Xu, Gezheng

11 publications

ICML 2025 Homophily Enhanced Graph Domain Adaptation Ruiyi Fang, Bingheng Li, Jingyu Zhao, Ruizhi Pu, Qiuhao Zeng, Gezheng Xu, Charles Ling, Boyu Wang

AAAI 2025 Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression Ruizhi Pu, Gezheng Xu, Ruiyi Fang, Bingkun Bao, Charles Ling, Boyu Wang

ICLR 2025 Revisiting Source-Free Domain Adaptation: A New Perspective via Uncertainty Control Gezheng Xu, Hui Guo, Li Yi, Charles Ling, Boyu Wang, Grace Yi

TMLR 2025 Uniform Noise Distribution and Compact Clusters: Unveiling the Success of Self-Supervised Learning in Label Noise Pengcheng Xu, Li Yi, Gezheng Xu, Xi Chen, Ian McLeod, Charles Ling, Boyu Wang

NeurIPS 2025 Versatile Transferable Unlearnable Example Generator Zhihao Li, Jiale Cai, Gezheng Xu, Hao Zheng, Qiuyue Li, Fan Zhou, Shichun Yang, Charles Ling, Boyu Wang

ICLR 2025 ZETA: Leveraging $z$-Order Curves for Efficient Top-$k$ Attention Qiuhao Zeng, Jerry Huang, Peng Lu, Gezheng Xu, Boxing Chen, Charles Ling, Boyu Wang

AAAI 2024 Generalizing Across Temporal Domains with Koopman Operators Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles X. Ling, Boyu Wang

ICML 2024 Intersectional Unfairness Discovery Gezheng Xu, Qi Chen, Charles Ling, Boyu Wang, Changjian Shui

JMLR 2023 Gap Minimization for Knowledge Sharing and Transfer Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton

ICLR 2023 When Source-Free Domain Adaptation Meets Learning with Noisy Labels Li Yi, Gezheng Xu, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Charles Ling, Ian McLeod, Boyu Wang

NeurIPS 2022 On Learning Fairness and Accuracy on Multiple Subgroups Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles X. Ling, Tal Arbel, Boyu Wang, Christian Gagné