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ORCIDXi Lin 0001
Person information
- affiliation: City University of Hong Kong, Department of Computer Science, Hong Kong
- affiliation (former): Columbia University, Department of statistics, New York, NY, USA
Other persons with the same name
- Xi Lin — disambiguation page
- Xi Lin 0002 — Tsinghua University, Department of Civil Engineering, Beijing, China
- Xi Lin 0003
![[0000-0001-5303-1191]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5303-1191")
— Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, School of Cyber Security, China (and 1 more) - Xi Lin 0004 — Zhengzhou University of Light Industry, School of Computer and Communication Engineering, China
- Xi Lin 0005 — Carl Zeiss Meditec AG, Shanghai, China (and 1 more)
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2020 – today
- 2024
[j3]Jingjing Chen, Genghui Li, Xi Lin:
Decomposition gradient descent method for bi-objective optimisation. Int. J. Bio Inspired Comput. 23(1): 28-38 (2024)- [c16]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: 1846-1854 - [c15]Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang:
Smooth Tchebycheff Scalarization for Multi-Objective Optimization. ICML 2024 - [c14]Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang:
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model. ICML 2024 - [c13]Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Prompt Learning for Generalized Vehicle Routing. IJCAI 2024: 6976-6984 - [c12]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: 1898-1908 - [c11]Yilu Liu, Chengyu Lu, Xi Lin, Qingfu Zhang:
Many-Objective Cover Problem: Discovering Few Solutions to Cover Many Objectives. PPSN (4) 2024: 68-82 - [c10]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. PPSN (2) 2024: 185-202 - [i28]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 abs/2401.02051 (2024) - [i27]Ping Guo, Zhiyuan Yang, Xi Lin, Qingchuan Zhao, Qingfu Zhang:
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks. CoRR abs/2401.10586 (2024) - [i26]Ping Guo, Fei Liu, Xi Lin, Qingchuan Zhao, Qingfu Zhang:
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks. CoRR abs/2401.15335 (2024) - [i25]Xiaoyuan Zhang, Xi Lin, Yichi Zhang, Yifan Chen, Qingfu Zhang:
UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition. CoRR abs/2402.09486 (2024) - [i24]Xiaoyuan Zhang, Xi Lin, Qingfu Zhang:
PMGDA: A Preference-based Multiple Gradient Descent Algorithm. CoRR abs/2402.09492 (2024) - [i23]Fei Liu, Xi Lin, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. CoRR abs/2402.16891 (2024) - [i22]Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang:
Smooth Tchebycheff Scalarization for Multi-Objective Optimization. CoRR abs/2402.19078 (2024) - [i21]Ping Guo, Cheng Gong, Xi Lin, Zhiyuan Yang, Qingfu Zhang:
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume. CoRR abs/2403.05100 (2024) - [i20]Fu Luo, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Self-Improved Learning for Scalable Neural Combinatorial Optimization. CoRR abs/2403.19561 (2024) - [i19]Ping Guo, Qingfu Zhang, Xi Lin:
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. CoRR abs/2404.00251 (2024) - [i18]Changliang Zhou, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization. CoRR abs/2405.01906 (2024) - [i17]Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Prompt Learning for Generalized Vehicle Routing. CoRR abs/2405.12262 (2024) - [i16]Xi Lin, Yilu Liu, Xiaoyuan Zhang, Fei Liu, Zhenkun Wang, Qingfu Zhang:
Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization. CoRR abs/2405.19650 (2024) - [i15]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 abs/2407.10873 (2024) - [i14]Xiaoyuan Zhang, Liang Zhao, Yingying Yu, Xi Lin, Zhenkun Wang, Han Zhao, Qingfu Zhang:
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch. CoRR abs/2409.02969 (2024) - [i13]Shunyu Yao, Fei Liu, Xi Lin, Zhichao Lu, Zhenkun Wang, Qingfu Zhang:
Multi-objective Evolution of Heuristic Using Large Language Model. CoRR abs/2409.16867 (2024) - [i12]Fei Liu, Yiming Yao, Ping Guo, Zhiyuan Yang, Zhe Zhao, Xi Lin, Xialiang Tong, Mingxuan Yuan, Zhichao Lu, Zhenkun Wang, Qingfu Zhang:
A Systematic Survey on Large Language Models for Algorithm Design. CoRR abs/2410.14716 (2024) - 2023
- [c9]Ping Guo, Qingfu Zhang, Xi Lin:
Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. EMO 2023: 247-259 - [c8]Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Continuation Path Learning for Homotopy Optimization. ICML 2023: 21288-21311 - [c7]Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang:
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. NeurIPS 2023 - [c6]Xiaoyuan Zhang, Xi Lin, Bo Xue, Yifan Chen, Qingfu Zhang:
Hypervolume Maximization: A Geometric View of Pareto Set Learning. NeurIPS 2023 - [i11]Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Continuation Path Learning for Homotopy Optimization. CoRR abs/2307.12551 (2023) - [i10]Fu Luo, Xi Lin, Fei Liu, Qingfu Zhang, Zhenkun Wang:
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. CoRR abs/2310.07985 (2023) - [i9]Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Large Language Model for Multi-objective Evolutionary Optimization. CoRR abs/2310.12541 (2023) - [i8]Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Qingfu Zhang:
Evolutionary Pareto Set Learning with Structure Constraints. CoRR abs/2310.20426 (2023) - 2022
- [c5]Xi Lin, Zhiyuan Yang, Qingfu Zhang:
Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. ICLR 2022 - [c4]Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Pareto Set Learning for Expensive Multi-Objective Optimization. NeurIPS 2022 - [i7]Xi Lin, Zhiyuan Yang, Qingfu Zhang:
Pareto Set Learning for Neural Multi-objective Combinatorial Optimization. CoRR abs/2203.15386 (2022) - [i6]Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang:
Pareto Set Learning for Expensive Multi-Objective Optimization. CoRR abs/2210.08495 (2022) - 2021
- [i5]Jianfei Guo, Zhiyuan Yang, Xi Lin, Qingfu Zhang:
Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Images. CoRR abs/2111.04237 (2021) - 2020
- [j2]Zhenhua Li, Xi Lin, Qingfu Zhang, Hai-Lin Liu:
Evolution strategies for continuous optimization: A survey of the state-of-the-art. Swarm Evol. Comput. 56: 100694 (2020) - [j1]Zhenhua Li, Qingfu Zhang, Xi Lin, Hui-Ling Zhen:
Fast Covariance Matrix Adaptation for Large-Scale Black-Box Optimization. IEEE Trans. Cybern. 50(5): 2073-2083 (2020) - [i4]Xi Lin, Zhiyuan Yang, Qingfu Zhang, Sam Kwong:
Controllable Pareto Multi-Task Learning. CoRR abs/2010.06313 (2020)
2010 – 2019
- 2019
- [c3]Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong:
Pareto Multi-Task Learning. NeurIPS 2019: 12037-12047 - [i3]Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong:
Pareto Multi-Task Learning. CoRR abs/1912.12854 (2019) - 2018
- [i2]Hui-Ling Zhen, Xi Lin, Alan Z. Tang, Zhenhua Li, Qingfu Zhang, Sam Kwong:
Nonlinear Collaborative Scheme for Deep Neural Networks. CoRR abs/1811.01316 (2018) - [i1]Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong:
A Batched Scalable Multi-Objective Bayesian Optimization Algorithm. CoRR abs/1811.01323 (2018) - 2017
- [c2]Xi Lin, Qingfu Zhang, Sam Kwong:
An efficient batch expensive multi-objective evolutionary algorithm based on Decomposition. CEC 2017: 1343-1349 - 2016
- [c1]Xi Lin, Qingfu Zhang, Sam Kwong:
A decomposition based multiobjective evolutionary algorithm with classification. CEC 2016: 3292-3299
Coauthor Index
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