani Zhang, Xingjian Shi, Shenglin Zhao, Irwin King:
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems. CoRR abs/1905.13129 (2019) - [i24]Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi:
Topic-Aware Neural Keyphrase Generation for Social Media Language. CoRR abs/1906.03889 (2019) - [i23]Hou Pong Chan, Wang Chen, Lu Wang, Irwin King:
Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards. CoRR abs/1906.04106 (2019) - [i22]Yifan Gao, Piji Li, Irwin King, Michael R. Lyu:
Interconnected Question Generation with Coreference Alignment and Conversation Flow Modeling. CoRR abs/1906.06893 (2019) - [i21]Jingjing Li, Yifan Gao, Lidong Bing, Irwin King, Michael R. Lyu:
Improving Question Generation With to the Point Context. CoRR abs/1910.06036 (2019) - [i20]Wenxiang Jiao, Michael R. Lyu, Irwin King:
PT-CoDE: Pre-trained Context-Dependent Encoder for Utterance-level Emotion Recognition. CoRR abs/1910.08916 (2019) - [i19]Wenxiang Jiao, Irwin King, Michael R. Lyu:
Improving Word Representations: A Sub-sampled Unigram Distribution for Negative Sampling. CoRR abs/1910.09362 (2019) - [i18]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network. CoRR abs/1911.09075 (2019) - [i17]Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu:
Few Shot Network Compression via Cross Distillation. CoRR abs/1911.09450 (2019) - 2018
- [b1]Shenglin Zhao, Michael R. Lyu, Irwin King:
Point-of-Interest Recommendation in Location-Based Social Networks. Springer Briefs in Computer Science, Springer 2018, ISBN 978-981-13-1348-6, pp. 1-99 - [j63]Shenglin Zhao, Irwin King, Michael R. Lyu:
Aggregated Temporal Tensor Factorization Model for Point-of-Interest Recommendation. Neural Process. Lett. 47(3): 975-992 (2018) - [j62]Hongyi Zhang, Xingyu Niu, Irwin King, Michael R. Lyu:
Overlapping community detection with preference and locality information: a non-negative matrix factorization approach. Soc. Netw. Anal. Min. 8(1): 43:1-43:14 (2018) - [j61]Junjie Hu, Haiqin Yang, Michael R. Lyu, Irwin King, Anthony Man-Cho So:
Online Nonlinear AUC Maximization for Imbalanced Data Sets. IEEE Trans. Neural Networks Learn. Syst. 29(4): 882-895 (2018) - [c209]Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King, Zenglin Xu:
Neural Relational Topic Models for Scientific Article Analysis. CIKM 2018: 27-36 - [c208]Yuxin Su, Michael R. Lyu, Irwin King:
Communication-Efficient Distributed Deep Metric Learning with Hybrid Synchronization. CIKM 2018: 1463-1472 - [c207]Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu, Irwin King:
Topic Memory Networks for Short Text Classification. EMNLP 2018: 3120-3131 - [c206]Hou Pong Chan, Irwin King:
Thread Popularity Prediction and Tracking with a Permutation-invariant Model. EMNLP 2018: 3392-3401 - [c205]Shenglin Zhao, Xixian Chen, Irwin King, Michael R. Lyu:
Personalized Sequential Check-in Prediction: Beyond Geographical and Temporal Contexts. ICME 2018: 1-6 - [c204]Cuiyun Gao, Jichuan Zeng, Michael R. Lyu, Irwin King:
Online app review analysis for identifying emerging issues. ICSE 2018: 48-58 - [c203]Xiaotian Yu, Irwin King, Michael R. Lyu, Tianbao Yang:
A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization. IJCAI 2018: 3040-3046 - [c202]Jian Li, Yue Wang, Michael R. Lyu, Irwin King:
Code Completion with Neural Attention and Pointer Networks. IJCAI 2018: 4159-4165 - [c201]Cuiyun Gao, Jichuan Zeng, Federica Sarro, Michael R. Lyu, Irwin King:
Exploring the effects of ad schemes on the performance cost of mobile phones. A-Mobile@ASE 2018: 13-18 - [c200]Han Shao, Xiaotian Yu, Irwin King, Michael R. Lyu:
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs. NeurIPS 2018: 8430-8439 - [c199]Cuiyun Gao, Jichuan Zeng, David Lo, Chin-Yew Lin, Michael R. Lyu, Irwin King:
INFAR: insight extraction from app reviews. ESEC/SIGSOFT FSE 2018: 904-907 - [c198]Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung:
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs. UAI 2018: 339-349 - [c197]Xiaotian Yu, Han Shao, Michael R. Lyu, Irwin King:
Pure Exploration of Multi-Armed Bandits with Heavy-Tailed Payoffs. UAI 2018: 937-946 - [r2]Hao Ma, Irwin King, Michael R. Lyu:
Social Recommendation in Dynamic Networks. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i16]Jiani Zhang, Xingjian Shi, Junyuan Xie, Hao Ma, Irwin King, Dit-Yan Yeung:
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs. CoRR abs/1803.07294 (2018) - [i15]Hui Xu, Yuxin Su, Zirui Zhao, Yangfan Zhou, Michael R. Lyu, Irwin King:
DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation. CoRR abs/1806.10313 (2018) - [i14]Yifan Gao, Jianan Wang, Lidong Bing, Irwin King, Michael R. Lyu:
Difficulty Controllable Question Generation for Reading Comprehension. CoRR abs/1807.03586 (2018) - [i13]Wang Chen, Yifan Gao, Jiani Zhang, Irwin King, Michael R. Lyu:
Title-Guided Encoding for Keyphrase Generation. CoRR abs/1808.08575 (2018) - [i12]Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu:
Generating Distractors for Reading Comprehension Questions from Real Examinations. CoRR abs/1809.02768 (2018) - [i11]Jichuan Zeng, Jing Li, Yan Song, Cuiyun Gao, Michael R. Lyu, Irwin King:
Topic Memory Networks for Short Text Classification. CoRR abs/1809.03664 (2018) - [i10]Han Shao, Xiaotian Yu, Irwin King, Michael R. Lyu:
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs. CoRR abs/1810.10895 (2018) - 2017
- [j60]Geoffrey Holmes, Tie-Yan Liu, Hang Li, Irwin King, Masashi Sugiyama, Zhi-Hua Zhou:
Introduction: special issue of selected papers from ACML 2015. Mach. Learn. 106(4): 459-461 (2017) - [c196]Xiaotian Yu, Michael R. Lyu, Irwin King:
CBRAP: Contextual Bandits with RAndom Projection. AAAI 2017: 2859-2866 - [c195]Xingyu Niu, Hongyi Zhang, Michael R. Lyu, Irwin King:
From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach. ADMA 2017: 180-194 - [c194]Jiajun Cheng, Shenglin Zhao, Jiani Zhang, Irwin King, Xin Zhang, Hui Wang:
Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network. CIKM 2017: 97-106 - [c193]Sheng Zhang, Shenglin Zhao, Mingxuan Yuan, Jia Zeng, Jianguo Yao, Michael R. Lyu, Irwin King:
Traffic Prediction Based Power Saving in Cellular Networks: A Machine Learning Method. SIGSPATIAL/GIS 2017: 29:1-29:10 - [c192]Xiaotian Yu, Irwin King, Michael R. Lyu:
Risk Control of Best Arm Identification in Multi-armed Bandits via Successive Rejects. ICDM 2017: 1147-1152 - [c191]Xixian Chen, Michael R. Lyu, Irwin King:
Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data. ICML 2017: 767-776 - [c190]Shenglin Zhao, Irwin King, Michael R. Lyu:
Geo-Pairwise Ranking Matrix Factorization Model for Point-of-Interest Recommendation. ICONIP (5) 2017: 368-377 - [c189]Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu:
