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ORCIDIvor W. Tsang
Ivor Wai-Hung Tsang
Person information
- affiliation: University of Technology Sydney, Australia
- affiliation (former): Nanyang Technological University, Singapore
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2020 – today
- 2023
[j123]Yiming Xu
, Lin Chen, Lixin Duan, Ivor W. Tsang, Jiebo Luo:
Open Set Domain Adaptation With Soft Unknown-Class Rejection. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1601-1612 (2023)- [j122]Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan, Jingchao Su:
Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation. ACM Trans. Inf. Syst. 41(1): 14:1-14:31 (2023) - [i96]Yuhao Liu, Qing Guo, Lan Fu, Zhanghan Ke, Ke Xu, Wei Feng, Ivor W. Tsang, Rynson W. H. Lau:
Structure-Informed Shadow Removal Networks. CoRR abs/2301.03182 (2023) - [i95]Xiaoguang Li, Qing Guo, Rabab Abdelfattah, Di Lin, Wei Feng, Ivor W. Tsang, Song Wang:
Leveraging Inpainting for Single-Image Shadow Removal. CoRR abs/2302.05361 (2023) - [i94]Jiangchao Yao, Bo Han, Zhihan Zhou, Ya Zhang, Ivor W. Tsang:
Latent Class-Conditional Noise Model. CoRR abs/2302.09595 (2023) - [i93]Bohao Qu, Xiaofeng Cao, Jielong Yang, Hechang Chen, Yi Chang, Ivor W. Tsang, Yew-Soon Ong:
Policy Dispersion in Non-Markovian Environment. CoRR abs/2302.14509 (2023) - [i92]Cheng Chen, Yueming Lyu, Ivor W. Tsang:
Adversary-Aware Partial label learning with Label distillation. CoRR abs/2304.00498 (2023) - [i91]Kim Yong Tan, Yueming Lyu, Yew Soon Ong, Ivor W. Tsang:
Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search. CoRR abs/2304.02350 (2023) - [i90]Yaxin Shi, Xiaowei Zhou, Ping Liu, Ivor W. Tsang:
UTSGAN: Unseen Transition Suss GAN for Transition-Aware Image-to-image Translation. CoRR abs/2304.11955 (2023) - [i89]Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Yulei Sui, Ivor W. Tsang:
Earning Extra Performance from Restrictive Feedbacks. CoRR abs/2304.14831 (2023) - [i88]Xiaoguang Li, Qing Guo, Pingping Cai, Wei Feng, Ivor W. Tsang, Song Wang:
Learning Restoration is Not Enough: Transfering Identical Mapping for Single-Image Shadow Removal. CoRR abs/2305.10640 (2023) - [i87]Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang:
Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting. CoRR abs/2305.13036 (2023) - 2022
- [j121]Bowen Xing, Ivor W. Tsang:
Out of Context: A New Clue for Context Modeling of Aspect-based Sentiment Analysis. J. Artif. Intell. Res. 74: 627-659 (2022) - [j120]Xi Peng, Yunfan Li, Ivor W. Tsang, Hongyuan Zhu, Jiancheng Lv, Joey Tianyi Zhou:
XAI Beyond Classification: Interpretable Neural Clustering. J. Mach. Learn. Res. 23: 6:1-6:28 (2022) - [j119]Yuangang Pan, Ivor W. Tsang, Weijie Chen, Gang Niu, Masashi Sugiyama:
Fast and Robust Rank Aggregation against Model Misspecification. J. Mach. Learn. Res. 23: 23:1-23:35 (2022) - [j118]Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
Multiple partitions alignment via spectral rotation. Mach. Learn. 111(3): 1049-1072 (2022) - [j117]Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang:
Learning on Attribute-Missing Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 740-757 (2022) - [j116]Yang Zhang, Ivor W. Tsang, Yawei Luo, Changhui Hu, Xiaobo Lu, Xin Yu:
