Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed. - Yubin Xiao; Di Wang 004; Boyang Li 001; Mingzhao Wang; Xuan Wu 004; Changliang Zhou; You Zhou 008 (AAAI, 2024)

UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems. - Zhi Zheng 009; Changliang Zhou; Xialiang Tong; Mingxuan Yuan; Zhenkun Wang 001 (NeurIPS, 2024)

Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization. - Changliang Zhou; Xi Lin 001; Zhenkun Wang 001; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (CoRR, 2024)

L2R: Learning to Reduce Search Space for Generalizable Neural Routing Solver. - Changliang Zhou; Xi Lin 001; Zhenkun Wang 001; Qingfu Zhang 001 (CoRR, 2025)