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Xiong Zhou Ph.D. student Computer Science and Technology School of Computer Science and Technology Harbin Institute of Technology Email: cszx@hit.edu.cn |
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CV | Google Scholar | GitHub | Papers | Research Statement | |
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| I am a Ph.D. student at Harbin Institute of Technology, advised by Prof. Xianming Liu. I obtained my B.E. from Harbin Institute of Technology. I study image processing, computer vision, and robust machine learning, especially learning with imperfect data. |
Publications
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Asymmetric Loss Functions for Learning with Noisy Labels Xiong Zhou, Xianming Liu*, Junjun Jiang, Xin Gao, Xiangyang Ji The 38-th International Conference on Machine Learning (ICML 2021)
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Learning with Noisy Labels via Sparse Regularization Xiong Zhou, Xianming Liu*, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji International Conference on Computer Vision (ICCV) 2021
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Learning Towards the Largest Margins Xiong Zhou, Xianming Liu*, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji International Conference on Learning Representations (ICLR) 2022
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Prototype-anchored Learning for Learning with Imperfect Annotations Xiong Zhou, Xianming Liu*, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji The 39-th International Conference on Machine Learning (ICML 2022)
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ReSmooth: Detecting and Utilizing OOD Samples When Training With Data Augmentation Chenyang Wang, Junjun Jiang*, Xiong Zhou, Xianming Liu IEEE Transactions on Neural Networks and Learning Systems (T-NNLS)
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Asymmetric Loss Functions for Noise-Tolerant Learning: Theory and Applications Xiong Zhou, Xianming Liu*, Deming Zhai, Junjun Jiang, Xiangyang Ji IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)
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On the Dynamics Under the Unhinged Loss and Beyond Xiong Zhou, Xianming Liu*, Hanzhang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji Journal of Machine Learning Research (JMLR)
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Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data Xiong Zhou, Xianming Liu*, Feilong Zhang, Gang Wu, Deming Zhai, Junjun Jiang, Xiangyang Ji International Conference on Learning Representations (ICLR) 2024
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Zero-Mean Regularized Spectral Contrastive Learning Xiong Zhou, Xianming Liu*, Hao Yu, Jialiang Wang, Zeke Xie, Junjun Jiang, Xiangyang Ji International Conference on Learning Representations (ICLR) 2024
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Neural Field Classifiers via Target Encoding and Classification Loss Xindi Yang, Zeke Xie, Xiong Zhou, Boyu Liu, Buhua Liu, Yi Liu, Haoran Wang, YUNFENG CAI, Mingming Sun International Conference on Learning Representations (ICLR) 2024
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Service
Reviewer or PC member: ICML 2022/2024, ICLR 2022/2023/2024, NeurIPS 2022/2023, CVPR 2024, T-PAMI, T-NNLS
Outstanding Reviewer at ICML 2022 (top 10%)
Awards
Tencent Scholarship, 2022
China National Scholarship, 2022
Silver Medal in the 29th Chinese Mathematical Olympiad (CMO)