| 2026 | AAAI | Online Conformal Selection with Accept-to-Reject Changes. | Kangdao Liu, Huajun Xi, Chi Man Vong, Hongxin Wei |
| 2025 | ECAI | C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets. | Kangdao Liu, Hao Zeng, Jianguo Huang, Huiping Zhuang, Chi-Man Vong, Hongxin Wei |
| 2025 | ICLR | Exploring Learning Complexity for Efficient Downstream Dataset Pruning. | Wenyu Jiang, Zhenlong Liu, Zejian Xie, Songxin Zhang, Bingyi Jing, Hongxin Wei |
| 2025 | ICLR | Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection. | Fanhu Zeng, Zhen Cheng, Fei Zhu, Hongxin Wei, Xu-Yao Zhang |
| 2025 | ICLR | Fine-tuning can Help Detect Pretraining Data from Large Language Models. | Hengxiang Zhang, Songxin Zhang, Bingyi Jing, Hongxin Wei |
| 2025 | ICML | Parametric Scaling Law of Tuning Bias in Conformal Prediction. | Hao Zeng, Kangdao Liu, Bingyi Jing, Hongxin Wei |
| 2025 | ICML | How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence. | Hyeong Kyu Choi, Maxim Khanov, Hongxin Wei, Yixuan Li |
| 2025 | ICML | Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models. | Shuoyuan Wang, Yixuan Li, Hongxin Wei |
| 2024 | CVPR | CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning. | Shiyu Tian, Hongxin Wei, Yiqun Wang, Lei Feng |
| 2024 | ICLR | Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks. | Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj |
| 2024 | ICLR | DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. | Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei |
| 2024 | ICLR | Consistent Multi-Class Classification from Multiple Unlabeled Datasets. | Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng |
| 2024 | ICML | Conformal Prediction for Deep Classifier via Label Ranking. | Jianguo Huang, Huajun Xi, Linjun Zhang, Huaxiu Yao, Yue Qiu, Hongxin Wei |
| 2024 | ICML | Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss. | Zhenlong Liu, Lei Feng, Huiping Zhuang, Xiaofeng Cao, Hongxin Wei |
| 2024 | ICML | Open-Vocabulary Calibration for Fine-tuned CLIP. | Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou, Hongxin Wei |
| 2024 | ICML | Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints. | Xiaobo Xia, Jiale Liu, Shaokun Zhang, Qingyun Wu, Hongxin Wei, Tongliang Liu |
| 2023 | AAAI | A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. | Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng |
| 2023 | ICML | Mitigating Memorization of Noisy Labels by Clipping the Model Prediction. | Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li |
| 2022 | AAAI | GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation. | Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An |
| 2022 | ICML | Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets. | Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An |
| 2022 | ICML | Mitigating Neural Network Overconfidence with Logit Normalization. | Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li |
| 2021 | AAAI | Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. | Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao |
| 2021 | BMVC | Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix. | Ziqi Zhang, Yuexiang Li, Hongxin Wei, Kai Ma, Tao Xu, Yefeng Zheng |
| 2021 | KDD | Multiple-Instance Learning from Similar and Dissimilar Bags. | Lei Feng, Senlin Shu, Yuzhou Cao, Lue Tao, Hongxin Wei, Tao Xiang, Bo An, Gang Niu |
| 2020 | CVPR | Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization. | Hongxin Wei, Lei Feng, Xiangyu Chen, Bo An |
| 2016 | WCNC | Queue-aware energy-efficient scheduling and power allocation in small-cell networks with interference. | Hongxin Wei, Limin Xiao, Yunzhou Li, Shidong Zhou |