Tianchen Zhou

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach.
CoRR, July, 2025

Large Language Model-Enhanced Reinforcement Learning for Diverse and Novel Recommendations.
CoRR, July, 2025

A Review and Experimental Evaluation on Split Learning.
Future Internet, 2025

Dueling Network Architecture for GNN in the Deep Reinforcement Learning for the Automated ICT System Design.
IEEE Access, 2025

PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

AgentStory: A Multi-Agent System for Story Visualization with Multi-Subject Consistent Text-to-Image Generation.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

SLPerf: A Research Library and Benchmark Framework for Split Learning.
Proceedings of the 41st IEEE International Conference on Data Engineering, ICDE 2025, 2025

2024
LGSur-Net: A Local Gaussian Surface Representation Network for Upsampling Highly Sparse Point Cloud.
Comput. Graph. Forum, October, 2024

Graph Attention Informer for Long-Term Traffic Flow Prediction under the Impact of Sports Events.
Sensors, August, 2024

Federated Submodular Maximization With Differential Privacy.
IEEE Internet Things J., January, 2024

MicroMamba: State Space Model with Partitioned Window Scan for Micro-Expression Recognition.
Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Bandit Learning to Rank with Position-Based Click Models: Personalized and Equal Treatments.
CoRR, 2023

AdaSelection: Accelerating Deep Learning Training through Data Subsampling.
CoRR, 2023

SLPerf: a Unified Framework for Benchmarking Split Learning.
CoRR, 2023

2022
Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences.
Proceedings of the Tenth International Conference on Learning Representations, 2022

GraphTrack: A Graph-based Cross-Device Tracking Framework.
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

2021
Incentivized Bandit Learning with Self-Reinforcing User Preferences.
Proceedings of the 38th International Conference on Machine Learning, 2021


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