| 2026 | AAAI | Variation-Bounded Loss for Noise-Tolerant Learning. | Jialiang Wang, Xiong Zhou, Xianming Liu, Gangfeng Hu, Deming Zhai, Junjun Jiang, Haoliang Li |
| 2026 | ACL | Task-Aware LLM Routing with Multi-Level Task-Profile-Guided Data Synthesis for Cold-Start Scenarios. | Hui Liu, Bin Zou, Kecheng Chen, Jie Liu, Wenya Wang, Haoliang Li |
| 2026 | ACL | Domain-Specific Data Generation Framework for RAG Adaptation. | Chris Xing Tian, Weihao Xie, Zhen Chen, Hui Liu, Zhengyuan Yi, Haoliang Li, Shiqi Wang, Siwei Ma |
| 2026 | ISCAS | A Collaborative Adversarial Purification Framework with Perturbation-Insensitive Semantics-Guidance. | Kaifeng Chen, Peisong He, Lei Zhang, Haoliang Li, Ke Xu |
| 2025 | ACL | Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning. | Hui Liu, Wenya Wang, Hao Sun, Chris Xing Tian, Chenqi Kong, Xin Dong, Haoliang Li |
| 2025 | CVPR | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICLR | Test-time Adaptation for Image Compression with Distribution Regularization. | Kecheng Chen, Pingping Zhang, Tiexin Qin, Shiqi Wang, Hong Yan, Haoliang Li |
| 2025 | ICLR | Deep Signature: Characterization of Large-Scale Molecular Dynamics. | Tiexin Qin, Mengxu Zhu, Chunyang Li, Terry Lyons, Hong Yan, Haoliang Li |
| 2025 | IJCNN | Remote Sensing Change Detection via Graph Compression and Adaptive Feature Fusion. | Jingxing Zhong, Haoliang Li, Renda Han, Wenxin Zhang, Yutian You, Junhao Xiao |
| 2024 | ACL | TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection. | Hui Liu, Wenya Wang, Haoru Li, Haoliang Li |
| 2024 | ECCV | Imaging Interiors: An Implicit Solution to Electromagnetic Inverse Scattering Problems. | Ziyuan Luo, Boxin Shi, Haoliang Li, Renjie Wan |
| 2024 | ECCV | Event Trojan: Asynchronous Event-Based Backdoor Attacks. | Ruofei Wang, Qing Guo, Haoliang Li, Renjie Wan |
| 2024 | ICDE | Target-agnostic Source-free Domain Adaptation for Regression Tasks. | Tianlang He, Zhiqiu Xia, Jierun Chen, Haoliang Li, S.-H. Gary Chan |
| 2024 | ICLR | Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization. | Yibing Liu, Chris Xing Tian, Haoliang Li, Lei Ma, Shiqi Wang |
| 2024 | ICML | Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference. | Benjamin Walker, Andrew D. McLeod, Tiexin Qin, Yichuan Cheng, Haoliang Li, Terry J. Lyons |
| 2024 | VCIP | Scenedoor: An Environmental Backdoor Attack for Face Recognition. | Ruofei Wang, Ziyuan Luo, Haoliang Li, Renjie Wan |
| 2023 | ACL | Interpretable Multimodal Misinformation Detection with Logic Reasoning. | Hui Liu, Wenya Wang, Haoliang Li |
| 2023 | CIKM | Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting. | Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang |
| 2023 | ICASSP | Cross-Domain Object Classification Via Successive Subspace Alignment. | Kecheng Chen, Haoliang Li, Hong Yan |
| 2023 | ICASSP | Two-Branch Multi-Scale Deep Neural Network for Generalized Document Recapture Attack Detection. | Jiaxing Li, Chenqi Kong, Shiqi Wang, Haoliang Li |
| 2023 | ICCV | 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 C. Kot |
| 2023 | ICLR | Temporal Coherent Test Time Optimization for Robust Video Classification. | Chenyu Yi, Siyuan Yang, Yufei Wang, Haoliang Li, Yap-Peng Tan, Alex C. Kot |
| 2023 | KDD | Trustworthy Machine Learning: Robustness, Generalization, and Interpretability. | Jindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, Xing Xie |
| 2023 | WSDM | A Tutorial on Domain Generalization. | Jindong Wang, Haoliang Li, Sinno Jialin Pan, Xing Xie |
| 2022 | AAAI | Low-Light Image Enhancement with Normalizing Flow. | Yufei Wang, Renjie Wan, Wenhan Yang, Haoliang Li, Lap-Pui Chau, Alex C. Kot |
| 2022 | EMNLP | Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement. | Hui Liu, Wenya Wang, Haoliang Li |
| 2022 | ICML | Rethinking Attention-Model Explainability through Faithfulness Violation Test. | Yibing Liu, Haoliang Li, Yangyang Guo, Chenqi Kong, Jing Li, Shiqi Wang |
| 2022 | ICML | Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder. | Tiexin Qin, Shiqi Wang, Haoliang Li |
| 2022 | VTC | Hybrid RSS-TDOA Measurements Based Directional Target Localization in NLOS Environments. | Peiliang Zuo, Han Zhang, Haoliang Li, Boya Liu, Hua Jiang |
| 2021 | IGARSS | Man-Made Targets Characterization with Polarimetric Correlation Pattern Interpretation Tool. | Haoliang Li, Ming-Dian Li, Si-Wei Chen |
| 2020 | CVPR | Reflection Scene Separation From a Single Image. | Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Alex C. Kot |
| 2020 | ICASSP | Unseen Face Presentation Attack Detection with Hypersphere Loss. | Zhi Li, Haoliang Li, Kwok-Yan Lam, Alex Chichung Kot |
| 2020 | ICASSP | Heterogeneous Domain Generalization Via Domain Mixup. | Yufei Wang, Haoliang Li, Alex C. Kot |
| 2020 | ICONIP | Low-Dose CT Image Blind Denoising with Graph Convolutional Networks. | Kecheng Chen, Xiaorong Pu, Yazhou Ren, Hang Qiu, Haoliang Li, Jiayu Sun |
| 2020 | VCIP | Improving Robustness of DNNs against Common Corruptions via Gaussian Adversarial Training. | Chenyu Yi, Haoliang Li, Renjie Wan, Alex C. Kot |
| 2020 | VCIP | The Enhancement of Underexposed Images with Blurred Reflectance. | Jinchao Zhou, Renjie Wan, Haoliang Li, Alex C. Kot |
| 2019 | AAAI | Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding. | Haoliang Li, Sinno Jialin Pan, Renjie Wan, Alex C. Kot |
| 2019 | ICIP | Detection of Fake Images Via The Ensemble of Deep Representations from Multi Color Spaces. | Peisong He, Haoliang Li, Hongxia Wang |
| 2018 | BMVC | Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification. | Shan Lin, Haoliang Li, Chang-Tsun Li, Alex C. Kot |
| 2018 | CVPR | Domain Generalization With Adversarial Feature Learning. | Haoliang Li, Sinno Jialin Pan, Shiqi Wang, Alex C. Kot |
| 2016 | ISCAS | Color space identification from single images. | Haoliang Li, Alex C. Kot, Leida Li |
| 2013 | GLOBECOM | A novel low-power filter design via reduced-precision redundancy for voltage overscaling applications. | Haoliang Li, Jianhao Hu, Jienan Chen |