Tsang, Ivor

Learning with Augmented Features for Heterogeneous Domain Adaptation

Duan, L., Xu, D., & Tsang, I. (2012) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 320

A deep learning framework for hybrid heterogeneous transfer learning

Zhou, J. T., Pan, S. J., & Tsang, I. W. (2019) · Artificial Intelligence

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 53

Transfer learning for cross-language text categorization through active correspondences construction

Zhou, J., Pan, S., Tsang, I., & Ho, S.-S. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence

Domain Adaptation and Few-Shot LearningText and Document Classification Technologies

Cited by 50

On the Convergence of a Family of Robust Losses for Stochastic Gradient Descent

Han, B., Tsang, I. W., & Chen, L. (2016) · Lecture Notes in Computer Science

Stochastic Gradient Optimization TechniquesMachine Learning and Data Classification

Cited by 25

Enhancing locally adaptive smoothing of graph neural networks via Laplacian node disagreement

Wang, Y., Hu, L., Cao, X., Chang, Y., & Tsang, I. W. (2024) · IEEE Transactions on Knowledge and Data Engineering

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 10

Judged Useless, Queried Anyway: Tool-Using Agents Rarely Turn Their Own Evidence Judgments into Stopping Decisions

Zhang, C., Wan, Z., Yu, X., Wu, J., Zhou, Y., Tsang, I., & An, B. (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0