Simple and efficient parallelization for probabilistic temporal tensor factorization. IJCNN 2017: 1-8 - [c188]Tong Zhao, Julian J. McAuley, Mengya Li, Irwin King:
Improving recommendation accuracy using networks of substitutable and complementary products. IJCNN 2017: 3649-3655 - [c187]Tong Zhao, Mandy Hu, Razieh Rahimi, Irwin King:
It's about time! Modeling customer behaviors as the secretary problem in daily deal websites. IJCNN 2017: 3670-3679 - [c186]Yuxin Su, Irwin King, Michael R. Lyu:
Learning to Rank Using Localized Geometric Mean Metrics. SIGIR 2017: 45-54 - [c185]Shenglin Zhao, Irwin King, Michael R. Lyu, Jia Zeng, Mingxuan Yuan:
Mining Business Opportunities from Location-based Social Networks. SIGIR 2017: 1037-1040 - [c184]Xixian Chen, Irwin King, Michael R. Lyu:
FROSH: FasteR Online Sketching Hashing. UAI 2017 - [c183]Shenglin Zhao, Tong Zhao, Irwin King, Michael R. Lyu:
Geo-Teaser: Geo-Temporal Sequential Embedding Rank for Point-of-interest Recommendation. WWW (Companion Volume) 2017: 153-162 - [c182]Wei Wang, Jiaying Liu, Feng Xia, Irwin King, Hanghang Tong:
Shifu: Deep Learning Based Advisor-advisee Relationship Mining in Scholarly Big Data. WWW (Companion Volume) 2017: 303-310 - [c181]Hou Pong Chan, Irwin King:
Leveraging Social Connections to Improve Peer Assessment in MOOCs. WWW (Companion Volume) 2017: 341-349 - [c180]Jiani Zhang, Xingjian Shi, Irwin King, Dit-Yan Yeung:
Dynamic Key-Value Memory Networks for Knowledge Tracing. WWW 2017: 765-774 - [i9]Yuxin Su, Irwin King, Michael R. Lyu:
Learning to Rank Using Localized Geometric Mean Metrics. CoRR abs/1705.07563 (2017) - [i8]Joachim de Curtò, Irene C. Zarza, Fernando De la Torre, Irwin King, Michael R. Lyu:
High-Resolution Deep Convolutional Generative Adversarial Networks. CoRR abs/1711.06491 (2017) - [i7]Pengpeng Liu, Xiaojuan Qi, Pinjia He, Yikang Li, Michael R. Lyu, Irwin King:
Semantically Consistent Image Completion with Fine-grained Details. CoRR abs/1711.09345 (2017) - [i6]Jian Li, Yue Wang, Irwin King, Michael R. Lyu:
Code Completion with Neural Attention and Pointer Networks. CoRR abs/1711.09573 (2017) - 2016
- [j59]Razieh Rahimi, Azadeh Shakery, Irwin King:
Extracting translations from comparable corpora for Cross-Language Information Retrieval using the language modeling framework. Inf. Process. Manag. 52(2): 299-318 (2016) - [j58]Kuan-Ta Chen, Omar Alonso, Martha A. Larson, Irwin King:
Introduction to the Special Issue on Crowd in Intelligent Systems. ACM Trans. Intell. Syst. Technol. 7(4): 44:1-44:2 (2016) - [j57]Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu:
A Unified Point-of-Interest Recommendation Framework in Location-Based Social Networks. ACM Trans. Intell. Syst. Technol. 8(1): 10:1-10:21 (2016) - [c179]Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael R. Lyu, Irwin King:
STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation. AAAI 2016: 315-322 - [c178]Tong Zhao, Irwin King:
Constructing Reliable Gradient Exploration for Online Learning to Rank. CIKM 2016: 1643-1652 - [c177]Tong Zhao, Irwin King:
Locality-Sensitive Linear Bandit Model for Online Social Recommendation. ICONIP (1) 2016: 80-90 - [c176]Man-Ching Yuen, Irwin King, Kwong-Sak Leung:
An Online-Updating Approach on Task Recommendation in Crowdsourcing Systems. ICONIP (1) 2016: 91-101 - [c175]Jiani Zhang, Irwin King:
Topological Order Discovery via Deep Knowledge Tracing. ICONIP (4) 2016: 112-119 - [c174]Shenglin Zhao, Michael R. Lyu, Irwin King:
Aggregated Temporal Tensor Factorization Model for Point-of-interest Recommendation. ICONIP (3) 2016: 450-458 - [c173]Hongyi Zhang, Tong Zhao, Irwin King, Michael R. Lyu:
Modeling the Homophily Effect between Links and Communities for Overlapping Community Detection. IJCAI 2016: 3938-3944 - [c172]Yuxin Su, Haiqin Yang, Irwin King, Michael R. Lyu:
Distributed Information-Theoretic Metric Learning in Apache Spark. IJCNN 2016: 3306-3313 - [c171]Xiaotian Yu, Haiqin Yang, Irwin King, Michael R. Lyu:
Online non-negative dictionary learning via moment information for sparse Poisson coding. IJCNN 2016: 5094-5101 - [c170]Hou Pong Chan, Tong Zhao, Irwin King:
Trust-aware Peer Assessment using Multi-armed Bandit Algorithms. WWW (Companion Volume) 2016: 899-903 - [i5]Shenglin Zhao, Tong Zhao, Irwin King, Michael R. Lyu:
GT-SEER: Geo-Temporal SEquential Embedding Rank for Point-of-interest Recommendation. CoRR abs/1606.05859 (2016) - [i4]Shenglin Zhao, Irwin King, Michael R. Lyu:
A Survey of Point-of-interest Recommendation in Location-based Social Networks. CoRR abs/1607.00647 (2016) - [i3]Guangxi Li, Zenglin Xu, Linnan Wang, Jinmian Ye, Irwin King, Michael R. Lyu:
Simple and Efficient Parallelization for Probabilistic Temporal Tensor Factorization. CoRR abs/1611.03578 (2016) - [i2]Jiani Zhang, Xingjian Shi, Irwin King, Dit-Yan Yeung:
Dynamic Key-Value Memory Network for Knowledge Tracing. CoRR abs/1611.08108 (2016) - 2015
- [j56]Razieh Rahimi, Azadeh Shakery, Irwin King:
Multilingual information retrieval in the language modeling framework. Inf. Retr. J. 18(3): 246-281 (2015) - [j55]Tom Chao Zhou, Michael Rung-Tsong Lyu, Irwin King, Jie Lou:
Learning to suggest questions in social media. Knowl. Inf. Syst. 43(2): 389-416 (2015) - [j54]Baichuan Li, Rong-Hua Li, Irwin King, Michael R. Lyu, Jeffrey Xu Yu:
A topic-biased user reputation model in rating systems. Knowl. Inf. Syst. 44(3): 581-607 (2015) - [j53]Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu:
Maximum margin semi-supervised learning with irrelevant data. Neural Networks 70: 90-102 (2015) - [j52]Haiqin Yang, Zenglin Xu, Michael R. Lyu, Irwin King:
Budget constrained non-monotonic feature selection. Neural Networks 71: 214-224 (2015) - [j51]Man-Ching Yuen, Irwin King, Kwong-Sak Leung:
TaskRec: A Task Recommendation Framework in Crowdsourcing Systems. Neural Process. Lett. 41(2): 223-238 (2015) - [j50]Haiqin Yang, Guang Ling, Yuxin Su, Michael R. Lyu, Irwin King:
Boosting Response Aware Model-Based Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 27(8): 2064-2077 (2015) - [c169]Hongyi Zhang, Irwin King, Michael R. Lyu:
Incorporating Implicit Link Preference Into Overlapping Community Detection. AAAI 2015: 396-402 - [c168]Junjie Hu, Haiqin Yang, Irwin King, Michael R. Lyu, Anthony Man-Cho So:
Kernelized Online Imbalanced Learning with Fixed Budgets. AAAI 2015: 2666-2672 - [c167]Tong Zhao, Julian J. McAuley, Irwin King:
Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation. CIKM 2015: 821-830 - [c166]Tong Zhao, H. Vicky Zhao, Irwin King:
