Tong Xialiang

5 papers · 2021–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (10) 🏆 Grand Slam

Venues

ICML (2) AAAI (1) ICLR (1) NeurIPS (1)

Top co-authors

Mingxuan Yuan (5) Zhenkun Wang (3) Qingfu Zhang (3) Fu Luo (2) Fei Liu (2) Xi Lin (2) Xiaotian Hao (1) Jianye Hao (1) Shunyu Yao (1) Zhigang Li (1)

Research topics

Machine Learning (4) Artificial Intelligence (3) Core AI (3) Optimization & Theory (3) Reinforcement Learning (2) Learning Types (2) Methods (2) Deep Learning (1) Robotics (1) Applications (1) Architectures (1) Capabilities (1)

Keywords

large language model (2) combinatorial optimization (2) symmetry (1) hierarchical reinforcement learning (1) neural combinatorial optimization (1) loss function (1) travelling salesman problem (1) transformer network (1) evolutionary algorithm (1) vehicle routing (1) vehicle routing problem (1) evolutionary computation (1) automatic heuristic design (1) dynamic optimization (1) pickup and delivery (1) online bin packing (1) order dispatching (1) automated heuristic design (1) heuristic set (1) instance generalization (1)

Papers

EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design AAAI 2026 Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems ICLR 2025 DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems ICML 2024 Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model ICML 2024 A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems NeurIPS 2021