Learning Well-Structured Logits: Leveraging Vision-Language Complementarity for Open-World Test-Time Adaptation

J. Lin, Y. Yao, C. Wang, Y. Pan

International Joint Conference on Artificial Intelligence (IJCAI) 2026

SEA-Flow3D: Simplified, Efficient, and Accurate Scene Flow via Spatial Vector Sampling and Multi-scale Refinement

H. Ling, Q. Sun, Y. Yao, I. Tsang, Y. Sun

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026 CCF A

[PDF] [Code]

Sample Reward Soups: Query-efficient Multi-Reward Guidance for Text-to-Image Diffusion Models

Y. Yao, Y. Pan, G. Fu, I. Tsang

International Conference on Learning Representations (ICLR) 2026 CCF A

[PDF] [Code]

TS^2: Training with Sparsemax+, Testing with Softmax for Accurate and Diverse LLM Fine-Tuning

Z. Xu*, A. R. Pillai*, Y. Yao^#, Y. Pan

International Conference on Learning Representations (ICLR) 2026 CCF A

[PDF] [Code]

Generative Co-Design of Antibody Sequences and Structures via Black-Box Guidance in a Shared Latent Space

Y. Yao, Y. Pan, X. Chen

International Joint Conference on Artificial Intelligence (IJCAI) 2025 CCF A

[PDF] [Code]

Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization

Y. Chang, Y. Yao^#, T. Qin, M. Wang, I. Tsang, G. Dai

International Joint Conference on Artificial Intelligence (IJCAI) 2025 CCF A

[PDF] [code]

Auto-clustering with Continuous Distribution Estimation on Centroids

Y. Pan, Y. Yao, A. Nitanda, J. T. Zhou, I. Tsang

Machine Learning 2025 CCF B

[PDF] [code]

Generalized Probabilistic Graphical Modeling for Multi-View Bipartite Graph Clustering

L. Li, Y. Pan, Y. Yao, J. Zhang, M. Liu, X. Zhu, K. Li

IEEE Transactions on Pattern Analysis and Machine Intelligence 2025 IF 18.6

[PDF] [code]

Alpha and Prejudice: Improving Alpha-Sized Worst Case Fairness via Intrinsic Reweighting

J. Li, Y. Yao, Y. Pan, X. Wang, I. Tsang, X. Fu

IEEE Transactions on Neural Networks and Learning Systems 2025 IF 8.9

[PDF]

EVOL3D: A Large-Scale 3D Structure Dataset for Investigating Mutational Effects in Homologous Proteins

Z. Zhong, Y. Yao, D. Mottin, J. Pang

AI4X 2025 International Conference 2025

[PDF]

Generative Adversarial Ranking Nets

Y. Yao, Y. Pan, J. Li, I. Tsang, X. Yao

Journal of Machine Learning Research 2024 CCF A

[PDF] [code]

PROUD: PaRetO-gUided Diffusion Model for Multi-Objective Generation

Y. Yao, Y. Pan, J. Li, I. Tsang, X. Yao

Machine Learning 2024 Best Poster Award

[PDF] [code]

Generation with Nuanced Changes: Continuous Image-to-Image Translation with Adversarial Preferences

Y. Yao, Y. Pan, I. Tsang, X. Yao

IEEE Transactions on Artificial Intelligence 2024

[PDF] [code]

PC-X: Profound Clustering via Slow Exemplars

Y. Pan, Y. Yao, I. Tsang

Conference on Parsimony and Learning 2024 Best Paper Award

[PDF] [code]

Sanitized Clustering against Confounding Bias

Y. Yao, Y. Pan, J. Li, I. Tsang, X. Yao

Machine Learning 2023 CCF B

Clustering method designed to reduce confounding bias.

[PDF] [Code]

Earning Extra Performance from Restrictive Feedbacks

J. Li, Y. Pan, Y. Lyu, Y. Yao, Y. Sui, I. Tsang

IEEE Transactions on Pattern Analysis and Machine Intelligence 2023 IF 18.6

Methods for earning extra performance from restrictive feedbacks.

[PDF] [Code]

Robust Deep Learning Models against Semantic-Preserving Adversarial Attack

Y. Zhao, D. Gao, Y. Yao, Z. Zhang, B. Mao, X. Yao

International Joint Conference on Neural Networks 2023

Robust deep learning models against semantic-preserving adversarial attack.

[PDF]

Differential-Critic GAN: Generating What You Want by a Cue of Preferences

Y. Yao, Y. Pan, I. Tsang, X. Yao

IEEE Transactions on Neural Networks and Learning Systems 2022 IF 8.9

[PDF] [code]