Exploiting Game Theoretic Analysis for Link Recommendation in Social Networks. CIKM 2015: 851-860 - [c165]Panagiotis Andriotis, Theo Tryfonas, George C. Oikonomou, Irwin King:
A Framework for Describing Multimedia Circulation in a Smartphone Ecosystem. IFIP Int. Conf. Digital Forensics 2015: 251-267 - [c164]Hongyi Zhang, Michael R. Lyu, Irwin King:
Exploiting k-Degree Locality to Improve Overlapping Community Detection. IJCAI 2015: 2394-2400 - [c163]Xixian Chen, Haiqin Yang, Irwin King, Michael R. Lyu:
Training-Efficient Feature Map for Shift-Invariant Kernels. IJCAI 2015: 3395-3401 - [c162]Yuanyuan Man, Mantian Mandy Hu, Irwin King:
Group buying in social coupon: Myths or facts. IJCNN 2015: 1-8 - [c161]Shouyuan Chen, Yang Liu, Michael R. Lyu, Irwin King, Shengyu Zhang:
Fast Relative-Error Approximation Algorithm for Ridge Regression. UAI 2015: 201-210 - [c160]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications. WSDM 2015: 425-426 - [e19]Guandong Xu, Yves Demazeau, Shu-Heng Chen, Junjie Wu, Michael Gavin, Irwin King, Jie Cao, Zhiang Wu, Zhan Bu:
2015 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC 2015, Nanjing, China, October 30 - December 1, 2015. IEEE 2015, ISBN 978-1-4673-8783-5 [contents] - 2014
- [j49]Bo Xu, Kaizhu Huang, Irwin King, Cheng-Lin Liu, Jun Sun, Satoshi Naoi:
Graphical lasso quadratic discriminant function and its application to character recognition. Neurocomputing 129: 33-40 (2014) - [c159]Tong Zhao, Julian J. McAuley, Irwin King:
Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering. CIKM 2014: 261-270 - [c158]Razieh Rahimi, Azadeh Shakery, Irwin King:
Axiomatic Analysis of Cross-Language Information Retrieval. CIKM 2014: 1875-1878 - [c157]Philip S. Yu, Masaru Kitsuregawa, Hiroshi Motoda, Bart Goethals, Minyi Guo, Longbing Cao, George Karypis, Irwin King, Wei Wang:
Welcome from DSAA 2014 chairs. DSAA 2014: 9-10 - [c156]Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu:
Non-monotonic Feature Selection for Regression. ICONIP (2) 2014: 44-51 - [c155]Yuanyuan Man, Shuai Wang, Tian-Yu Zhang, T. J. Wong, Irwin King:
Corporate Leaders Analytics and Network System (CLANS): Constructing and Mining Social Networks among Corporations and Business Elites in China. ICONIP (1) 2014: 610-618 - [c154]Tong Zhao, Junjie Hu, Pinjia He, Hang Fan, Michael R. Lyu, Irwin King:
Exploiting homophily-based implicit social network to improve recommendation performance. IJCNN 2014: 2539-2547 - [c153]Shouyuan Chen, Tian Lin, Irwin King, Michael R. Lyu, Wei Chen:
Combinatorial Pure Exploration of Multi-Armed Bandits. NIPS 2014: 379-387 - [c152]Guang Ling, Michael R. Lyu, Irwin King:
Ratings meet reviews, a combined approach to recommend. RecSys 2014: 105-112 - [c151]Chen Cheng, Fen Xia, Tong Zhang, Irwin King, Michael R. Lyu:
Gradient boosting factorization machines. RecSys 2014: 265-272 - [c150]Tak Pang Lau, Shuai Wang, Yuanyuan Man, Chi Fai Yuen, Irwin King:
Language technologies for enhancement of teaching and learning in writing. WWW (Companion Volume) 2014: 1097-1102 - [e18]Zhigang Zeng, Yangmin Li, Irwin King:
Advances in Neural Networks - ISNN 2014 - 11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28- December 1, 2014. Proceedings. Lecture Notes in Computer Science 8866, Springer 2014, ISBN 978-3-319-12435-3 [contents] - [r1]Hao Ma, Irwin King, Michael R. Lyu:
Social Recommendation in Dynamic Networks. Encyclopedia of Social Network Analysis and Mining 2014: 1923-1929 - 2013
- [j48]Jie Tang, Ling Chen, Irwin King, Jianyong Wang:
Introduction to Special section on Large-scale Data Mining. Data Knowl. Eng. 87: 355-356 (2013) - [j47]Irwin King, Wolfgang Nejdl:
Introduction to the special section on twitter and microblogging services. ACM Trans. Intell. Syst. Technol. 4(1): 1:1-1:2 (2013) - [j46]Haiqin Yang, Michael R. Lyu, Irwin King:
Efficient online learning for multitask feature selection. ACM Trans. Knowl. Discov. Data 7(2): 6:1-6:27 (2013) - [j45]Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King:
Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization. IEEE Trans. Serv. Comput. 6(3): 289-299 (2013) - [c149]Chenxia Wu, Haiqin Yang, Jianke Zhu, Jiemi Zhang, Irwin King, Michael R. Lyu:
Sparse Poisson coding for high dimensional document clustering. IEEE BigData 2013: 512-517 - [c148]Baichuan Li, Jing Liu, Chin-Yew Lin, Irwin King, Michael R. Lyu:
A Hierarchical Entity-Based Approach to Structuralize User Generated Content in Social Media: A Case of Yahoo! Answers. EMNLP 2013: 1521-1532 - [c147]Shenglin Zhao, Irwin King, Michael R. Lyu:
Capturing Geographical Influence in POI Recommendations. ICONIP (2) 2013: 530-537 - [c146]Chen Cheng, Haiqin Yang, Michael R. Lyu, Irwin King:
Where You Like to Go Next: Successive Point-of-Interest Recommendation. IJCAI 2013: 2605-2611 - [c145]Guang Ling, Irwin King, Michael R. Lyu:
A Unified Framework for Reputation Estimation in Online Rating Systems. IJCAI 2013: 2670-2676 - [c144]Jianping Shi, Naiyan Wang, Yang Xia, Dit-Yan Yeung, Irwin King, Jiaya Jia:
SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering. IJCAI 2013: 2705-2711 - [c143]Shouyuan Chen, Michael R. Lyu, Irwin King, Zenglin Xu:
Exact and Stable Recovery of Pairwise Interaction Tensors. NIPS 2013: 1691-1699 - [e17]Longbing Cao, Hiroshi Motoda, Jaideep Srivastava, Ee-Peng Lim, Irwin King, Philip S. Yu, Wolfgang Nejdl, Guandong Xu, Gang Li, Ya Zhang:
Behavior and Social Computing, International Workshop on Behavior and Social Informatics, BSI 2013, Gold Coast, QLD, Australia, April 14-17, 2013 and International Workshop on Behavior and Social Informatics and Computing, BSIC 2013, Beijing, China, August 3-9, 2013, Revised Selected Papers. Lecture Notes in Computer Science 8178, Springer 2013, ISBN 978-3-319-04047-9 [contents] - [e16]Qiang Yang, Irwin King, Qing Li, Pearl Pu, George Karypis:
Seventh ACM Conference on Recommender Systems, RecSys '13, Hong Kong, China, October 12-16, 2013. ACM 2013, ISBN 978-1-4503-2409-0 [contents] - [e15]Leslie Carr, Alberto H. F. Laender, Bernadette Farias Lóscio, Irwin King, Marcus Fontoura, Denny Vrandecic, Lora Aroyo, José Palazzo M. de Oliveira, Fernanda Lima, Erik Wilde:
22nd International World Wide Web Conference, WWW '13, Rio de Janeiro, Brazil, May 13-17, 2013, Companion Volume. International World Wide Web Conferences Steering Committee / ACM 2013, ISBN 978-1-4503-2038-2 [contents] - 2012
- [j44]Stefan M. Rüger, Vijay V. Raghavan, Irwin King, Jimmy Xiangji Huang:
Special issue on advances in web intelligence. Neurocomputing 76(1): 48-49 (2012) - [j43]Zhenjiang Lin, Michael R. Lyu, Irwin King:
MatchSim: a novel similarity measure based on maximum neighborhood matching. Knowl. Inf. Syst. 32(1): 141-166 (2012) - [j42]Hao Ma, Irwin King, Michael R. Lyu:
