Ivor W. Tsang - RankMe

516 papers A* 105A 14B 7C 5Misc 1Journal 353Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancing Analytic Class-Incremental Learning through Vision-Language Calibration. CoRR Binyu Zhao, Wei Zhang, Xingrui Yu, Zhaonian Zou, Ivor W. Tsang
2026	J	`jnl`	Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation. ACM Comput. Surv. Xiaofeng Cao, Mingwei Xu, Xin Yu, Jiangchao Yao, Wei Ye, Sheng-Jun Huang, Min-Ling Zhang, Ivor W. Tsang, Yew-Soon Ong, James T. Kwok, Heng Tao Shen
2026	J	`jnl`	Auto-Clustering with Continuous Distribution Estimation on Centroids. Mach. Learn. Yuangang Pan, Yinghua Yao, Atsushi Nitanda, Joey Tianyi Zhou, Ivor W. Tsang
2026	J	`jnl`	CamoVid60K: A Large-Scale Video Dataset for Moving Camouflaged Animals Understanding. Int. J. Comput. Vis. Tuan-Anh Vu, Ziqiang Zheng, Chengyang Song, Qing Guo, Ivor W. Tsang, Sai-Kit Yeung
2026	J	`jnl`	Catch Me If You Can Describe Me: Open-Vocabulary Camouflaged Instance Segmentation with Diffusion. Int. J. Comput. Vis. Tuan-Anh Vu, Duc Thanh Nguyen, Qing Guo, Nhat Chung, Binh-Son Hua, Ivor W. Tsang, Sai-Kit Yeung
2026	A*	`conf`	Correspondence Coverage Matters for Multi-Modal Dataset Distillation. AAAI Zhuohang Dang, Minnan Luo, Chengyou Jia, Hangwei Qian, Xinyu Zhang, Xiaojun Chang, Ivor W. Tsang
2026	J	`jnl`	DXA-Net: Dual-Task Cross-Lingual Alignment Network for Zero-Shot Cross-Lingual Spoken Language Understanding. IEEE Trans. Pattern Anal. Mach. Intell. Bowen Xing, Libo Qin, Zhihong Zhu, Zhou Yu, Ivor W. Tsang
2026	J	`jnl`	Dataset Color Quantization: A Training-Oriented Framework for Dataset-Level Compression. CoRR Chenyue Yu, Lingao Xiao, Jinhong Deng, Ivor W. Tsang, Yang He
2026	J	`jnl`	Dual-balancing for multi-task learning. Neural Networks Baijiong Lin, Weisen Jiang, Feiyang Ye, Yu Zhang, Pengguang Chen, Ying-Cong Chen, Shu Liu, Ivor W. Tsang, James T. Kwok
2026	J	`jnl`	Explanation Beyond Individual Features: Instance-wise Feature Grouping for EHR Predictive Analytics. J. Heal. Informatics Res. Chin Wang Cheong, Kejing Yin, William K. Cheung, Ivor W. Tsang
2026	J	`jnl`	FOCUS: Frequency-Optimized Conditioning of diffUSion models for mitigating catastrophic forgetting during test-time adaptation. Mach. Vis. Appl. Gabriel Tjio, Jie Zhang, XuLei Yang, Yun Xing, Nhat Chung, Xiaofeng Cao, Ivor W. Tsang, Chee Keong Kwoh, Qing Guo
2026	J	`jnl`	Flow-Factory: A Unified Framework for Reinforcement Learning in Flow-Matching Models. CoRR Bowen Ping, Chengyou Jia, Minnan Luo, Hangwei Qian, Ivor W. Tsang
2026	A*	`conf`	GenMatLab: A Generative Platform for Inverse Materials Design. AAAI Hangwei Qian, Yang He, Yaxin Shi, Ivor W. Tsang
2026	J	`jnl`	HALO: Hardness-aware bilevel-inspired contrastive graph clustering. Int. J. Approx. Reason. Yuchen Zhu, Kuang Zhou, Haishan Ye, Guang Dai, Ivor W. Tsang
2026	J	`jnl`	HBVLA: Pushing 1-Bit Post-Training Quantization for Vision-Language-Action Models. CoRR Xin Yan, Zhenglin Wan, Feiyang Ye, Xingrui Yu, Hangyu Du, Yang You, Ivor W. Tsang
2026	J	`jnl`	Learning ORDER-Aware Multimodal Representations for Composite Materials Design. CoRR Xinyao Li, Hangwei Qian, Jingjing Li, Ivor W. Tsang
2026	A*	`conf`	MAGIC: Mastering Physical Adversarial Generation in Context Through Collaborative LLM Agents. AAAI Yun Xing, Nhat Chung, Jie Zhang, Yue Cao, Ivor W. Tsang, Yang Liu, Lei Ma, Qing Guo
2026	J	`jnl`	Mitigating Mismatch within Reference-based Preference Optimization. CoRR Suqin Yuan, Xingrui Yu, Jiyang Zheng, Lei Feng, Dadong Wang, Ivor W. Tsang, Tongliang Liu
2026	J	`jnl`	Olaf-World: Orienting Latent Actions for Video World Modeling. CoRR Yuxin Jiang, Yuchao Gu, Ivor W. Tsang, Mike Zheng Shou
2026	J	`jnl`	SA-VLA: Spatially-Aware Flow-Matching for Vision-Language-Action Reinforcement Learning. CoRR Xu Pan, Zhenglin Wan, Xingrui Yu, Xianwei Zheng, Youkai Ke, Ming Sun, Rui Wang, Ziwei Wang, Ivor W. Tsang
2026	J	`jnl`	SCOUT-RAG: Scalable and Cost-Efficient Unifying Traversal for Agentic Graph-RAG over Distributed Domains. CoRR Longkun Li, Yuanben Zou, Jinghan Wu, Yuqing Wen, Jing Li, Hangwei Qian, Ivor W. Tsang
2026	J	`jnl`	Sentence-Level Relation Semantics Learning via Contrastive Sentences. IEEE Trans. Pattern Anal. Mach. Intell. Bowen Xing, Ivor W. Tsang
2026	J	`jnl`	Time-Annealed Perturbation Sampling: Diverse Generation for Diffusion Language Models. CoRR Jingxuan Wu, Zhenglin Wan, Xingrui Yu, Yuzhe Yang, Yiqiao Huang, Ivor W. Tsang, Yang You
2026	J	`jnl`	Unifying Watermarking via Dimension-Aware Mapping. CoRR Jiale Meng, Runyi Hu, Jie Zhang, Zheming Lu, Ivor W. Tsang, Tianwei Zhang
2026	J	`jnl`	Warm-start or cold-start? A comparison of generalizability in gradient-based hyperparameter tuning. Neural Networks Yubo Zhou, Jun Shu, Chengli Tan, Haishan Ye, Quanziang Wang, Junmin Liu, Deyu Meng, Ivor W. Tsang, Guang Dai
2025	J	`jnl`	Active Sampling for Node Attribute Completion on Graphs. CoRR Benyuan Liu, Xu Chen, Yanfeng Wang, Ya Zhang, Zhi Cao, Ivor W. Tsang
2025	J	`jnl`	Alpha and Prejudice: Improving α-Sized Worst Case Fairness via Intrinsic Reweighting. IEEE Trans. Neural Networks Learn. Syst. Jing Li, Yinghua Yao, Yuangang Pan, Xuanqian Wang, Ivor W. Tsang, Xiuju Fu
2025	A*	`conf`	Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction. ICML Yadong Sun, Xiaofeng Cao, Ivor W. Tsang, Heng Tao Shen
2025	J	`jnl`	Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation. CoRR Xiaofeng Cao, Mingwei Xu, Xin Yu, Jiangchao Yao, Wei Ye, Shengjun Huang, Minling Zhang, Ivor W. Tsang, Yew Soon Ong, James T. Kwok, Heng Tao Shen
2025	J	`jnl`	AngleRoCL: Angle-Robust Concept Learning for Physically View-Invariant T2I Adversarial Patches. CoRR Wenjun Ji, Yuxiang Fu, Luyang Ying, Deng-Ping Fan, Yuyi Wang, Ming-Ming Cheng, Ivor W. Tsang, Qing Guo
2025	A*	`conf`	BGAE: Auto-encoding Multi-view Bipartite Graph Clustering (Extended Abstract). ICDE Liang Li, Yuangang Pan, Jie Liu, Yue Liu, Xinwang Liu, Kenli Li, Ivor W. Tsang, Keqin Li
2025	J	`jnl`	Balanced Image Stylization with Style Matching Score. CoRR Yuxin Jiang, Liming Jiang, Shuai Yang, Jia-Wei Liu, Ivor W. Tsang, Mike Zheng Shou
2025	J	`jnl`	Benchmarking Drag⋆ for eye direction transformation and beyond. Vis. Intell. Yuxiang Fu, Jiakun Ding, Renzhi Wang, Qian Fu, Ivor W. Tsang, Ming-Ming Cheng, Qing Guo
2025	A*	`conf`	Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration. ICLR Heyang Zhao, Xingrui Yu, David Mark Bossens, Ivor W. Tsang, Quanquan Gu
2025	J	`jnl`	Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration. CoRR Heyang Zhao, Xingrui Yu, David Mark Bossens, Ivor W. Tsang, Quanquan Gu
2025	A*	`conf`	Boosting with Fewer Tokens: Multi-Query Optimization for LLMs Using Node Text and Neighbor Cues. ICDE Yujie Fang, Xin Li, Yuangang Pan, Xin Huang, Ivor W. Tsang
2025	J	`jnl`	Coherence-guided Preference Disentanglement for Cross-domain Recommendations. ACM Trans. Inf. Syst. Zongyi Xiang, Yan Zhang, Lixin Duan, Hongzhi Yin, Ivor W. Tsang
2025	J	`jnl`	Collaborative Group-Aware Hashing for Fast Recommender Systems. CoRR Yan Zhang, Li Deng, Lixin Duan, Ivor W. Tsang, Guowu Yang
2025	J	`jnl`	Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking. CoRR Jun Chen, Lina Liu, Tianyi Zhu, Yong Liu, Guang Dai, Yunliang Jiang, Ivor W. Tsang
2025	J	`jnl`	Decentralized Optimization on Compact Submanifolds by Quantized Riemannian Gradient Tracking. IEEE Trans. Signal Process. Jun Chen, Lina Liu, Tianyi Zhu, Yong Liu, Guang Dai, Yunliang Jiang, Ivor W. Tsang
2025	J	`jnl`	Decouple Before Align: Visual Disentanglement Enhances Prompt Tuning. IEEE Trans. Pattern Anal. Mach. Intell. Fei Zhang, Tianfei Zhou, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang
2025	J	`jnl`	Decouple before Align: Visual Disentanglement Enhances Prompt Tuning. CoRR Fei Zhang, Tianfei Zhou, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang
2025	J	`jnl`	DepthVanish: Optimizing Adversarial Interval Structures for Stereo-Depth-Invisible Patches. CoRR Yun Xing, Yue Cao, Nhat Chung, Jie Zhang, Ivor W. Tsang, Ming-Ming Cheng, Yang Liu, Lei Ma, Qing Guo
2025	J	`jnl`	DigNet: Digging Clues From Local-Global Interactive Graph for Aspect-Level Sentiment Classification. IEEE Trans. Neural Networks Learn. Syst. Bowen Xing, Ivor W. Tsang
2025	J	`jnl`	Distributional Multi-objective Black-box Optimization for Diffusion-model Inference-time Multi-Target Generation. CoRR Kim Yong Tan, Yueming Lyu, Ivor W. Tsang, Yew-Soon Ong
2025	A*	`conf`	Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity. ICML Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Yew-Soon Ong, Ivor W. Tsang
2025	J	`jnl`	Evaluating LLMs Without Oracle Feedback: Agentic Annotation Evaluation Through Unsupervised Consistency Signals. CoRR Cheng Chen, Haiyan Yin, Ivor W. Tsang
2025	J	`jnl`	Evolutionary Computation as Natural Generative AI. CoRR Yaxin Shi, Abhishek Gupta, Ying Wu, Melvin Wong, Ivor W. Tsang, Thiago Rios, Stefan Menzel, Bernhard Sendhoff, Yaqing Hou, Yew-Soon Ong
2025	J	`jnl`	Exploring the Effectiveness and Interpretability of Texts in LLM-based Time Series Models. CoRR Zhengke Sun, Hangwei Qian, Ivor W. Tsang
2025	J	`jnl`	FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement Learning. CoRR Zhenglin Wan, Jingxuan Wu, Xingrui Yu, Chubin Zhang, Mingcong Lei, Bo An, Ivor W. Tsang
2025	J	`jnl`	FOCUS: Frequency-Optimized Conditioning of DiffUSion Models for mitigating catastrophic forgetting during Test-Time Adaptation. CoRR Gabriel Tjio, Jie Zhang, XuLei Yang, Yun Xing, Nhat Chung, Xiaofeng Cao, Ivor W. Tsang, Chee Keong Kwoh, Qing Guo
2025	J	`jnl`	FZOO: Fast Zeroth-Order Optimizer for Fine-Tuning Large Language Models towards Adam-Scale Speed. CoRR Sizhe Dang, Yangyang Guo, Yanjun Zhao, Haishan Ye, Xiaodong Zheng, Guang Dai, Ivor W. Tsang
