Ruizhi Pu

According to our database, Ruizhi Pu authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Not All Tokens Are Worth Caching: Learning Semantic-Aware Eviction for LLM Prefix Caches.

Shaoke Fang, Ziang Li, Wenfei Wu, Jiatong Ji, Qingsong Liu, Ruizhi Pu

CoRR, May, 2026

Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning.

Hao Zheng, Shiyu Song, Zhigang Hu, Meiguang Zheng, Liu Yang, Aikun Xu, Rongchang Zhao, Ruizhi Pu, Ruiyi Fang, Boyu Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure.

Ruiyi Fang, Shuo Wang, Ruizhi Pu, Qiuhao Zeng, Hao Zheng, Ziyan Wang, Jiale Cai, Zhimin Mei, Song Tang, Charles Ling, Boyu Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Unraveling the Mysteries of Label Noise in Source-Free Domain Adaptation: Theory and Practice.

Gezheng Xu, Li Yi, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Changjian Shui, A. Ian McLeod, Boyu Wang, Charles Ling

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

FedELR: When federated learning meets learning with noisy labels.

Ruizhi Pu, Lixing Yu, Shaojie Zhan, Gezheng Xu, Fan Zhou, Charles X. Ling, Boyu Wang

Neural Networks, 2025

Homophily Enhanced Graph Domain Adaptation.

Ruiyi Fang, Bingheng Li, Jingyu Zhao, Ruizhi Pu, Qiuhao Zeng, Gezheng Xu, Charles Ling, Boyu Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

On the Benefits of Attribute-Driven Graph Domain Adaptation.

Ruiyi Fang, Bingheng Li, Zhao Kang, Qiuhao Zeng, Nima Hosseini Dashtbayaz, Ruizhi Pu, Charles Ling, Boyu Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FedFMD: Fairness-Driven Adaptive Aggregation in Federated Learning via Mahalanobis Distance.

Xiuting Weng, Lixing Yu, Shaojie Zhan, Ruizhi Pu, Xiaofei Liu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression.

Ruizhi Pu, Gezheng Xu, Ruiyi Fang, Bingkun Bao, Charles Ling, Boyu Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression.

Ruizhi Pu, Gezheng Xu, Ruiyi Fang, Binkun Bao, Charles X. Ling, Boyu Wang

CoRR, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards More General Loss and Setting in Unsupervised Domain Adaptation.

Changjian Shui, Ruizhi Pu, Gezheng Xu, Jun Wen, Fan Zhou, Christian Gagné, Charles X. Ling, Boyu Wang

IEEE Trans. Knowl. Data Eng., October, 2023

Label shift conditioned hybrid querying for deep active learning.

Jiaqi Li, Haojia Kong, Gezheng Xu, Changjian Shui, Ruizhi Pu, Zhao Kang, Charles X. Ling, Boyu Wang

Knowl. Based Syst., 2023

When Source-Free Domain Adaptation Meets Learning with Noisy Labels.

Li Yi, Gezheng Xu, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Charles Ling, A. Ian McLeod, Boyu Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Evolving Domain Generalization.

William Wei Wang, Gezheng Xu, Ruizhi Pu, Jiaqi Li, Fan Zhou, Changjian Shui, Charles X. Ling, Christian Gagné, Boyu Wang

CoRR, 2022

2021

YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker.

Ruizhi Pu, Xinyu Zhang, Ruofei Lai, Zikai Guo, Yinxia Zhang, Hao Jiang, Yongkang Wu, Yantao Jia, Zhicheng Dou, Zhao Cao

CoRR, 2021