Li, Haoliang

23 publications

ICLR 2025 Deep Signature: Characterization of Large-Scale Molecular Dynamics Tiexin Qin, Mengxu Zhu, Chunyang Li, Terry Lyons, Hong Yan, Haoliang Li

NeurIPS 2025 Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space Is All You Need Kecheng Chen, Pingping Zhang, Hui Liu, Jie Liu, Yibing Liu, Jiaxin Huang, Shiqi Wang, Hong Yan, Haoliang Li

NeurIPS 2025 MedChain: Bridging the Gap Between LLM Agents and Clinical Practice with Interactive Sequence Jie Liu, Wenxuan Wang, Zizhan Ma, Guolin Huang, Su Yihang, Kao-Jung Chang, Haoliang Li, Linlin Shen, Michael Lyu, Wenting Chen

CVPR 2025 Q-PART: Quasi-Periodic Adaptive Regression with Test-Time Training for Pediatric Left Ventricular Ejection Fraction Regression Jie Liu, Tiexin Qin, Hui Liu, Yilei Shi, Lichao Mou, Xiao Xiang Zhu, Shiqi Wang, Haoliang Li

NeurIPS 2025 SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks Xinyu Luo, Kecheng Chen, Pao-Sheng Vincent Sun, Chris XING Tian, Arindam Basu, Haoliang Li

ICCV 2025 Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking Qiangqiang Wu, Yi Yu, Chenqi Kong, Ziquan Liu, Jia Wan, Haoliang Li, Alex C. Kot, Antoni B. Chan

ICCV 2025 Test-Time Adaptation for Foundation Medical Segmentation Model Without Parametric Updates Kecheng Chen, Xinyu Luo, Tiexin Qin, Jie Liu, Hui Liu, Victor Ho Fun Lee, Hong Yan, Haoliang Li

ICLR 2025 Test-Time Adaptation for Image Compression with Distribution Regularization Kecheng Chen, Pingping Zhang, Tiexin Qin, Shiqi Wang, Hong Yan, Haoliang Li

ECCV 2024 Event Trojan: Asynchronous Event-Based Backdoor Attacks Ruofei Wang, Qing Guo, Haoliang Li, Renjie Wan

ICLRW 2024 Gradient-Congruity Guided Federated Sparse Training Chris XING Tian, Yibing Liu, Haoliang Li, Ray C.C. Cheung, Shiqi Wang

ECCV 2024 Imaging Interiors: An Implicit Solution to Electromagnetic Inverse Scattering Problems Ziyuan Luo, Boxin Shi, Haoliang Li, Renjie Wan

ICML 2024 Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference Benjamin Walker, Andrew Donald Mcleod, Tiexin Qin, Yichuan Cheng, Haoliang Li, Terry Lyons

ICLR 2024 Neuron Activation Coverage: Rethinking Out-of-Distribution Detection and Generalization Yibing Liu, Chris XING Tian, Haoliang Li, Lei Ma, Shiqi Wang

ICCV 2023 Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less Rizhao Cai, Yawen Cui, Zhi Li, Zitong Yu, Haoliang Li, Yongjian Hu, Alex Kot

ICLR 2023 Temporal Coherent Test Time Optimization for Robust Video Classification Chenyu Yi, Siyuan Yang, Yufei Wang, Haoliang Li, Yap-peng Tan, Alex Kot

TMLR 2022 Domain-Invariant Feature Exploration for Domain Generalization Wang Lu, Jindong Wang, Haoliang Li, Yiqiang Chen, Xing Xie

ICML 2022 Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder Tiexin Qin, Shiqi Wang, Haoliang Li

AAAI 2022 Low-Light Image Enhancement with Normalizing Flow Yufei Wang, Renjie Wan, Wenhan Yang, Haoliang Li, Lap-Pui Chau, Alex C. Kot

ICML 2022 Rethinking Attention-Model Explainability Through Faithfulness Violation Test Yibing Liu, Haoliang Li, Yangyang Guo, Chenqi Kong, Jing Li, Shiqi Wang

NeurIPSW 2022 Towards Domain Generalized Pruning by Scoring Out-of-Distribution Importance Rizhao Cai, Haoliang Li, Alex Kot

TMLR 2022 Variational Disentanglement for Domain Generalization Yufei Wang, Haoliang Li, Hao Cheng, Bihan Wen, Lap-Pui Chau, Alex Kot

NeurIPS 2020 Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization Haoliang Li, Yufei Wang, Renjie Wan, Shiqi Wang, Tie-Qiang Li, Alex Kot

AAAI 2019 Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding Haoliang Li, Sinno Jialin Pan, Renjie Wan, Alex C. Kot