Ruizhi Pu

20 papers A* 7A 1Journal 12
YearRankTypeTitle / Venue / Authors
2026 A* conf
Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure.
AAAI
Ruiyi Fang, Shuo Wang, Ruizhi Pu, Qiuhao Zeng, Hao Zheng, Ziyan Wang, Jiale Cai, Zhimin Mei, Song Tang, Charles Ling, Boyu Wang
2026 J jnl
Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure.
CoRR
Ruiyi Fang, Shuo Wang, Ruizhi Pu, Qiuhao Zeng, Hao Zheng, Ziyan Wang, Jiale Cai, Zhimin Mei, Song Tang, Charles Ling, Boyu Wang
2026 A* conf
Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning.
AAAI
Hao Zheng, Shiyu Song, Zhigang Hu, Meiguang Zheng, Liu Yang, Aikun Xu, Rongchang Zhao, Ruizhi Pu, Ruiyi Fang, 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
FedFMD: Fairness-Driven Adaptive Aggregation in Federated Learning via Mahalanobis Distance.
CIKM
Xiuting Weng, Lixing Yu, Shaojie Zhan, Ruizhi Pu, Xiaofei Liu
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
On the Benefits of Attribute-Driven Graph Domain Adaptation.
ICLR
Ruiyi Fang, Bingheng Li, Zhao Kang, Qiuhao Zeng, Nima Hosseini Dashtbayaz, Ruizhi Pu, Charles Ling, Boyu Wang
2025 J jnl
On the Benefits of Attribute-Driven Graph Domain Adaptation.
CoRR
Ruiyi Fang, Bingheng Li, Zhao Kang, Qiuhao Zeng, Nima Hosseini Dashtbayaz, Ruizhi Pu, Boyu Wang, Charles Ling
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
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 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
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
2021 J jnl
YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker.
CoRR
Ruizhi Pu, Xinyu Zhang, Ruofei Lai, Zikai Guo, Yinxia Zhang, Hao Jiang, Yongkang Wu, Yantao Jia, Zhicheng Dou, Zhao Cao