Xin He
Scholar

Xin He

Google Scholar ID: LYNKm_8AAAAJ
Scientist, A*STAR, Singapore
AutoMLNeural Architecture SearchMLSysLLM
Citations & Impact
All-time
Citations
2,913
 
H-index
13
 
i10-index
13
 
Publications
19
 
Co-authors
11
list available
Publications
19 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Publications:
  • - BurstGPT: A Real-world Workload Dataset to Optimize LLM Serving Systems, accepted to KDD2025
  • - NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension, AAAI 2023
  • - AutoML: A survey of the state-of-the-art, Knowledge-Based Systems 2021
  • - Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans, AAAI 2021
  • Awards:
  • - One of the 31 recipients of the A*STAR Career Development Fund (CDF), selected from 194 applicants
  • Reviewer for:
  • - ECCV'24
  • - AAAI'24
Research Experience
  • Currently a Research Scientist at A*STAR, Singapore, working with Prof. Ong Yew Soon and Prof. Ivor W. Tsang.
Education
  • Ph.D. in Computer Science from Hong Kong Baptist University (HKBU), advised by Prof. Chu Xiaowen; Bachelor's degree with honors from the School of Electronic Information and Communications at Huazhong University of Science & Technology (HUST).
Background
  • Research interests include computer science, particularly in areas such as AutoML and neural architecture search (NAS). Currently a Research Scientist at CFAR, A*STAR, Singapore.
Miscellany
  • Interests include sharing technical knowledge through blogging, such as troubleshooting PDF image insertion in Overleaf and handling Tmux shortcut key failures.