Hu, Yuzheng

11 publications

NeurIPS 2025 A Snapshot of Influence: A Local Data Attribution Framework for Online Reinforcement Learning Yuzheng Hu, Fan Wu, Haotian Ye, David Forsyth, James Zou, Nan Jiang, Jiaqi W. Ma, Han Zhao

ICML 2025 Empirical Privacy Variance Yuzheng Hu, Fan Wu, Ruicheng Xian, Yuhang Liu, Lydia Zakynthinou, Pritish Kamath, Chiyuan Zhang, David Forsyth

TMLR 2025 Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic Yifei He, Yuzheng Hu, Yong Lin, Tong Zhang, Han Zhao

NeurIPS 2025 MergeBench: A Benchmark for Merging Domain-Specialized LLMs Yifei He, Siqi Zeng, Yuzheng Hu, Rui Yang, Tong Zhang, Han Zhao

NeurIPS 2025 Taming Hyperparameter Sensitivity in Data Attribution: Practical Selection Without Costly Retraining Weiyi Wang, Junwei Deng, Yuzheng Hu, Shiyuan Zhang, Xirui Jiang, Runting Zhang, Han Zhao, Jiaqi W. Ma

NeurIPS 2024 Most Influential Subset Selection: Challenges, Promises, and Beyond Yuzheng Hu, Pingbang Hu, Han Zhao, Jiaqi W. Ma

NeurIPS 2023 Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective Yuzheng Hu, Ruicheng Xian, Qilong Wu, Qiuling Fan, Lang Yin, Han Zhao

ICML 2023 Understanding the Impact of Adversarial Robustness on Accuracy Disparity Yuzheng Hu, Fan Wu, Hongyang Zhang, Han Zhao

ICLR 2022 Actor-Critic Is Implicitly Biased Towards High Entropy Optimal Policies Yuzheng Hu, Ziwei Ji, Matus Telgarsky

ICLR 2022 Towards Understanding the Data Dependency of Mixup-Style Training Muthu Chidambaram, Xiang Wang, Yuzheng Hu, Chenwei Wu, Rong Ge

ICML 2020 Don’t Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript Fangcheng Fu, Yuzheng Hu, Yihan He, Jiawei Jiang, Yingxia Shao, Ce Zhang, Bin Cui