Wang, Zhenkun

23 publications

ICML 2025 Balancing Model Efficiency and Performance: Adaptive Pruner for Long-Tailed Data Zhe Zhao, Haibin Wen, Pengkun Wang, Shuang Wang, Zhenkun Wang, Qingfu Zhang, Yang Wang

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

AAAI 2025 Boundary Decomposition for Finding Nadir Objective Vector in Multi-Objective Discrete Optimization Ruihao Zheng, Zhenkun Wang

ICML 2025 CaDA: Cross-Problem Routing Solver with Constraint-Aware Dual-Attention Han Li, Fei Liu, Zhi Zheng, Yu Zhang, Zhenkun Wang

AAAI 2025 Destroy and Repair Using Hyper-Graphs for Routing Ke Li, Fei Liu, Zhenkun Wang, Qingfu Zhang

ICLR 2025 Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang

NeurIPS 2025 Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning Yuanyao Chen, Rongsheng Chen, Fu Luo, Zhenkun Wang

NeurIPS 2025 Learning to Insert for Constructive Neural Vehicle Routing Solver Fu Luo, Xi Lin, Mengyuan Zhong, Fei Liu, Zhenkun Wang, Jianyong Sun, Qingfu Zhang

CVPR 2025 MOS-Attack: A Scalable Multi-Objective Adversarial Attack Framework Ping Guo, Cheng Gong, Xi Lin, Fei Liu, Zhichao Lu, Qingfu Zhang, Zhenkun Wang

NeurIPS 2025 MTL-KD: Multi-Task Learning via Knowledge Distillation for Generalizable Neural Vehicle Routing Solver Yuepeng Zheng, Fu Luo, Zhenkun Wang, Yaoxin Wu, Yu Zhou

ICML 2025 Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design Zhi Zheng, Zhuoliang Xie, Zhenkun Wang, Bryan Hooi

AAAI 2025 Multi-Objective Evolution of Heuristic Using Large Language Model Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang

NeurIPS 2025 Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees Fu Luo, Yaoxin Wu, Zhi Zheng, Zhenkun Wang

NeurIPS 2025 TS-MOF: Two-Stage Multi-Objective Fine-Tuning for Long-Tailed Recognition Zhe Zhao, Zhiheng Gong, Pengkun Wang, HaiBin Wen, Cankun Guo, Bo Xue, Xi Lin, Zhenkun Wang, Qingfu Zhang, Yang Wang

NeurIPS 2024 Boundary Decomposition for Nadir Objective Vector Estimation Ruihao Zheng, Zhenkun Wang

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

AAAI 2024 Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret Rui Sun, Zhi Zheng, Zhenkun Wang

IJCAI 2024 Prompt Learning for Generalized Vehicle Routing Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan

ICML 2024 Smooth Tchebycheff Scalarization for Multi-Objective Optimization Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang

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

AAAI 2023 A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization Ruihao Zheng, Zhenkun Wang

NeurIPS 2023 Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang