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Xi Lin
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Year
Pareto multi-task learning
X Lin, HL Zhen, Z Li, Q Zhang, S Kwong
33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019
3102019
Evolution strategies for continuous optimization: A survey of the state-of-the-art
Z Li, X Lin, Q Zhang, H Liu
Swarm and Evolutionary Computation 56, 100694, 2020
642020
Controllable pareto multi-task learning
X Lin, Z Yang, Q Zhang, S Kwong
arXiv preprint arXiv:2010.06313, 2020
612020
Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization
X Lin, Z Yang, Q Zhang
10th International Conference on Learning Representations (ICLR 2022), 2022
592022
Fast covariance matrix adaptation for large-scale black-box optimization
Z Li, Q Zhang, X Lin, HL Zhen
IEEE transactions on cybernetics 50 (5), 2073-2083, 2018
482018
Pareto Set Learning for Expensive Multi-Objective Optimization
X Lin, Z Yang, X Zhang, Q Zhang
36th Conference on Neural Information Processing Systems (NeurIPS 2022), 2022
352022
A decomposition based multiobjective evolutionary algorithm with classification
X Lin, Q Zhang, S Kwong
2016 IEEE congress on evolutionary computation (CEC), 3292-3299, 2016
342016
Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
F Luo*, X Lin*, F Liu, Q Zhang, Z Wang
37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
222023
Large language model for multi-objective evolutionary optimization
F Liu, X Lin, Z Wang, S Yao, X Tong, M Yuan, Q Zhang
arXiv preprint arXiv:2310.12541, 2023
162023
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
F Liu, X Tong, M Yuan, X Lin, F Luo, Z Wang, Z Lu, Q Zhang
41st International Conference on Machine Learning (ICML oral 2024), 2024
13*2024
A batched scalable multi-objective bayesian optimization algorithm
X Lin, HL Zhen, Z Li, Q Zhang, S Kwong
arXiv preprint arXiv:1811.01323, 2018
132018
An efficient batch expensive multi-objective evolutionary algorithm based on decomposition
X Lin, Q Zhang, S Kwong
2017 IEEE Congress on Evolutionary Computation (CEC), 1343-1349, 2017
112017
Template nerf: Towards modeling dense shape correspondences from category-specific object images
J Guo, Z Yang, X Lin, Q Zhang
arXiv preprint arXiv:2111.04237, 2021
72021
Hypervolume Maximization: A Geometric View of Pareto Set Learning
X Zhang, X Lin, B Xue, Y Chen, Q Zhang
37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
62023
Nonlinear collaborative scheme for deep neural networks
HL Zhen, X Lin, AZ Tang, Z Li, Q Zhang, S Kwong
arXiv preprint arXiv:1811.01316, 2018
62018
Puridefense: Randomized local implicit adversarial purification for defending black-box query-based attacks
P Guo, Z Yang, X Lin, Q Zhao, Q Zhang
arXiv preprint arXiv:2401.10586, 2024
32024
Continuation Path Learning for Homotopy Optimization
X Lin, Z Yang, X Zhang, Q Zhang
40th International Conference on Machine Learning (ICML oral 2023), 2023
32023
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks
P Guo, F Liu, X Lin, Q Zhao, Q Zhang
arXiv preprint arXiv:2401.15335, 2024
22024
Smooth Tchebycheff Scalarization for Multi-Objective Optimization
X Lin, X Zhang, Z Yang, F Liu, Z Wang, Q Zhang
41st International Conference on Machine Learning (ICML 2024), 2024
12024
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
F Liu, X Lin, Q Zhang, X Tong, M Yuan
30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), 2024
12024
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