Ke Xue Ph.D. Student LAMDA Group School of Artificial Intelligence National Key Laboratory for Novel Software Technology Nanjing University email: xuek at lamda.nju.edu.cn

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.

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Biography

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;

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Research Interest

I am interested in black-box optimization algorithms, such as:

Evolutionary algorithms [c2], especially Quality-Diversity algorithms [c3, c7, i2, c11, c13];

Bayesian optimization [c1, c4, c10];

Learning to optimize [c5, i3, c12];

and their applications, such as:

Human-AI Coordination [i1, c6, c8, j1];

Electronic Design Automation [c9, i4].

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Manuscripts

* Equal Contribution

[i4] Ke Xue*, Xi Lin*, Yunqi Shi, Shixiong Kai, Siyuan Xu, and Chao Qian. Escaping Local Optima in Global Placement. In: Proceedings of the 61th ACM/IEEE Design Automation Conference (DAC'24), San Francisco, CA, 2024. (Work-in-Progress poster) [Preprint]

[i3] Lei Song, Chenxiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, and Chao Qian. Reinforced In-Context Black-Box Optimization. arxiv, 2024. [Preprint]

[i2] Ren-Jian Wang*, Ke Xue*, Yutong Wang, Peng Yang, Haobo Fu, Qiang Fu, and Chao Qian. Diversity from Human Feedback. In: 2nd Agent Learning in Open-Endedness Workshop at NeurIPS'23, New Orleans, LA, 2023. [Preprint]

[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]

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Journal Article

[j1] Cong Guan, Ke Xue, Chunpeng Fan, Feng Chen, Lei Yuan, Chao Qian, and Yang Yu. Open and Real-World Human-AI Coordination by Heterogeneous Training with Communication. Frontiers of Computer Science, in press.

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Conference Paper

[c13] Chao Qian, Ke Xue, and Ren-Jian Wang. Quality-Diversity Algorithms Can Provably Be Helpful for Optimization. In: Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), Jeju Island, Korea, 2024, to appear. [Preprint]

[c12] 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. In: Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), Jeju Island, Korea, 2024, to appear. [Preprint]

[c11] Ke Xue*, Ren-Jian Wang*, Pengyi Li, Dong Li, Jianye Hao, and Chao Qian. Sample-Efficient Quality-Diversity by Cooperative Coevolution. In: Proceedings of the 12th International Conference on Learning Representations (ICLR'24), Vienna, Austria, 2022, to appear. (Spotlight)

[c10] Xiaobin Huang, Lei Song, Ke Xue, and Chao Qian. Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation. In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada, 2024, to appear.

[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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Awards

2023 : Huawei Spark Award, Huawei Technologies Co., Ltd. (Second Student);

2022 : Huawei Spark Award, Huawei Technologies Co., Ltd. (First Student);

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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Services

Conference PC Member:

ICML: 2022, 2023, 2024

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

Swarm and Evolutionary Computation

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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
(南京市栖霞区仙林大道163号，南京大学仙林校区603信箱，软件新技术国家重点实验室，210023)

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