Mining Web Graphs for Recommendations. IEEE Trans. Knowl. Data Eng. 24(6): 1051-1064 (2012) - [j41]Zibin Zheng, Tom Chao Zhou, Michael R. Lyu, Irwin King:
Component Ranking for Fault-Tolerant Cloud Applications. IEEE Trans. Serv. Comput. 5(4): 540-550 (2012) - [j40]Hongbo Deng, Irwin King, Michael R. Lyu:
Enhanced Models for Expertise Retrieval Using Community-Aware Strategies. IEEE Trans. Syst. Man Cybern. Part B 42(1): 93-106 (2012) - [c142]Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu:
Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks. AAAI 2012: 17-23 - [c141]Tom Chao Zhou, Xiance Si, Edward Y. Chang, Irwin King, Michael R. Lyu:
A Data-Driven Approach to Question Subjectivity Identification in Community Question Answering. AAAI 2012: 164-170 - [c140]Xin Xin, Irwin King, Ritesh Agrawal, Michael R. Lyu, Heyan Huang:
Do ads compete or collaborate?: designing click models with full relationship incorporated. CIKM 2012: 1839-1843 - [c139]Priyanka Garg, Irwin King, Michael R. Lyu:
Information propagation in social rating networks. CIKM 2012: 2279-2282 - [c138]Man-Ching Yuen, Irwin King, Kwong-Sak Leung:
TaskRec: Probabilistic Matrix Factorization in Task Recommendation in Crowdsourcing Systems. ICONIP (2) 2012: 516-525 - [c137]Priyanka Garg, Irwin King, Michael R. Lyu:
Are You a Social Conformer? ICONIP (3) 2012: 694-701 - [c136]Baichuan Li, Michael R. Lyu, Irwin King:
Communities of Yahoo! Answers and Baidu Zhidao: Complementing or competing? IJCNN 2012: 1-8 - [c135]Guang Ling, Haiqin Yang, Irwin King, Michael R. Lyu:
Online learning for collaborative filtering. IJCNN 2012: 1-8 - [c134]Hongbo Deng, Jiawei Han, Michael R. Lyu, Irwin King:
Modeling and exploiting heterogeneous bibliographic networks for expertise ranking. JCDL 2012: 71-80 - [c133]Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King:
Response Aware Model-Based Collaborative Filtering. UAI 2012: 501-510 - [c132]Baichuan Li, Tan Jin, Michael R. Lyu, Irwin King, Barley Mak:
Analyzing and predicting question quality in community question answering services. WWW (Companion Volume) 2012: 775-782 - [c131]Tom Chao Zhou, Michael R. Lyu, Irwin King:
A classification-based approach to question routing in community question answering. WWW (Companion Volume) 2012: 783-790 - [i1]Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King:
Response Aware Model-Based Collaborative Filtering. CoRR abs/1210.4869 (2012) - 2011
- [j39]Stefan M. Rüger, Vijay V. Raghavan, Irwin King, Jimmy Xiangji Huang:
Special Issue Review: Neurocomputing - Special Issue on Advances in Web Intelligence. IEEE Intell. Informatics Bull. 12(1): 35-36 (2011) - [j38]Irwin King, Hang Li:
The fourth ACM international conference on web search and data mining (WSDM 2011). SIGIR Forum 45(2): 38-40 (2011) - [j37]Irwin King, Hang Li:
A report on the fourth ACM international conference on web search and data mining (WSDM 2011). SIGKDD Explor. 13(1): 52-53 (2011) - [j36]Irwin King, Hang Li:
The Fourth ACM International Conference on Web Search and Data Mining (WSDM 2011). SIGWEB Newsl. 2011(Summer): 1:1-1:4 (2011) - [j35]Hao Ma, Irwin King, Michael R. Lyu:
Learning to recommend with explicit and implicit social relations. ACM Trans. Intell. Syst. Technol. 2(3): 29:1-29:19 (2011) - [j34]Haiqin Yang, Zenglin Xu, Jieping Ye, Irwin King, Michael R. Lyu:
Efficient Sparse Generalized Multiple Kernel Learning. IEEE Trans. Neural Networks 22(3): 433-446 (2011) - [j33]Hao Ma, Tom Chao Zhou, Michael R. Lyu, Irwin King:
Improving Recommender Systems by Incorporating Social Contextual Information. ACM Trans. Inf. Syst. 29(2): 9:1-9:23 (2011) - [j32]Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King:
QoS-Aware Web Service Recommendation by Collaborative Filtering. IEEE Trans. Serv. Comput. 4(2): 140-152 (2011) - [c130]Tom Chao Zhou, Chin-Yew Lin, Irwin King, Michael R. Lyu, Young-In Song, Yunbo Cao:
Learning to Suggest Questions in Online Forums. AAAI 2011: 1298-1303 - [c129]Xiaofeng Yu, Irwin King, Michael R. Lyu:
Towards a top-down and bottom-up bidirectional approach to joint information extraction. CIKM 2011: 847-856 - [c128]Haiqin Yang, Shenghuo Zhu, Irwin King, Michael R. Lyu:
Can irrelevant data help semi-supervised learning, why and how? CIKM 2011: 937-946 - [c127]Baichuan Li, Irwin King, Michael R. Lyu:
Question routing in community question answering: putting category in its place. CIKM 2011: 2041-2044 - [c126]Baichuan Li, Xiance Si, Michael R. Lyu, Irwin King, Edward Y. Chang:
Question identification on twitter. CIKM 2011: 2477-2480 - [c125]Ritesh Agrawal, Xiaofeng Yu, Irwin King, Rémi Zajac:
Enrichment and Reductionism: Two Approaches for Web Query Classification. ICONIP (3) 2011: 148-157 - [c124]Bo Xu, Kaizhu Huang, Irwin King, Cheng-Lin Liu, Jun Sun, Satoshi Naoi:
Graphical Lasso Quadratic Discriminant Function for Character Recognition. ICONIP (3) 2011: 747-755 - [c123]Wei Wang, Baichuan Li, Irwin King:
Improving question retrieval in community question answering with label ranking. IJCNN 2011: 349-356 - [c122]Man-Ching Yuen, Irwin King, Kwong-Sak Leung:
Task Matching in Crowdsourcing. iThings/CPSCom 2011: 409-412 - [c121]Wujie Zheng, Hao Ma, Michael R. Lyu, Tao Xie, Irwin King:
Mining test oracles of web search engines. ASE 2011: 408-411 - [c120]Hao Ma, Chao Liu, Irwin King, Michael R. Lyu:
Probabilistic factor models for web site recommendation. SIGIR 2011: 265-274 - [c119]Man-Ching Yuen, Irwin King, Kwong-Sak Leung:
A Survey of Crowdsourcing Systems. SocialCom/PASSAT 2011: 766-773 - [c118]Hao Ma, Dengyong Zhou, Chao Liu, Michael R. Lyu, Irwin King:
Recommender systems with social regularization. WSDM 2011: 287-296 - [c117]Xin Xin, Michael R. Lyu, Irwin King:
CMAP: effective fusion of quality and relevance for multi-criteria recommendation. WSDM 2011: 455-464 - [c116]Mingzhen Mo, Irwin King, Kwong-Sak Leung:
Empirical Comparisons of Attack and Protection Algorithms for Online Social Networks. ANT/MobiWIS 2011: 705-712 - [e14]Bebo White, Irwin King, Philip Tsang:
Social Media Tools and Platforms in Learning Environments. Springer 2011, ISBN 978-3-642-20391-6 [contents] - [e13]Jie Tang, Irwin King, Ling Chen, Jianyong Wang:
Advanced Data Mining and Applications - 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part I. Lecture Notes in Computer Science 7120, Springer 2011, ISBN 978-3-642-25852-7 [contents] - [e12]Jie Tang, Irwin King, Ling Chen, Jianyong Wang:
Advanced Data Mining and Applications - 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part II. Lecture Notes in Computer Science 7121, Springer 2011, ISBN 978-3-642-25855-8 [contents] - [e11]Irwin King, Wolfgang Nejdl, Hang Li:
Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011. ACM 2011, ISBN 978-1-4503-0493-1 [contents] - 2010
- [j31]Wei Wang, Irwin King:
Label Ranking with Semi-Supervised Learning. Aust. J. Intell. Inf. Process. Syst. 12(1) (2010) - [j30]Hao Ma, Jianke Zhu, Michael R. Lyu, Irwin King:
Bridging the Semantic Gap Between Image Contents and Tags. IEEE Trans. Multim. 12(5): 462-473 (2010) - [j29]Zenglin Xu, Irwin King, Michael R. Lyu, Rong Jin:
Discriminative semi-supervised feature selection via manifold regularization. IEEE Trans. Neural Networks 21(7): 1033-1047 (2010) - [c115]Zenglin Xu, Rong Jin, Shenghuo Zhu, Michael R. Lyu, Irwin King:
Smooth Optimization for Effective Multiple Kernel Learning. AAAI 2010: 637-642 - [c114]Hao Ma, Michael R. Lyu, Irwin King:
Diversifying Query Suggestion Results. AAAI 2010: 1399-1404 - [c113]Tom Chao Zhou, Hao Ma, Michael R. Lyu, Irwin King:
UserRec: A User Recommendation Framework in Social Tagging Systems. AAAI 2010: 1486-1491 - [c112]Baichuan Li, Irwin King:
Routing questions to appropriate answerers in community question answering services. CIKM 2010: 1585-1588 - [c111]Haiqin Yang, Irwin King, Michael R. Lyu:
Online learning for multi-task feature selection. CIKM 2010: 1693-1696 - [c110]Irwin King:
Introduction to Social Computing. DASFAA (2) 2010: 482-484 - [c109]Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu:
Simple and Efficient Multiple Kernel Learning by Group Lasso. ICML 2010: 1175-1182 - [c108]Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu:
Online Learning for Group Lasso. ICML 2010: 1191-1198 - [c107]Dingyan Wang, Irwin King:
An Enhanced Semi-supervised Recommendation Model Based on Green's Function. ICONIP (1) 2010: 397-404 - [c106]Mingzhen Mo, Irwin King:
Exploit of Online Social Networks with Community-Based Graph Semi-Supervised Learning. ICONIP (1) 2010: 669-678 - [c105]Mingzhen Mo, Dingyan Wang, Baichuan Li, Dan Hong, Irwin King:
Exploit of online social networks with Semi-Supervised Learning. IJCNN 2010: 1-8 - [c104]Haiqin Yang, Irwin King, Michael R. Lyu:
Multi-task Learning for one-class classification. IJCNN 2010: 1-8 - [c103]Zibin Zheng, Tom Chao Zhou, Michael R. Lyu, Irwin King:
FTCloud: A Component Ranking Framework for Fault-Tolerant Cloud Applications. ISSRE 2010: 398-407 - [c102]Zhaojun Yang, Baichuan Li, Yi Zhu, Irwin King, Gina-Anne Levow, Helen M. Meng:
Collection of user judgments on spoken dialog system with crowdsourcing. SLT 2010: 277-282 - [c101]Baichuan Li, Zhaojun Yang, Yi Zhu, Helen M. Meng, Gina-Anne Levow, Irwin King:
Predicting user evaluations of spoken dialog systems using semi-supervised learning. SLT 2010: 283-288 - [c100]Zhaojun Yang, Baichuan Li, Yi Zhu, Irwin King, Gina-Anne Levow, Helen M. Meng:
Collaborative filtering model for user satisfaction prediction in Spoken Dialog System evaluation. SLT 2010: 472-477 - [c99]Yi Zhu, Zhaojun Yang, Helen M. Meng, Baichuan Li, Gina-Anne Levow, Irwin King:
Using finite state machines for evaluating spoken dialog systems. SLT 2010: 478-483 - [c98]Irwin King, Michael R. Lyu, Hao Ma:
Introduction to social recommendation. WWW 2010: 1355-1356 - [e10]Peidong Zhu, Lizhe Wang, Feng Xia, Huajun Chen, Ian McLoughlin, Shiao-Li Tsao, Mitsuhisa Sato, Sun-Ki Chai, Irwin King:
2010 IEEE/ACM Int'l Conference on Green Computing and Communications, GreenCom 2010, & Int'l Conference on Cyber, Physical and Social Computing, CPSCom 2010, Hangzhou, China, December 18-20, 2010. IEEE Computer Society 2010, ISBN 978-1-4244-9779-9 [contents] - [e9]Susanne Boll, Steven C. H. Hoi, Jiebo Luo, Roelof van Zwol, Rong Jin, Irwin King, Yiannis Kompatsiaris, Dong Xu:
Proceedings of second ACM SIGMM workshop on Social media, WSM@MM 2010, Firenze, Italy, October 25, 2010. ACM 2010, ISBN 978-1-4503-0173-2 [contents] - [e8]Jimmy Xiangji Huang, Irwin King, Vijay V. Raghavan, Stefan M. Rüger:
2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010, Toronto, Canada, August 31 - September 3, 2010, Main Conference Proceedings. IEEE Computer Society 2010, ISBN 978-0-7695-4191-4 [contents]
2000 – 2009
- 2009
- [j28]Timon C. Du, Feng Li, Irwin King:
Managing knowledge on the Web - Extracting ontology from HTML Web. Decis. Support Syst. 47(4): 319-331 (2009) - [j27]Xiang Peng, Irwin King:
A biased minimax probability machine-based scheme for relevance feedback in image retrieval. Neurocomputing 72(7-9): 2046-2051 (2009) - [j26]Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu:
Localized support vector regression for time series prediction. Neurocomputing 72(10-12): 2659-2669 (2009) - [j25]Irwin King, Christopher C. Yang:
Introduction. J. Intell. Inf. Syst. 33(1): 1 (2009) - [j24]Kaizhu Huang, Danian Zheng, Irwin King, Michael R. Lyu:
Arbitrary Norm Support Vector Machines. Neural Comput. 21(2): 560-582 (2009) - [j23]Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu:
A novel kernel-based maximum a posteriori classification method. Neural Networks 22(7): 977-987 (2009) - [j22]Haixuan Yang, Michael R. Lyu, Irwin King:
A Volume-Based Heat-Diffusion Classifier. IEEE Trans. Syst. Man Cybern. Part B 39(2): 417-430 (2009) - [c97]Tom Chao Zhou, Irwin King:
Automobile, car and BMW: horizontal and hierarchical approach in social tagging systems. CIKM-SWSM 2009: 25-32 - [c96]Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu:
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering. CIKM 2009: 767-776 - [c95]Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu:
A social recommendation framework based on multi-scale continuous conditional random fields. CIKM 2009: 1247-1256 - [c94]Zhenjiang Lin, Michael R. Lyu, Irwin King:
MatchSim: a novel neighbor-based similarity measure with maximum neighborhood matching. CIKM 2009: 1613-1616 - [c93]Hongbo Deng, Irwin King, Michael R. Lyu:
Enhancing expertise retrieval using community-aware strategies. CIKM 2009: 1733-1736 - [c92]Tom Chao Zhou, Hao Ma, Irwin King, Michael R. Lyu:
TagRec: Leveraging Tagging Wisdom for Recommendation. CSE (4) 2009: 194-199 - [c91]Man-Ching Yuen, Ling-Jyh Chen, Irwin King:
A Survey of Human Computation Systems. CSE (4) 2009: 723-728 - [c90]Kam Tong Chan, Irwin King, Man-Ching Yuen:
Mathematical Modeling of Social Games. CSE (4) 2009: 1205-1210 - [c89]Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, Irwin King:
Non-monotonic feature selection. ICML 2009: 1145-1152 - [c88]Haiqin Yang, Irwin King:
Ensemble Learning for Imbalanced E-commerce Transaction Anomaly Classification. ICONIP (1) 2009: 866-874 - [c87]Zibin Zheng, Hao Ma, Michael R. Lyu, Irwin King:
WSRec: A Collaborative Filtering Based Web Service Recommender System. ICWS 2009: 437-444 - [c86]Zenglin Xu, Rong Jin, Michael R. Lyu, Irwin King:
