Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDIrwin King
Person information
- affiliation: Chinese University of Hong Kong
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 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- [j83]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) - [j82]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) - [c280]Mirko Polato, Roberto Esposito, Walter Riviera, Zenglin Xu, Irwin King:
1st Workshop on Federated Learning Technologies. WWW (Companion Volume) 2023: 1150 - [c279]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 - [c278]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 - [i104]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) - [i103]Conghao Xiong, Hao Chen, Joseph 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) - [i102]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) - [i101]Conghao Xiong, Yi Lin, Hao Chen, Joseph Sung, Irwin King:
Knowledge Transfer via Multi-Head Feature Adaptation for Whole Slide Image Classification. CoRR abs/2303.05780 (2023) - [i100]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) - [i99]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) - [i98]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) - [i97]Xinyu Fu, Irwin King:
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks. CoRR abs/2305.09729 (2023) - [i96]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) - [i95]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) - 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) - [c277]Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu:
Text Revision By On-the-Fly Representation Optimization. AAAI 2022: 10956-10964 - [c276]Zixing Song, Irwin King:
Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization. AAAI 2022: 11340-11348 - [c275]Minda Hu, Muzhi Li, Yasheng Wang, Irwin King:
Momentum Contrastive Pre-training for Question Answering. EMNLP 2022: 4324-4330 - [c274]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 - [c273]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 - [c272]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 - [c271]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 - [c270]Zixing Song, Yifei Zhang, Irwin King:
Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification. KDD 2022: 1656-1665 - [c269]Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King:
HICF: Hyperbolic Informative Collaborative Filtering. KDD 2022: 2212-2221 - [c268]Yifei Zhang, Hao Zhu, Zixing Song, Piotr Koniusz, Irwin King:
COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning. KDD 2022: 2524-2534 - [c267]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 - [c266]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 - [c265]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 - [c264]Yifei Zhang, Hao Zhu, Ziqiao Meng, Piotr Koniusz, Irwin King:
Graph-adaptive Rectified Linear Unit for Graph Neural Networks. WWW 2022: 1331-1339 - [c263]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) - [c262]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 - [c261]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 - [c260]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 - [c259]Zixing Song, Ziqiao Meng, Yifei Zhang, Irwin King:
Semi-supervised Multi-label Learning for Graph-structured Data. CIKM 2021: 1723-1733 - [c258]Weibin Wu, Yuxin Su, Michael R. Lyu, Irwin King:
Improving the Transferability of Adversarial Samples With Adversarial Transformations. CVPR 2021: 9024-9033 - [c257]Chung-Yiu Yau, Haoli Bai, Irwin King, Michael R. Lyu:
DAP-BERT: Differentiable Architecture Pruning of BERT. ICONIP (1) 2021: 367-378 - [c256]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 - [c255]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 - [c254]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) - [c253]Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu:
Few Shot Network Compression via Cross Distillation. AAAI 2020: 3203-3210 - [c252]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network. AAAI 2020: 8002-8009 - [c251]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 - [c250]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 - [c249]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 - [c248]Wang Chen, Hou Pong Chan, Piji Li, Irwin King:
Exclusive Hierarchical Decoding for Deep Keyphrase Generation. ACL 2020: 1095-1105 - [c247]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 - [c246]Pengpeng Liu, Irwin King, Michael R. Lyu, Jia Xu:
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching. CVPR 2020: 6647-6656 - [c245]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 - [c244]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 - [c243]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 - [c242]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 - [c241]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 - [c240]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 - [c239]Wenxiang Jiao, Michael R. Lyu, Irwin King:
Exploiting Unsupervised Data for Emotion Recognition in Conversations. EMNLP (Findings) 2020: 4839-4846 - [c238]Menglin Yang, Ziqiao Meng, Irwin King:
FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding. ICDM 2020: 731-740 - [c237]Yankai Chen, Yaozu Wu, Shicheng Ma, Irwin King:
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data. ICONIP (5) 2020: 21-29 - [c236]Chandni Saxena, Tianyu Liu, Irwin King:
A Survey of Graph Curvature and Embedding in Non-Euclidean Spaces. ICONIP (2) 2020: 127-139 - [c235]Yaoman Li, Irwin King:
AutoGraph: Automated Graph Neural Network. ICONIP (2) 2020: 189-201 - [c234]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 - [c233]Jingjing Li, Zichao Li, Lili Mou, Xin Jiang, Michael R. Lyu, Irwin King:
Unsupervised Text Generation by Learning from Search. NeurIPS 2020 - [c232]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 - [c231]Hou Pong Chan,