A decomposition based multiobjective evolutionary algorithm with classification. - Xi Lin 001; Qingfu Zhang 001; Sam Kwong (CEC, 2016)

An efficient batch expensive multi-objective evolutionary algorithm based on Decomposition. - Xi Lin 001; Qingfu Zhang 001; Sam Kwong (CEC, 2017)

Nonlinear Collaborative Scheme for Deep Neural Networks. - Hui-Ling Zhen; Xi Lin 001; Alan Z. Tang; Zhenhua Li 005; Qingfu Zhang 001; Sam Kwong (CoRR, 2018)

A Batched Scalable Multi-Objective Bayesian Optimization Algorithm. - Xi Lin 001; Hui-Ling Zhen; Zhenhua Li 005; Qingfu Zhang 001; Sam Kwong (CoRR, 2018)

Pareto Multi-Task Learning. - Xi Lin 001; Hui-Ling Zhen; Zhenhua Li 005; Qingfu Zhang 001; Sam Kwong (NeurIPS, 2019)

Controllable Pareto Multi-Task Learning. - Xi Lin 001; Zhiyuan Yang 003; Qingfu Zhang 001; Sam Kwong (CoRR, 2020)

Evolution strategies for continuous optimization: A survey of the state-of-the-art. - Zhenhua Li 005; Xi Lin 001; Qingfu Zhang 001; Hai-Lin Liu 001 (Swarm Evol. Comput., 2020)

Fast Covariance Matrix Adaptation for Large-Scale Black-Box Optimization. - Zhenhua Li 005; Qingfu Zhang 001; Xi Lin 001; Hui-Ling Zhen (IEEE Trans. Cybern., 2020)

Template NeRF: Towards Modeling Dense Shape Correspondences from Category-Specific Object Images. - Jianfei Guo; Zhiyuan Yang 003; Xi Lin 001; Qingfu Zhang 001 (CoRR, 2021)

Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. - Xi Lin 001; Zhiyuan Yang 003; Qingfu Zhang 001 (ICLR, 2022)

Pareto Set Learning for Expensive Multi-Objective Optimization. - Xi Lin 001; Zhiyuan Yang 003; Xiaoyuan Zhang; Qingfu Zhang 001 (NeurIPS, 2022)

Approximation of a Pareto Set Segment Using a Linear Model with Sharing Variables. - Ping Guo 007; Qingfu Zhang 001; Xi Lin 001 (EMO, 2023)

Continuation Path Learning for Homotopy Optimization. - Xi Lin 001; Zhiyuan Yang 003; Xiaoyuan Zhang; Qingfu Zhang 001 (ICML, 2023)

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization. - Fu Luo; Xi Lin 001; Fei Liu 044; Qingfu Zhang 001; Zhenkun Wang 001 (NeurIPS, 2023)

Hypervolume Maximization: A Geometric View of Pareto Set Learning. - Xiaoyuan Zhang; Xi Lin 001; Bo Xue 004; Yifan Chen 004; Qingfu Zhang 001 (NeurIPS, 2023)

Large Language Model for Multi-objective Evolutionary Optimization. - Fei Liu 044; Xi Lin 001; Zhenkun Wang 001; Shunyu Yao 002; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (CoRR, 2023)

Evolutionary Pareto Set Learning with Structure Constraints. - Xi Lin 001; Xiaoyuan Zhang; Zhiyuan Yang 003; Qingfu Zhang 001 (CoRR, 2023)

L-AutoDA: Large Language Models for Automatically Evolving Decision-based Adversarial Attacks. - Ping Guo 007; Fei Liu 044; Xi Lin 001; Qingchuan Zhao; Qingfu Zhang 001 (GECCO Companion, 2024)

Smooth Tchebycheff Scalarization for Multi-Objective Optimization. - Xi Lin 001; Xiaoyuan Zhang; Zhiyuan Yang 003; Fei Liu 044; Zhenkun Wang 001; Qingfu Zhang 001 (ICML, 2024)

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model. - Fei Liu 044; Xialiang Tong; Mingxuan Yuan; Xi Lin 001; Fu Luo; Zhenkun Wang 001; Zhichao Lu; Qingfu Zhang 001 (ICML, 2024)

Prompt Learning for Generalized Vehicle Routing. - Fei Liu 044; Xi Lin 001; Weiduo Liao; Zhenkun Wang 001; Qingfu Zhang 001; Xialiang Tong; Mingxuan Yuan (IJCAI, 2024)

Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. - Fei Liu 044; Xi Lin 001; Zhenkun Wang 001; Qingfu Zhang 001; Xialiang Tong; Mingxuan Yuan (KDD, 2024)

Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer. - Ke Xue 001; Ruo-Tong Chen; Xi Lin 001; Yunqi Shi; Shixiong Kai; Siyuan Xu; Chao Qian 001 (NeurIPS, 2024)

Gliding over the Pareto Front with Uniform Designs. - Xiaoyuan Zhang; Genghui Li; Xi Lin 001; Yichi Zhang; Yifan Chen 004; Qingfu Zhang 001 (NeurIPS, 2024)

LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch. - Xiaoyuan Zhang; Liang Zhao; Yingying Yu; Xi Lin 001; Yifan Chen 004; Han Zhao 002; Qingfu Zhang 001 (NeurIPS, 2024)

Many-Objective Cover Problem: Discovering Few Solutions to Cover Many Objectives. - Yilu Liu 002; Chengyu Lu; Xi Lin 001; Qingfu Zhang 001 (PPSN (4), 2024)

Understanding the Importance of Evolutionary Search in Automated Heuristic Design with Large Language Models. - Rui Zhang 042; Fei Liu 044; Xi Lin 001; Zhenkun Wang 001; Zhichao Lu; Qingfu Zhang 001 (PPSN (2), 2024)

An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search. - Fei Liu 044; Xialiang Tong; Mingxuan Yuan; Xi Lin 001; Fu Luo; Zhenkun Wang 001; Zhichao Lu; Qingfu Zhang 001 (CoRR, 2024)

PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks. - Ping Guo 007; Zhiyuan Yang 001; Xi Lin 001; Qingchuan Zhao; Qingfu Zhang 001 (CoRR, 2024)

L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks. - Ping Guo 007; Fei Liu 044; Xi Lin 001; Qingchuan Zhao; Qingfu Zhang 001 (CoRR, 2024)

UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition. - Xiaoyuan Zhang; Xi Lin 001; Yichi Zhang; Yifan Chen 001; Qingfu Zhang 001 (CoRR, 2024)

PMGDA: A Preference-based Multiple Gradient Descent Algorithm. - Xiaoyuan Zhang; Xi Lin 001; Qingfu Zhang 001 (CoRR, 2024)

Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. - Fei Liu 044; Xi Lin 001; Qingfu Zhang 001; Xialiang Tong; Mingxuan Yuan (CoRR, 2024)

Escaping Local Optima in Global Placement. - Ke Xue 001; Xi Lin 001; Yunqi Shi; Shixiong Kai; Siyuan Xu; Chao Qian 001 (CoRR, 2024)

Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume. - Ping Guo 007; Cheng Gong; Xi Lin 001; Zhiyuan Yang 001; Qingfu Zhang 001 (CoRR, 2024)

Self-Improved Learning for Scalable Neural Combinatorial Optimization. - Fu Luo; Xi Lin 001; Zhenkun Wang 001; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (CoRR, 2024)

Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization. - Changliang Zhou; Xi Lin 001; Zhenkun Wang 001; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (CoRR, 2024)

LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch. - Xiaoyuan Zhang; Liang Zhao; Yingying Yu; Xi Lin 001; Zhenkun Wang 001; Han Zhao 002; Qingfu Zhang 001 (CoRR, 2024)

A Systematic Survey on Large Language Models for Algorithm Design. - Fei Liu 044; Yiming Yao; Ping Guo 007; Zhiyuan Yang 003; Zhe Zhao 008; Xi Lin 001; Xialiang Tong; Mingxuan Yuan; Zhichao Lu; Zhenkun Wang 001; Qingfu Zhang 001 (CoRR, 2024)

LLM4AD: A Platform for Algorithm Design with Large Language Model. - Fei Liu 044; Rui Zhang 042; Zhuoliang Xie; Rui Sun; Kai Li 022; Xi Lin 001; Zhenkun Wang 001; Zhichao Lu; Qinyu Zhang 001 (CoRR, 2024)

CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models. - Ping Guo 007; Qingfu Zhang 001; Xi Lin 001 (CoRR, 2024)

