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Xi Lin (林熙) Xi Lin is currently a Post Doctoral Research Fellow with Department of Computer Science at the City University of Hong Kong, working with Prof. Qingfu Zhang. He received the B.Sc. degree from South China University of Technology, the M.A. degree from Columbia University, and the Ph.D. degree from City University of Hong Kong under the supervision of Prof. Qingfu Zhang and Prof. Sam Kwong. His research interests include multi-objective optimization, learning based optimization, Bayesian optimization, evolutionary computation and multi-task learning. His work has been published in top-tier machine learning conferences such as ICML, NeurIPS and ICLR. He serves as an Action Editor for Transactions on Machine Learning Research (TMLR). He is a regular reviewer for many machine learning and evolutionary computation conferences and journals, and has received several outstanding reviewer awards from ICML, ICLR and TMLR. |
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Selected Publications(*: equal contribution, __: student first author I co-mentor) |
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Smooth Tchebycheff Scalarization for Multi-Objective Optimization
Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang, Fei Liu, Zhenkun Wang, Qingfu Zhang International Conference on Machine Learning (ICML), 2024 pdf / arXiv |
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Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Mode
Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang International Conference on Machine Learning (ICML), 2024 pdf / arXiv |
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Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization
Fu Luo*, Xi Lin*, Fei Liu, Qingfu Zhang, Zhenkun Wang Advances in Neural Information Processing Systems (NeurIPS) , 2023 pdf / arXiv / openreview / code |
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Hypervolume Maximization: A Geometric View of Pareto Set Learning
Xiaoyuan Zhang, Xi Lin, Bo Xue, Yifan Chen, Qingfu Zhang Advances in Neural Information Processing Systems (NeurIPS) , 2023 pdf / openreview |
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Continuation Path Learning for Homotopy Optimization
Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang International Conference on Machine Learning (ICML), 2023 (Oral Presentation, Top 2.4% among All Submissions) pdf / arXiv / openreview / code |
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Pareto Set Learning for Expensive Multiobjective Optimization
Xi Lin, Zhiyuan Yang, Xiaoyuan Zhang, Qingfu Zhang Advances in Neural Information Processing Systems (NeurIPS) , 2022 pdf / arXiv / openreview / code |
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Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization
Xi Lin, Zhiyuan Yang, Qingfu Zhang International Conference on Learning Representations (ICLR) , 2022 pdf / arXiv / openreview / code |
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Controllable Pareto Multi-Task Learning
Xi Lin, Zhiyuan Yang, Qingfu Zhang, Sam Kwong Technical Report, 2020 pdf / arXiv |
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Pareto Multi-Task Learning
Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong Advances in Neural Information Processing Systems (NeurIPS) , 2019 pdf / arXiv / proceedings / code |
Academic Service |
| Action Editor (aka Associate Editor): TMLR |
| Conference Reviewer: ICML, ICLR, NeurIPS, AISTATS, GECCO, CEC, SSCI |
| Journal Reviewer: JMLR, TMLR, TEVC, TCYB, TNNLS, TAI, TETCI, SWEVO |
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Awards:
Expert Reviewer, TMLR 2023 Outstanding Reviewer, ICML 2021, ICML 2022 Highlighted Reviewer, ICLR 2022 |
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