Recursive Copy and Paste GAN: Face Hallucination From Shaded Thumbnails. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4321-4338 (2022) - [j115]Xiaofeng Cao, Ivor W. Tsang:
Distribution Disagreement via Lorentzian Focal Representation. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6872-6889 (2022) - [j114]Weiwei Liu, Haobo Wang, Xiaobo Shen, Ivor W. Tsang:
The Emerging Trends of Multi-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7955-7974 (2022) - [j113]Shudong Huang, Wei Shi, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv:
Efficient federated multi-view learning. Pattern Recognit. 131: 108817 (2022) - [j112]Xiaofeng Cao, Ivor W. Tsang, Jianliang Xu:
Cold-Start Active Sampling Via γ-Tube. IEEE Trans. Cybern. 52(7): 6034-6045 (2022) - [j111]Bowen Xing, Ivor W. Tsang:
Understand Me, if You Refer to Aspect Knowledge: Knowledge-Aware Gated Recurrent Memory Network. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1092-1102 (2022) - [j110]Liang Feng, Yuxiao Huang, Ivor W. Tsang, Abhishek Gupta, Ke Tang, Kay Chen Tan, Yew-Soon Ong:
Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation. IEEE Trans. Intell. Transp. Syst. 23(2): 952-965 (2022) - [j109]Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li:
Deep Pairwise Hashing for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 34(7): 3169-3181 (2022) - [j108]Huiting Hong, Xin Li, Yuangang Pan, Ivor W. Tsang:
Domain-Adversarial Network Alignment. IEEE Trans. Knowl. Data Eng. 34(7): 3211-3224 (2022) - [j107]Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 34(12): 5869-5883 (2022) - [j106]Xiaobo Shen, Guohua Dong, Yuhui Zheng, Long Lan, Ivor W. Tsang, Quan-Sen Sun:
Deep Co-Image-Label Hashing for Multi-Label Image Retrieval. IEEE Trans. Multim. 24: 1116-1126 (2022) - [j105]Xiaofeng Cao, Ivor W. Tsang:
Shattering Distribution for Active Learning. IEEE Trans. Neural Networks Learn. Syst. 33(1): 215-228 (2022) - [j104]Jing Chai, Ivor W. Tsang:
Learning With Label Proportions by Incorporating Unmarked Data. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5898-5912 (2022) - [c125]Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu:
Multi-View Clustering on Topological Manifold. AAAI 2022: 6944-6951 - [c124]Bowen Xing, Ivor W. Tsang:
DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition. ACL (Findings) 2022: 3611-3621 - [c123]Bowen Xing, Ivor W. Tsang:
Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs. EMNLP 2022: 159-169 - [c122]Bowen Xing, Ivor W. Tsang:
Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Filling. EMNLP 2022: 3964-3975 - [c121]Yan Zhang, Changyu Li, Ivor W. Tsang, Hui Xu, Lixin Duan, Hongzhi Yin, Wen Li, Jie Shao:
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations. ICDE 2022: 2942-2955 - [c120]Bowen Xing, Ivor W. Tsang:
Neural Subgraph Explorer: Reducing Noisy Information via Target-oriented Syntax Graph Pruning. IJCAI 2022: 4425-4431 - [c119]Shudong Huang, Yixi Liu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv:
Learning Smooth Representation for Multi-view Subspace Clustering. ACM Multimedia 2022: 3421-3429 - [c118]Xiaowei Zhou, Jie Yin, Ivor W. Tsang:
Edge but not Least: Cross-View Graph Pooling. ECML/PKDD (2) 2022: 344-359 - [i86]Bowen Xing, Ivor W. Tsang:
DigNet: Digging Clues from Local-Global Interactive Graph for Aspect-level Sentiment Classification. CoRR abs/2201.00989 (2022) - [i85]Bowen Xing, Ivor W. Tsang:
DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition. CoRR abs/2203.03856 (2022) - [i84]Yan Zhang, Changyu Li, Ivor W. Tsang, Hui Xu, Lixin Duan, Hongzhi Yin, Wen Li, Jie Shao:
Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations. CoRR abs/2204.00327 (2022) - [i83]Bowen Xing, Ivor W. Tsang:
Neural Subgraph Explorer: Reducing Noisy Information via Target-Oriented Syntax Graph Pruning. CoRR abs/2205.10970 (2022) - [i82]Xiaowei Zhou, Ivor W. Tsang, Jie Yin:
Latent Boundary-guided Adversarial Training. CoRR abs/2206.03717 (2022) - [i81]Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang:
Data-Efficient Learning via Minimizing Hyperspherical Energy. CoRR abs/2206.15204 (2022) - [i80]Xiaofeng Cao, Yaming Guo, Tieru Wu, Ivor W. Tsang:
When an Active Learner Meets a Black-box Teacher. CoRR abs/2206.15205 (2022) - [i79]Xiaofeng Cao, Weixin Bu, Shengjun Huang, Ying-Peng Tang, Yaming Guo, Yi Chang, Ivor W. Tsang:
A Survey of Learning on Small Data. CoRR abs/2207.14443 (2022) - [i78]Bowen Xing, Ivor W. Tsang:
Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Filling. CoRR abs/2210.10369 (2022) - [i77]Bowen Xing, Ivor W. Tsang:
Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs. CoRR abs/2210.10375 (2022) - [i76]Chen Zhang, Xiaofeng Cao, Yi Chang, Ivor W. Tsang:
One-shot Machine Teaching: Cost Very Few Examples to Converge Faster. CoRR abs/2212.06416 (2022) - [i75]Peiyao Zhao, Yuangang Pan, Xin Li, Xu Chen, Ivor W. Tsang, Lejian Liao:
Coarse-to-Fine Contrastive Learning on Graphs. CoRR abs/2212.06423 (2022) - 2021
- [j103]Yuangang Pan, Ivor W. Tsang, Yueming Lyu, Avinash Kumar Singh, Chin-Teng Lin:
Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation. Neural Comput. 33(6): 1616-1655 (2021) - [j102]Xiaofeng Xu, Ivor W. Tsang, Chuancai Liu:
Complementary Attributes: A New Clue to Zero-Shot Learning. IEEE Trans. Cybern. 51(3): 1519-1530 (2021) - [j101]Yang Zhang, Ivor W. Tsang, Jun Li, Ping Liu, Xiaobo Lu, Xin Yu:
Face Hallucination With Finishing Touches. IEEE Trans. Image Process. 30: 1728-1743 (2021) - [j100]Jinliang Deng, Xiusi Chen, Zipei Fan, Renhe Jiang, Xuan Song, Ivor W. Tsang:
The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting. ACM Trans. Knowl. Discov. Data 15(6): 103:1-103:25 (2021) - [j99]Bo Han, Ivor W. Tsang, Xiaokui Xiao, Ling Chen, Sai-Fu Fung, Celina Ping Yu:
Privacy-Preserving Stochastic Gradual Learning. IEEE Trans. Knowl. Data Eng. 33(8): 3129-3140 (2021) - [c117]Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang:
ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting. KDD 2021: 269-278 - [c116]Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu:
CDD: Multi-view Subspace Clustering via Cross-view Diversity Detection. ACM Multimedia 2021: 2308-2316 - [c115]Xiaowei Zhou, Jie Yin, Ivor W. Tsang, Chen Wang:
Human-Understandable Decision Making for Visual Recognition. PAKDD (3) 2021: 168-180 - [c114]Yueming Lyu, Ivor W. Tsang:
Black-Box Optimizer with Stochastic Implicit Natural Gradient. ECML/PKDD (3) 2021: 217-232 - [e1]Vineeth N. Balasubramanian, Ivor W. Tsang:
