Ivor W. Tsang

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 270

Top Venues

CoRR

IEEE Trans. Neural Networks Learn. Syst.

AAAI

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Feiyang Ye, Yueming Lyu, Xuehao Wang, Yu Zhang, Ivor W. Tsang
Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning. ICLR (2024)
Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor W. Tsang, Yang Liu, Qing Guo
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks. ICLR (2024)
Feiyang Ye, Baijiong Lin, Xiaofeng Cao, Yu Zhang, Ivor W. Tsang
A First-Order Multi-Gradient Algorithm for Multi-Objective Bi-Level Optimization. CoRR (2024)
Maosen Li, Siheng Chen, Yanning Shen, Genjia Liu, Ivor W. Tsang, Ya Zhang
Online Multi-Agent Forecasting With Interpretable Collaborative Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao
PROUD: PaRetO-gUided diffusion model for multi-objective generation. Mach. Learn. 113 (9) (2024)
Feng Hong, Yueming Lyu, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang
Diversified Batch Selection for Training Acceleration. CoRR (2024)
Yueming Lyu, Kim Yong Tan, Yew Soon Ong, Ivor W. Tsang
Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation. CoRR (2024)
Yang He, Lingao Xiao, Joey Tianyi Zhou, Ivor W. Tsang
Multisize Dataset Condensation. ICLR (2024)
Yinghua Yao, Yuangang Pan, Ivor W. Tsang, Xin Yao
Differential-Critic GAN: Generating What You Want by a Cue of Preferences. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Boyuan Zheng, Sunny Verma, Jianlong Zhou, Ivor W. Tsang, Fang Chen
Imitation Learning: Progress, Taxonomies and Challenges. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Feiyang Ye, Baijiong Lin, Zhixiong Yue, Yu Zhang, Ivor W. Tsang
Multi-objective meta-learning. Artif. Intell. 335 (2024)
Yang He, Lingao Xiao, Joey Tianyi Zhou, Ivor W. Tsang
Multisize Dataset Condensation. CoRR (2024)
Hao Di, Haishan Ye, Yueling Zhang, Xiangyu Chang, Guang Dai, Ivor W. Tsang
Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient. CoRR (2024)
Jinliang Deng, Xuan Song, Ivor W. Tsang, Hui Xiong
The Bigger the Better? Rethinking the Effective Model Scale in Long-term Time Series Forecasting. CoRR (2024)
Yanjun Zhao, Sizhe Dang, Haishan Ye, Guang Dai, Yi Qian, Ivor W. Tsang
Second-Order Fine-Tuning without Pain for LLMs: A Hessian Informed Zeroth-Order Optimizer. CoRR (2024)
Ming Yan, Joey Tianyi Zhou, Ivor W. Tsang
Collaborative Knowledge Infusion for Low-resource Stance Detection. CoRR (2024)
Bohao Qu, Xiaofeng Cao, Qing Guo, Yi Chang, Ivor W. Tsang, Chengqi Zhang
Transductive Reward Inference on Graph. CoRR (2024)
Bowen Xing, Ivor W. Tsang
Exploiting Contextual Target Attributes for Target Sentiment Classification. J. Artif. Intell. Res. 80 (2024)
Sensen Gao, Xiaojun Jia, Xuhong Ren, Ivor W. Tsang, Qing Guo
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory. CoRR (2024)
Bowen Xing, Ivor W. Tsang
L: Hybrid and Cooperative Contrastive Learning for Cross-lingual Spoken Language Understanding. CoRR (2024)
Peiyao Zhao, Yuangang Pan, Xin Li, Xu Chen, Ivor W. Tsang, Lejian Liao
Coarse-to-Fine Contrastive Learning on Graphs. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Feng Hong, Jiangchao Yao, Yueming Lyu, Zhihan Zhou, Ivor W. Tsang, Ya Zhang, Yanfeng Wang
On Harmonizing Implicit Subpopulations. ICLR (2024)
Xu Chen, Yuangang Pan, Ivor W. Tsang, Ya Zhang
Learning node representations against perturbations. Pattern Recognit. 145 (2024)
Cheng Chen, Ivor W. Tsang
Self-Teaching Prompting for Multi-Intent Learning with Limited Supervision. Tiny Papers @ ICLR (2024)
Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
CGDD: Multiview Graph Clustering via Cross-Graph Diversity Detection. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Yu Wang, Liang Hu, Xiaofeng Cao, Yi Chang, Ivor W. Tsang
Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Defu Liu, Ivor W. Tsang, Guowu Yang
A Convergence Path to Deep Learning on Noisy Labels. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold. ICLR (2024)
Xingrui Yu, Bo Han, Ivor W. Tsang
USN: A Robust Imitation Learning Method against Diverse Action Noise. J. Artif. Intell. Res. 79 (2024)
Bowen Xing, Ivor W. Tsang
Co-Guiding for Multi-Intent Spoken Language Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao
Sanitized clustering against confounding bias. Mach. Learn. 113 (6) (2024)
Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang
A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Feiyang Ye, Xuehao Wang, Yu Zhang, Ivor W. Tsang
Multi-Task Learning via Time-Aware Neural ODE. IJCAI (2023)
Yihao Huang, Yue Cao, Tianlin Li, Felix Juefei-Xu, Di Lin, Ivor W. Tsang, Yang Liu, Qing Guo
On the Robustness of Segment Anything. CoRR (2023)
Bowen Xing, Ivor W. Tsang
Exploiting Contextual Target Attributes for Target Sentiment Classification. CoRR (2023)
Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin
Missingness-Pattern-Adaptive Learning With Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Jiangchao Yao, Bo Han, Zhihan Zhou, Ya Zhang, Ivor W. Tsang
Latent Class-Conditional Noise Model. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Kim Yong Tan, Yueming Lyu, Yew Soon Ong, Ivor W. Tsang
Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search. CoRR (2023)
Yaxin Shi, Xiaowei Zhou, Ping Liu, Ivor W. Tsang
UTSGAN: Unseen Transition Suss GAN for Transition-Aware Image-to-image Translation. CoRR (2023)
Kairui Hu, Ming Yan, Joey Tianyi Zhou, Ivor W. Tsang, Wen Haw Chong, Yong Keong Yap
Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance Detection. CoRR (2023)
Jiangchao Yao, Bo Han, Zhihan Zhou, Ya Zhang, Ivor W. Tsang
Latent Class-Conditional Noise Model. CoRR (2023)
Defu Liu, Wen Li, Lixin Duan, Ivor W. Tsang, Guowu Yang
Noisy Label Learning With Provable Consistency for a Wider Family of Losses. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Mingwei Xu, Xiaofeng Cao, Ivor W. Tsang, James T. Kwok
Aggregation Weighting of Federated Learning via Generalization Bound Estimation. CoRR (2023)
Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang
Data-Efficient Learning via Minimizing Hyperspherical Energy. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Xiaowei Zhou, Ivor W. Tsang, Jie Yin
LADDER: Latent boundary-guided adversarial training. Mach. Learn. 112 (10) (2023)
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
Nonparametric Teaching for Multiple Learners. CoRR (2023)
Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor W. Tsang, Yang Liu, Qing Guo
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks. CoRR (2023)
Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Liang Hu, Ivor W. Tsang
Causal Intervention for Abstractive Related Work Generation. EMNLP (Findings) (2023)
Xiaoguang Li, Qing Guo, Rabab Abdelfattah, Di Lin, Wei Feng, Ivor W. Tsang, Song Wang
Leveraging Inpainting for Single-Image Shadow Removal. CoRR (2023)
Yuhao Liu, Qing Guo, Lan Fu, Zhanghan Ke, Ke Xu, Wei Feng, Ivor W. Tsang, Rynson W. H. Lau
Structure-Informed Shadow Removal Networks. IEEE Trans. Image Process. 32 (2023)
Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
Latent Representation Guided Multi-View Clustering. IEEE Trans. Knowl. Data Eng. 35 (7) (2023)
Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Yulei Sui, Ivor W. Tsang
Earning Extra Performance From Restrictive Feedbacks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Bing Li, Wei Cui, Le Zhang, Ce Zhu, Wei Wang, Ivor W. Tsang, Joey Tianyi Zhou
DifFormer: Multi-Resolutional Differencing Transformer With Dynamic Ranging for Time Series Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Bowen Xing, Ivor W. Tsang
Relational Temporal Graph Reasoning for Dual-Task Dialogue Language Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Canyu Zhang, Qing Guo, Xiaoguang Li, Renjie Wan, Hongkai Yu, Ivor W. Tsang, Song Wang
SuperInpaint: Learning Detail-Enhanced Attentional Implicit Representation for Super-resolutional Image Inpainting. CoRR (2023)
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) (2023)
Hui Xu, Changyu Li, Yan Zhang, Lixin Duan, Ivor W. Tsang, Jie Shao
MetaCAR: Cross-Domain Meta-Augmentation for Content-Aware Recommendation. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Bohao Qu, Xiaofeng Cao, Jielong Yang, Hechang Chen, Chang Yi, Ivor W. Tsang, Yew-Soon Ong
Policy Dispersion in Non-Markovian Environment. CoRR (2023)
Bowen Xing, Ivor W. Tsang
Relational Temporal Graph Reasoning for Dual-task Dialogue Language Understanding. CoRR (2023)
Cheng Chen, Yueming Lyu, Ivor W. Tsang
Adversary-Aware Partial label learning with Label distillation. CoRR (2023)
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
Nonparametric Iterative Machine Teaching. ICML (2023)
Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor W. Tsang, Yong Liu
Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold. CoRR (2023)
Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou
Contrastive Attraction and Contrastive Repulsion for Representation Learning. Trans. Mach. Learn. Res. 2023 (2023)
Shudong Huang, Yixi Liu, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
Multi-View Subspace Clustering by Joint Measuring of Consistency and Diversity. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Yinghua Yao, Yuangang Pan, Jing Li, Ivor W. Tsang, Xin Yao
Sanitized Clustering against Confounding Bias. CoRR (2023)
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 (2023)
Bowen Xing, Ivor W. Tsang
Co-evolving Graph Reasoning Network for Emotion-Cause Pair Extraction. CoRR (2023)
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
Nonparametric Iterative Machine Teaching. CoRR (2023)
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 (2023)
Xiaoguang Li, Qing Guo, Rabab Abdelfattah, Di Lin, Wei Feng, Ivor W. Tsang, Song Wang
Leveraging Inpainting for Single-Image Shadow Removal. ICCV (2023)
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 (2023)
Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang, James T. Kwok
Nonparametric Teaching for Multiple Learners. NeurIPS (2023)
Jing Li, Yuangang Pan, Yueming Lyu, Yinghua Yao, Yulei Sui, Ivor W. Tsang
Earning Extra Performance from Restrictive Feedbacks. CoRR (2023)
Tuan-Anh Vu, Duc Thanh Nguyen, Qing Guo, Binh-Son Hua, Nhat Minh Chung, Ivor W. Tsang, Sai-Kit Yeung
Leveraging Open-Vocabulary Diffusion to Camouflaged Instance Segmentation. CoRR (2023)
Haotian Wu, Bowen Xing, Ivor W. Tsang
MTKDN: Multi-Task Knowledge Disentanglement Network for Recommendation. CIKM (2023)
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) (2023)
Bowen Xing, Ivor W. Tsang
Co-Evolving Graph Reasoning Network for Emotion-Cause Pair Extraction. ECML/PKDD (1) (2023)
Bowen Xing, Ivor W. Tsang
Co-guiding for Multi-intent Spoken Language Understanding. CoRR (2023)
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 (2022)
Bowen Xing, Ivor W. Tsang
DigNet: Digging Clues from Local-Global Interactive Graph for Aspect-level Sentiment Classification. CoRR (2022)
Xiaofeng Cao, Ivor W. Tsang, Jianliang Xu
Cold-Start Active Sampling Via γ-Tube. IEEE Trans. Cybern. 52 (7) (2022)
Yuangang Pan, Ivor W. Tsang, Weijie Chen, Gang Niu, Masashi Sugiyama
Fast and Robust Rank Aggregation against Model Misspecification. J. Mach. Learn. Res. 23 (2022)
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) (2022)
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) (2022)
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) (2022)
Xiaowei Zhou, Jie Yin, Ivor W. Tsang
Edge but not Least: Cross-View Graph Pooling. ECML/PKDD (2) (2022)
Xiaofeng Cao, Ivor W. Tsang
Shattering Distribution for Active Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (1) (2022)
Bowen Xing, Ivor W. Tsang
Neural Subgraph Explorer: Reducing Noisy Information via Target-Oriented Syntax Graph Pruning. CoRR (2022)
Jing Chai, Ivor W. Tsang
Learning With Label Proportions by Incorporating Unmarked Data. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
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)
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)
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) (2022)
Chen Zhang, Xiaofeng Cao, Yi Chang, Ivor W. Tsang
One-shot Machine Teaching: Cost Very Few Examples to Converge Faster. CoRR (2022)
Xiaofeng Cao, Yaming Guo, Tieru Wu, Ivor W. Tsang
When an Active Learner Meets a Black-box Teacher. CoRR (2022)
Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv, Quanhui Liu
Multi-View Clustering on Topological Manifold. AAAI (2022)
Bowen Xing, Ivor W. Tsang
DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition. CoRR (2022)
Bowen Xing, Ivor W. Tsang
Out of Context: A New Clue for Context Modeling of Aspect-based Sentiment Analysis. J. Artif. Intell. Res. 74 (2022)
Xiaofeng Cao, Weiyang Liu, Ivor W. Tsang
Data-Efficient Learning via Minimizing Hyperspherical Energy. CoRR (2022)
Shudong Huang, Ivor W. Tsang, Zenglin Xu, Jiancheng Lv
Multiple partitions alignment via spectral rotation. Mach. Learn. 111 (3) (2022)
Huiting Hong, Xin Li, Yuangang Pan, Ivor W. Tsang
Domain-Adversarial Network Alignment. IEEE Trans. Knowl. Data Eng. 34 (7) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ivor W. Tsang