北京中关村学院导师
I. 研究方向
梯度法多目标优化,强化学习;大模型后训练;优化与统计理论。
II. 教育经历
2013-2017 机械工程 上海交通大学 本科
2017-2020 机械工程 上海交通大学 硕士
2021-2025 计算机科学 香港城市大学 博士
III. 代表性学术论文
[1] X Zhang, P Li, Y Yu, Z Yichi, Z Han, Q Zhang. Multiobjective Distribution Matching. ICML 2025.
[2] W Chen*, X Zhang*, L Baijiong*, L Xi, Z Han, Q Zhang, JK Kwok.Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond. https://arxiv.org/abs/2501.10945.
[3] X Lin, Y Liu, X Zhang, F Liu, Z Wang, Q Zhang. Few for Many: Tchebycheff Set Scalarization for Many-Objective Optimization. ICLR 2025.
[4] X Lin, X Zhang, Z Yang, Q Zhang. Evolutionary Pareto Set Learning with Structure Constraints. IEEE Transaction on Evolutionary Computation.
[5] X Zhang, L Zhao, Y Yu, X Lin, Y Chen, H Zhao, Q Zhang.LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch. NeurIPS 2024 (D&B track).
[6] X Lin, X Zhang, Z Yang, F Liu, Z Wang, Q Zhang. Smooth Tchebycheff Scalarization for Multi-Objective Optimization. ICML 2024.
[7] X Zhang, X Lin, Q Zhang. Pmgda: A preference-based multiple gradient descent algorithm. IEEE Transactions on emerging topics in computational intelligence.
[8] Y Zhong*, C Ma*, X Zhang*, Z Yang, Q Zhang, S Qi, Y Yang. Panacea: Pareto Alignment via Preference Adaptation for LLMs. NeurIPS 2024.
[9] B Xue, X Lin, X Zhang, Q Zhang. Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits. AAAI 2024.
[10] M Liu, X Zhang, C Xie, K Donahue, H Zhao. Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Optimizationhttps://arxiv.org/pdf/2410.21764.
[11] X Zhang, G Li, X Lin, Z Yichi, Y Chen, Q Zhang.Gliding over the Pareto Front with Uniform Designs. NeurIPS 2024.
[12] X Zhang, X Lin, B Xue, Y Chen, Q Zhang. Hypervolume Maximization: A Geometric View of Pareto Set Learning. NeurIPS 2023.
[13] X Lin, Z Yang, X Zhang, Q Zhang. Continuation Path Learning for Homotopy Optimization. ICML 2023.
[14] X Lin, Z Yang, X Zhang, Q Zhang. Pareto Set Learning for Expensive Multi-Objective Optimization. NeurIPS 2022.
IV. 主要成就与荣誉
2017年,上海交通大学优秀毕业生
2018年,微软“编程之美”全国冠军
2024-2025年,香港城市大学优异学术表现奖



