Zhen-Yu Zhang

According to our database, Zhen-Yu Zhang authored at least 19 papers between 2022 and 2025.

Collaborative distances:

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

2025

Handling New Class in Online Label Shift.

Yu-Yang Qian, Yong Bai, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou

IEEE Trans. Knowl. Data Eng., September, 2025

TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree.

Yu-Yang Qian, Yuan-Ze Xu, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou

CoRR, June, 2025

Unsupervised Classification for Circulating Tumor Cells.

Ling An, Haibo Hu, Mengke Song, Lin Cheng, Shuo Ba, Zhaocong Liu, Zhuohang Yu, Zhen-Yu Zhang, Yi Liu, Chichun Zhou

IEEE Access, 2025

Adapting to Generalized Online Label Shift by Invariant Representation Learning.

Yu-Yang Qian, Yi-Han Wang, Zhen-Yu Zhang, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Achieving Nearly-Optimal Regret and Sample Complexity in Dueling Bandits with Applications in Online Recommendations.

Lanjihong Ma, Yao-Xiang Ding, Zhen-Yu Zhang, Zhi-Hua Zhou

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Learning View-invariant World Models for Visual Robotic Manipulation.

Jing-Cheng Pang, Nan Tang, Kaiyuan Li, Yuting Tang, Xin-Qiang Cai, Zhen-Yu Zhang, Gang Niu, Masashi Sugiyama, Yang Yu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Learning with Asynchronous Labels.

Yu-Yang Qian, Zhen-Yu Zhang, Peng Zhao, Zhi-Hua Zhou

ACM Trans. Knowl. Discov. Data, September, 2024

An innovative unsupervised gait recognition based tracking system for safeguarding large-scale nature reserves in complex terrain.

Chichun Zhou, Xiaolin Guan, Zhuohang Yu, Yao Shen, Zhen-Yu Zhang, Junjie Gu

Expert Syst. Appl., 2024

On Unsupervised Prompt Learning for Classification with Black-box Language Models.

Zhen-Yu Zhang, Jiandong Zhang, Huaxiu Yao, Gang Niu, Masashi Sugiyama

CoRR, 2024

Generating Chain-of-Thoughts with a Direct Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought.

Zhen-Yu Zhang, Siwei Han, Huaxiu Yao, Gang Niu, Masashi Sugiyama

CoRR, 2024

Unsupervised Real Time and Early Anomalies Detection Method for Sewer Networks Systems.

Chun-Ming Qiu, Guo-Xiang Shao, Zhen-Yu Zhang, Chichun Zhou, Yue-Jie Hou, En-Ming Zhao, Xiao Guo, Xiaolin Guan

IEEE Access, 2024

Test-time Adaptation in Non-stationary Environments via Adaptive Representation Alignment.

Zhen-Yu Zhang, Zhiyu Xie, Huaxiu Yao, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Handling Varied Objectives by Online Decision Making.

Lanjihong Ma, Zhen-Yu Zhang, Yao-Xiang Ding, Zhi-Hua Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought.

Zhen-Yu Zhang, Siwei Han, Huaxiu Yao, Gang Niu, Masashi Sugiyama

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Adapting to Continuous Covariate Shift via Online Density Ratio Estimation.

Yu-Jie Zhang, Zhen-Yu Zhang, Peng Zhao, Masashi Sugiyama

CoRR, 2023

Adapting to Continuous Covariate Shift via Online Density Ratio Estimation.

Yu-Jie Zhang, Zhen-Yu Zhang, Peng Zhao, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Learning From Incomplete and Inaccurate Supervision.

Zhen-Yu Zhang, Peng Zhao, Yuan Jiang, Zhi-Hua Zhou

IEEE Trans. Knowl. Data Eng., 2022

Early Abnormal Detection of Sewage Pipe Network: Bagging of Various Abnormal Detection Algorithms.

Zhen-Yu Zhang, Guo-Xiang Shao, Chun-Ming Qiu, Yue-Jie Hou, En-Ming Zhao, Chi-Chun Zhou

CoRR, 2022

Adaptive Learning for Weakly Labeled Streams.

Zhen-Yu Zhang, Yu-Yang Qian, Yu-Jie Zhang, Yuan Jiang, Zhi-Hua Zhou

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022