Ye Han
Scholar

Ye Han

Google Scholar ID: I_ZzjRcAAAAJ
Doctor Candidate, Tongji University
Artifical IntelligenceReinforcement LearningAutonomous DrivingDecision MakingGame Theory
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Citations & Impact
All-time
Citations
8
 
H-index
2
 
i10-index
0
 
Publications
5
 
Co-authors
0
 
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Publications
7 items
Mozart: Modularized and Efficient MoE Training on 3.5D Wafer-Scale Chiplet Architectures
2026
Cited
0
Hybrid Differential Reward: Combining Temporal Difference and Action Gradients for Efficient Multi-Agent Reinforcement Learning in Cooperative Driving
2025
Cited
0
RTGS: Real-Time 3D Gaussian Splatting SLAM via Multi-Level Redundancy Reduction
2025
Cited
0
Topology Enhanced MARL for Multi-Vehicle Cooperative Decision-Making of CAVs
2025
Cited
0
Prot2Token: A Unified Framework for Protein Modeling via Next-Token Prediction
2025
Cited
0
A Differentiated Reward Method for Reinforcement Learning based Multi-Vehicle Cooperative Decision-Making Algorithms
2025
Cited
0
A Value Based Parallel Update MCTS Method for Multi-Agent Cooperative Decision Making of Connected and Automated Vehicles
arXiv.org · 2024
Cited
3
Resume (English only)
Co-authors
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Co-authors: 0 (list not available)