Tianyi Zhou 0001 - researchr alias

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Viewing Publication 1 - 17 from 17

2024

False Correlation Reduction for Offline Reinforcement LearningZhihong Deng, Zuyue Fu, Lingxiao Wang 0003, Zhuoran Yang, Chenjia Bai, Tianyi Zhou 0001, Zhaoran Wang 0001, Jing Jiang 0002. pami, 46(2):1199-1211, February 2024. [doi]

2023

Curriculum Learning: from Human Strategies to Learning DynamicsTianyi Zhou 0001. PhD thesis, University of Washington, USA, 2023. [doi]

How Many Demonstrations Do You Need for In-context Learning?Jiuhai Chen, Lichang Chen, Chen Zhu, Tianyi Zhou 0001. emnlp 2023: 11149-11159 [doi]

Merging Experts into One: Improving Computational Efficiency of Mixture of ExpertsShwai He, Run-Ze Fan, Liang Ding 0006, Li Shen, Tianyi Zhou 0001, Dacheng Tao. emnlp 2023: 14685-14691 [doi]

Eigensubspace of Temporal-Difference Dynamics and How It Improves Value Approximation in Reinforcement LearningQiang He, Tianyi Zhou 0001, Meng Fang, Setareh Maghsudi. pkdd 2023: 573-589 [doi]

Structured Cooperative Learning with Graphical Model PriorsShuangtong Li, Tianyi Zhou 0001, Xinmei Tian 0001, Dacheng Tao. icml 2023: 20599-20622 [doi]

Multi-center federated learning: clients clustering for better personalizationGuodong Long, Ming Xie, Tao Shen, Tianyi Zhou 0001, Xianzhi Wang 0001, Jing Jiang 0002. www, 26(1):481-500, January 2023. [doi]

Structured Federated Learning through Clustered Additive ModelingJie Ma, Tianyi Zhou 0001, Guodong Long, Jing Jiang 0002, Chengqi Zhang. nips 2023: [doi]

Continual Task Allocation in Meta-Policy Network via Sparse PromptingYijun Yang, Tianyi Zhou 0001, Jing Jiang 0002, Guodong Long, Yuhui Shi. icml 2023: 39623-39638 [doi]

Dual Personalization on Federated RecommendationChunxu Zhang, Guodong Long, Tianyi Zhou 0001, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang. IJCAI 2023: 4558-4566 [doi]

H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language ModelsZhenyu Zhang, Ying Sheng 0007, Tianyi Zhou 0001, Tianlong Chen, Lianmin Zheng, Ruisi Cai, Zhao Song 0002, Yuandong Tian, Christopher Ré, Clark W. Barrett, Zhangyang Wang, Beidi Chen. nips 2023: [doi]

Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream TasksHaiyan Zhao, Tianyi Zhou 0001, Guodong Long, Jing Jiang 0002, Chengqi Zhang. pkdd 2023: 52-68 [doi]

Does Continual Learning Equally Forget All Parameters?Haiyan Zhao, Tianyi Zhou 0001, Guodong Long, Jing Jiang, Chengqi Zhang. icml 2023: 42280-42303 [doi]

2022

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