Wei, Hongxin

34 publications

ICLR 2026 Multi-Condition Conformal Selection Qingyang Hao, Wenbo Liao, Bingyi Jing, Hongxin Wei

TMLR 2025 Does Confidence Calibration Improve Conformal Prediction? HuaJun Xi, Jianguo Huang, Kangdao Liu, Lei Feng, Hongxin Wei

ICLR 2025 Exploring Learning Complexity for Efficient Downstream Dataset Pruning Wenyu Jiang, Zhenlong Liu, Zejian Xie, Songxin Zhang, Bingyi Jing, Hongxin Wei

NeurIPS 2025 Exploring the Noise Robustness of Online Conformal Prediction HuaJun Xi, Kangdao Liu, Hao Zeng, Wenguang Sun, Hongxin Wei

ICLR 2025 Fine-Tuning Can Help Detect Pretraining Data from Large Language Models Hengxiang Zhang, Songxin Zhang, Bingyi Jing, Hongxin Wei

ICML 2025 How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence Hyeong Kyu Choi, Maxim Khanov, Hongxin Wei, Yixuan Li

ICLR 2025 Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection Fanhu Zeng, Zhen Cheng, Fei Zhu, Hongxin Wei, Xu-Yao Zhang

ICML 2025 Parametric Scaling Law of Tuning Bias in Conformal Prediction Hao Zeng, Kangdao Liu, Bingyi Jing, Hongxin Wei

MLOSS 2025 TorchCP: A Python Library for Conformal Prediction Jianguo Huang, Jianqing Song, Xuanning Zhou, Bingyi Jing, Hongxin Wei

ICML 2025 Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models Shuoyuan Wang, Yixuan Li, Hongxin Wei

NeurIPS 2025 Your Pre-Trained LLM Is Secretly an Unsupervised Confidence Calibrator Beier Luo, Shuoyuan Wang, Sharon Li, Hongxin Wei

ICML 2024 Conformal Prediction for Deep Classifier via Label Ranking Jianguo Huang, Huajun Xi, Linjun Zhang, Huaxiu Yao, Yue Qiu, Hongxin Wei

ICLR 2024 Consistent Multi-Class Classification from Multiple Unlabeled Datasets Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An, Lei Feng

CVPR 2024 CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning Shiyu Tian, Hongxin Wei, Yiqun Wang, Lei Feng

ICLR 2024 DOS: Diverse Outlier Sampling for Out-of-Distribution Detection Wenyu Jiang, Hao Cheng, MingCai Chen, Chongjun Wang, Hongxin Wei

NeurIPS 2024 GACL: Exemplar-Free Generalized Analytic Continual Learning Huiping Zhuang, Yizhu Chen, Di Fang, Run He, Kai Tong, Hongxin Wei, Ziqian Zeng, Cen Chen

ICML 2024 Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss Zhenlong Liu, Lei Feng, Huiping Zhuang, Xiaofeng Cao, Hongxin Wei

NeurIPS 2024 On the Noise Robustness of In-Context Learning for Text Generation Hongfu Gao, Feipeng Zhang, Wenyu Jiang, Jun Shu, Feng Zheng, Hongxin Wei

ICML 2024 Open-Vocabulary Calibration for Fine-Tuned CLIP Shuoyuan Wang, Jindong Wang, Guoqing Wang, Bob Zhang, Kaiyang Zhou, Hongxin Wei

ICML 2024 Refined Coreset Selection: Towards Minimal Coreset Size Under Model Performance Constraints Xiaobo Xia, Jiale Liu, Shaokun Zhang, Qingyun Wu, Hongxin Wei, Tongliang Liu

ICLR 2024 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

AAAI 2023 A Generalized Unbiased Risk Estimator for Learning with Augmented Classes Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng

NeurIPS 2023 In Defense of SoftMax Parametrization for Calibrated and Consistent Learning to Defer Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An

ICML 2023 Mitigating Memorization of Noisy Labels by Clipping the Model Prediction Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li

NeurIPS 2023 On the Importance of Feature Separability in Predicting Out-of-Distribution Error Renchunzi Xie, Hongxin Wei, Lei Feng, Yuzhou Cao, Bo An

NeurIPS 2023 Regression with Cost-Based Rejection Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng

NeurIPS 2022 ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection Huiping Zhuang, Zhenyu Weng, Hongxin Wei, Renchunzi Xie, Kar-Ann Toh, Zhiping Lin

NeurIPS 2022 Can Adversarial Training Be Manipulated by Non-Robust Features? Lue Tao, Lei Feng, Hongxin Wei, Jinfeng Yi, Sheng-Jun Huang, Songcan Chen

AAAI 2022 GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation Renchunzi Xie, Hongxin Wei, Lei Feng, Bo An

ICML 2022 Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei, Renchunzi Xie, Hao Cheng, Lei Feng, Bo An, Yixuan Li

ICML 2022 Open-Sampling: Exploring Out-of-Distribution Data for Re-Balancing Long-Tailed Datasets Hongxin Wei, Lue Tao, Renchunzi Xie, Lei Feng, Bo An

AAAI 2021 Commission Fee Is Not Enough: A Hierarchical Reinforced Framework for Portfolio Management Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao

NeurIPS 2021 Open-Set Label Noise Can Improve Robustness Against Inherent Label Noise Hongxin Wei, Lue Tao, Renchunzi Xie, Bo An

CVPR 2020 Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization Hongxin Wei, Lei Feng, Xiangyu Chen, Bo An