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2026 顶会论文

作者位次 #5/7ICLR 2026Poster· Optimization / Learning for Optimization

RRNCO: Towards Real-World Routing with Neural Combinatorial Optimization

Jiwoo Son · Zhikai Zhao · Federico Berto · Chuanbo Hua · Zhiguang Cao · Changhyun Kwon · Jinkyoo Park

OpenReview

作者位次 #4/4ICLR 2026Poster· Optimization / Learning for Optimization

Chain-of-Context Learning: Dynamic Constraint Understanding for Multi-Task VRPs

Shuangchun Gui · Suyu Liu · Xuehe Wang · Zhiguang Cao

OpenReview

作者位次 #4/4ICLR 2026Poster· Optimization / Learning for Optimization

RADAR: Learning to Route with Asymmetry-aware Distance Representations

Hang Yi · Ziwei Huang · Yining Ma · Zhiguang Cao

可解释性OpenReview

作者位次 #3/3ICLR 2026Poster· Optimization / Everything Else

Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM

Rongjie Zhu · Cong Zhang · Zhiguang Cao

强化学习与后训练检索与知识OpenReview

作者位次 #6/7ICLR 2026Poster· Theory / Optimization

Generalizable Heuristic Generation Through LLMs with Meta-Optimization

Yiding Shi · Jianan Zhou · Wen Song · Jieyi Bi · Yaoxin Wu · Zhiguang Cao · Jie Zhang

理论与学习动力学OpenReview

作者位次 #2/8ICLR 2026Poster· Theory / Optimization

Towards Efficient Constraint Handling in Neural Solvers for Routing Problems

Jieyi Bi · Zhiguang Cao · Jianan Zhou · Wen Song · Yaoxin Wu · Jie Zhang · Yining Ma · Cathy Wu

效率与系统理论与学习动力学OpenReview

作者位次 #2/5ICLR 2026Poster· Optimization / Everything Else

An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems

Ni Zhang · Zhiguang Cao · Jianan Zhou · Cong Zhang · Yew-Soon Ong

智能体与工具OpenReview

作者位次 #4/4ICLR 2026Poster· Optimization / Learning for Optimization

RESCHED: Rethinking Flexible Job Shop Scheduling from a Transformer-based Architecture with Simplified States

Xiangjie Xiao · Cong Zhang · Wen Song · Zhiguang Cao

长上下文与架构OpenReview

作者位次 #2/7KDD 2026Oral· Knowledge Discovery & Data Mining

Learning to Handle Constrained Routing Problems From a Decoupling Perspective

Rui Cao · Zhiguang Cao · Yihan Huang · Jiaqi Wang · Yuan Jiang · Yubin Xiao · You Zhou

检索与知识OpenReview

作者位次 #3/4KDD 2026Oral· Knowledge Discovery & Data Mining

AGDN: Learning to Solve Traveling Salesman Problem with Anisotropic Graph Diffusion Network

Bolin Shen · Ziwei Huang · Zhiguang Cao · Yushun Dong

检索与知识OpenReview

作者位次 #2/4AAAI 2026Poster· Artificial Intelligence

Scale-Net: A Hierarchical U-Net Framework for Cross-Scale Generalization in Multi-Task Vehicle Routing

Suyu Liu · Zhiguang Cao · nan yin · Yew-Soon Ong

理论与学习动力学OpenReview

作者位次 #6/8AAAI 2026Poster· Artificial Intelligence

Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation

Jianghan Zhu · Yaoxin Wu · Zhuoyi Lin · Zhengyuan Zhang · Haiyan Yin · Zhiguang Cao · Senthilnath Jayavelu · Xiaoli Li

OpenReview

作者位次 #3/4AAAI 2026Poster· Artificial Intelligence

Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering

Chen Wang · Yue-Jiao Gong · Zhiguang Cao · Zeyuan Ma

OpenReview

Zhiguang Cao

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2026 顶会论文

RRNCO: Towards Real-World Routing with Neural Combinatorial Optimization

Chain-of-Context Learning: Dynamic Constraint Understanding for Multi-Task VRPs

RADAR: Learning to Route with Asymmetry-aware Distance Representations

Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM

Generalizable Heuristic Generation Through LLMs with Meta-Optimization

Towards Efficient Constraint Handling in Neural Solvers for Routing Problems

An Agentic Framework with LLMs for Solving Complex Vehicle Routing Problems

RESCHED: Rethinking Flexible Job Shop Scheduling from a Transformer-based Architecture with Simplified States

Learning to Handle Constrained Routing Problems From a Decoupling Perspective

AGDN: Learning to Solve Traveling Salesman Problem with Anisotropic Graph Diffusion Network

Scale-Net: A Hierarchical U-Net Framework for Cross-Scale Generalization in Multi-Task Vehicle Routing

Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation

Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering

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