2025	A*	`conf`	Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation. ICLR Kim Yong Tan, Yueming Lyu, Ivor W. Tsang, Yew-Soon Ong
2025	J	`jnl`	Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation. CoRR Kim Yong Tan, Yueming Lyu, Ivor W. Tsang, Yew-Soon Ong
2025	J	`jnl`	Generalized Probabilistic Graphical Modeling for Multi-View Bipartite Graph Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Liang Li, Yuangang Pan, Yinghua Yao, Junpu Zhang, Moyun Liu, Xueling Zhu, Xinwang Liu, Kenli Li, Ivor W. Tsang, Keqin Li
2025	J	`jnl`	Generation With Nuanced Changes: Continuous Image-to-Image Translation With Adversarial Preferences. IEEE Trans. Artif. Intell. Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao
2025	J	`jnl`	GoRL: An Algorithm-Agnostic Framework for Online Reinforcement Learning with Generative Policies. CoRR Chubin Zhang, Zhenglin Wan, Feng Chen, Xingrui Yu, Ivor W. Tsang, Bo An
2025	J	`jnl`	Graph Potential Field Neural Network for Massive Agents Group-wise Path Planning. Trans. Mach. Learn. Res. Yueming Lyu, Xiaowei Zhou, Xingrui Yu, Ivor W. Tsang
2025	A*	`conf`	Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey. IJCAI Haiyan Yin, Hangwei Qian, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong
2025	J	`jnl`	Group feature selection using non-class data. Mach. Learn. Chunna Li, Yuangang Pan, Weijie Chen, Ivor W. Tsang, Yuanhai Shao
2025	A	`conf`	HynetImpute: Missing Pattern Specialized Imputation via Hypernetwork. ECAI Ken Cheong, William K. Cheung, Ivor W. Tsang
2025	A	`conf`	Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration. AAMAS Xingrui Yu, Zhenglin Wan, David Mark Bossens, Yueming Lyu, Qing Guo, Ivor W. Tsang
2025	J	`jnl`	Implicit Multi-Behavior Generative Recommendation With Mixture of Quantization. IEEE Trans. Knowl. Data Eng. Yuze Tan, Yanjie Gou, Kouying Xue, Shudong Huang, Yi Hu, Ivor W. Tsang, Jiancheng Lv
2025	J	`jnl`	Incomplete Multi-View Clustering With Paired and Balanced Dynamic Anchor Learning. IEEE Trans. Multim. Xingfeng Li, Yuangang Pan, Yuan Sun, Quansen Sun, Yinghui Sun, Ivor W. Tsang, Zhenwen Ren
2025	A*	`conf`	Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization. IJCAI Yuanyuan Chang, Yinghua Yao, Tao Qin, Mengmeng Wang, Ivor W. Tsang, Guang Dai
2025	J	`jnl`	Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization. CoRR Yuanyuan Chang, Yinghua Yao, Tao Qin, Mengmeng Wang, Ivor W. Tsang, Guang Dai
2025	J	`jnl`	JetBGC: Joint Robust Embedding and Structural Fusion Bipartite Graph Clustering. IEEE Trans. Knowl. Data Eng. Liang Li, Yuangang Pan, Junpu Zhang, Pei Zhang, Jie Liu, Xinwang Liu, Kenli Li, Ivor W. Tsang, Keqin Li
2025	J	`jnl`	Lang-PINN: From Language to Physics-Informed Neural Networks via a Multi-Agent Framework. CoRR Xin He, Liangliang You, Hongduan Tian, Bo Han, Ivor W. Tsang, Yew-Soon Ong
2025	J	`jnl`	Leveraging Scene Context with Dual Networks for Sequential User Behavior Modeling. CoRR Xu Chen, Yunmeng Shu, Yuangang Pan, Jinsong Lan, Xiaoyong Zhu, Shuai Xiao, Haojin Zhu, Ivor W. Tsang, Bo Zheng
2025	J	`jnl`	Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron Exploration. CoRR Chengqi Zheng, Haiyan Yin, Jianda Chen, Terence Ng, Yew-Soon Ong, Ivor W. Tsang
2025	A*	`conf`	Max-Mahalanobis Anchors Guidance for Multi-View Clustering. AAAI Pei Zhang, Yuangang Pan, Siwei Wang, Shengju Yu, Huiying Xu, En Zhu, Xinwang Liu, Ivor W. Tsang
2025	J	`jnl`	MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming. CoRR Chengqi Zheng, Jianda Chen, Yueming Lyu, Wen Zheng Terence Ng, Haopeng Zhang, Yew-Soon Ong, Ivor W. Tsang, Haiyan Yin
2025	J	`jnl`	Multi-Modal Dataset Distillation in the Wild. CoRR Zhuohang Dang, Minnan Luo, Chengyou Jia, Hangwei Qian, Xiaojun Chang, Ivor W. Tsang
2025	J	`jnl`	Numerical Sensitivity and Robustness: Exploring the Flaws of Mathematical Reasoning in Large Language Models. CoRR Zhishen Sun, Guang Dai, Ivor W. Tsang, Haishan Ye
2025	J	`jnl`	OSCAR: Orthogonal Stochastic Control for Alignment-Respecting Diversity in Flow Matching. CoRR Jingxuan Wu, Zhenglin Wan, Xingrui Yu, Yuzhe Yang, Bo An, Ivor W. Tsang
2025	J	`jnl`	Personalized Vision via Visual In-Context Learning. CoRR Yuxin Jiang, Yuchao Gu, Yiren Song, Ivor W. Tsang, Mike Zheng Shou
2025	J	`jnl`	Power of Boundary and Reflection: Semantic Transparent Object Segmentation using Pyramid Vision Transformer with Transparent Cues. CoRR Tuan-Anh Vu, Hai Nguyen-Truong, Ziqiang Zheng, Binh-Son Hua, Qing Guo, Ivor W. Tsang, Sai-Kit Yeung
2025	J	`jnl`	Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack. CoRR Jing Xue, Zhishen Sun, Haishan Ye, Luo Luo, Xiangyu Chang, Ivor W. Tsang, Guang Dai
2025	A*	`conf`	ProAdvPrompter: A Two-Stage Journey to Effective Adversarial Prompting for LLMs. ICLR Hao Di, Tong He, Haishan Ye, Yinghui Huang, Xiangyu Chang, Guang Dai, Ivor W. Tsang
2025	J	`jnl`	Reflection-Driven Control for Trustworthy Code Agents. CoRR Bin Wang, Jiazheng Quan, Xingrui Yu, Hansen Hu, Yuhao, Ivor W. Tsang
2025	J	`jnl`	RouteMark: A Fingerprint for Intellectual Property Attribution in Routing-based Model Merging. CoRR Xin He, Junxi Shen, Zhenheng Tang, Xiaowen Chu, Bo Li, Ivor W. Tsang, Yew-Soon Ong
2025	J	`jnl`	Sandbox: safeguarded multi-label learning through safe optimal transport. Mach. Learn. Lefei Zhang, Geng Yu, Jiangchao Yao, Yew-Soon Ong, Ivor W. Tsang, James T. Kwok
2025	J	`jnl`	Scalable unpaired multi-view clustering with Bipartite Graph Matching. Inf. Fusion Xingfeng Li, Yuangang Pan, Yuan Sun, Yinghui Sun, Quansen Sun, Zhenwen Ren, Ivor W. Tsang
2025	A*	`conf`	SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments. CVPR Yue Cao, Yun Xing, Jie Zhang, Di Lin, Tianwei Zhang, Ivor W. Tsang, Yang Liu, Qing Guo
2025	A*	`conf`	Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer. ICLR Yanjun Zhao, Sizhe Dang, Haishan Ye, Guang Dai, Yi Qian, Ivor W. Tsang
2025	J	`jnl`	Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack. IEEE Trans. Pattern Anal. Mach. Intell. Xiaojun Jia, Sensen Gao, Qing Guo, Simeng Qin, Ke Ma, Yihao Huang, Yang Liu, Ivor W. Tsang, Xiaochun Cao
2025	J	`jnl`	Sharpening deep graph clustering via diverse bellwethers. Knowl. Based Syst. Peiyao Zhao, Xin Li, Yuangang Pan, Ivor W. Tsang, Mingzhong Wang, Lejian Liao
2025	A*	`conf`	Sharpness-Aware Black-Box Optimization. ICLR Feiyang Ye, Yueming Lyu, Xuehao Wang, Masashi Sugiyama, Yu Zhang, Ivor W. Tsang
2025	J	`jnl`	Time-variant Image Inpainting via Interactive Distribution Transition Estimation. CoRR Yun Xing, Qing Guo, Xiaohong Li, Yihao Huang, Xiaofeng Cao, Di Lin, Ivor W. Tsang, Lei Ma
2025	A*	`conf`	Training-Free Dataset Pruning for Instance Segmentation. ICLR Yalun Dai, Lingao Xiao, Ivor W. Tsang, Yang He
2025	J	`jnl`	Training-Free Dataset Pruning for Instance Segmentation. CoRR Yalun Dai, Lingao Xiao, Ivor W. Tsang, Yang He
2025	J	`jnl`	Uncover and Unlearn Nuisances: Agnostic Fully Test-Time Adaptation. CoRR Ponhvoan Srey, Yaxin Shi, Hangwei Qian, Jing Li, Ivor W. Tsang
2025	J	`jnl`	Uncover and unlearn nuisances: agnostic fully test-time adaptation. Mach. Learn. Ponhvoan Srey, Yaxin Shi, Hangwei Qian, Jing Li, Ivor W. Tsang
2025	J	`jnl`	Unlearning Misalignment for Personalized LLM Adaptation via Instance-Response-Dependent Discrepancies. Trans. Mach. Learn. Res. Cheng Chen, Atsushi Nitanda, Ivor W. Tsang
2025	J	`jnl`	Why Settle for One? Text-to-ImageSet Generation and Evaluation. CoRR Chengyou Jia, Xin Shen, Zhuohang Dang, Changliang Xia, Weijia Wu, Xinyu Zhang, Hangwei Qian, Ivor W. Tsang, Minnan Luo
2024	J	`jnl`	A Convergence Path to Deep Learning on Noisy Labels. IEEE Trans. Neural Networks Learn. Syst. Defu Liu, Ivor W. Tsang, Guowu Yang
2024	A	`conf`	A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization. ECAI Feiyang Ye, Baijiong Lin, Xiaofeng Cao, Yu Zhang, Ivor W. Tsang
2024	J	`jnl`	A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization. CoRR Feiyang Ye, Baijiong Lin, Xiaofeng Cao, Yu Zhang, Ivor W. Tsang
2024	A*	`conf`	AHIVE: Anatomy-Aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval. CVPR Sixing Yan, William K. Cheung, Ivor W. Tsang, Wan Hang Keith Chiu, Terence M. Tong, Ka Chun Cheung, Simon See
2024	A*	`conf`	Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning. ICLR Feiyang Ye, Yueming Lyu, Xuehao Wang, Yu Zhang, Ivor W. Tsang
2024	J	`jnl`	Adversarial Learning for Coordinate Regression Through $k$k-Layer Penetrating Representation. IEEE Trans. Dependable Secur. Comput. Mengxi Jiang, Yulei Sui, Yunqi Lei, Xiaofei Xie, Cuihua Li, Yang Liu, Ivor W. Tsang
2024	J	`jnl`	Alpha and Prejudice: Improving α-sized Worst-case Fairness via Intrinsic Reweighting. CoRR Jing Li, Yinghua Yao, Yuangang Pan, Xuanqian Wang, Ivor W. Tsang, Xiuju Fu
2024	J	`jnl`	BGAE: Auto-Encoding Multi-View Bipartite Graph Clustering. IEEE Trans. Knowl. Data Eng. Liang Li, Yuangang Pan, Jie Liu, Yue Liu, Xinwang Liu, Kenli Li, Ivor W. Tsang, Keqin Li
2024	—	`conf`	Boosting Transferability in Vision-Language Attacks via Diversification Along the Intersection Region of Adversarial Trajectory. ECCV (57) Sensen Gao, Xiaojun Jia, Xuhong Ren, Ivor W. Tsang, Qing Guo
2024	J	`jnl`	Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory. CoRR Sensen Gao, Xiaojun Jia, Xuhong Ren, Ivor W. Tsang, Qing Guo
2024	J	`jnl`	Branches, Assemble! Multi-Branch Cooperation Network for Large-Scale Click-Through Rate Prediction at Taobao. CoRR Xu Chen, Zida Cheng, Yuangang Pan, Shuai Xiao, Xiaoming Liu, Jinsong Lan, Qingwen Liu, Ivor W. Tsang
2024	J	`jnl`	CGDD: Multiview Graph Clustering via Cross-Graph Diversity Detection. IEEE Trans. Neural Networks Learn. Syst. Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
2024	A*	`conf`	Can Gaussian Sketching Converge Faster on a Preconditioned Landscape? ICML Yilong Wang, Haishan Ye, Guang Dai, Ivor W. Tsang