Discriminative Semi-Supervised Feature Selection via Manifold Regularization. IJCAI 2009: 1303-1308 - [c85]Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell:
Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data. IJCNN 2009: 1272-1277 - [c84]Irwin King, Jiexing Li, Kam Tong Chan:
A brief survey of computational approaches in Social Computing. IJCNN 2009: 1625-1632 - [c83]Hongbo Deng, Michael R. Lyu, Irwin King:
A generalized Co-HITS algorithm and its application to bipartite graphs. KDD 2009: 239-248 - [c82]Susanne Boll, Steven C. H. Hoi, Jiebo Luo, Rong Jin, Irwin King, Dong Xu:
First ACM SIGMM international workshop onsocial media (WSM'09). ACM Multimedia 2009: 1161-1162 - [c81]Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael R. Lyu, Zhirong Yang:
Adaptive Regularization for Transductive Support Vector Machine. NIPS 2009: 2125-2133 - [c80]Zhirong Yang, Irwin King, Zenglin Xu, Erkki Oja:
Heavy-Tailed Symmetric Stochastic Neighbor Embedding. NIPS 2009: 2169-2177 - [c79]Kam Tong Chan, Irwin King:
Let's Tango - Finding the Right Couple for Feature-Opinion Association in Sentiment Analysis. PAKDD 2009: 741-748 - [c78]Hao Ma, Michael R. Lyu, Irwin King:
Learning to recommend with trust and distrust relationships. RecSys 2009: 189-196 - [c77]Hao Ma, Irwin King, Michael R. Lyu:
Learning to recommend with social trust ensemble. SIGIR 2009: 203-210 - [c76]Hongbo Deng, Irwin King, Michael R. Lyu:
Entropy-biased models for query representation on the click graph. SIGIR 2009: 339-346 - [c75]Hongbo Deng, Michael R. Lyu, Irwin King:
Effective latent space graph-based re-ranking model with global consistency. WSDM 2009: 212-221 - [e7]Irwin King, Juan-Zi Li, Gui-Rong Xue, Jie Tang:
Proceedings of the 2nd ACM Workshop on Social Web Search and Mining, CIKM-SWSM 2009, Hong Kong, China, November 2, 2009. ACM 2009, ISBN 978-1-60558-806-3 [contents] - [e6]Susanne Boll, Steven C. H. Hoi, Jiebo Luo, Rong Jin, Irwin King, Dong Xu:
Proceedings of the first SIGMM workshop on Social media, WSM@MM 2009, Beijing, China, October 23, 2009. ACM 2009, ISBN 978-1-60558-759-2 [contents] - [e5]Irwin King, Ricardo Baeza-Yates:
Weaving Services and People on the World Wide Web, [features some of the cutting-edge research work that were presented at the Workshop Track of the 17th International World Wide Web Conference (WWW 2008) held at Beijing, China, from April 21-25, 2008]. Springer 2009, ISBN 978-3-642-00569-5 [contents] - 2008
- [j21]Irwin King, Yangmin Li:
Editorial. Int. J. Intell. Comput. Cybern. 1(4) (2008) - [j20]Irwin King, Jun Wang:
International Conference on Neural Information Processing (ICONIP 2006). Neurocomputing 71(16-18): 3051 (2008) - [j19]Xiang Peng, Irwin King:
Robust BMPM training based on second-order cone programming and its application in medical diagnosis. Neural Networks 21(2-3): 450-457 (2008) - [j18]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally. IEEE Trans. Neural Networks 19(2): 260-272 (2008) - [c74]Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King:
Mining social networks using heat diffusion processes for marketing candidates selection. CIKM 2008: 233-242 - [c73]Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu:
Learning latent semantic relations from clickthrough data for query suggestion. CIKM 2008: 709-718 - [c72]Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King:
SoRec: social recommendation using probabilistic matrix factorization. CIKM 2008: 931-940 - [c71]Zenglin Xu, Rong Jin, Kaizhu Huang, Michael R. Lyu, Irwin King:
Semi-supervised text categorization by active search. CIKM 2008: 1517-1518 - [c70]Hongbo Deng, Irwin King, Michael R. Lyu:
Formal Models for Expert Finding on DBLP Bibliography Data. ICDM 2008: 163-172 - [c69]Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu:
Semi-supervised Learning from General Unlabeled Data. ICDM 2008: 273-282 - [c68]Kaizhu Huang, Irwin King, Michael R. Lyu:
Direct Zero-Norm Optimization for Feature Selection. ICDM 2008: 845-850 - [c67]Haiqin Yang, Irwin King:
Sprinkled Latent Semantic Indexing for Text Classification with Background Knowledge. ICONIP (2) 2008: 53-60 - [c66]Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu:
Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. IJCNN 2008: 4014-4019 - [c65]Zenglin Xu, Rong Jin, Irwin King, Michael R. Lyu:
An Extended Level Method for Efficient Multiple Kernel Learning. NIPS 2008: 1825-1832 - [c64]Haixuan Yang, Irwin King, Michael R. Lyu:
Learning with Consistency between Inductive Functions and Kernels. NIPS 2008: 1849-1856 - [c63]Ling-Jyh Chen, Bo-Chun Wang, Kuan-Ta Chen, Irwin King, Jimmy Ho-Man Lee:
An Analytical Study of Puzzle Selection Strategies for the ESP Game. Web Intelligence 2008: 180-183 - [c62]Chien-Wei Lin, Kuan-Ta Chen, Ling-Jyh Chen, Irwin King, Jimmy Ho-Man Lee:
An Analytical Approach to Optimizing the Utility of ESP Games. Web Intelligence 2008: 184-187 - [c61]Wei Wei, Kam Tong Chan, Irwin King, Jimmy Ho-Man Lee:
RATE: A Review of Reviewers in a Manuscript Review Process. Web Intelligence 2008: 204-207 - 2007
- [j17]Zenglin Xu, Irwin King, Michael R. Lyu:
Feature Selection Based on Minimum Error minimax Probability Machine. Int. J. Pattern Recognit. Artif. Intell. 21(8): 1279-1292 (2007) - [j16]Haixuan Yang, Irwin King, Michael R. Lyu:
The generalized dependency degree between attributes. J. Assoc. Inf. Sci. Technol. 58(14): 2280-2294 (2007) - [c60]Daniel Chun-Ming Leung, Pak-Shing Au, Irwin King, Edward Hon-Hei Yau:
Remote augmented reality for multiple players over network. Advances in Computer Entertainment Technology 2007: 220-223 - [c59]Wei Wei, Irwin King, J. H. M. Lee:
Bibliographic Attributes Extraction with Layer-upon-Layer Tagging. ICDAR 2007: 804-808 - [c58]Zenglin Xu, Kaizhu Huang, Jianke Zhu, Irwin King, Michael R. Lyu:
Kernel Maximum a Posteriori Classification with Error Bound Analysis. ICONIP (1) 2007: 841-850 - [c57]Zenglin Xu, Jianke Zhu, Michael R. Lyu, Irwin King:
Maximum Margin based Semi-supervised Spectral Kernel Learning. IJCNN 2007: 418-423 - [c56]Xiang Peng, Irwin King:
Large Scale Imbalanced Classification with Biased Minimax Probability Machine. IJCNN 2007: 1685-1690 - [c55]Hongbo Deng, Jianke Zhu, Michael R. Lyu, Irwin King:
Two-stage Multi-class AdaBoost for Facial Expression Recognition. IJCNN 2007: 3005-3010 - [c54]Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael R. Lyu:
Efficient Convex Relaxation for Transductive Support Vector Machine. NIPS 2007: 1641-1648 - [c53]Hao Ma, Irwin King, Michael R. Lyu:
Effective missing data prediction for collaborative filtering. SIGIR 2007: 39-46 - [c52]Haixuan Yang, Irwin King, Michael R. Lyu:
