18 citations · 63 across the 27 of their papers we have counts for
28 papers
RideSkill: A Hierarchical Algorithm for Generalized Ride Sharing with LLM-Driven Automatic Evolution
Zijian Zhao, Sen Li, Xialiang Tong +1
Ride-sharing, which allows multiple passengers with different origin-destination (OD) pairs to share a single vehicle, is a challenging operational problem, as it requires orders w…
Optimizing Denoising Trajectories in dLLMs: A Lightweight Evolutionary Heuristic Approach
Zijian Zhao, Dian Jin, Xialiang Tong +2
Diffusion Large Language Models (dLLMs) have recently emerged as a promising alternative to conventional Auto-Regressive (AR) Large Language Models (LLMs). By leveraging bidirectio…
Low-Interaction-Rank Learning: Unifying Multiplicative Dual-Encoder Heads
Zijian Zhao, Sen Li
A multiplicative dual-encoder network computes a real-valued output for a pair of inputs as the inner product of their separate encodings. This architecture has been developed inde…
Is Per-Agent Policy Composition Safe? Rethinking Successor-Feature Transfer in Cooperative Multi-Agent Reinforcement Learning
Zijian Zhao, Sen Li
Many reinforcement learning systems, from fleet management to traffic signal control, must serve an objective that changes dynamically after deployment, and retraining a policy for…
Aggregate in the Advantage, Not the Ratio: A Canonical-Form Analysis of Cooperative Multi-Agent Policy Optimization
Zijian Zhao, Sen Li
Multi-agent policy optimization, exemplified by PPO-based methods, is a key branch of cooperative Multi-Agent Reinforcement Learning (MARL). A central design question is how many n…
RideGym: A Standardized Interface for Real-World Large-Scale Ride-Sharing System
Zijian Zhao, Yulong Hu, Sen Li
Ride-sharing has become an essential component of modern urban transportation and has attracted significant attention across computer science, transportation, and management scienc…