Asian Conference on Machine Learning, ACML 2021, 17-19 November 2021, Virtual Event. Proceedings of Machine Learning Research 157, PMLR 2021 [contents] - [i74]Xiaowei Zhou, Jie Yin, Ivor W. Tsang, Chen Wang:
Human-Understandable Decision Making for Visual Recognition. CoRR abs/2103.03429 (2021) - [i73]Yaxin Shi, Xiaowei Zhou, Ping Liu, Ivor W. Tsang:
Generative Transition Mechanism to Image-to-Image Translation via Encoded Transformation. CoRR abs/2103.05193 (2021) - [i72]Xiaofeng Cao, Ivor W. Tsang:
Bayesian Active Learning by Disagreements: A Geometric Perspective. CoRR abs/2105.02543 (2021) - [i71]Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou:
Contrastive Conditional Transport for Representation Learning. CoRR abs/2105.03746 (2021) - [i70]Xiaofeng Cao, Ivor W. Tsang:
Distribution Matching for Machine Teaching. CoRR abs/2105.13809 (2021) - [i69]Yueming Lyu, Ivor W. Tsang:
Neural Optimization Kernel: Towards Robust Deep Learning. CoRR abs/2106.06097 (2021) - [i68]Bowen Xing, Ivor W. Tsang:
Out of Context: A New Clue for Context Modeling of Aspect-based Sentiment Analysis. CoRR abs/2106.10816 (2021) - [i67]Boyuan Zheng, Sunny Verma, Jianlong Zhou, Ivor W. Tsang, Fang Chen:
Imitation Learning: Progress, Taxonomies and Opportunities. CoRR abs/2106.12177 (2021) - [i66]Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang:
Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network. CoRR abs/2107.00894 (2021) - [i65]Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao:
Differential-Critic GAN: Generating What You Want by a Cue of Preferences. CoRR abs/2107.06700 (2021) - [i64]Bowen Xing, Ivor W. Tsang:
Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Network. CoRR abs/2108.02352 (2021) - [i63]Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang:
A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting. CoRR abs/2109.01657 (2021) - [i62]Xiaowei Zhou, Jie Yin, Ivor W. Tsang:
Edge but not Least: Cross-View Graph Pooling. CoRR abs/2109.11796 (2021) - [i61]Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao:
TRIP: Refining Image-to-Image Translation via Rival Preferences. CoRR abs/2111.13411 (2021) - [i60]Jing Li, Yuangang Pan, Ivor W. Tsang:
Taming Overconfident Prediction on Unlabeled Data from Hindsight. CoRR abs/2112.08200 (2021) - 2020
- [j98]Yan Zhang, Ivor W. Tsang, Lixin Duan:
Collaborative Generative Hashing for Marketing and Fast Cold-Start Recommendation. IEEE Intell. Syst. 35(5): 84-95 (2020) - [j97]Shudong Huang, Zenglin Xu, Ivor W. Tsang, Zhao Kang:
Auto-weighted multi-view co-clustering with bipartite graphs. Inf. Sci. 512: 18-30 (2020) - [j96]Xiaofeng Xu, Ivor W. Tsang, Chuancai Liu:
Improving Generalization via Attribute Selection on Out-of-the-Box Data. Neural Comput. 32(2): 485-514 (2020) - [j95]Yuangang Pan, Ivor W. Tsang, Avinash Kumar Singh, Chin-Teng Lin, Masashi Sugiyama:
Stochastic Multichannel Ranking with Brain Dynamics Preferences. Neural Comput. 32(8): 1499-1530 (2020) - [j94]Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang:
Multiview Alignment and Generation in CCA via Consistent Latent Encoding. Neural Comput. 32(10): 1936-1979 (2020) - [j93]Biswajeet Pradhan, Husam Abdulrasool H. Al-Najjar, Maher Ibrahim Sameen, Ivor W. Tsang, Abdullah M. Alamri:
Unseen Land Cover Classification from High-Resolution Orthophotos Using Integration of Zero-Shot Learning and Convolutional Neural Networks. Remote. Sens. 12(10): 1676 (2020) - [j92]Yanxin Zhang, Yulei Sui, Shirui Pan, Zheng Zheng, Baodi Ning, Ivor W. Tsang, Wanlei Zhou:
Familial Clustering for Weakly-Labeled Android Malware Using Hybrid Representation Learning. IEEE Trans. Inf. Forensics Secur. 15: 3401-3414 (2020) - [j91]Jing Li, Yuangang Pan, Yulei Sui, Ivor W. Tsang:
Secure Metric Learning via Differential Pairwise Privacy. IEEE Trans. Inf. Forensics Secur. 15: 3640-3652 (2020) - [j90]Fanhua Shang, Kaiwen Zhou, Hongying Liu, James Cheng, Ivor W. Tsang, Lijun Zhang, Dacheng Tao, Licheng Jiao:
VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning. IEEE Trans. Knowl. Data Eng. 32(1): 188-202 (2020) - [j89]Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Qinfeng Shi, Chengqi Zhang:
Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study. IEEE Trans. Knowl. Data Eng. 32(2): 288-301 (2020) - [j88]Weiwei Liu, Xiaobo Shen, Yew-Soon Ong, Ivor W. Tsang, Chen Gong, Vladimir Pavlovic:
Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2236-2239 (2020) - [j87]Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen:
Survey on Multi-Output Learning. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2409-2429 (2020) - [j86]Jing Chai, Ivor W. Tsang, Weijie Chen:
Large Margin Partial Label Machine. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2594-2608 (2020) - [c113]Yanxin Zhang, Guanping Xiao, Zheng Zheng, Tianqing Zhu, Ivor W. Tsang, Yulei Sui:
An Empirical Study of Code Deobfuscations on Detecting Obfuscated Android Piggybacked Apps. APSEC 2020: 41-50 - [c112]Yang Zhang, Ivor W. Tsang, Yawei Luo, Chang-Hui Hu, Xiaobo Lu, Xin Yu:
Copy and Paste GAN: Face Hallucination From Shaded Thumbnails. CVPR 2020: 7353-7362 - [c111]Mingjie Li, Ying Zhang, Yifang Sun, Wei Wang, Ivor W. Tsang, Xuemin Lin:
I/O Efficient Approximate Nearest Neighbour Search based on Learned Functions. ICDE 2020: 289-300 - [c110]Yueming Lyu, Ivor W. Tsang:
Curriculum Loss: Robust Learning and Generalization against Label Corruption. ICLR 2020 - [c109]Bo Han, Gang Niu, Xingrui Yu, Quanming Yao, Miao Xu, Ivor W. Tsang, Masashi Sugiyama:
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust. ICML 2020: 4006-4016 - [c108]Xingrui Yu, Yueming Lyu, Ivor W. Tsang:
Intrinsic Reward Driven Imitation Learning via Generative Model. ICML 2020: 10925-10935 - [c107]Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang:
Graph Cross Networks with Vertex Infomax Pooling. NeurIPS 2020 - [c106]Yueming Lyu, Yuan Yuan, Ivor W. Tsang:
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo. NeurIPS 2020 - [i59]Zhuanghua Liu, Ivor W. Tsang:
Towards Sharper First-Order Adversary with Quantized Gradients. CoRR abs/2002.02372 (2020) - [i58]Yang Zhang, Ivor W. Tsang, Jun Li, Ping Liu, Xiaobo Lu, Xin Yu:
Face Hallucination with Finishing Touches. CoRR abs/2002.03308 (2020) - [i57]Yang Zhang, Ivor W. Tsang, Yawei Luo, Changhui Hu, Xiaobo Lu, Xin Yu:
Copy and Paste GAN: Face Hallucination from Shaded Thumbnails. CoRR abs/2002.10650 (2020) - [i56]Jing Li, Yuangang Pan, Yulei Sui, Ivor W. Tsang:
Secure Metric Learning via Differential Pairwise Privacy. CoRR abs/2003.13413 (2020) - [i55]Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang:
Multi-view Alignment and Generation in CCA via Consistent Latent Encoding. CoRR abs/2005.11716 (2020) - [i54]Xingrui Yu, Yueming Lyu, Ivor W. Tsang:
Intrinsic Reward Driven Imitation Learning via Generative Model. CoRR abs/2006.15061 (2020) - [i53]Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan:
Learning Robust Node Representations on Graphs. CoRR abs/2008.11416 (2020) - [i52]Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan, Jingchao Su:
Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation. CoRR abs/2009.06884 (2020) - [i51]Hao Zhang, Joey Tianyi Zhou, Tianying Wang, Ivor W. Tsang, Rick Siow Mong Goh:
Deep N-ary Error Correcting Output Codes. CoRR abs/2009.10465 (2020) - [i50]Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang:
Graph Cross Networks with Vertex Infomax Pooling. CoRR abs/2010.01804 (2020) - [i49]Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li:
Deep Pairwise Hashing for Cold-start Recommendation. CoRR abs/2011.00944 (2020) - [i48]Yan Zhang, Ivor W. Tsang, Lixin Duan:
Collaborative Generative Hashing for Marketing and Fast Cold-start Recommendation. CoRR abs/2011.00953 (2020) - [i47]Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang:
Learning on Attribute-Missing Graphs. CoRR abs/2011.01623 (2020) - [i46]Bo Han, Quanming Yao, Tongliang Liu, Gang Niu, Ivor W. Tsang, James T. Kwok, Masashi Sugiyama:
A Survey of Label-noise Representation Learning: Past, Present and Future. CoRR abs/2011.04406 (2020) - [i45]Yueming Lyu, Yuan Yuan, Ivor W. Tsang:
Subgroup-based Rank-1 Lattice Quasi-Monte Carlo. CoRR abs/2011.06446 (2020) - [i44]Weiwei Liu, Xiaobo Shen, Haobo Wang, Ivor W. Tsang:
The Emerging Trends of Multi-Label Learning. CoRR abs/2011.11197 (2020)
2010 – 2019
- 2019
- [j85]Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang:
A deep learning framework for Hybrid Heterogeneous Transfer Learning. Artif. Intell. 275: 310-328 (2019) - [j84]Donna Xu, Ivor W. Tsang, Eng K. Chew, Cosimo Siclari, Varun Kaul:
A Data-Analytics Approach for Enterprise Resilience. IEEE Intell. Syst. 34(3): 6-18 (2019) - [j83]Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, Mingkui Tan:
Multi-class Heterogeneous Domain Adaptation. J. Mach. Learn. Res. 20: 57:1-57:31 (2019) - [j82]Joey Tianyi Zhou, Ivor W. Tsang, Shen-Shyang Ho, Klaus-Robert Müller:
N-ary decomposition for multi-class classification. Mach. Learn. 108(5): 809-830 (2019) - [j81]Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama:
Millionaire: a hint-guided approach for crowdsourcing. Mach. Learn. 108(5): 831-858 (2019) - [j80]Weiwei Liu, Donna Xu, Ivor W. Tsang, Wenjie Zhang:
Metric Learning for Multi-Output Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 408-422 (2019) - [j79]Shudong Huang, Zhao Kang, Ivor W. Tsang, Zenglin Xu:
Auto-weighted multi-view clustering via kernelized graph learning. Pattern Recognit. 88: 174-184 (2019) - [j78]Chao Ma, Ivor W. Tsang, Fumin Shen, Chuancai Liu:
Error Correcting Input and Output Hashing. IEEE Trans. Cybern. 49(3): 781-791 (2019) - [j77]Shaukat R. Abidi, Massimo Piccardi, Ivor W. Tsang, Mary-Anne Williams:
Well-M3N: A Maximum-Margin Approach to Unsupervised Structured Prediction. IEEE Trans. Emerg. Top. Comput. Intell. 3(6): 427-439 (2019) - [j76]