Gezheng Xu

25 papers A* 8Journal 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Baguan-TS: A Sequence-Native In-Context Learning Model for Time Series Forecasting with Covariates.
CoRR
Linxiao Yang, Xue Jiang, Gezheng Xu, Tian Zhou, Min Yang, Zhaoyang Zhu, Linyuan Geng, Zhipeng Zeng, Qiming Chen, Xinyue Gu, Rong Jin, Liang Sun
2026 J jnl
When Priors Backfire: On the Vulnerability of Unlearnable Examples to Pretraining.
CoRR
Zhihao Li, Gezheng Xu, Jiale Cai, Ruiyi Fang, Di Wu, Qicheng Lao, Charles X. Ling, Boyu Wang
2025 J jnl
FedELR: When federated learning meets learning with noisy labels.
Neural Networks
Ruizhi Pu, Lixing Yu, Shaojie Zhan, Gezheng Xu, Fan Zhou, Charles X. Ling, Boyu Wang
2025 A* conf
Homophily Enhanced Graph Domain Adaptation.
ICML
Ruiyi Fang, Bingheng Li, Jingyu Zhao, Ruizhi Pu, Qiuhao Zeng, Gezheng Xu, Charles Ling, Boyu Wang
2025 J jnl
Homophily Enhanced Graph Domain Adaptation.
CoRR
Ruiyi Fang, Bingheng Li, Jingyu Zhao, Ruizhi Pu, Qiuhao Zeng, Gezheng Xu, Charles Ling, Boyu Wang
2025 A* conf
Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression.
AAAI
Ruizhi Pu, Gezheng Xu, Ruiyi Fang, Bingkun Bao, Charles Ling, Boyu Wang
2025 A* conf
Revisiting Source-Free Domain Adaptation: a New Perspective via Uncertainty Control.
ICLR
Gezheng Xu, Hui Guo, Li Yi, Charles Ling, Boyu Wang, Grace Yi
2025 J jnl
Uniform Noise Distribution and Compact Clusters: Unveiling the Success of Self-Supervised Learning in Label Noise.
Trans. Mach. Learn. Res.
Pengcheng Xu, Li Yi, Gezheng Xu, Xi Chen, A. Ian McLeod, Charles Ling, Boyu Wang
2025 J jnl
Unraveling the Mysteries of Label Noise in Source-Free Domain Adaptation: Theory and Practice.
IEEE Trans. Pattern Anal. Mach. Intell.
Gezheng Xu, Li Yi, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Changjian Shui, A. Ian McLeod, Boyu Wang, Charles Ling
2025 A* conf
ZETA: Leveraging Z-order Curves for Efficient Top-k Attention.
ICLR
Qiuhao Zeng, Jerry Huang, Peng Lu, Gezheng Xu, Boxing Chen, Charles Ling, Boyu Wang
2025 J jnl
ZETA: Leveraging Z-order Curves for Efficient Top-k Attention.
CoRR
Qiuhao Zeng, Jerry Huang, Peng Lu, Gezheng Xu, Boxing Chen, Charles Ling, Boyu Wang
2024 A* conf
Generalizing across Temporal Domains with Koopman Operators.
AAAI
Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Charles X. Ling, Boyu Wang
2024 J jnl
Generalizing across Temporal Domains with Koopman Operators.
CoRR
Qiuhao Zeng, Wei Wang, Fan Zhou, Gezheng Xu, Ruizhi Pu, Changjian Shui, Christian Gagné, Shichun Yang, Boyu Wang, Charles X. Ling
2024 A* conf
Intersectional Unfairness Discovery.
ICML
Gezheng Xu, Qi Chen, Charles Ling, Boyu Wang, Changjian Shui
2024 J jnl
Intersectional Unfairness Discovery.
CoRR
Gezheng Xu, Qi Chen, Charles Ling, Boyu Wang, Changjian Shui
2024 J jnl
Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression.
CoRR
Ruizhi Pu, Gezheng Xu, Ruiyi Fang, Binkun Bao, Charles X. Ling, Boyu Wang
2023 J jnl
Gap Minimization for Knowledge Sharing and Transfer.
J. Mach. Learn. Res.
Boyu Wang, Jorge A. Mendez, Changjian Shui, Fan Zhou, Di Wu, Gezheng Xu, Christian Gagné, Eric Eaton
2023 J jnl
Label shift conditioned hybrid querying for deep active learning.
Knowl. Based Syst.
Jiaqi Li, Haojia Kong, Gezheng Xu, Changjian Shui, Ruizhi Pu, Zhao Kang, Charles X. Ling, Boyu Wang
2023 J jnl
Towards More General Loss and Setting in Unsupervised Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Changjian Shui, Ruizhi Pu, Gezheng Xu, Jun Wen, Fan Zhou, Christian Gagné, Charles X. Ling, Boyu Wang
2023 A* conf
When Source-Free Domain Adaptation Meets Learning with Noisy Labels.
ICLR
Li Yi, Gezheng Xu, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Charles Ling, A. Ian McLeod, Boyu Wang
2023 J jnl
When Source-Free Domain Adaptation Meets Learning with Noisy Labels.
CoRR
Li Yi, Gezheng Xu, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Charles Ling, A. Ian McLeod, Boyu Wang
2022 J jnl
Evolving Domain Generalization.
CoRR
William Wei Wang, Gezheng Xu, Ruizhi Pu, Jiaqi Li, Fan Zhou, Changjian Shui, Charles X. Ling, Christian Gagné, Boyu Wang
2022 A* conf
On Learning Fairness and Accuracy on Multiple Subgroups.
NeurIPS
Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles X. Ling, Tal Arbel, Boyu Wang, Christian Gagné
2022 J jnl
On Learning Fairness and Accuracy on Multiple Subgroups.
CoRR
Changjian Shui, Gezheng Xu, Qi Chen, Jiaqi Li, Charles Ling, Tal Arbel, Boyu Wang, Christian Gagné
2021 J jnl
External features enriched model for biomedical question answering.
BMC Bioinform.
Gezheng Xu, Wenge Rong, Yanmeng Wang, Yuanxin Ouyang, Zhang Xiong