2024	J	`jnl`	Co-Guiding for Multi-Intent Spoken Language Understanding. IEEE Trans. Pattern Anal. Mach. Intell. Bowen Xing, Ivor W. Tsang
2024	J	`jnl`	Coarse-to-Fine Contrastive Learning on Graphs. IEEE Trans. Neural Networks Learn. Syst. Peiyao Zhao, Yuangang Pan, Xin Li, Xu Chen, Ivor W. Tsang, Lejian Liao
2024	J	`jnl`	Coherence-guided Preference Disentanglement for Cross-domain Recommendations. CoRR Zongyi Xiang, Yan Zhang, Lixin Duan, Hongzhi Yin, Ivor W. Tsang
2024	J	`jnl`	Collaborative Knowledge Infusion for Low-Resource Stance Detection. Big Data Min. Anal. Ming Yan, Joey Tianyi Zhou, Ivor W. Tsang
2024	J	`jnl`	Collaborative Knowledge Infusion for Low-resource Stance Detection. CoRR Ming Yan, Joey Tianyi Zhou, Ivor W. Tsang
2024	J	`jnl`	Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation. CoRR Yueming Lyu, Kim Yong Tan, Yew Soon Ong, Ivor W. Tsang
2024	A*	`conf`	Cross-Context Backdoor Attacks against Graph Prompt Learning. KDD Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor W. Tsang, Xiangliang Zhang
2024	J	`jnl`	Cross-Context Backdoor Attacks against Graph Prompt Learning. CoRR Xiaoting Lyu, Yufei Han, Wei Wang, Hangwei Qian, Ivor W. Tsang, Xiangliang Zhang
2024	A*	`conf`	DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding. EMNLP Bowen Xing, Lizi Liao, Minlie Huang, Ivor W. Tsang
2024	A*	`conf`	Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold. ICLR Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu
2024	—	`conf`	Diagnose with Uncertainty Awareness: Diagnostic Uncertainty Encoding Framework for Radiology Report Generation. UNSURE@MICCAI Sixing Yan, Haiyan Yin, Ivor W. Tsang, William K. Cheung
2024	J	`jnl`	Differential-Critic GAN: Generating What You Want by a Cue of Preferences. IEEE Trans. Neural Networks Learn. Syst. Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao
2024	J	`jnl`	Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting. IEEE Trans. Knowl. Data Eng. Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang
2024	J	`jnl`	Distribution Matching for Machine Teaching. IEEE Trans. Neural Networks Learn. Syst. Xiaofeng Cao, Ivor W. Tsang
2024	A*	`conf`	Diversified Batch Selection for Training Acceleration. ICML Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang
2024	J	`jnl`	Diversified Batch Selection for Training Acceleration. CoRR Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang
2024	J	`jnl`	Diversifying Policies With Non-Markov Dispersion to Expand the Solution Space. IEEE Trans. Pattern Anal. Mach. Intell. Bohao Qu, Xiaofeng Cao, Yi Chang, Ivor W. Tsang, Yew-Soon Ong
2024	A*	`conf`	Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods. ICML Hao Di, Haishan Ye, Xiangyu Chang, Guang Dai, Ivor W. Tsang
2024	A*	`conf`	Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient. ICML Hao Di, Haishan Ye, Yueling Zhang, Xiangyu Chang, Guang Dai, Ivor W. Tsang
2024	J	`jnl`	Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient. CoRR Hao Di, Haishan Ye, Yueling Zhang, Xiangyu Chang, Guang Dai, Ivor W. Tsang
2024	J	`jnl`	Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement. IEEE Trans. Knowl. Data Eng. Yu Wang, Liang Hu, Xiaofeng Cao, Yi Chang, Ivor W. Tsang
2024	J	`jnl`	Euclidean Distance is Not Your Swiss Army Knife. IEEE Trans. Knowl. Data Eng. Yuze Tan, Yixi Liu, Hongjie Wu, Shudong Huang, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv
2024	J	`jnl`	ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference. CoRR Xin He, Shunkang Zhang, Yuxin Wang, Haiyan Yin, Zihao Zeng, Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Ivor W. Tsang, Yew-Soon Ong
2024	J	`jnl`	Exploiting Contextual Target Attributes for Target Sentiment Classification. J. Artif. Intell. Res. Bowen Xing, Ivor W. Tsang
2024	A*	`conf`	Fast Unpaired Multi-view Clustering. IJCAI Xingfeng Li, Yuangang Pan, Yinghui Sun, Quansen Sun, Ivor W. Tsang, Zhenwen Ren
2024	—	`conf`	Fine-Grained Partial Label Learning. CAI Cheng Chen, Yueming Lyu, Xingrui Yu, Jing Li, Ivor W. Tsang
2024	J	`jnl`	Generative Adversarial Ranking Nets. J. Mach. Learn. Res. Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao
2024	J	`jnl`	Guest Editorial Special Issue on Resource Sustainable Computational and Artificial Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. Joey Tianyi Zhou, Ivor W. Tsang, Yew Soon Ong
2024	J	`jnl`	HC CoRR Bowen Xing, Ivor W. Tsang
2024	J	`jnl`	HC$^{2}$2L: Hybrid and Cooperative Contrastive Learning for Cross-Lingual Spoken Language Understanding. IEEE Trans. Pattern Anal. Mach. Intell. Bowen Xing, Ivor W. Tsang
2024	A*	`conf`	IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks. ICLR Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor W. Tsang, Yang Liu, Qing Guo
2024	J	`jnl`	Imitation Learning: Progress, Taxonomies and Challenges. IEEE Trans. Neural Networks Learn. Syst. Boyuan Zheng, Sunny Verma, Jianlong Zhou, Ivor W. Tsang, Fang Chen
2024	J	`jnl`	Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration. CoRR Xingrui Yu, Zhenglin Wan, David Mark Bossens, Yueming Lyu, Qing Guo, Ivor W. Tsang
2024	B	`conf`	Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance Detection. IJCNN Kairui Hu, Ming Yan, Wen Haw Chong, Yong Keong Yap, Cuntai Guan, Joey Tianyi Zhou, Ivor W. Tsang
2024	J	`jnl`	Learning Discretized Neural Networks under Ricci Flow. J. Mach. Learn. Res. Jun Chen, Hanwen Chen, Mengmeng Wang, Guang Dai, Ivor W. Tsang, Yong Liu
2024	J	`jnl`	Learning node representations against perturbations. Pattern Recognit. Xu Chen, Yuangang Pan, Ivor W. Tsang, Ya Zhang
2024	—	`conf`	Local and Global Guidance for Multi-Complementary Label Learning. CAI Cheng Chen, Ivor W. Tsang
2024	—	`conf`	Low-Hanging Fruit: Knowledge Distillation from Noisy Teachers for Open Domain Spoken Language Understanding. ECML/PKDD (4) Cheng Chen, Bowen Xing, Ivor W. Tsang
2024	J	`jnl`	MAGIC: Mastering Physical Adversarial Generation in Context through Collaborative LLM Agents. CoRR Yun Xing, Nhat Chung, Jie Zhang, Yue Cao, Ivor W. Tsang, Yang Liu, Lei Ma, Qing Guo
2024	J	`jnl`	Mentored Learning: Improving Generalization and Convergence of Student Learner. J. Mach. Learn. Res. Xiaofeng Cao, Yaming Guo, Heng Tao Shen, Ivor W. Tsang, James T. Kwok
2024	A*	`conf`	MetaRepair: Learning to Repair Deep Neural Networks from Repairing Experiences. ACM Multimedia Yun Xing, Qing Guo, Xiaofeng Cao, Ivor W. Tsang, Lei Ma
2024	J	`jnl`	Multi-objective meta-learning. Artif. Intell. Feiyang Ye, Baijiong Lin, Zhixiong Yue, Yu Zhang, Ivor W. Tsang
2024	A*	`conf`	Multisize Dataset Condensation. ICLR Yang He, Lingao Xiao, Joey Tianyi Zhou, Ivor W. Tsang
2024	J	`jnl`	Multisize Dataset Condensation. CoRR Yang He, Lingao Xiao, Joey Tianyi Zhou, Ivor W. Tsang
2024	A*	`conf`	On Harmonizing Implicit Subpopulations. ICLR Feng Hong, Jiangchao Yao, Yueming Lyu, Zhihan Zhou, Ivor W. Tsang, Ya Zhang, Yanfeng Wang
2024	J	`jnl`	Online Multi-Agent Forecasting With Interpretable Collaborative Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang
2024	—	`conf`	PC-X: Profound Clustering via Slow Exemplars. CPAL Yuangang Pan, Yinghua Yao, Ivor W. Tsang
2024	J	`jnl`	PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation. CoRR Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao
2024	J	`jnl`	PROUD: PaRetO-gUided diffusion model for multi-objective generation. Mach. Learn. Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao
2024	A*	`conf`	Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting. NeurIPS Jinliang Deng, Feiyang Ye, Du Yin, Xuan Song, Ivor W. Tsang, Hui Xiong
2024	J	`jnl`	Quality Diversity Imitation Learning. CoRR Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Ivor W. Tsang
2024	J	`jnl`	Sanitized clustering against confounding bias. Mach. Learn. Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao
2024	J	`jnl`	SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments. CoRR Yue Cao, Yun Xing, Jie Zhang, Di Lin, Tianwei Zhang, Ivor W. Tsang, Yang Liu, Qing Guo
2024	J	`jnl`	Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer. CoRR Yanjun Zhao, Sizhe Dang, Haishan Ye, Guang Dai, Yi Qian, Ivor W. Tsang
2024	J	`jnl`	Self-Assessed Generation: Trustworthy Label Generation for Optical Flow and Stereo Matching in Real-world. CoRR Han Ling, Yinghui Sun, Quansen Sun, Ivor W. Tsang, Yuhui Zheng
2024	—	`conf`	Self-Teaching Prompting for Multi-Intent Learning with Limited Supervision. Tiny Papers @ ICLR Cheng Chen, Ivor W. Tsang
2024	J	`jnl`	Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack. CoRR Xiaojun Jia, Sensen Gao, Qing Guo, Ke Ma, Yihao Huang, Simeng Qin, Yang Liu, Ivor W. Tsang, Xiaochun Cao
2024	J	`jnl`	Sharpness-Aware Black-Box Optimization. CoRR Feiyang Ye, Yueming Lyu, Xuehao Wang, Masashi Sugiyama, Yu Zhang, Ivor W. Tsang
2024	A*	`conf`	Sharpness-Aware Minimization Activates the Interactive Teaching's Understanding and Optimization. NeurIPS Mingwei Xu, Xiaofeng Cao, Ivor W. Tsang
2024	J	`jnl`	Taming Overconfident Prediction on Unlabeled Data From Hindsight. IEEE Trans. Neural Networks Learn. Syst. Jing Li, Yuangang Pan, Ivor W. Tsang
2024	J	`jnl`	The Bigger the Better? Rethinking the Effective Model Scale in Long-term Time Series Forecasting. CoRR Jinliang Deng, Xuan Song, Ivor W. Tsang, Hui Xiong
2024	A*	`conf`	Towards Harmless Rawlsian Fairness Regardless of Demographic Prior. NeurIPS Xuanqian Wang, Jing Li, Ivor W. Tsang, Yew Soon Ong
2024	J	`jnl`	Towards Harmless Rawlsian Fairness Regardless of Demographic Prior. CoRR Xuanqian Wang, Jing Li, Ivor W. Tsang, Yew-Soon Ong
2024	J	`jnl`	Transductive Reward Inference on Graph. CoRR Bohao Qu, Xiaofeng Cao, Qing Guo, Yi Chang, Ivor W. Tsang, Chengqi Zhang
2024	J	`jnl`	Transductive Reward Inference on Graph. IEEE Trans. Knowl. Data Eng. Bohao Qu, Xiaofeng Cao, Qing Guo, Yi Chang, Ivor W. Tsang, Chengqi Zhang
2024	J	`jnl`	USN: A Robust Imitation Learning Method against Diverse Action Noise. J. Artif. Intell. Res. Xingrui Yu, Bo Han, Ivor W. Tsang
2023	J	`jnl`	A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting. IEEE Trans. Knowl. Data Eng. Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang
2023	J	`jnl`	Adversary-Aware Partial label learning with Label distillation. CoRR Cheng Chen, Yueming Lyu, Ivor W. Tsang
2023	J	`jnl`	Aggregation Weighting of Federated Learning via Generalization Bound Estimation. CoRR Mingwei Xu, Xiaofeng Cao, Ivor W. Tsang, James T. Kwok
2023	—	`conf`	Causal Intervention for Abstractive Related Work Generation. EMNLP (Findings) Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Liang Hu, Ivor W. Tsang
2023	J	`jnl`	Causal Intervention for Abstractive Related Work Generation. CoRR Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Ivor W. Tsang
2023	—	`conf`	Co-Evolving Graph Reasoning Network for Emotion-Cause Pair Extraction. ECML/PKDD (1) Bowen Xing, Ivor W. Tsang
2023	J	`jnl`	Co-evolving Graph Reasoning Network for Emotion-Cause Pair Extraction. CoRR Bowen Xing, Ivor W. Tsang
2023	J	`jnl`	Co-guiding for Multi-intent Spoken Language Understanding. CoRR Bowen Xing, Ivor W. Tsang
2023	J	`jnl`	Contrastive Attraction and Contrastive Repulsion for Representation Learning. Trans. Mach. Learn. Res. Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou
2023	J	`jnl`	Data-Efficient Learning via Minimizing Hyperspherical Energy. IEEE Trans. Pattern Anal. Mach. Intell. Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang
2023	J	`jnl`	Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold. CoRR Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu
2023	J	`jnl`	DifFormer: Multi-Resolutional Differencing Transformer With Dynamic Ranging for Time Series Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Bing Li, Wei Cui, Le Zhang, Ce Zhu, Wei Wang, Ivor W. Tsang, Joey Tianyi Zhou
2023	J	`jnl`	Earning Extra Performance From Restrictive Feedbacks. IEEE Trans. Pattern Anal. Mach. Intell. Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Yulei Sui, Ivor W. Tsang
2023	J	`jnl`	Earning Extra Performance from Restrictive Feedbacks. CoRR Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Yulei Sui, Ivor W. Tsang
2023	J	`jnl`	Exploiting Contextual Target Attributes for Target Sentiment Classification. CoRR Bowen Xing, Ivor W. Tsang
2023	J	`jnl`	IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks. CoRR Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor W. Tsang, Yang Liu, Qing Guo
2023	J	`jnl`	LADDER: Latent boundary-guided adversarial training. Mach. Learn. Xiaowei Zhou, Ivor W. Tsang, Jie Yin
2023	J	`jnl`	Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance Detection. CoRR Kairui Hu, Ming Yan, Joey Tianyi Zhou, Ivor W. Tsang, Wen Haw Chong, Yong Keong Yap
2023	J	`jnl`	Latent Class-Conditional Noise Model. CoRR Jiangchao Yao, Bo Han, Zhihan Zhou, Ya Zhang, Ivor W. Tsang
2023	J	`jnl`	Latent Class-Conditional Noise Model. IEEE Trans. Pattern Anal. Mach. Intell. Jiangchao Yao, Bo Han, Zhihan Zhou, Ya Zhang, Ivor W. Tsang
2023	J	`jnl`	Latent Representation Guided Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
2023	J	`jnl`	Learning Restoration is Not Enough: Transfering Identical Mapping for Single-Image Shadow Removal. CoRR Xiaoguang Li, Qing Guo, Pingping Cai, Wei Feng, Ivor W. Tsang, Song Wang
2023	J	`jnl`	Learning Structured Components: Towards Modular and Interpretable Multivariate Time Series Forecasting. CoRR Jinliang Deng, Xiusi Chen, Renhe Jiang, Du Yin, Yi Yang, Xuan Song, Ivor W. Tsang
2023	A*	`conf`	Leveraging Inpainting for Single-Image Shadow Removal. ICCV Xiaoguang Li, Qing Guo, Rabab Abdelfattah, Di Lin, Wei Feng, Ivor W. Tsang, Song Wang
2023	J	`jnl`	Leveraging Inpainting for Single-Image Shadow Removal. CoRR Xiaoguang Li, Qing Guo, Rabab Abdelfattah, Di Lin, Wei Feng, Ivor W. Tsang, Song Wang
2023	J	`jnl`	Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation. CoRR Tuan-Anh Vu, Duc Thanh Nguyen, Qing Guo, Binh-Son Hua, Nhat Chung, Ivor W. Tsang, Sai-Kit Yeung
2023	A	`conf`	MTKDN: Multi-Task Knowledge Disentanglement Network for Recommendation. CIKM Haotian Wu, Bowen Xing, Ivor W. Tsang
2023	J	`jnl`	MetaCAR: Cross-Domain Meta-Augmentation for Content-Aware Recommendation. IEEE Trans. Knowl. Data Eng. Hui Xu, Changyu Li, Yan Zhang, Lixin Duan, Ivor W. Tsang, Jie Shao
2023	J	`jnl`	Missingness-Pattern-Adaptive Learning With Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin
2023	A*	`conf`	Multi-Task Learning via Time-Aware Neural ODE. IJCAI Feiyang Ye, Xuehao Wang, Yu Zhang, Ivor W. Tsang
2023	J	`jnl`	Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity. IEEE Trans. Knowl. Data Eng. Shudong Huang, Yixi Liu, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
2023	J	`jnl`	Noisy Label Learning With Provable Consistency for a Wider Family of Losses. IEEE Trans. Pattern Anal. Mach. Intell. Defu Liu, Wen Li, Lixin Duan, Ivor W. Tsang, Guowu Yang
2023	A*	`conf`	Nonparametric Iterative Machine Teaching. ICML Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
2023	J	`jnl`	Nonparametric Iterative Machine Teaching. CoRR Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
2023	A*	`conf`	Nonparametric Teaching for Multiple Learners. NeurIPS Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
2023	J	`jnl`	Nonparametric Teaching for Multiple Learners. CoRR Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
2023	J	`jnl`	On the Robustness of Segment Anything. CoRR Yihao Huang, Yue Cao, Tianlin Li, Felix Juefei-Xu, Di Lin, Ivor W. Tsang, Yang Liu, Qing Guo
2023	J	`jnl`	Open Set Domain Adaptation With Soft Unknown-Class Rejection. IEEE Trans. Neural Networks Learn. Syst. Yiming Xu, Lin Chen, Lixin Duan, Ivor W. Tsang, Jiebo Luo
2023	J	`jnl`	Relational Temporal Graph Reasoning for Dual-Task Dialogue Language Understanding. IEEE Trans. Pattern Anal. Mach. Intell. Bowen Xing, Ivor W. Tsang
2023	J	`jnl`	Relational Temporal Graph Reasoning for Dual-task Dialogue Language Understanding. CoRR Bowen Xing, Ivor W. Tsang
2023	J	`jnl`	Sanitized Clustering against Confounding Bias. CoRR Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao
2023	J	`jnl`	Structure-Informed Shadow Removal Networks. CoRR Yuhao Liu, Qing Guo, Lan Fu, Zhanghan Ke, Ke Xu, Wei Feng, Ivor W. Tsang, Rynson W. H. Lau
2023	J	`jnl`	Structure-Informed Shadow Removal Networks. IEEE Trans. Image Process. Yuhao Liu, Qing Guo, Lan Fu, Zhanghan Ke, Ke Xu, Wei Feng, Ivor W. Tsang, Rynson W. H. Lau
2023	J	`jnl`	SuperInpaint: Learning Detail-Enhanced Attentional Implicit Representation for Super-resolutional Image Inpainting. CoRR Canyu Zhang, Qing Guo, Xiaoguang Li, Renjie Wan, Hongkai Yu, Ivor W. Tsang, Song Wang
2023	J	`jnl`	Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation. ACM Trans. Inf. Syst. Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan, Jingchao Su
2023	J	`jnl`	UTSGAN: Unseen Transition Suss GAN for Transition-Aware Image-to-image Translation. CoRR Yaxin Shi, Xiaowei Zhou, Ping Liu, Ivor W. Tsang
2023	J	`jnl`	Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search. CoRR Kim Yong Tan, Yueming Lyu, Yew Soon Ong, Ivor W. Tsang
2022	J	`jnl`	A Survey of Learning on Small Data. CoRR Xiaofeng Cao, Weixin Bu, Shengjun Huang, Ying-Peng Tang, Yaming Guo, Yi Chang, Ivor W. Tsang
2022	C	`ed.`	Asian Conference on Machine Learning, ACML 2022, 12-14 December 2022, Hyderabad, India. ACML Vineeth N. Balasubramanian, Ivor W. Tsang
2022	A*	`conf`	Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs. EMNLP Bowen Xing, Ivor W. Tsang
2022	J	`jnl`	Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs. CoRR Bowen Xing, Ivor W. Tsang
2022	J	`jnl`	Coarse-to-Fine Contrastive Learning on Graphs. CoRR Peiyao Zhao, Yuangang Pan, Xin Li, Xu Chen, Ivor W. Tsang, Lejian Liao
2022	J	`jnl`	Cold-Start Active Sampling Via γ-Tube. IEEE Trans. Cybern. Xiaofeng Cao, Ivor W. Tsang, Jianliang Xu
2022	—	`conf`	DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition. ACL (Findings) Bowen Xing, Ivor W. Tsang
2022	J	`jnl`	DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition. CoRR Bowen Xing, Ivor W. Tsang
2022	J	`jnl`	Data-Efficient Learning via Minimizing Hyperspherical Energy. CoRR Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang
2022	J	`jnl`	Deep Co-Image-Label Hashing for Multi-Label Image Retrieval. IEEE Trans. Multim. Xiaobo Shen, Guohua Dong, Yuhui Zheng, Long Lan, Ivor W. Tsang, Quan-Sen Sun
2022	J	`jnl`	Deep Pairwise Hashing for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li
2022	J	`jnl`	DigNet: Digging Clues from Local-Global Interactive Graph for Aspect-level Sentiment Classification. CoRR Bowen Xing, Ivor W. Tsang
2022	J	`jnl`	Distribution Disagreement via Lorentzian Focal Representation. IEEE Trans. Pattern Anal. Mach. Intell. Xiaofeng Cao, Ivor W. Tsang
2022	A*	`conf`	Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations. ICDE Yan Zhang, Changyu Li, Ivor W. Tsang, Hui Xu, Lixin Duan, Hongzhi Yin, Wen Li, Jie Shao
2022	J	`jnl`	Diverse Preference Augmentation with Multiple Domains for Cold-start Recommendations. CoRR Yan Zhang, Changyu Li, Ivor W. Tsang, Hui Xu, Lixin Duan, Hongzhi Yin, Wen Li, Jie Shao
2022	J	`jnl`	Domain-Adversarial Network Alignment. IEEE Trans. Knowl. Data Eng. Huiting Hong, Xin Li, Yuangang Pan, Ivor W. Tsang
2022	—	`conf`	Edge but not Least: Cross-View Graph Pooling. ECML/PKDD (2) Xiaowei Zhou, Jie Yin, Ivor W. Tsang
2022	J	`jnl`	Efficient federated multi-view learning. Pattern Recognit. Shudong Huang, Wei Shi, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv
2022	J	`jnl`	Fast and Robust Rank Aggregation against Model Misspecification. J. Mach. Learn. Res. Yuangang Pan, Ivor W. Tsang, Weijie Chen, Gang Niu, Masashi Sugiyama
2022	A*	`conf`	Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Filling. EMNLP Bowen Xing, Ivor W. Tsang
2022	J	`jnl`	Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Filling. CoRR Bowen Xing, Ivor W. Tsang
2022	J	`jnl`	Latent Boundary-guided Adversarial Training. CoRR Xiaowei Zhou, Ivor W. Tsang, Jie Yin
2022	A*	`conf`	Learning Smooth Representation for Multi-view Subspace Clustering. ACM Multimedia Shudong Huang, Yixi Liu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
2022	J	`jnl`	Learning With Label Proportions by Incorporating Unmarked Data. IEEE Trans. Neural Networks Learn. Syst. Jing Chai, Ivor W. Tsang
2022	J	`jnl`	Learning on Attribute-Missing Graphs. IEEE Trans. Pattern Anal. Mach. Intell. Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang
2022	J	`jnl`	Measuring Diversity in Graph Learning: A Unified Framework for Structured Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
2022	A*	`conf`	Multi-View Clustering on Topological Manifold. AAAI Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu
2022	A*	`conf`	Multi-view Subspace Clustering on Topological Manifold. NeurIPS Shudong Huang, Hongjie Wu, Yazhou Ren, Ivor W. Tsang, Zenglin Xu, Wentao Feng, Jiancheng Lv
2022	J	`jnl`	Multiple partitions alignment via spectral rotation. Mach. Learn. Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
2022	J	`jnl`	Neural Subgraph Explorer: Reducing Noisy Information via Target-Oriented Syntax Graph Pruning. CoRR Bowen Xing, Ivor W. Tsang
2022	A*	`conf`	Neural Subgraph Explorer: Reducing Noisy Information via Target-oriented Syntax Graph Pruning. IJCAI Bowen Xing, Ivor W. Tsang
2022	J	`jnl`	One-shot Machine Teaching: Cost Very Few Examples to Converge Faster. CoRR Chen Zhang, Xiaofeng Cao, Yi Chang, Ivor W. Tsang
2022	J	`jnl`	Out of Context: A New Clue for Context Modeling of Aspect-based Sentiment Analysis. J. Artif. Intell. Res. Bowen Xing, Ivor W. Tsang
2022	J	`jnl`	Reasonable Effectiveness of Random Weighting: A Litmus Test for Multi-Task Learning. Trans. Mach. Learn. Res. Baijiong Lin, Feiyang Ye, Yu Zhang, Ivor W. Tsang
2022	J	`jnl`	Recursive Copy and Paste GAN: Face Hallucination From Shaded Thumbnails. IEEE Trans. Pattern Anal. Mach. Intell. Yang Zhang, Ivor W. Tsang, Yawei Luo, Changhui Hu, Xiaobo Lu, Xin Yu
2022	J	`jnl`	Shattering Distribution for Active Learning. IEEE Trans. Neural Networks Learn. Syst. Xiaofeng Cao, Ivor W. Tsang
2022	J	`jnl`	The Emerging Trends of Multi-Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. Weiwei Liu, Haobo Wang, Xiaobo Shen, Ivor W. Tsang
2022	J	`jnl`	Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation. IEEE Trans. Intell. Transp. Syst. Liang Feng, Yuxiao Huang, Ivor W. Tsang, Abhishek Gupta, Ke Tang, Kay Chen Tan, Yew-Soon Ong
2022	J	`jnl`	Understand Me, if You Refer to Aspect Knowledge: Knowledge-Aware Gated Recurrent Memory Network. IEEE Trans. Emerg. Top. Comput. Intell. Bowen Xing, Ivor W. Tsang
2022	J	`jnl`	When an Active Learner Meets a Black-box Teacher. CoRR Xiaofeng Cao, Yaming Guo, Tieru Wu, Ivor W. Tsang
2022	J	`jnl`	XAI Beyond Classification: Interpretable Neural Clustering. J. Mach. Learn. Res. Xi Peng, Yunfan Li, Ivor W. Tsang, Hongyuan Zhu, Jiancheng Lv, Joey Tianyi Zhou
2021	J	`jnl`	A Multi-view Multi-task Learning Framework for Multi-variate Time Series Forecasting. CoRR Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang
2021	C	`ed.`	Asian Conference on Machine Learning, ACML 2021, 17-19 November 2021, Virtual Event. ACML Vineeth N. Balasubramanian, Ivor W. Tsang
2021	J	`jnl`	Bayesian Active Learning by Disagreements: A Geometric Perspective. CoRR Xiaofeng Cao, Ivor W. Tsang
2021	—	`conf`	Black-Box Optimizer with Stochastic Implicit Natural Gradient. ECML/PKDD (3) Yueming Lyu, Ivor W. Tsang
2021	A*	`conf`	CDD: Multi-view Subspace Clustering via Cross-view Diversity Detection. ACM Multimedia Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu
2021	J	`jnl`	Complementary Attributes: A New Clue to Zero-Shot Learning. IEEE Trans. Cybern. Xiaofeng Xu, Ivor W. Tsang, Chuancai Liu
2021	J	`jnl`	Contrastive Conditional Transport for Representation Learning. CoRR Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou
2021	J	`jnl`	Differential-Critic GAN: Generating What You Want by a Cue of Preferences. CoRR Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao
2021	J	`jnl`	Distribution Matching for Machine Teaching. CoRR Xiaofeng Cao, Ivor W. Tsang
2021	J	`jnl`	Edge but not Least: Cross-View Graph Pooling. CoRR Xiaowei Zhou, Jie Yin, Ivor W. Tsang
2021	J	`jnl`	Face Hallucination With Finishing Touches. IEEE Trans. Image Process. Yang Zhang, Ivor W. Tsang, Jun Li, Ping Liu, Xiaobo Lu, Xin Yu
2021	J	`jnl`	Generative Transition Mechanism to Image-to-Image Translation via Encoded Transformation. CoRR Yaxin Shi, Xiaowei Zhou, Ping Liu, Ivor W. Tsang
2021	—	`conf`	Human-Understandable Decision Making for Visual Recognition. PAKDD (3) Xiaowei Zhou, Jie Yin, Ivor W. Tsang, Chen Wang
2021	J	`jnl`	Human-Understandable Decision Making for Visual Recognition. CoRR Xiaowei Zhou, Jie Yin, Ivor W. Tsang, Chen Wang
2021	J	`jnl`	Imitation Learning: Progress, Taxonomies and Opportunities. CoRR Boyuan Zheng, Sunny Verma, Jianlong Zhou, Ivor W. Tsang, Fang Chen
2021	J	`jnl`	Neural Optimization Kernel: Towards Robust Deep Learning. CoRR Yueming Lyu, Ivor W. Tsang
2021	J	`jnl`	Online Mental Fatigue Monitoring via Indirect Brain Dynamics Evaluation. Neural Comput. Yuangang Pan, Ivor W. Tsang, Yueming Lyu, Avinash Kumar Singh, Chin-Teng Lin
2021	J	`jnl`	Online Multi-Agent Forecasting with Interpretable Collaborative Graph Neural Network. CoRR Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang
2021	J	`jnl`	Out of Context: A New Clue for Context Modeling of Aspect-based Sentiment Analysis. CoRR Bowen Xing, Ivor W. Tsang
2021	J	`jnl`	Privacy-Preserving Stochastic Gradual Learning. IEEE Trans. Knowl. Data Eng. Bo Han, Ivor W. Tsang, Xiaokui Xiao, Ling Chen, Sai-Fu Fung, Celina Ping Yu
2021	A*	`conf`	ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting. KDD Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang
2021	J	`jnl`	TRIP: Refining Image-to-Image Translation via Rival Preferences. CoRR Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao
2021	J	`jnl`	Taming Overconfident Prediction on Unlabeled Data from Hindsight. CoRR Jing Li, Yuangang Pan, Ivor W. Tsang
2021	J	`jnl`	The Pulse of Urban Transport: Exploring the Co-evolving Pattern for Spatio-temporal Forecasting. ACM Trans. Knowl. Discov. Data Jinliang Deng, Xiusi Chen, Zipei Fan, Renhe Jiang, Xuan Song, Ivor W. Tsang
2021	J	`jnl`	Understand me, if you refer to Aspect Knowledge: Knowledge-aware Gated Recurrent Memory Network. CoRR Bowen Xing, Ivor W. Tsang
2020	J	`jnl`	A Survey of Label-noise Representation Learning: Past, Present and Future. CoRR Bo Han, Quanming Yao, Tongliang Liu, Gang Niu, Ivor W. Tsang, James T. Kwok, Masashi Sugiyama
2020	C	`conf`	An Empirical Study of Code Deobfuscations on Detecting Obfuscated Android Piggybacked Apps. APSEC Yanxin Zhang, Guanping Xiao, Zheng Zheng, Tianqing Zhu, Ivor W. Tsang, Yulei Sui
2020	J	`jnl`	Auto-weighted multi-view co-clustering with bipartite graphs. Inf. Sci. Shudong Huang, Zenglin Xu, Ivor W. Tsang, Zhao Kang
2020	J	`jnl`	Collaborative Generative Hashing for Marketing and Fast Cold-Start Recommendation. IEEE Intell. Syst. Yan Zhang, Ivor W. Tsang, Lixin Duan
2020	J	`jnl`	Collaborative Generative Hashing for Marketing and Fast Cold-start Recommendation. CoRR Yan Zhang, Ivor W. Tsang, Lixin Duan
2020	A*	`conf`	Copy and Paste GAN: Face Hallucination From Shaded Thumbnails. CVPR Yang Zhang, Ivor W. Tsang, Yawei Luo, Chang-Hui Hu, Xiaobo Lu, Xin Yu
2020	J	`jnl`	Copy and Paste GAN: Face Hallucination from Shaded Thumbnails. CoRR Yang Zhang, Ivor W. Tsang, Yawei Luo, Changhui Hu, Xiaobo Lu, Xin Yu
2020	A*	`conf`	Curriculum Loss: Robust Learning and Generalization against Label Corruption. ICLR Yueming Lyu, Ivor W. Tsang
2020	J	`jnl`	Deep N-ary Error Correcting Output Codes. CoRR Hao Zhang, Joey Tianyi Zhou, Tianying Wang, Ivor W. Tsang, Rick Siow Mong Goh
2020	J	`jnl`	Deep Pairwise Hashing for Cold-start Recommendation. CoRR Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li
2020	J	`jnl`	Face Hallucination with Finishing Touches. CoRR Yang Zhang, Ivor W. Tsang, Jun Li, Ping Liu, Xiaobo Lu, Xin Yu
2020	J	`jnl`	Familial Clustering for Weakly-Labeled Android Malware Using Hybrid Representation Learning. IEEE Trans. Inf. Forensics Secur. Yanxin Zhang, Yulei Sui, Shirui Pan, Zheng Zheng, Baodi Ning, Ivor W. Tsang, Wanlei Zhou
2020	J	`jnl`	Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study. IEEE Trans. Knowl. Data Eng. Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Qinfeng Shi, Chengqi Zhang
2020	A*	`conf`	Graph Cross Networks with Vertex Infomax Pooling. NeurIPS Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang
2020	J	`jnl`	Graph Cross Networks with Vertex Infomax Pooling. CoRR Maosen Li, Siheng Chen, Ya Zhang, Ivor W. Tsang
2020	J	`jnl`	Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications. IEEE Trans. Neural Networks Learn. Syst. Weiwei Liu, Xiaobo Shen, Yew-Soon Ong, Ivor W. Tsang, Chen Gong, Vladimir Pavlovic
2020	A*	`conf`	I/O Efficient Approximate Nearest Neighbour Search based on Learned Functions. ICDE Mingjie Li, Ying Zhang, Yifang Sun, Wei Wang, Ivor W. Tsang, Xuemin Lin
2020	J	`jnl`	Improving Generalization via Attribute Selection on Out-of-the-Box Data. Neural Comput. Xiaofeng Xu, Ivor W. Tsang, Chuancai Liu
2020	A*	`conf`	Intrinsic Reward Driven Imitation Learning via Generative Model. ICML Xingrui Yu, Yueming Lyu, Ivor W. Tsang
2020	J	`jnl`	Intrinsic Reward Driven Imitation Learning via Generative Model. CoRR Xingrui Yu, Yueming Lyu, Ivor W. Tsang
2020	J	`jnl`	Large Margin Partial Label Machine. IEEE Trans. Neural Networks Learn. Syst. Jing Chai, Ivor W. Tsang, Weijie Chen
