Dan-Xuan Liu @ LAMDA-NJU AI

Modified: 2023/12/19 by admin - Uncategorized
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刘丹璇
Dan-Xuan Liu
LAMDA Group
School of Artificial Intelligence
National Key Laboratory for Novel Software Technology
Nanjing University, Nanjing 210023, China
Supervisor: Professor Chao Qian

Email: liudx@lamda.nju.edu.cn
Laboratory: 5th Floor, YiFu Building, Xianlin Campus of Nanjing University

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Biography

  • Sep 2020 - Now : Ph.D. candidate in Computer Science, School of Artificial Intelligence, Nanjing University.
  • Sep 2016 - Jun 2020 : B.Eng. degree from Software College of Jilin University.

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    Research Interest

    My research interests include Machine Learning and Data Mining, especially in Evolutionary Learning and Submodular Optimization.

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    Publications

    (* indicates my supervisor)
    • Dan-Xuan Liu, Yi-Heng Xu, and Chao Qian*. Peptide Vaccine Design by Evolutionary Multi-objective Optimization. In: Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI'24) (CCF-A), Jeju Island, South Korea, 2024, pp.6967-6975. (Oral) [PDF] [Code]
    • Dan-Xuan Liu, Xin Mu, and Chao Qian*. Human Assisted Learning by Evolutionary Multi-objective Optimization. In: Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI'23) (CCF-A), Washington, DC, 2023, pp.12453-12461. (Oral) [PDF] [Code]
    • Dan-Xuan Liu and Chao Qian*. Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints. In: Proceedings of the 18th International Conference on Parallel Problem Solving from Nature (PPSN'24) (CCF-B), Hagenberg, Austria, 2024, pp.236-251. [PDF] [Code]
    • Chao Qian*, Dan-Xuan Liu, and Zhi-Hua Zhou. Result Diversification by Multi-objective Evolutionary Algorithms with Theoretical Guarantees. Artificial Intelligence (AIJ) (CCF-A), 2022, 309: 103737. [Preprint] [PDF]
    • Chao Qian*, Dan-Xuan Liu, Chao Feng, and Ke Tang. Multi-objective Evolutionary Algorithms are Generally Good: Maximizing Monotone Submodular Functions over Sequences. Theoretical Computer Science (TCS) (CCF-B), 2023, 943: 241-266. [Preprint] [PDF]
    • Yi-Xiao He, Dan-Xuan Liu, Shen-Huan Lyu, Chao Qian*, and Zhi-Hua Zhou. Multi-class Imbalance Problem: A Multi-objective Solution. Information Sciences (CCF-B), 2024, 680: 121156. [PDF]
    • Dan-Xuan Liu, Yu-Ran Gu, Chao Qian*, Xin Mu, and Ke Tang. Migrant Resettlement by Evolutionary Multi-objective Optimization. IEEE Transactions on Artificial Intelligence, in press. [PDF] [Code]
    • Dan-Xuan Liu and Chao Qian*. Result Diversification with Negative Type Distances by Multi-objective Evolutionary Algorithms. Fundamental Research, in press. [PDF]

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    Awards and Experiences

  • 2023 : Excellent Postgraduate Model of Nanjing University;
  • 2023 : Bailu Scholarship;
  • 2022 : Excellent Postgraduate of Nanjing University;
  • 2022 : Bank of Jiangsu Scholarship;
  • 2020 : Excellent Graduation Thesis of Undergraduates;
  • 2020 : Outstanding Graduate of Jilin University;
  • 2017-2019 : First Prize Scholarship of Software College, Jilin University;
  • 2016 : Best debater of the first Zhanyu Debate Competition;
  • 2016 : Best Debater of the Freshman Debate Competition.

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    Service

  • Reviewer of conferences and journals: AAAI, IJCAI, TEC;
  • 2021-2024 : Assistant of Heuristic Search and Evolutionary Algorithms; [HSEA24] [HSEA23] [HSEA22] [HSEA21]
  • 2020-2023 : Host of Orientation Party and Graduation Ceremony.



  • 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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