DiffusionRank: a possible penicillin for web spamming. SIGIR 2007: 431-438 - [c51]Zhenjiang Lin, Michael R. Lyu, Irwin King:
Extending Link-based Algorithms for Similar Web Pages with Neighborhood Structure. Web Intelligence 2007: 263-266 - [c50]Xiang Peng, Irwin King:
Efficient training on biased minimax probability machine for imbalanced text classification. WWW 2007: 1153-1154 - [c49]Zenglin Xu, Irwin King, Michael R. Lyu:
Web page classification with heterogeneous data fusion. WWW 2007: 1171-1172 - [c48]Wei Wei, Jimmy Ho-Man Lee, Irwin King:
Measuring credibility of users in an e-learning environment. WWW 2007: 1279-1280 - 2006
- [j15]Kwong-Sak Leung, Irwin King, Y. B. Wong:
A probabilistic cooperative-competitive hierarchical model for global optimization. Appl. Math. Comput. 175(2): 1092-1124 (2006) - [j14]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Maximizing sensitivity in medical diagnosis using biased minimax probability Machine. IEEE Trans. Biomed. Eng. 53(5): 821-831 (2006) - [j13]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Imbalanced learning with a biased minimax probability machine. IEEE Trans. Syst. Man Cybern. Part B 36(4): 913-923 (2006) - [c47]Xiang Peng, Irwin King:
Imbalanced Learning in Relevance Feedback with Biased Minimax Probability Machine for Image Retrieval Tasks. ICONIP (1) 2006: 342-351 - [c46]Xiang Peng, Irwin King:
Biased Minimax Probability Machine Active Learning for Relevance Feedback in Content-Based Image Retrieval. IDEAL 2006: 953-960 - [c45]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Local Support Vector Regression for Financial Time Series Prediction. IJCNN 2006: 1622-1627 - [c44]Haixuan Yang, Irwin King, Michael R. Lyu:
Predictive Random Graph Ranking on the Web. IJCNN 2006: 1825-1832 - [c43]Zhenjiang Lin, Irwin King, Michael R. Lyu:
PageSim: A Novel Link-Based Similarity Measure for the World Wide Web. Web Intelligence 2006: 687-693 - [c42]Lo Ka Kan, Xiang Peng, Irwin King:
A user profile-based approach for personal information access: shaping your information portfolio. WWW 2006: 921-922 - [c41]Tak Pang Lau, Irwin King:
Bilingual web page and site readability assessment. WWW 2006: 993-994 - [c40]Zhenjiang Lin, Michael R. Lyu, Irwin King:
PageSim: a novel link-based measure of web page aimilarity. WWW 2006: 1019-1020 - [e4]Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang:
Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I. Lecture Notes in Computer Science 4232, Springer 2006, ISBN 3-540-46479-4 [contents] - [e3]Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang:
Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II. Lecture Notes in Computer Science 4233, Springer 2006, ISBN 3-540-46481-6 [contents] - [e2]Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang:
Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part III. Lecture Notes in Computer Science 4234, Springer 2006, ISBN 3-540-46484-0 [contents] - 2005
- [c39]Tak Pang Lau, Irwin King:
Two-Phase LMR-RC Tagging for Chinese Word Segmentation. SIGHAN@IJCNLP 2005 2005 - [c38]Shi Lu, Michael R. Lyu, Irwin King:
Semantic Video Summarization Using Mutual Reinforcement Principle and Shot Arrangement Patterns. MMM 2005: 60-67 - [c37]Wan Yeung Wong, Tak Pang Lau, Irwin King:
Information retrieval in P2P networks using genetic algorithm. WWW (Special interest tracks and posters) 2005: 922-923 - [c36]Haixuan Yang, Irwin King, Michael R. Lyu:
Predictive ranking: a novel page ranking approach by estimating the web structure. WWW (Special interest tracks and posters) 2005: 944-945 - 2004
- [j12]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan:
The Minimum Error Minimax Probability Machine. J. Mach. Learn. Res. 5: 1253-1286 (2004) - [j11]Huilin Xiong, M. N. S. Swamy, M. Omair Ahmad, Irwin King:
Branching competitive learning Network: A novel self-creating model. IEEE Trans. Neural Networks 15(2): 417-429 (2004) - [j10]Irwin King, Cheuk Hang Ng, Ka Cheung Sia:
Distributed content-based visual information retrieval system on peer-to-peer networks. ACM Trans. Inf. Syst. 22(3): 477-501 (2004) - [c35]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine. CVPR (2) 2004: 558-563 - [c34]Shi Lu, Irwin King, Michael R. Lyu:
Video summarization by video structure analysis and graph optimization. ICME 2004: 1959-1962 - [c33]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Learning large margin classifiers locally and globally. ICML 2004 - [c32]Chi-Hang Chan, Irwin King:
Using Biased Support Vector Machine to Improve Retrieval Result in Image Retrieval with Self-organizing Map. ICONIP 2004: 714-719 - [c31]Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu:
Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. ICONIP 2004: 1260-1265 - [c30]Steven Chu-Hong Hoi, Chi-Hang Chan, Kaizhu Huang, Michael R. Lyu, Irwin King:
Biased support vector machine for relevance feedback in image retrieval. IJCNN 2004: 3189-3194 - [c29]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan:
Biased Minimax Probability Machine for Medical Diagnosis. AI&M 2004 - [c28]Shi Lu, Michael R. Lyu, Irwin King:
Video summarization by spatial-temporal graph optimization. ISCAS (2) 2004: 197-200 - 2003
- [j9]Irwin King, Zhong Jin:
Integrated probability function and its application to content-based image retrieval by relevance feedback. Pattern Recognit. 36(9): 2177-2186 (2003) - [j8]Irwin King, Raúl Rojas, Werner Dubitzky:
Book Reviews. IEEE Trans. Neural Networks 14(4): 968-970 (2003) - [c27]Kim-Fung Jang, Ho-Man Tang, Michael R. Lyu, Irwin King:
A Face Processing System Based on Committee Machine: The Approach and Experimental Results. CAIP 2003: 614-622 - [c26]Kaizhu Huang, Irwin King, Michael R. Lyu:
Finite Mixture Model of Bounded Semi-naive Bayesian Networks Classifier. ICANN 2003: 115-122 - [c25]Ho-Man Tang, Michael R. Lyu, Irwin King:
Face recognition committee machine. ICASSP (2) 2003: 837-840 - [c24]Ho-Man Tang, Michael R. Lyu, Irwin King:
Face recognition committee machines: dynamic vs. static structures. ICIAP 2003: 121-126 - [c23]Ho-Man Tang, Michael R. Lyu, Irwin King:
Face recognition committee machine. ICME 2003: 425-428 - [e1]Irwin King, Tamás Máray:
Proceedings of the Twelfth International World Wide Web Conference - Posters, WWW 2003, Budapest, Hungary, May 20-24, 2003. 2003 [contents] - 2002
- [j7]Rezaul Alam Chowdhury, M. Kaykobad, Irwin King:
An efficient decoding technique for Huffman codes. Inf. Process. Lett. 81(6): 305-308 (2002) - [c22]Haiqin Yang, Laiwan Chan, Irwin King:
Support Vector Machine Regression for Volatile Stock Market Prediction. IDEAL 2002: 391-396 - 2001
- [j6]Lei Xu, Irwin King:
