Xi Lin

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 27

Top Topics

Combinatorial Optimization

Evolutionary Algorithm

Multi Objective

Top Venues

Publications

Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
Prompt Learning for Generalized Vehicle Routing. CoRR (2024)
Xiaoyuan Zhang, Xi Lin, Qingfu Zhang
PMGDA: A Preference-based Multiple Gradient Descent Algorithm. CoRR (2024)
Xiaoyuan Zhang, Xi Lin, Yichi Zhang, Yifan Chen, Qingfu Zhang
UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition. CoRR (2024)
Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search. CoRR (2024)
Fei Liu, Xi Lin, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. KDD (2024)
Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang
L-AutoDA: Large Language Models for Automatically Evolving Decision-based Adversarial Attacks. GECCO Companion (2024)
Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization. CoRR (2024)
Rui Zhang, Fei Liu, Xi Lin, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. CoRR (2024)
Ping Guo, Cheng Gong, Xi Lin, Zhiyuan Yang, Qingfu Zhang
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume. CoRR (2024)
Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks. CoRR (2024)
Ping Guo, Qingfu Zhang, Xi Lin
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. CoRR (2024)
Fu Luo, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
Self-Improved Learning for Scalable Neural Combinatorial Optimization. CoRR (2024)
Fei Liu, Xi Lin, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. CoRR (2024)
Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang
Smooth Tchebycheff Scalarization for Multi-Objective Optimization. CoRR (2024)
Changliang Zhou, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization. CoRR (2024)
Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang
Continuation Path Learning for Homotopy Optimization. CoRR (2023)
Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang
Continuation Path Learning for Homotopy Optimization. ICML (2023)
Ping Guo, Qingfu Zhang, Xi Lin
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. EMO (2023)
Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Qingfu Zhang
Evolutionary Pareto Set Learning with Structure Constraints. CoRR (2023)
Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
Large Language Model for Multi-objective Evolutionary Optimization. CoRR (2023)
Xiaoyuan Zhang, Xi Lin, Bo Xue, Yifan Chen, Qingfu Zhang
Hypervolume Maximization: A Geometric View of Pareto Set Learning. NeurIPS (2023)
Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. NeurIPS (2023)
Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. CoRR (2023)
Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang
Pareto Set Learning for Expensive Multi-Objective Optimization. NeurIPS (2022)
Xi Lin, Zhiyuan Yang, Qingfu Zhang
Pareto Set Learning for Neural Multi-objective Combinatorial Optimization. CoRR (2022)
Xi Lin, Zhiyuan Yang, Qingfu Zhang
Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. ICLR (2022)
Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang
Pareto Set Learning for Expensive Multi-Objective Optimization. CoRR (2022)