2020	J	`jnl`	Learning Robust Node Representations on Graphs. CoRR Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan
2020	J	`jnl`	Learning on Attribute-Missing Graphs. CoRR Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang
2020	J	`jnl`	Multi-view Alignment and Generation in CCA via Consistent Latent Encoding. CoRR Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang
2020	J	`jnl`	Multiview Alignment and Generation in CCA via Consistent Latent Encoding. Neural Comput. Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang
2020	A*	`conf`	SIGUA: Forgetting May Make Learning with Noisy Labels More Robust. ICML Bo Han, Gang Niu, Xingrui Yu, Quanming Yao, Miao Xu, Ivor W. Tsang, Masashi Sugiyama
2020	J	`jnl`	Secure Metric Learning via Differential Pairwise Privacy. CoRR Jing Li, Yuangang Pan, Yulei Sui, Ivor W. Tsang
2020	J	`jnl`	Secure Metric Learning via Differential Pairwise Privacy. IEEE Trans. Inf. Forensics Secur. Jing Li, Yuangang Pan, Yulei Sui, Ivor W. Tsang
2020	J	`jnl`	Stochastic Multichannel Ranking with Brain Dynamics Preferences. Neural Comput. Yuangang Pan, Ivor W. Tsang, Avinash Kumar Singh, Chin-Teng Lin, Masashi Sugiyama
2020	A*	`conf`	Subgroup-based Rank-1 Lattice Quasi-Monte Carlo. NeurIPS Yueming Lyu, Yuan Yuan, Ivor W. Tsang
2020	J	`jnl`	Subgroup-based Rank-1 Lattice Quasi-Monte Carlo. CoRR Yueming Lyu, Yuan Yuan, Ivor W. Tsang
2020	J	`jnl`	Survey on Multi-Output Learning. IEEE Trans. Neural Networks Learn. Syst. Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen
2020	J	`jnl`	The Emerging Trends of Multi-Label Learning. CoRR Weiwei Liu, Xiaobo Shen, Haobo Wang, Ivor W. Tsang
2020	J	`jnl`	Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation. CoRR Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan, Jingchao Su
2020	J	`jnl`	Towards Sharper First-Order Adversary with Quantized Gradients. CoRR Zhuanghua Liu, Ivor W. Tsang
2020	J	`jnl`	Unseen Land Cover Classification from High-Resolution Orthophotos Using Integration of Zero-Shot Learning and Convolutional Neural Networks. Remote. Sens. Biswajeet Pradhan, Husam Abdulrasool H. Al-Najjar, Maher Ibrahim Sameen, Ivor W. Tsang, Abdullah M. Alamri
2020	J	`jnl`	VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning. IEEE Trans. Knowl. Data Eng. Fanhua Shang, Kaiwen Zhou, Hongying Liu, James Cheng, Ivor W. Tsang, Lijun Zhang, Dacheng Tao, Licheng Jiao
2019	J	`jnl`	A Data-Analytics Approach for Enterprise Resilience. IEEE Intell. Syst. Donna Xu, Ivor W. Tsang, Eng K. Chew, Cosimo Siclari, Varun Kaul
2019	J	`jnl`	A Survey on Multi-output Learning. CoRR Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen
2019	J	`jnl`	A deep learning framework for Hybrid Heterogeneous Transfer Learning. Artif. Intell. Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang
2019	J	`jnl`	Auto-weighted multi-view clustering via kernelized graph learning. Pattern Recognit. Shudong Huang, Zhao Kang, Ivor W. Tsang, Zenglin Xu
2019	J	`jnl`	Beyond Majority Voting: A Coarse-to-Fine Label Filtration for Heavily Noisy Labels. IEEE Trans. Neural Networks Learn. Syst. Bo Han, Ivor W. Tsang, Ling Chen, Joey Tianyi Zhou, Celina Ping Yu
2019	J	`jnl`	Curriculum Loss: Robust Learning and Generalization against Label Corruption. CoRR Yueming Lyu, Ivor W. Tsang
2019	J	`jnl`	Deep Learning From Noisy Image Labels With Quality Embedding. IEEE Trans. Image Process. Jiangchao Yao, Jiajie Wang, Ivor W. Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang
2019	J	`jnl`	Domain-adversarial Network Alignment. CoRR Huiting Hong, Xin Li, Yuangang Pan, Ivor W. Tsang
2019	J	`jnl`	Efficient Batch Black-box Optimization with Deterministic Regret Bounds. CoRR Yueming Lyu, Yuan Yuan, Ivor W. Tsang
2019	J	`jnl`	Error Correcting Input and Output Hashing. IEEE Trans. Cybern. Chao Ma, Ivor W. Tsang, Fumin Shen, Chuancai Liu
2019	J	`jnl`	Fast and Robust Rank Aggregation against Model Misspecification. CoRR Yuangang Pan, Weijie Chen, Gang Niu, Ivor W. Tsang, Masashi Sugiyama
2019	A*	`conf`	How does Disagreement Help Generalization against Label Corruption? ICML Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama
2019	J	`jnl`	How does Disagreement Help Generalization against Label Corruption? CoRR Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama
2019	J	`jnl`	Hyperspectral Imagery Classification via Stochastic HHSVMs. IEEE Trans. Image Process. Weiwei Liu, Xiaobo Shen, Bo Du, Ivor W. Tsang, Wenjie Zhang, Xuemin Lin
2019	J	`jnl`	Improving Generalization via Attribute Selection on Out-of-the-box Data. CoRR Xiaofeng Xu, Ivor W. Tsang, Chuancai Liu
2019	A*	`conf`	Label Embedding with Partial Heterogeneous Contexts. AAAI Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang, Shirui Pan
2019	J	`jnl`	Late Fusion via Subspace Search With Consistency Preservation. IEEE Trans. Image Process. Xuanyi Dong, Yan Yan, Mingkui Tan, Yi Yang, Ivor W. Tsang
2019	J	`jnl`	Latent Adversarial Defence with Boundary-guided Generation. CoRR Xiaowei Zhou, Ivor W. Tsang, Jie Yin
2019	A*	`conf`	Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation. IJCAI Xiaofeng Xu, Ivor W. Tsang, Xiaofeng Cao, Ruiheng Zhang, Chuancai Liu
2019	J	`jnl`	Learning Image-Specific Attributes by Hyperbolic Neighborhood Graph Propagation. CoRR Xiaofeng Xu, Ivor W. Tsang, Xiaofeng Cao, Ruiheng Zhang, Chuancai Liu
2019	A	`conf`	Long-short Distance Aggregation Networks for Positive Unlabeled Graph Learning. CIKM Man Wu, Shirui Pan, Lan Du, Ivor W. Tsang, Xingquan Zhu, Bo Du
2019	—	`conf`	Marginalized Average Attentional Network for Weakly-Supervised Learning. ICLR (Poster) Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung
2019	J	`jnl`	Marginalized Average Attentional Network for Weakly-Supervised Learning. CoRR Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang, Dit-Yan Yeung
2019	J	`jnl`	Metric Learning for Multi-Output Tasks. IEEE Trans. Pattern Anal. Mach. Intell. Weiwei Liu, Donna Xu, Ivor W. Tsang, Wenjie Zhang
2019	J	`jnl`	Millionaire: a hint-guided approach for crowdsourcing. Mach. Learn. Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama
2019	J	`jnl`	Multi-class Heterogeneous Domain Adaptation. J. Mach. Learn. Res. Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, Mingkui Tan
2019	J	`jnl`	N-ary decomposition for multi-class classification. Mach. Learn. Joey Tianyi Zhou, Ivor W. Tsang, Shen-Shyang Ho, Klaus-Robert Müller
2019	J	`jnl`	Node Attribute Generation on Graphs. CoRR Xu Chen, Siheng Chen, Huangjie Zheng, Jiangchao Yao, Kenan Cui, Ya Zhang, Ivor W. Tsang
2019	J	`jnl`	Probabilistic CCA with Implicit Distributions. CoRR Yaxin Shi, Yuangang Pan, Donna Xu, Ivor W. Tsang
2019	—	`conf`	Rectified Encoder Network for High-Dimensional Imbalanced Learning. PRICAI (2) Tao Zheng, Wei-Jie Chen, Ivor W. Tsang, Xin Yao
2019	A*	`conf`	Safeguarded Dynamic Label Regression for Noisy Supervision. AAAI Jiangchao Yao, Hao Wu, Ya Zhang, Ivor W. Tsang, Jun Sun
2019	J	`jnl`	Stochastic Implicit Natural Gradient for Black-box Optimization. CoRR Yueming Lyu, Ivor W. Tsang
2019	—	`conf`	Support Matching: A Novel Regularization to Escape from Mode Collapse in GANs. ICONIP (4) Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao
2019	A*	`conf`	Understanding VAEs in Fisher-Shannon Plane. AAAI Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jia Wang
2019	J	`jnl`	Well-M IEEE Trans. Emerg. Top. Comput. Intell. Shaukat R. Abidi, Massimo Piccardi, Ivor W. Tsang, Mary-Anne Williams
2018	J	`jnl`	'Who Likes What and, Why?' Insights into Modeling Users' Personality Based on Image 'Likes'. IEEE Trans. Affect. Comput. Sharath Chandra Guntuku, Joey Tianyi Zhou, Sujoy Roy, Weisi Lin, Ivor W. Tsang
2018	—	`conf`	An Efficient Exact Nearest Neighbor Search by Compounded Embedding. DASFAA (1) Mingjie Li, Ying Zhang, Yifang Sun, Wei Wang, Ivor W. Tsang, Xuemin Lin
2018	J	`jnl`	Co-sampling: Training Robust Networks for Extremely Noisy Supervision. CoRR Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor W. Tsang, Masashi Sugiyama
2018	A*	`conf`	Co-teaching: Robust training of deep neural networks with extremely noisy labels. NeurIPS Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor W. Tsang, Masashi Sugiyama
2018	A*	`conf`	Compact Multi-Label Learning. AAAI Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong
2018	A*	`conf`	Deep Discrete Prototype Multilabel Learning. IJCAI Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor W. Tsang
2018	J	`jnl`	Degeneration in VAE: in the Light of Fisher Information Loss. CoRR Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang
2018	A*	`conf`	Discrete Ranking-based Matrix Factorization with Self-Paced Learning. KDD Yan Zhang, Haoyu Wang, Defu Lian, Ivor W. Tsang, Hongzhi Yin, Guowu Yang
2018	A*	`conf`	Doubly Approximate Nearest Neighbor Classification. AAAI Weiwei Liu, Zhuanghua Liu, Ivor W. Tsang, Wenjie Zhang, Xuemin Lin
2018	A*	`conf`	High-order Proximity Preserving Information Network Hashing. KDD Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, Xing Xie
2018	A*	`conf`	Masking: A New Perspective of Noisy Supervision. NeurIPS Bo Han, Jiangchao Yao, Gang Niu, Mingyuan Zhou, Ivor W. Tsang, Ya Zhang, Masashi Sugiyama
2018	J	`jnl`	Masking: A New Perspective of Noisy Supervision. CoRR Bo Han, Jiangchao Yao, Gang Niu, Mingyuan Zhou, Ivor W. Tsang, Ya Zhang, Masashi Sugiyama
2018	J	`jnl`	Matrix Co-completion for Multi-label Classification with Missing Features and Labels. CoRR Miao Xu, Gang Niu, Bo Han, Ivor W. Tsang, Zhi-Hua Zhou, Masashi Sugiyama
2018	J	`jnl`	Millionaire: A Hint-guided Approach for Crowdsourcing. CoRR Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama
2018	J	`jnl`	Multi-Context Label Embedding. CoRR Yaxin Shi, Donna Xu, Yuangang Pan, Ivor W. Tsang
2018	J	`jnl`	Multilabel Prediction via Cross-View Search. IEEE Trans. Neural Networks Learn. Syst. Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong
2018	J	`jnl`	Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions. IEEE Trans. Neural Networks Learn. Syst. Yuguang Yan, Qingyao Wu, Mingkui Tan, Michael K. Ng, Huaqing Min, Ivor W. Tsang
2018	J	`jnl`	Online Product Quantization. IEEE Trans. Knowl. Data Eng. Donna Xu, Ivor W. Tsang, Ying Zhang
2018	J	`jnl`	Privacy-preserving Stochastic Gradual Learning. CoRR Bo Han, Ivor W. Tsang, Xiaokui Xiao, Ling Chen, Sai-Fu Fung, Celina Ping Yu
2018	J	`jnl`	Progressive Stochastic Learning for Noisy Labels. IEEE Trans. Neural Networks Learn. Syst. Bo Han, Ivor W. Tsang, Ling Chen, Celina Ping Yu, Sai-Fu Fung
2018	J	`jnl`	Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels. CoRR Bo Han, Gang Niu, Jiangchao Yao, Xingrui Yu, Miao Xu, Ivor W. Tsang, Masashi Sugiyama
2018	J	`jnl`	Robust Plackett-Luce model for k-ary crowdsourced preferences. Mach. Learn. Bo Han, Yuangang Pan, Ivor W. Tsang
2018	A*	`conf`	SC2Net: Sparse LSTMs for Sparse Coding. AAAI Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor W. Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh
2018	J	`jnl`	Stagewise learning for noisy k-ary preferences. Mach. Learn. Yuangang Pan, Bo Han, Ivor W. Tsang
2018	B	`conf`	Towards the Learning of Weighted Multi-label Associative Classifiers. IJCNN Chunyang Liu, Ling Chen, Ivor W. Tsang, Hongzhi Yin
2018	J	`jnl`	Understanding VAEs in Fisher-Shannon Plane. CoRR Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang
2018	J	`jnl`	VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning. CoRR Fanhua Shang, Kaiwen Zhou, James Cheng, Ivor W. Tsang, Lijun Zhang, Dacheng Tao
2018	J	`jnl`	Variational Composite Autoencoders. CoRR Jiangchao Yao, Ivor W. Tsang, Ya Zhang
2018	J	`jnl`	Zero-shot Learning with Complementary Attributes. CoRR Xiaofeng Xu, Ivor W. Tsang, Chuancai Liu
2017	J	`jnl`	A unified probabilistic framework for robust manifold learning and embedding. Mach. Learn. Qi Mao, Li Wang, Ivor W. Tsang
2017	J	`jnl`	An Easy-to-hard Learning Paradigm for Multiple Classes and Multiple Labels. J. Mach. Learn. Res. Weiwei Liu, Ivor W. Tsang, Klaus-Robert Müller
2017	A*	`conf`	Approximate Conditional Gradient Descent on Multi-Class Classification. AAAI Zhuanghua Liu, Ivor W. Tsang
2017	A	`conf`	Compact Multiple-Instance Learning. CIKM Jing Chai, Weiwei Liu, Ivor W. Tsang, Xiao-Bo Shen
2017	A*	`conf`	Compressed K-Means for Large-Scale Clustering. AAAI Xiao-Bo Shen, Weiwei Liu, Ivor W. Tsang, Fumin Shen, Quan-Sen Sun
2017	J	`jnl`	Deep Learning from Noisy Image Labels with Quality Embedding. CoRR Jiangchao Yao, Jiajie Wang, Ivor W. Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang
2017	—	`conf`	Discovering User Interests from Social Images. MMM (2) Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jun Sun
2017	A*	`conf`	Latent Smooth Skeleton Embedding. AAAI Li Wang, Qi Mao, Ivor W. Tsang
2017	J	`jnl`	Making Decision Trees Feasible in Ultrahigh Feature and Label Dimensions. J. Mach. Learn. Res. Weiwei Liu, Ivor W. Tsang
2017	J	`jnl`	Online Product Quantization. CoRR Donna Xu, Ivor W. Tsang, Ying Zhang
2017	J	`jnl`	Partial Hash Update via Hamming Subspace Learning. IEEE Trans. Image Process. Chao Ma, Ivor W. Tsang, Furong Peng, Chuancai Liu
2017	J	`jnl`	Principal Graph and Structure Learning Based on Reversed Graph Embedding. IEEE Trans. Pattern Anal. Mach. Intell. Qi Mao, Li Wang, Ivor W. Tsang, Yijun Sun
2017	—	`conf`	Sparse Embedded k-Means Clustering. NIPS Weiwei Liu, Xiao-Bo Shen, Ivor W. Tsang
2016	J	`jnl`	Co-Labeling for Multi-View Weakly Labeled Learning. IEEE Trans. Pattern Anal. Mach. Intell. Xinxing Xu, Wen Li, Dong Xu, Ivor W. Tsang
2016	J	`jnl`	DEFEATnet - A Deep Conventional Image Representation for Image Classification. IEEE Trans. Circuits Syst. Video Technol. Shenghua Gao, Lixin Duan, Ivor W. Tsang
2016	A*	`conf`	Inferring Latent Network from Cascade Data for Dynamic Social Recommendation. ICDM Qin Zhang, Jia Wu, Peng Zhang, Guodong Long, Ivor W. Tsang, Chengqi Zhang
2016	A*	`conf`	Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data. AAAI Mingkui Tan, Yan Yan, Li Wang, Anton van den Hengel, Ivor W. Tsang, Qinfeng (Javen) Shi
2016	J	`jnl`	Learning word dependencies in text by means of a deep recurrent belief network. Knowl. Based Syst. Iti Chaturvedi, Yew-Soon Ong, Ivor W. Tsang, Roy E. Welsch, Erik Cambria
2016	J	`jnl`	Making Trillion Correlations Feasible in Feature Grouping and Selection. IEEE Trans. Pattern Anal. Mach. Intell. Yiteng Zhai, Yew-Soon Ong, Ivor W. Tsang
2016	J	`jnl`	N-ary Error Correcting Coding Scheme. CoRR Joey Tianyi Zhou, Ivor W. Tsang, Shen-Shyang Ho, Klaus-Robert Müller
2016	J	`jnl`	On the Convergence of A Family of Robust Losses for Stochastic Gradient Descent. CoRR Bo Han, Ivor W. Tsang, Ling Chen
2016	—	`conf`	On the Convergence of a Family of Robust Losses for Stochastic Gradient Descent. ECML/PKDD (1) Bo Han, Ivor W. Tsang, Ling Chen
2016	A*	`conf`	Robust Semi-Supervised Learning through Label Aggregation. AAAI Yan Yan, Zhongwen Xu, Ivor W. Tsang, Guodong Long, Yi Yang
2016	J	`jnl`	Simple and Efficient Learning using Privileged Information. CoRR Xinxing Xu, Joey Tianyi Zhou, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh, Yong Liu
2016	A*	`conf`	Sparse Perceptron Decision Tree for Millions of Dimensions. AAAI Weiwei Liu, Ivor W. Tsang
2016	A*	`conf`	Transfer Hashing with Privileged Information. IJCAI Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh
2016	J	`jnl`	Transfer Hashing with Privileged Information. CoRR Joey Tianyi Zhou, Xinxing Xu, Sinno Jialin Pan, Ivor W. Tsang, Zheng Qin, Rick Siow Mong Goh
2016	A*	`conf`	Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction. AAAI Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Shen-Shyang Ho
2016	J	`jnl`	Understanding Deep Representations Learned in Modeling Users Likes. IEEE Trans. Image Process. Sharath Chandra Guntuku, Joey Tianyi Zhou, Sujoy Roy, Weisi Lin, Ivor W. Tsang
2015	J	`jnl`	A Novel Regularized Principal Graph Learning Framework on Explicit Graph Representation. CoRR Qi Mao, Li Wang, Ivor W. Tsang, Yijun Sun
2015	J	`jnl`	A Unified Feature Selection Framework for Graph Embedding on High Dimensional Data. IEEE Trans. Knowl. Data Eng. Marcus Chen, Ivor W. Tsang, Mingkui Tan, Cham Tat Jen
2015	A	`conf`	Defragging Subgraph Features for Graph Classification. CIKM Haishuai Wang, Peng Zhang, Ivor W. Tsang, Ling Chen, Chengqi Zhang
2015	A*	`conf`	Effectively Predicting Whether and When a Topic Will Become Prevalent in a Social Network. AAAI Weiwei Liu, Zhi-Hong Deng, Xiuwen Gong, Frank Jiang, Ivor W. Tsang
2015	J	`jnl`	Generalized Multiple Kernel Learning With Data-Dependent Priors. IEEE Trans. Neural Networks Learn. Syst. Qi Mao, Ivor W. Tsang, Shenghua Gao, Li Wang
2015	A*	`conf`	Large Margin Metric Learning for Multi-Label Prediction. AAAI Weiwei Liu, Ivor W. Tsang
2015	J	`jnl`	Matching Pursuit LASSO Part I: Sparse Recovery Over Big Dictionary. IEEE Trans. Signal Process. Mingkui Tan, Ivor W. Tsang, Li Wang
2015	J	`jnl`	Matching Pursuit LASSO Part II: Applications and Sparse Recovery Over Batch Signals. IEEE Trans. Signal Process. Mingkui Tan, Ivor W. Tsang, Li Wang
2015	J	`jnl`	Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems. Memetic Comput. Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor W. Tsang
2015	J	`jnl`	Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP. IEEE Trans. Evol. Comput. Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Ivor W. Tsang
2015	Misc	`conf`	Objects co-segmentation: Propagated from simpler images. ICASSP Marcus Chen, Santiago Velasco-Forero, Ivor W. Tsang, Tat-Jen Cham
2015	—	`conf`	On the Optimality of Classifier Chain for Multi-label Classification. NIPS Weiwei Liu, Ivor W. Tsang
2015	A*	`conf`	Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search. IJCAI Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Chengqi Zhang, Qinfeng Shi
2014	—	`conf`	Deep Representations to Model User 'Likes'. ACCV (1) Sharath Chandra Guntuku, Joey Tianyi Zhou, Sujoy Roy, Weisi Lin, Ivor W. Tsang
2014	A*	`conf`	Event Detection Using Multi-level Relevance Labels and Multiple Features. CVPR Zhongwen Xu, Ivor W. Tsang, Yi Yang, Zhigang Ma, Alexander G. Hauptmann
2014	A	`conf`	Heterogeneous Domain Adaptation for Multiple Classes. AISTATS Joey Tianyi Zhou, Ivor W. Tsang, Sinno Jialin Pan, Mingkui Tan
2014	A*	`conf`	Hybrid Heterogeneous Transfer Learning through Deep Learning. AAAI Joey Tianyi Zhou, Sinno Jialin Pan, Ivor W. Tsang, Yan Yan
2014	J	`jnl`	Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. Wen Li, Lixin Duan, Dong Xu, Ivor W. Tsang
2014	A*	`conf`	Riemannian Pursuit for Big Matrix Recovery. ICML Mingkui Tan, Ivor W. Tsang, Li Wang, Bart Vandereycken, Sinno Jialin Pan
2014	—	`conf`	Robust Domain Adaptation for Relation Extraction via Clustering Consistency. ACL (1) Minh Luan Nguyen, Ivor W. Tsang, Kian Ming Adam Chai, Hai Leong Chieu
2014	J	`jnl`	The Emerging ?Big Dimensionality? IEEE Comput. Intell. Mag. Yiteng Zhai, Yew-Soon Ong, Ivor W. Tsang
2014	J	`jnl`	Towards ultrahigh dimensional feature selection for big data. J. Mach. Learn. Res. Mingkui Tan, Ivor W. Tsang, Li Wang
2013	J	`jnl`	Combating Negative Transfer From Predictive Distribution Differences. IEEE Trans. Cybern. Chun-Wei Seah, Yew-Soon Ong, Ivor W. Tsang
2013	J	`jnl`	Convex and Scalable Weakly Labeled SVMs CoRR Yufeng Li, Ivor W. Tsang, James T. Kwok, Zhi-Hua Zhou
2013	J	`jnl`	Convex and scalable weakly labeled SVMs. J. Mach. Learn. Res. Yufeng Li, Ivor W. Tsang, James T. Kwok, Zhi-Hua Zhou
2013	J	`jnl`	Discovering Low-Rank Shared Concept Space for Adapting Text Mining Models. IEEE Trans. Pattern Anal. Mach. Intell. Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong
2013	J	`jnl`	Efficient Optimization of Performance Measures by Classifier Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. Nan Li, Ivor W. Tsang, Zhi-Hua Zhou
2013	A*	`conf`	Feature Weighting via Optimal Thresholding for Video Analysis. ICCV Zhongwen Xu, Yi Yang, Ivor W. Tsang, Nicu Sebe, Alexander G. Hauptmann
2013	J	`jnl`	Is Matching Pursuit Solving Convex Problems? CoRR Mingkui Tan, Ivor W. Tsang, Li Wang
2013	J	`jnl`	Minimax Sparse Logistic Regression for Very High-Dimensional Feature Selection. IEEE Trans. Neural Networks Learn. Syst. Mingkui Tan, Ivor W. Tsang, Li Wang
2013	J	`jnl`	Soft Margin Multiple Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. Xinxing Xu, Ivor W. Tsang, Dong Xu
2013	J	`jnl`	Transfer Ordinal Label Learning. IEEE Trans. Neural Networks Learn. Syst. Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong
2012	A*	`conf`	A Split-Merge Framework for Comparing Clusterings. ICML Qiaoliang Xiang, Qi Mao, Kian Ming Adam Chai, Hai Leong Chieu, Ivor W. Tsang, Zhendong Zhao
2012	A*	`conf`	Convex Matching Pursuit for Large-Scale Sparse Coding and Subset Selection. AAAI Mingkui Tan, Ivor W. Tsang, Li Wang, Xinming Zhang
2012	A*	`conf`	Discovering Support and Affiliated Features from Very High Dimensions. ICML Yiteng Zhai, Mingkui Tan, Ivor W. Tsang, Yew-Soon Ong
2012	J	`jnl`	Domain Transfer Multiple Kernel Learning. IEEE Trans. Pattern Anal. Mach. Intell. Lixin Duan, Ivor W. Tsang, Dong Xu
2012	—	`conf`	Efficient Discriminative Learning of Class Hierarchy for Many Class Prediction. ACCV (1) Lin Chen, Lixin Duan, Ivor W. Tsang, Dong Xu
2012	A*	`conf`	Handling Ambiguity via Input-Output Kernel Learning. ICDM Xinxing Xu, Ivor W. Tsang, Dong Xu
2012	J	`jnl`	Hierarchical Maximum Margin Learning for Multi-Class Classification CoRR Jian-Bo Yang, Ivor W. Tsang
2012	J	`jnl`	Laplacian Embedded Regression for Scalable Manifold Regularization. IEEE Trans. Neural Networks Learn. Syst. Lin Chen, Ivor W. Tsang, Dong Xu
2012	J	`jnl`	Learning with Augmented Features for Heterogeneous Domain Adaptation CoRR Lixin Duan, Dong Xu, Ivor W. Tsang
2012	A*	`conf`	Learning with Augmented Features for Heterogeneous Domain Adaptation. ICML Lixin Duan, Dong Xu, Ivor W. Tsang
2012	C	`conf`	Multi-view Positive and Unlabeled Learning. ACML Joey Tianyi Zhou, Sinno Jialin Pan, Qi Mao, Ivor W. Tsang
2012	J	`jnl`	Parameter-Free Spectral Kernel Learning CoRR Qi Mao, Ivor W. Tsang
2012	B	`conf`	Pareto Rank Learning in Multi-objective Evolutionary Algorithms. IEEE Congress on Evolutionary Computation Chun-Wei Seah, Yew-Soon Ong, Ivor W. Tsang, Siwei Jiang
2012	J	`jnl`	Relevance vector machine based infinite decision agent ensemble learning for credit risk analysis. Expert Syst. Appl. Shukai Li, Ivor W. Tsang, Narendra S. Chaudhari
2012	J	`jnl`	Tag-Based Image Retrieval Improved by Augmented Features and Group-Based Refinement. IEEE Trans. Multim. Lin Chen, Dong Xu, Ivor W. Tsang, Jiebo Luo
2012	J	`jnl`	Towards Large-scale and Ultrahigh Dimensional Feature Selection via Feature Generation CoRR Mingkui Tan, Ivor W. Tsang, Li Wang
2012	J	`jnl`	Transductive Ordinal Regression. IEEE Trans. Neural Networks Learn. Syst. Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong
2011	J	`jnl`	A Family of Simple Non-Parametric Kernel Learning Algorithms. J. Mach. Learn. Res. Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi
2011	J	`jnl`	A Feature Selection Method for Multivariate Performance Measures CoRR Qi Mao, Ivor W. Tsang
2011	J	`jnl`	A Hybrid PSO-BFGS Strategy for Global Optimization of Multimodal Functions. IEEE Trans. Syst. Man Cybern. Part B Shutao Li, Mingkui Tan, Ivor W. Tsang, James Tin-Yau Kwok
2011	J	`jnl`	Domain Adaptation via Transfer Component Analysis. IEEE Trans. Neural Networks Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qiang Yang
2011	A	`conf`	Hierarchical Maximum Margin Learning for Multi-Class Classification. UAI Jian-Bo Yang, Ivor W. Tsang
2011	—	`conf`	Infinite Decision Agent Ensemble Learning System for Credit Risk Analysis. ICMLA (1) Shukai Li, Ivor W. Tsang, Narendra S. Chaudhari
2011	C	`conf`	Learning to Locate Relative Outliers. ACML Shukai Li, Ivor W. Tsang
2011	B	`conf`	Maximum Margin/Volume Outlier Detection. ICTAI Shukai Li, Ivor W. Tsang
2011	J	`jnl`	Multiple Template Learning for Structured Prediction CoRR Qi Mao, Ivor W. Tsang
2011	J	`jnl`	Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering. IEEE Trans. Neural Networks Feiping Nie, Zinan Zeng, Ivor W. Tsang, Dong Xu, Changshui Zhang
2011	J	`jnl`	Textual Query of Personal Photos Facilitated by Large-Scale Web Data. IEEE Trans. Pattern Anal. Mach. Intell. Yiming Liu, Dong Xu, Ivor W. Tsang, Jiebo Luo
2011	J	`jnl`	Transductive Ordinal Regression CoRR Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong
2011	A	`conf`	Two-Layer Multiple Kernel Learning. AISTATS Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi
2010	J	`jnl`	Efficiently Learning Nonlinear Classifiers for Domain Specific Performance Measures CoRR Nan Li, Ivor W. Tsang, Zhi-Hua Zhou
2010	J	`jnl`	Incorporating the loss function into discriminative clustering of structured outputs. IEEE Trans. Neural Networks Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. Tsang
2010	A*	`conf`	Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets. ICML Mingkui Tan, Li Wang, Ivor W. Tsang
2010	A*	`conf`	Location and Scatter Matching for Dataset Shift in Text Mining. ICDM Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong
2010	A	`conf`	Parameter-Free Spectral Kernel Learning. UAI Qi Mao, Ivor W. Tsang
2010	—	`conf`	Predictive Distribution Matching SVM for Multi-domain Learning. ECML/PKDD (1) Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong, Gary Kee Khoon Lee
2009	—	`conf`	A Convex Method for Locating Regions of Interest with Multi-instance Learning. ECML/PKDD (2) Yufeng Li, James T. Kwok, Ivor W. Tsang, Zhi-Hua Zhou
2009	A	`conf`	A Semi-Supervised Framework for Feature Mapping and Multiclass Classification. SDM Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong
2009	A*	`conf`	Domain Adaptation via Transfer Component Analysis. IJCAI Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qiang Yang
2009	A*	`conf`	Domain adaptation from multiple sources via auxiliary classifiers. ICML Lixin Duan, Ivor W. Tsang, Dong Xu, Tat-Seng Chua
2009	A*	`conf`	Extracting discriminative concepts for domain adaptation in text mining. KDD Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong
2009	J	`jnl`	Maximum Margin Clustering Made Practical. IEEE Trans. Neural Networks Kai Zhang, Ivor W. Tsang, James T. Kwok
2009	J	`jnl`	Maximum Penalized Likelihood Kernel Regression for Fast Adaptation. IEEE Trans. Speech Audio Process. Brian Kan-Wing Mak, Tsz-Chung Lai, Ivor W. Tsang, James Tin-Yau Kwok
2009	A*	`conf`	SimpleNPKL: simple non-parametric kernel learning. ICML Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi
2009	A*	`conf`	Spectral Embedded Clustering. IJCAI Feiping Nie, Dong Xu, Ivor W. Tsang, Changshui Zhang
2009	A*	`conf`	T-IRS: textual query based image retrieval system for consumer photos. ACM Multimedia Yiming Liu, Dong Xu, Ivor W. Tsang, Jiebo Luo
2009	A	`conf`	Tighter and Convex Maximum Margin Clustering. AISTATS Yufeng Li, Ivor W. Tsang, James Tin-Yau Kwok, Zhi-Hua Zhou
2009	A*	`conf`	Using large-scale web data to facilitate textual query based retrieval of consumer photos. ACM Multimedia Yiming Liu, Dong Xu, Ivor W. Tsang, Jiebo Luo
2008	A*	`conf`	Improved Nyström low-rank approximation and error analysis. ICML Kai Zhang, Ivor W. Tsang, James T. Kwok
2007	A*	`conf`	Ensembles of Partially Trained SVMs with Multiplicative Updates. IJCAI Ivor W. Tsang, James T. Kwok
2007	A*	`conf`	Maximum margin clustering made practical. ICML Kai Zhang, Ivor W. Tsang, James T. Kwok
2007	J	`jnl`	SVDD-Based Pattern Denoising. Neural Comput. Jooyoung Park, Daesung Kang, Jongho Kim, James T. Kwok, Ivor W. Tsang
2007	A*	`conf`	Simpler core vector machines with enclosing balls. ICML Ivor W. Tsang, András Kocsor, James T. Kwok
2006	—	`conf`	Diversified SVM Ensembles for Large Data Sets. ECML Ivor W. Tsang, András Kocsor, James T. Kwok
2006	A*	`conf`	Efficient kernel feature extraction for massive data sets. KDD Ivor W. Tsang, András Kocsor, James T. Kwok
2006	—	`conf`	Fast Speaker Adaption Via Maximum Penalized Likelihood Kernel Regression. ICASSP (1) Ivor W. Tsang, James T. Kwok, Brian Mak, Kai Zhang, Jeffrey Junfeng Pan
2006	—	`conf`	Large-Scale Sparsified Manifold Regularization. NIPS Ivor W. Tsang, James T. Kwok
2006	B	`conf`	Learning the Kernel in Mahalanobis One-Class Support Vector Machines. IJCNN Ivor W. Tsang, James T. Kwok, Shutao Li
2005	J	`jnl`	Core Vector Machines: Fast SVM Training on Very Large Data Sets. J. Mach. Learn. Res. Ivor W. Tsang, James T. Kwok, Pak-Ming Cheung
2005	A*	`conf`	Core Vector Regression for very large regression problems. ICML Ivor W. Tsang, James T. Kwok, Kimo T. Lai
2005	B	`conf`	Position estimation for wireless sensor networks. GLOBECOM Kin Fung Simon Wong, Ivor W. Tsang, Victor Cheung, S.-H. Gary Chan, James T. Kwok
2005	A	`conf`	Very Large SVM Training using Core Vector Machines. AISTATS Ivor W. Tsang, James Tin-Yau Kwok, Pak-Ming Cheung
2004	—	`conf`	Efficient Hyperkernel Learning Using Second-Order Cone Programming. ECML Ivor W. Tsang, James T. Kwok
2004	B	`conf`	Scaling up support vector data description by using core-sets. IJCNN Calvin S. Chu, Ivor W. Tsang, James T. Kwok
2003	A*	`conf`	Learning with Idealized Kernels. ICML James T. Kwok, Ivor W. Tsang
2003	J	`jnl`	Linear dependency between ε and the input noise in ε-support vector regression. IEEE Trans. Neural Networks James T. Kwok, Ivor W. Tsang
2003	A*	`conf`	The Pre-Image Problem in Kernel Methods. ICML James T. Kwok, Ivor W. Tsang