I am a first-year PhD student in CVAIL Lab of department of computer science, The University of Hong Kong fortunately supervised by Prof.Hengshuang Zhao. Prior to this, I received my Master and Bachelor degree from Tongji University fortunately supervised by Prof.Cairong Zhao. My current research mainly focuses on robust learning (i.e., noisy labels), open-world/zero-shot perception, and label-efficient learning. Feel free to shoot an email to discuss with me if you have any idea in these areas. Email  /  Google Scholar  /  Github |
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Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection
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Self-supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes
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Learning from noisy labels with decoupled meta label purifier
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Learning with Noisy labels via Self-supervised Adversarial Noisy Masking
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Learning from noisy labels with coarse-to-fine sample credibility modeling
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Domain Camera Adaptation and Collaborative Multiple Feature Clustering for Unsupervised Person Re-ID
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Salience-guided iterative asymmetric mutual hashing for fast person re-identification
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