Ke Xue
Scholar

Ke Xue

Google Scholar ID: 78bZVOwAAAAJ
Nanjing University
Black-Box OptimizationMachine Learning
Citations & Impact
All-time
Citations
507
 
H-index
13
 
i10-index
13
 
Publications
20
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • 2025/05: First paper on Large Language Model for Optimization accepted by ICML
  • 2025/02: Paper on global placement accepted by DATE 2025 and selected as Best Paper Award
  • 2024/12: Received first funding: National Science Foundation for PhD Students
  • 2024/10: Received the National Scholarship for Ph.D. students (funded by Ministry of Education of China)
  • 2024/08: First paper on AI for Science accepted by PNAS
  • 2024/07: Paper on black-box optimization for macro placement received The 21st ACM SIGEVO Humies BRONZE Awards
  • 2024/05: First paper on offline optimization accepted by ICML 2024
  • 2023/09: First paper on electronic design automation accepted by NeurIPS 2023
  • 2023/07: Attended first international conference: IJCAI 2023 @ Macau 🇲🇴
  • 2022/12: Got married💍
  • 2022/09: First spotlight paper accepted by NeurIPS 2022
  • 2022/01: First paper on Quality-Diversity optimization accepted by ICLR 2022
  • 2021/11: Received the National Scholarship for MS.C. students (funded by Ministry of Education of China)
  • 2021/04: First first-author paper accepted by IJCAI 2021
  • 2020/04: First paper on Bayesian optimization accepted by IJCAI 2020
Background
  • Research interests include black-box optimization algorithms, such as evolutionary algorithms (especially quality-diversity algorithms), Bayesian optimization, and learning to optimize, as well as their applications, such as electronic design automation and AI for science.
Miscellany
  • Personal interests and hobbies not provided