Modified: 2014/08/25 22:19 by admin - Uncategorized
Image Chinese name
Ke Xue

Ph.D. Student
School of Artificial Intelligence
National Key Laboratory for Novel Software Technology
Nanjing University
email: xuek at

Currently I am a Ph.D. student of School of Artificial Intelligence in Nanjing University advised by Associate Prof. Chao Qian and a member of LAMDA Group, led by professor Zhi-Hua Zhou.



  • Sep 2019 - Now : Ph.D. candidate in Computer Science, School of Artificial Intelligence, Nanjing University.
  • Sep 2015 - Jun 2019 : B.Sc. in Mathematics and Applied Mathematics, School of Mathematics, Sun Yat-Sen University;
  • Sep 2012 - Jun 2015 : Jiyuan No.1 Middle School of Henan;


    Research Interest

    I am interested in black-box optimization algorithms, such as:
  • Evolutionary algorithms [c2, c3, c7];
  • Bayesian optimization [c1, c4];
  • Learning to optimize [c5, i2];
  • and their applications, such as:
  • Evolutionary reinforcement learning [i1, c6, c8, i3];
  • Electronic Design Automation [c9].


  • [i1] Ke Xue*, Yutong Wang*, Lei Yuan, Cong Guan, Chao Qian, and Yang Yu. Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution. arXiv, 2022. [Preprint]
  • [i2] Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, and Chao Qian. Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy. arXiv, 2023. [Preprint]
  • [i3] Ren-Jian Wang*, Ke Xue*, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, and Chao Qian. Diversity from Human Feedback. The 2nd Agent Learning in Open-Endedness (ALOE) workshop in NeurIPS 2023. [Preprint]

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    Conference Paper

    * Equal Contribution
  • [c9] Yunqi Shi, Ke Xue, Lei Song, and Chao Qian. Macro Placement by Wire-Mask-Guided Black-Box Optimization. In: Advances in Neural Information Processing Systems 36 (NeurIPS'23), New Orleans, LA, 2023, to appear.
  • [c8] Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu. Fast teammate adaptation in the presence of sudden policy change. In: Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI'23), Pittsburgh, PA, 2023, pp.2465-2476.
  • [c7] Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, and Qiang Fu. Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting. In: Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI'23), Macao, SAR, China, 2023, pp.4335-4343. [Code]
  • [c6] Lei Yuan, Zi-Qian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Li-He Li, Chao Qian, Yang Yu. Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI'23), Washington, DC, 2023, pp.11753-11762. (Oral) [Code]
  • [c5] Ke Xue*, Jiacheng Xu*, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, and Yang Yu. Multi-agent Dynamic Algorithm Configuration. In: Advances in Neural Information Processing Systems 35 (NeurIPS'22), New Orleans, LA, 2022. (Spotlight) [Preprint] [Paper] [Code] [Poster] [Slides]
  • [c4] Lei Song*, Ke Xue*, Xiaobin Huang, and Chao Qian. Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization. In: Advances in Neural Information Processing Systems 35 (NeurIPS'22), New Orleans, LA, 2022. (Spotlight) [Preprint] [Paper] [Code] [Poster] [Slides]
  • [c3] Yutong Wang*, Ke Xue*, and Chao Qian. Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning. In: Proceedings of the 10th International Conference on Learning Representations (ICLR'22), Virtual, 2022. [Paper] [Code] [Poster] [Slides]
  • [c2] Ke Xue, Chao Qian, Ling Xu, and Xu-Dong Fei. Evolutionary Gradient Descent for Non-convex Optimization. In: Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI'21), Virtual, 2021, pp.3221-3227. [Paper] [Code] [Poster] [Slides]
  • [c1] Chao Qian, Hang Xiong, and Ke Xue. Bayesian Optimization using Pseudo-Points. In: Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), Yokohama, Japan, 2020, pp.3044-3050. [Paper]

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  • 2023 : Huawei Spark Award, Huawei Technologies Co., Ltd.;
  • 2022 : Huawei Scholarship, Nanjing University ;
  • 2021 : National Scholarship, Nanjing University ;
  • 2020 : Outstanding Student Leaders, Nanjing University ;
  • 2018 : Outstanding Student Award, Sun Yat-Sen University .

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    Conference PC Member:
  • ICML: 2022, 2023
  • NeurIPS: 2022, 2023
  • ICLR: 2024
  • AAAI: 2023, 2024
  • ECAI: 2023
  • AutoML: 2023
  • IEEE SSCI: 2022
  • CCML 2023
  • CCAI: 2022
  • Journal Reviewer :
  • SCIENCE CHINA Information Sciences
  • IEEE Transactions on Evolutionary Computation
  • IEEE Transactions on Emerging Topics in Computational Intelligence

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    Teaching Assistant

  • Heuristic Search and Evolutionary Algorithms (For undergraduate and graduate students, 2020, 2021, 2022 )

  • Contact:
    National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
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    Last modified: 2023-10-11