Yang, Han

26 publications

NeurIPS 2025 $\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation Weilun Feng, Haotong Qin, Chuanguang Yang, Xiangqi Li, Han Yang, Yuqi Li, Zhulin An, Libo Huang, Michele Magno, Yongjun Xu

CVPR 2025 3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning Yuncong Yang, Han Yang, Jiachen Zhou, Peihao Chen, Hongxin Zhang, Yilun Du, Chuang Gan

WACV 2025 Cross Image Feature Perturbation with Pseudo Label Fusion for Semi-Supervised Medical Image Segmentation Minxia Xu, Han Yang, Bo Song, Weida Hu, Jinshui Miao, Erkang Cheng

NeurIPS 2025 E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products Yunyang Li, Lin Huang, Zhihao Ding, Xinran Wei, Chu Wang, Han Yang, Zun Wang, Chang Liu, Yu Shi, Peiran Jin, Tao Qin, Mark Gerstein, Jia Zhang

ICML 2025 Efficient and Scalable Density Functional Theory Hamiltonian Prediction Through Adaptive Sparsity Erpai Luo, Xinran Wei, Lin Huang, Yunyang Li, Han Yang, Zaishuo Xia, Zun Wang, Chang Liu, Bin Shao, Jia Zhang

ICLR 2025 Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems Yunyang Li, Zaishuo Xia, Lin Huang, Xinran Wei, Samuel Harshe, Han Yang, Erpai Luo, Zun Wang, Jia Zhang, Chang Liu, Bin Shao, Mark Gerstein

AAAI 2025 HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation Han Yang, Chuanguang Yang, Zhulin An, Libo Huang, Yongjun Xu

CVPR 2025 Multi-Party Collaborative Attention Control for Image Customization Han Yang, Chuanguang Yang, Qiuli Wang, Zhulin An, Weilun Feng, Libo Huang, Yongjun Xu

AAAI 2025 Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition Chuanguang Yang, Xinqiang Yu, Han Yang, Zhulin An, Chengqing Yu, Libo Huang, Yongjun Xu

ICLR 2025 Prototype Antithesis for Biological Few-Shot Class-Incremental Learning Binghao Liu, Han Yang, Fang Wan, Fei Gu

AAAI 2025 UniMuMo: Unified Text, Music, and Motion Generation Han Yang, Kun Su, Yutong Zhang, Jiaben Chen, Kaizhi Qian, Gaowen Liu, Chuang Gan

CVPR 2024 CLIP-KD: An Empirical Study of CLIP Model Distillation Chuanguang Yang, Zhulin An, Libo Huang, Junyu Bi, Xinqiang Yu, Han Yang, Boyu Diao, Yongjun Xu

ICLR 2024 GNNCert: Deterministic Certification of Graph Neural Networks Against Adversarial Perturbations Zaishuo Xia, Han Yang, Binghui Wang, Jinyuan Jia

ICLR 2024 Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation Yunyang Li, Yusong Wang, Lin Huang, Han Yang, Xinran Wei, Jia Zhang, Tong Wang, Zun Wang, Bin Shao, Tie-Yan Liu

ICLR 2024 Training-Free Multi-Objective Diffusion Model for 3D Molecule Generation Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li

TMLR 2023 Calibrating and Improving Graph Contrastive Learning Ma Kaili, Garry Yang, Han Yang, Yongqiang Chen, James Cheng

ICLR 2023 Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Ma Kaili, Han Yang, Peilin Zhao, Bo Han, James Cheng

ICCV 2023 SILT: Shadow-Aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels Han Yang, Tianyu Wang, Xiaowei Hu, Chi-Wing Fu

NeurIPS 2022 Exact Shape Correspondence via 2D Graph Convolution Barakeel Fanseu Kamhoua, Lin Zhang, Yongqiang Chen, Han Yang, Ma Kaili, Bo Han, Bo Li, James Cheng

CVPR 2022 Full-Range Virtual Try-on with Recurrent Tri-Level Transform Han Yang, Xinrui Yu, Ziwei Liu

ICMLW 2022 Invariance Principle Meets Out-of-Distribution Generalization on Graphs Yongqiang Chen, Yonggang Zhang, Yatao Bian, Han Yang, Ma Kaili, Binghui Xie, Tongliang Liu, Bo Han, James Cheng

NeurIPS 2022 Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs Yongqiang Chen, Yonggang Zhang, Yatao Bian, Han Yang, Ma Kaili, Binghui Xie, Tongliang Liu, Bo Han, James Cheng

ICLR 2022 Understanding and Improving Graph Injection Attack by Promoting Unnoticeability Yongqiang Chen, Han Yang, Yonggang Zhang, Ma Kaili, Tongliang Liu, Bo Han, James Cheng

CVPR 2021 Disentangled Cycle Consistency for Highly-Realistic Virtual Try-on Chongjian Ge, Yibing Song, Yuying Ge, Han Yang, Wei Liu, Ping Luo

AAAI 2021 Rethinking Graph Regularization for Graph Neural Networks Han Yang, Kaili Ma, James Cheng

MLJ 2021 Robust Supervised Topic Models Under Label Noise Wei Wang, Bing Guo, Yan Shen, Han Yang, Yaosen Chen, Xinhua Suo