Tianchen Zhou

27 papers A* 3A 1B 2C 1Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Owen-Shapley Policy Optimization (OSPO): A Principled RL Algorithm for Generative Search LLMs.
CoRR
Abhijnan Nath, Alireza Bagheri Garakani, Tianchen Zhou, Fan Yang, Nikhil Krishnaswamy
2025 J jnl
A Review and Experimental Evaluation on Split Learning.
Future Internet
Zhanyi Hu, Tianchen Zhou, Bingzhe Wu, Cen Chen, Yanhao Wang
2025 B conf
AgentStory: A Multi-Agent System for Story Visualization with Multi-Subject Consistent Text-to-Image Generation.
ICMR
Tianchen Zhou, Zhongjie Duan, Cen Chen, Wenmeng Zhou, Yanhao Wang, Yaliang Li
2025 J jnl
Dueling Network Architecture for GNN in the Deep Reinforcement Learning for the Automated ICT System Design.
IEEE Access
Tianchen Zhou, Yutaka Yakuwa, Natsuki Okamura, Hiroyuki Hochigai, Takayuki Kuroda, Ikuko Eguchi Yairi
2025 — conf
Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach.
CDC
Hairi, Yang Jiao, Tianchen Zhou, Haibo Yang, Chaosheng Dong, Fan Yang, Michinari Momma, Yan Gao, Jia Liu
2025 J jnl
Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach.
CoRR
Hairi, Jiao Yang, Tianchen Zhou, Haibo Yang, Chaosheng Dong, Fan Yang, Michinari Momma, Yan Gao, Jia Liu
2025 J jnl
Large Language Model-Enhanced Reinforcement Learning for Diverse and Novel Recommendations.
CoRR
Jiin Woo, Alireza Bagheri Garakani, Tianchen Zhou, Zhishen Huang, Yan Gao
2025 — conf
PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems.
WWW (Companion Volume)
Mingdai Yang, Fan Yang, Yanhui Guo, Shaoyuan Xu, Tianchen Zhou, Yetian Chen, Simone Shao, Jia Liu, Yan Gao
2025 J jnl
PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems.
CoRR
Mingdai Yang, Fan Yang, Yanhui Guo, Shaoyuan Xu, Tianchen Zhou, Yetian Chen, Simone Shao, Jia Liu, Yan Gao
2025 B conf
SCGS: Interactive Scale-Controlled 3D Object Segmentation with Gaussian Splatting.
IJCNN
Yue Jin, Yilong Liu, Yuanyang Zhang, Tianchen Zhou, Lina Yao
2025 — conf
SLPerf: A Research Library and Benchmark Framework for Split Learning.
ICDEW
Zhanyi Hu, Tianchen Zhou, Bingzhe Wu, Cen Chen, Yanhao Wang
2024 C conf
Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense.
IV
Yi Yu, Shengyue Yao, Tianchen Zhou, Yexuan Fu, Jingru Yu, Ding Wang, Xuhong Wang, Cen Chen, Yilun Lin
2024 J jnl
Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense.
CoRR
Yi Yu, Shengyue Yao, Tianchen Zhou, Yexuan Fu, Jingru Yu, Ding Wang, Xuhong Wang, Cen Chen, Yilun Lin
2024 J jnl
Federated Submodular Maximization With Differential Privacy.
IEEE Internet Things J.
Yanhao Wang, Tianchen Zhou, Cen Chen, Yinggui Wang
2024 A* conf
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning.
ICML
Tianchen Zhou, Hairi, Haibo Yang, Jia Liu, Tian Tong, Fan Yang, Michinari Momma, Yan Gao
2024 J jnl
Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning.
CoRR
Tianchen Zhou, Hairi, Haibo Yang, Jia Liu, Tian Tong, Fan Yang, Michinari Momma, Yan Gao
2024 J jnl
Graph Attention Informer for Long-Term Traffic Flow Prediction under the Impact of Sports Events.
Sensors
Yaofeng Song, Ruikang Luo, Tianchen Zhou, Changgen Zhou, Rong Su
2024 J jnl
LGSur-Net: A Local Gaussian Surface Representation Network for Upsampling Highly Sparse Point Cloud.
Comput. Graph. Forum
Zijian Xiao, Tianchen Zhou, Li Yao
2024 — conf
MicroMamba: State Space Model with Partitioned Window Scan for Micro-Expression Recognition.
MMAsia
Tianchen Zhou, Jiateng Liu, Yue Jin, Li Yao
2023 J jnl
AdaSelection: Accelerating Deep Learning Training through Data Subsampling.
CoRR
Minghe Zhang, Chaosheng Dong, Jinmiao Fu, Tianchen Zhou, Jia Liang, Jia Liu, Bo Liu, Michinari Momma, Bryan Wang, Yan Gao, Yi Sun
2023 J jnl
Bandit Learning to Rank with Position-Based Click Models: Personalized and Equal Treatments.
CoRR
Tianchen Zhou, Jia Liu, Yang Jiao, Chaosheng Dong, Yetian Chen, Yan Gao, Yi Sun
2023 J jnl
SLPerf: a Unified Framework for Benchmarking Split Learning.
CoRR
Tianchen Zhou, Zhanyi Hu, Bingzhe Wu, Cen Chen
2022 A* conf
Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences.
ICLR
Tianchen Zhou, Jia Liu, Chaosheng Dong, Yi Sun
2022 A conf
GraphTrack: A Graph-based Cross-Device Tracking Framework.
AsiaCCS
Binghui Wang, Tianchen Zhou, Song Li, Yinzhi Cao, Neil Zhenqiang Gong
2022 J jnl
GraphTrack: A Graph-based Cross-Device Tracking Framework.
CoRR
Binghui Wang, Tianchen Zhou, Song Li, Yinzhi Cao, Neil Zhenqiang Gong
2021 A* conf
Incentivized Bandit Learning with Self-Reinforcing User Preferences.
ICML
Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng
2021 J jnl
Incentivized Bandit Learning with Self-Reinforcing User Preferences.
CoRR
Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng