Zhiguang Cao

Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation AAAI 2026 Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering AAAI 2026 Scale-Net: A Hierarchical U-Net Framework for Cross-Scale Generalization in Multi-Task Vehicle Routing AAAI 2026 Adversarial Generative Flow Network for Solving Vehicle Routing Problems ICLR 2025 A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver ICML 2025 ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning AAAI 2025 Coupling Category Alignment for Graph Domain Adaptation IJCAI 2025 DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning IJCAI 2025 DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem AAAI 2025 EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems IJCAI 2025 Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling ICLR 2025 Meta-Black-Box-Optimization through Offline Q-function Learning ICML 2025 Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion ICLR 2025 Preference-based Deep Reinforcement Learning for Historical Route Estimation IJCAI 2025 Rethinking Light Decoder-based Solvers for Vehicle Routing Problems ICLR 2025 Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding ICLR 2025 SHIELD: Multi-task Multi-distribution Vehicle Routing Solver with Sparsity and Hierarchy ICML 2025 Adaptive Stabilization Based on Machine Learning for Column Generation ICML 2024 Collaboration! Towards Robust Neural Methods for Routing Problems NeurIPS 2024 Cross-Problem Learning for Solving Vehicle Routing Problems IJCAI 2024 Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling ICLR 2024 GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time AAAI 2024 Learning to Handle Complex Constraints for Vehicle Routing Problems NeurIPS 2024 Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem UAI 2024 MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts ICML 2024 ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution NeurIPS 2024 DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization NeurIPS 2023 Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization NeurIPS 2023 Ensemble-based Deep Reinforcement Learning for Vehicle Routing Problems under Distribution Shift NeurIPS 2023 Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt NeurIPS 2023 MetaBox: A Benchmark Platform for Meta-Black-Box Optimization with Reinforcement Learning NeurIPS 2023 Multi-view graph contrastive learning for solving vehicle routing problems UAI 2023 Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement NeurIPS 2023 Towards Omni-generalizable Neural Methods for Vehicle Routing Problems ICML 2023 Efficient Neural Neighborhood Search for Pickup and Delivery Problems IJCAI 2022 Graph Learning Assisted Multi-Objective Integer Programming NeurIPS 2022 Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation NeurIPS 2022 Learning Scenario Representation for Solving Two-stage Stochastic Integer Programs ICLR 2022 Learning to Solve Routing Problems via Distributionally Robust Optimization AAAI 2022 Learning Large Neighborhood Search Policy for Integer Programming NeurIPS 2021 Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer NeurIPS 2021 Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems AAAI 2021 NeuroLKH: Combining Deep Learning Model with Lin-Kernighan-Helsgaun Heuristic for Solving the Traveling Salesman Problem NeurIPS 2021 AATEAM: Achieving the Ad Hoc Teamwork by Employing the Attention Mechanism AAAI 2020 Learning to Dispatch for Job Shop Scheduling via Deep Reinforcement Learning NeurIPS 2020