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Wei, Hongxin

  1. Combating noisy labels by agreement: A joint training method with co-regularization
    2020/03/05 by Hongxin Wei, Lei Feng, Wei, Hongxin +5 · 18 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  2. Mitigating Neural Network Overconfidence with Logit Normalization
    2022/05/19 by Wei, Hongxin, Xie, Renchunzi, Cheng, Hao +3 · 22 citations
    #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG)
  3. ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection
    2022/05/30 by Huiping Zhuang, Zhuang, Huiping, Zhenyu Weng +8 · 9 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
  4. Conformal Prediction for Deep Classifier via Label Ranking
    2023/10/10 by Jianguo Huang, H. Xi, Huang, Jianguo +9 · 11 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications #Statistics Theory (math.ST)
  5. On the Noise Robustness of In-Context Learning for Text Generation
    2024/05/27 by Hongfu Gao, Gao, Hongfu, Feipeng Zhang +8 · 8 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Speech and dialogue systems
  6. GACL: Exemplar-Free Generalized Analytic Continual Learning
    2024/03/23 by Huiping Zhuang, Yizhu Chen, Zhuang, Huiping +13 · 6 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. On the Importance of Feature Separability in Predicting Out-Of-Distribution Error
    2023/03/27 by Renchunzi Xie, Hongxin Wei, Xie, Renchunzi +7 · 3 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  8. Mitigating Memorization of Noisy Labels by Clipping the Model Prediction
    2022/12/08 by Hongxin Wei, Huiping Zhuang, Wei, Hongxin +11 · 3 citations
    Computer Science · #Machine Learning and Data Classification #Neural Networks and Applications #Music and Audio Processing
  9. Deep Stock Trading: A Hierarchical Reinforcement Learning Framework for Portfolio Optimization and Order Execution
    2020/12/23 by Wang, Rundong, Wei, Hongxin, An, Bo +2 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  10. How Contaminated Is Your Benchmark? Quantifying Dataset Leakage in Large Language Models with Kernel Divergence
    2025/02/02 by Choi, Hyeong Kyu, Khanov, Maxim, Wei, Hongxin +1 · 7 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. Optimization-Free Test-Time Adaptation for Cross-Person Activity Recognition
    2023/10/28 by Shuoyuan Wang, Wang, Shuoyuan, Jindong Wang +9 · 3 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Context-Aware Activity Recognition Systems #FOS: Computer and information sciences #Gait Recognition and Analysis #Human Pose and Action Recognition #Machine Learning (cs.LG)
  12. In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer
    2023/11/02 by Yuzhou Cao, Hussein Mozannar, Cao, Yuzhou +7 · 3 citations
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  13. Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints
    2023/11/15 by Xia, Xiaobo, Liu, Jiale, Zhang, Shaokun +3 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. Impact of Noisy Supervision in Foundation Model Learning
    2024/03/11 by Chen, Hao, Wang, Zihan, Tao, Ran +5 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. TorchCP: A Python Library for Conformal Prediction
    2024/02/20 by Huang, Jianguo, Song, Jianqing, Zhou, Xuanning +2 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistics Theory (math.ST)
  16. Open-Vocabulary Calibration for Fine-tuned CLIP
    2024/02/07 by Wang, Shuoyuan, Wang, Jindong, Wang, Guoqing +3 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  17. Open-set Label Noise Can Improve Robustness Against Inherent Label Noise
    2021/06/21 by Wei, Hongxin, Tao, Lue, Xie, Renchunzi +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation
    2022/01/16 by Renchunzi Xie, Xie, Renchunzi, Hongxin Wei +5 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #Text and Document Classification Technologies
  19. Fine-tuning can Help Detect Pretraining Data from Large Language Models
    2024/10/09 by Zhang, Hengxiang, Songxin Zhang, Bing‐Yi Jing +4 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  20. Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets
    2022/06/17 by Wei, Hongxin, Tao, Lue, Xie, Renchunzi +2 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond
    2024/08/21 by Minghao Liu, Zengfeng Di, Liu, Minghao +29 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Data Analysis with R #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning
    2023/03/18 by Shiyu Tian, Hongxin Wei, Tian, Shiyu +5 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2 #Machine Learning (cs.LG) #Text and Document Classification Technologies
  23. Regression with Cost-based Rejection
    2023/11/08 by Cheng, Xin, Cao, Yuzhou, Wang, Haobo +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  24. Does confidence calibration improve conformal prediction?
    2024/02/06 by Xi, Huajun, Huang, Jianguo, Liu, Kangdao +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  25. Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
    2024/10/03 by Shuoyuan Wang, Wang, Shuoyuan, Yixuan Li +3 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Semantic Web and Ontologies
  26. Efficient Membership Inference Attacks by Bayesian Neural Network
    2025/03/10 by Liu, Zhenlong, Jiang, Wenyu, Zhou, Feng +1 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  27. Parametric Scaling Law of Tuning Bias in Conformal Prediction
    2025/02/05 by Zeng, Hao, Liu, Kangdao, Jing, Bingyi +1 · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Methodology (stat.ME) #Statistics Theory (math.ST)
  28. Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator
    2025/05/22 by Luo, Beier, Shuoyuan Wang, Wang, Shuoyuan +4 · 2 citations
    Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Topic Modeling #Machine Learning in Healthcare