A PCA approach for fast retrieval of structural patterns in attributed graphs. IEEE Trans. Syst. Man Cybern. Part B 31(5): 812-817 (2001) - [c21]Chun Hung Cheng, Jian Tang, Ada Wai-Chee Fu, Irwin King:
Hierarchical Classification of Documents with Error Control. PAKDD 2001: 433-443 - 2000
- [j5]Lun Hsing Tung, Irwin King:
A Two-Stage Framework for Polygon Retrieval. Multim. Tools Appl. 11(2): 235-255 (2000) - [c20]Xuequn Li, Irwin King:
Regression Analysis for Rival Penalized Competitive Learning Binary Tree. IJCNN (6) 2000: 290-295 - [c19]Zhong Jin, Irwin King, Xuequn Li:
Content-Based Image Retrieval by Relevance Feedback. VISUAL 2000: 521-529 - [c18]Irwin King, Zhong Jin, David Yuk-Ming Chan:
Chinese Cursive Script Character Image Retrieval Based on an Integrated Probability Function. VISUAL 2000: 530-539
1990 – 1999
- 1999
- [j4]Donald A. Adjeroh, Moon-Chuen Lee, Irwin King:
A Distance Measure for Video Sequences. Comput. Vis. Image Underst. 75(1-2): 25-45 (1999) - [c17]Xiaoqi Li, Irwin King:
Gaussian mixture distance for information retrieval. IJCNN 1999: 2544-2549 - [c16]Irwin King, Tak-Kan Lau:
Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval. MLDM 1999: 116-130 - [c15]David Yuk-Ming Chan, Irwin King:
Genetic Algorithm for Weights Assignment in Dissimilarity Function for Trademark Retrieval. VISUAL 1999: 557-565 - 1998
- [j3]Siu-Hang Or, W. S. Luk, Kin-hong Wong, Irwin King:
An efficient iterative pose estimation algorithm. Image Vis. Comput. 16(5): 353-362 (1998) - [c14]Tak-Kan Lau, Irwin King:
Montage: An Image Database for the Fashion, Textile, and Clothing Industry in Hong Kong. ACCV (1) 1998: 410-417 - [c13]Siu-Hang Or, W. S. Luk, Kin-hong Wong, Irwin King:
An Efficient Iterative Pose Estimation Algorithm. ACCV (2) 1998: 559-566 - [c12]Xuequn Li, Irwin King:
Noise Removal Based on Classification of Wavelet Coefficients Using Counterpropagation Neural Networks. ICONIP 1998: 343-346 - [c11]F. Y. Duan, Irwin King, Lai-Wan Chan, Lei Xu:
Intra-block algorithm for digital watermarking. ICPR 1998: 1589-1591 - [c10]Donald A. Adjeroh, Moon-Chuen Lee, Irwin King:
A Distance Measure for Video Sequence Similarity Matching. IW-MMDBMS 1998: 72-79 - [c9]Donald A. Adjeroh, Irwin King, Moon-Chuen Lee:
Video Sequence Similarity Matching. Multimedia Information Analysis and Retrieval 1998: 80-95 - [c8]F. Y. Duan, Irwin King, Lai-Wan Chan, Lei Xu:
Intra-Block Max-Min Algorithm for Embedding Robust Digital Watermark into Images. Multimedia Information Analysis and Retrieval 1998: 255-264 - [c7]Kwong-Sak Leung, T. J. Wong, Irwin King:
Probabilistic cooperative-competitive hierarchical modeling as a genetic operator in global optimization. SMC 1998: 3959-3964 - [p1]Lun Hsing Tung, Irwin King, Ping Fu Fung, Wing-Sze Lee:
Two-Stage Polygon Representation for Efficient Shape Retrieval in Image Databases. Image Databases and Multi-Media Search 1998: 209-220 - 1997
- [c6]Lun Hsing Tung, Irwin King:
A Two-Stage Framework for Polygon Retrieval Using Minimum Circular Error Bound. ICIAP (1) 1997: 567-574 - [c5]Irwin King, Tak-Kan Lau:
Competitive Learning Clustering for Information Retrieval in Image Databases. ICONIP (2) 1997: 906-909 - 1996
- [c4]Mary Y. Y. Leung, Hung Yen Hui, Irwin King:
Facial expression synthesis by radial basis function network and image warping. ICNN 1996: 1400-1405 - [c3]Horace Wai-kit Chan, Irwin King, John C. S. Lui:
Performance analysis of a new updating rule for TD(λ) learning in feedforward networks for position evaluation in Go game. ICNN 1996: 1716-1720 - [c2]Pina-Fu Fung, Wing-Sze Lee, Irwin King:
Randomized generalized Hough transform for 2-D gray scale object detection. ICPR 1996: 511-515 - 1995
- [j2]Irwin King:
Report on the Computer Strategy-Game Programming Workshop. J. Int. Comput. Games Assoc. 18(2): 113-115 (1995) - [c1]Bailing Zhang, Qin Zhou, Irwin King, Lei Xu:
Least Mean Square Error Reconstruction Learning in Recurrent Network. ICNN 1995: 3009-3014
1980 – 1989
- 1988
- [j1]DeLiang Wang, Irwin King:
Three neural models which process temporal information. Neural Networks 1(Supplement-1): 227 (1988)
Coauthor Index
Steven C. H. Hoi
aka: Steven Chu-Hong Hoi
aka: Steven Chu-Hong Hoi
Michael R. Lyu
aka: Michael Rung-Tsong Lyu
aka: Michael Rung-Tsong Lyu
[c301] [j80] [j78] [j77] [j75] [c281] [c271] [c270] [i91] [i89] [j74] [j68] [c264] [c263] [c261] [c260] [c259] [i73] [i69] [i68] [i67] [i58] [j65] [c256] [c255] [c254] [c253] [c252] [c250] [c249] [c248] [c247] [c246] [c245] [c244] [c243] [c242] [c236] [c235] [c231] [i55] [i54] [i53] [i51] [i50] [i49] [i47] [i46] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i32] [j64] [c229] [c228] [c227] [c225] [c224] [c222] [c221] [c220] [c219] [c218] [c216] [c214] [c213] [c212] [i31] [i30] [i28] [i27] [i26] [i24] [i22] [i21] [i20] [i19] [i18] [i17] [b1] [j63] [j62] [j61] [c209] [c208] [c207] [c205] [c204] [c203] [c202] [c201] [c200] [c199] [c197] [r2] [i15] [i14] [i13] [i12] [i11] [i10] [c196] [c195] [c193] [c192] [c191] [c190] [c189] [c186] [c185] [c184] [c183] [i9] [i8] [i7] [i6] [j57] [c179] [c174] [c173] [c172] [c171] [i5] [i4] [i3] [j55] [j54] [j53] [j52] [j50] [c169] [c168] [c164] [c163] [c161] [c160] [c156] [c154] [c153] [c152] [c151] [r1] [j46] [j45] [c149] [c148] [c147] [c146] [c145] [c143] [j43] [j42] [j41] [j40] [c142] [c141] [c140] [c139] [c137] [c136] [c135] [c134] [c133] [c132] [c131] [i1] [j35] [j34] [j33] [j32] [c130] [c129] [c128] [c127] [c126] [c121] [c120] [c118] [c117] [j30] [j29] [c115] [c114] [c113] [c111] [c109] [c108] [c104] [c103] [c98] [j26] [j24] [j23] [j22] [c96] [c95] [c94] [c93] [c92] [c89] [c87] [c86] [c85] [c83] [c81] [c78] [c77] [c76] [c75] [j18] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c66] [c65] [c64] [j17] [j16] [c58] [c57] [c55] [c54] [c53] [c52] [c51] [c49] [j14] [j13] [c45] [c44] [c43] [c40] [c38] [c36] [j12] [c35] [c34] [c33] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23]
Helen M. Meng
aka: Helen Meng
aka: Helen Meng
[i149] [j92] [j90] [c327] [c325] [c316] [c313] [c312] [c311] [i137] [i119] [j84] [j82] [c302] [c296] [c292] [c284] [c283] [i114] [i97] [c276] [i86] [c259] [i72] [i70] [i67] [i51] [c209] [c189] [i3] [j52] [c156] [c143] [j34] [j29] [c115] [c109] [c108] [j23] [c89] [c86] [c85] [c81] [c80] [c71] [c69] [c65] [j17] [c58] [c57] [c54] [c49]
[j68] [j65] [e25] [e24] [e23] [e22] [e21] [i37] [i36] [c213] [i28] [j61] [j57] [c179] [c172] [c171] [j53] [j52] [j50] [c168] [c163] [c160] [c156] [j46] [c149] [c146] [c142] [c135] [c133] [i1] [j34] [c128] [c111] [c109] [c108] [c104] [j26] [c88] [j18] [c67] [c66] [j14] [j13] [c45] [j12] [c35] [c33] [c31] [c29] [c22]
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