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ORCIDTianchen Zhou
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2020 – today
- 2024
[j3]Zijian Xiao
, Tianchen Zhou, Li Yao:
LGSur-Net: A Local Gaussian Surface Representation Network for Upsampling Highly Sparse Point Cloud. Comput. Graph. Forum 43(7): i-xxii (2024)- [j2]Yanhao Wang, Tianchen Zhou, Cen Chen, Yinggui Wang:
Federated Submodular Maximization With Differential Privacy. IEEE Internet Things J. 11(2): 1827-1839 (2024) - [j1]Yaofeng Song, Ruikang Luo, Tianchen Zhou, Changgen Zhou, Rong Su:
Graph Attention Informer for Long-Term Traffic Flow Prediction under the Impact of Sports Events. Sensors 24(15): 4796 (2024) - [c6]Tianchen Zhou, Hairi, Haibo Yang, Jia Liu, Tian Tong, Fan Yang, Michinari Momma, Yan Gao:
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning. ICML 2024 - [c5]Yi Yu, Shengyue Yao, Tianchen Zhou, Yexuan Fu, Jingru Yu, Ding Wang, Xuhong Wang, Cen Chen, Yilun Lin:
Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense. IV 2024: 521-526 - [c4]Tianchen Zhou, Jiateng Liu, Yue Jin, Li Yao:
MicroMamba: State Space Model with Partitioned Window Scan for Micro-Expression Recognition. MMAsia 2024: 24:1-24:7 - [i7]Tianchen Zhou, Hairi, Haibo Yang, Jia Liu, Tian Tong, Fan Yang, Michinari Momma, Yan Gao:
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning. CoRR abs/2405.03082 (2024) - [i6]Yi Yu, Shengyue Yao, Tianchen Zhou, Yexuan Fu, Jingru Yu, Ding Wang, Xuhong Wang, Cen Chen, Yilun Lin:
Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense. CoRR abs/2407.00995 (2024) - 2023
- [i5]Tianchen Zhou, Zhanyi Hu, Bingzhe Wu, Cen Chen:
SLPerf: a Unified Framework for Benchmarking Split Learning. CoRR abs/2304.01502 (2023) - [i4]Minghe Zhang, Chaosheng Dong, Jinmiao Fu, Tianchen Zhou, Jia Liang, Jia Liu, Bo Liu, Michinari Momma, Bryan Wang, Yan Gao, Yi Sun:
AdaSelection: Accelerating Deep Learning Training through Data Subsampling. CoRR abs/2306.10728 (2023) - [i3]Tianchen Zhou, Jia Liu, Yang Jiao, Chaosheng Dong, Yetian Chen, Yan Gao, Yi Sun:
Bandit Learning to Rank with Position-Based Click Models: Personalized and Equal Treatments. CoRR abs/2311.04528 (2023) - 2022
- [c3]Binghui Wang, Tianchen Zhou, Song Li, Yinzhi Cao, Neil Zhenqiang Gong:
GraphTrack: A Graph-based Cross-Device Tracking Framework. AsiaCCS 2022: 82-96 - [c2]Tianchen Zhou, Jia Liu, Chaosheng Dong, Yi Sun:
Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences. ICLR 2022 - [i2]Binghui Wang, Tianchen Zhou, Song Li, Yinzhi Cao, Neil Zhenqiang Gong:
GraphTrack: A Graph-based Cross-Device Tracking Framework. CoRR abs/2203.06833 (2022) - 2021
- [c1]Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng:
Incentivized Bandit Learning with Self-Reinforcing User Preferences. ICML 2021: 12824-12834 - [i1]Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng:
Incentivized Bandit Learning with Self-Reinforcing User Preferences. CoRR abs/2105.08869 (2021)
Coauthor Index
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