Xialiang, Tong

7 publications

ICLR 2026 A Hierarchical Circuit Symbolic Discovery Framework for Efficient Logic Optimization Yinqi Bai, Jie Wang, Tong Xialiang, Longdi Pan, Jilai Pan, Mingxuan Yuan, Jianye Hao

ICLR 2026 Multimodal LLM-Assisted Evolutionary Search for Programmatic Control Policies Qinglong Hu, Tong Xialiang, Mingxuan Yuan, Fei Liu, Zhichao Lu, Qingfu Zhang

ICLR 2026 Why Attention Patterns Exist: A Unifying Temporal Perspective Analysis Qingyue Yang, Jie Wang, Xing Li, Yinqi Bai, Tong Xialiang, Hui-Ling Zhen, Jianye Hao, Mingxuan Yuan, Bin Li

ICLR 2025 Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems Fu Luo, Xi Lin, Yaoxin Wu, Zhenkun Wang, Tong Xialiang, Mingxuan Yuan, Qingfu Zhang

ICML 2024 DPN: Decoupling Partition and Navigation for Neural Solvers of Min-Max Vehicle Routing Problems Zhi Zheng, Shunyu Yao, Zhenkun Wang, Tong Xialiang, Mingxuan Yuan, Ke Tang

ICML 2024 Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model Fei Liu, Tong Xialiang, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang

NeurIPS 2021 A Hierarchical Reinforcement Learning Based Optimization Framework for Large-Scale Dynamic Pickup and Delivery Problems Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Tong Xialiang, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng