activity
20232026
most citedAdjustable Robust Reinforcement Learning for Online 3D Bin Packing

3 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Starve to Perceive: Taming Lazy Perception in VLMs with Constrained Visual Bandwidth

Yuhuan Wu, Cong Wei, Fangzhen Lin +2

Vision-Language Models (VLMs) deployed as situated agents in high-resolution visual environments require active perception -- the ability to dynamically decide where to look throug…

cs.AI2025

A Computable Game-Theoretic Framework for Multi-Agent Theory of Mind

Fengming Zhu, Yuxin Pan, Xiaomeng Zhu +1

Originating in psychology, (ToM) has attracted significant attention across multiple research communities, especially logic, economics, and robotics. Most…

cs.AI2025

Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP

Yuxin Pan, Zhiguang Cao, Chengyang Gu +4

Existing neural methods for multi-task vehicle routing problems (VRPs) typically learn unified solvers to handle multiple constraints simultaneously. However, they often underutili…

cs.LG2025

Hierarchical Learning-based Graph Partition for Large-scale Vehicle Routing Problems

Yuxin Pan, Ruohong Liu, Yize Chen +2

Neural solvers based on the divide-and-conquer approach for Vehicle Routing Problems (VRPs) in general, and capacitated VRP (CVRP) in particular, integrates the global partition of…

cs.LG2023★ 3 cited

Adjustable Robust Reinforcement Learning for Online 3D Bin Packing

Yuxin Pan, Yize Chen, Fangzhen Lin

Designing effective policies for the online 3D bin packing problem (3D-BPP) has been a long-standing challenge, primarily due to the unpredictable nature of incoming box sequences…