Decomposition gradient descent method for bi-objective optimisation. - Jingjing Chen; Genghui Li; Xi Lin 001 (Int. J. Bio Inspired Comput., 2024)

Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits. - Bo Xue 004; Xi Lin 001; Xiaoyuan Zhang; Qingfu Zhang 001 (AAAI, 2025)

Pareto Continual Learning: Preference-Conditioned Learning and Adaption for Dynamic Stability-Plasticity Trade-off. - Song Lai 001; Zhe Zhao 008; Fei Zhu 004; Xi Lin 001; Qingfu Zhang 001; Gaofeng Meng (AAAI, 2025)

Multi-Objective Evolution of Heuristic Using Large Language Model. - Shunyu Yao 002; Fei Liu 044; Xi Lin 001; Zhichao Lu; Zhenkun Wang 001; Qingfu Zhang 001 (AAAI, 2025)

MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework. - Ping Guo 007; Cheng Gong; Xi Lin 001; Fei Liu 044; Zhichao Lu; Qingfu Zhang 001; Zhenkun Wang 001 (CVPR, 2025)

Timing-Driven Global Placement by Efficient Critical Path Extraction. - Yunqi Shi; Siyuan Xu; Shixiong Kai; Xi Lin 001; Ke Xue 001; Mingxuan Yuan; Chao Qian 001 (DATE, 2025)

Large Language Model for Multiobjective Evolutionary Optimization. - Fei Liu 044; Xi Lin 001; Shunyu Yao 002; Zhenkun Wang 001; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (EMO (2), 2025)

Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization. - Xi Lin 001; Yilu Liu 002; Xiaoyuan Zhang; Fei Liu 044; Zhenkun Wang 001; Qingfu Zhang 001 (ICLR, 2025)

Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems. - Fu Luo; Xi Lin 001; Yaoxin Wu; Zhenkun Wang 001; Xialiang Tong; Mingxuan Yuan; Qingfu Zhang 001 (ICLR, 2025)

A Distributed Multi-Objective Detection Method for Multi-Sensor Systems With Unknown Local SNR. - Chang Gao 004; Qingfu Zhang 001; Pramod K. Varshney; Xi Lin 001; Hongwei Liu 001 (IEEE Trans. Signal Process., 2025)

Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond. - Weiyu Chen; Xiaoyuan Zhang; Baijiong Lin; Xi Lin 001; Han Zhao 002; Qingfu Zhang 001; James T. Kwok (CoRR, 2025)

L2R: Learning to Reduce Search Space for Generalizable Neural Routing Solver. - Changliang Zhou; Xi Lin 001; Zhenkun Wang 001; Qingfu Zhang 001 (CoRR, 2025)

From Understanding to Excelling: Template-Free Algorithm Design through Structural-Functional Co-Evolution. - Zhe Zhao 008; Haibin Wen; Pengkun Wang 001; Ye Wei; Zaixi Zhang; Xi Lin 001; Fei Liu 044; Bo An 001; Hui Xiong 001; Yang Wang 015; Qingfu Zhang 001 (CoRR, 2025)

Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume. - Ping Guo 007; Cheng Gong; Xi Lin 001; Zhiyuan Yang 003; Qingfu Zhang 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Learning to Insert for Constructive Neural Vehicle Routing Solver. - Fu Luo; Xi Lin 001; Mengyuan Zhong; Fei Liu 044; Zhenkun Wang 001; Jianyong Sun; Qingfu Zhang 001 (CoRR, 2025)

Dealing With Structure Constraints in Evolutionary Pareto Set Learning. - Xi Lin 001; Xiaoyuan Zhang; Zhiyuan Yang 003; Qingfu Zhang 001 (IEEE Trans. Evol. Comput., 2025)

Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training. - Song Lai 001; Haohan Zhao; Rong Feng; Changyi Ma; Wenzhuo Liu; Hongbo Zhao 006; Xi Lin 001; Dong Yi; Min Xie; Qingfu Zhang 001; Hongbin Liu 001; Gaofeng Meng; et al. (CoRR, 2025)

Fine-tuning Large Language Model for Automated Algorithm Design. - Fei Liu 044; Rui Zhang 042; Xi Lin 001; Zhichao Lu; Qingfu Zhang 001 (CoRR, 2025)