HE Xin

I am currently a Research Scientist at A*STAR, Singapore, working with Prof. Ong Yew Soon and Prof. Ivor W. Tsang. Prior to this, I completed my Ph.D. in Computer Science at Hong Kong Baptist University (HKBU), where I was advised by Prof. Chu Xiaowen. I earned my Bachelor’s degree with honors in the School of Electronic Information and Communications at Huazhong University of Science & Technology (HUST).

Looking for Research Interns:
- Areas of:
  - AI cluster optimization
  - Large language model optimization
  - Resource-efficient ML systems
- Requirements:
  - Python, PyTorch/TensorFlow
  - ML/Systems background
  - LLM background
- Duration: 6-12 months (1 year available for PhD-track students)
- Welcome: CSC scholars, Master/Bachelor students (planning to apply for PhD)

Interested in internship? send an email to me with title “ASTAR-CFAR Intern Application-Name” Contact me.

news

Feb 14, 2025	Shortlisted as PI of A*STAR Career Development Fund (CDF)!
Feb 23, 2024	I am honored to serve as a reviewer for ECCV’24.
Sep 03, 2023	Our paper “MedPipe: End-to-End Joint Search of Data Augmentation Policy and Neural Architecture for 3D Medical Image Classification” is accepted to IEEE MedAI2023!
Aug 09, 2023	I am honored to serve as a reviewer for AAAI’24.
Nov 19, 2022	Our paper “NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension” is accepted to AAAI2023!

latest posts

Apr 03, 2025	Tmux ctrl+B快捷键失效处理办法 - marsggbo
Aug 21, 2024	对抗训练综述学习笔记
Aug 21, 2024	对抗训练综述学习笔记 - marsggbo

selected publications

AAAI

NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension

Xin He , Jiangchao Yao , Yuxin Wang , and 5 more authors

AAAI, 2023

Bib PDF Code

@article{NASLID,
  title = {NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension},
  author = {He, Xin and Yao, Jiangchao and Wang, Yuxin and Tang, Zhenheng and Ka Chun, Cheung and Simon, See and Han, Bo and Chu, Xiaowen},
  booktitle = {AAAI},
  year = {2023},
  journal = {AAAI},
  corr = {true},
  zhihu = {https://zhuanlan.zhihu.com/p/591027254},
  special = {CCF-A},
  gamma = {https://gamma.app/public/0t1h94j75bccc0q},
  dimensions = {true},
  google_scholar_id = {Tyk-4Ss8FVUC}
}

KBS

AutoML: A survey of the state-of-the-art

Xin He , Kaiyong Zhao , and Xiaowen Chu

Knowledge-Based Systems, 2021

Bib PDF Website

@article{he2021automl,
  title = {AutoML: A survey of the state-of-the-art},
  author = {He, Xin and Zhao, Kaiyong and Chu, Xiaowen},
  journal = {Knowledge-Based Systems},
  volume = {212},
  pages = {106622},
  year = {2021},
  publisher = {Elsevier},
  special = {CCF-C, 1300+ citations by Oct 2023.},
  zhihu = {https://zhuanlan.zhihu.com/p/158162306},
  corr = {true},
  dimensions = {true},
  google_scholar_id = {zYLM7Y9cAGgC}
}

AAAI

Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans

Xin He , Shihao Wang , Xiaowen Chu , and 6 more authors

In AAAI , 2021

Bib PDF

@inproceedings{He2021AutomatedMD,
  title = {Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT Scans},
  author = {He, Xin and Wang, Shihao and Chu, Xiaowen and Shi, Shaohuai and Tang, J. and Liu, Xin and Yan, Chenggang Clarence and Zhang, Jiyong and Ding, Guiguang},
  booktitle = {AAAI},
  year = {2021},
  corr = {true},
  special = {CCF-A},
  dimensions = {true},
  google_scholar_id = {2osOgNQ5qMEC},
}

MICCAI

Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification

Xin He , Guohao Ying , Jiyong Zhang , and 1 more author

In International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) , 2022

Bib PDF Code

@inproceedings{emars,
  title = {Evolutionary Multi-objective Architecture Search Framework: Application to COVID-19 3D CT Classification},
  author = {He, Xin and Ying, Guohao and Zhang, Jiyong and Chu, Xiaowen},
  booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
  pages = {560--570},
  year = {2022},
  corr = {true},
  special = {CCF-B},
  zhihu = {https://zhuanlan.zhihu.com/p/542168478},
  dimensions = {true},
  google_scholar_id = {UeHWp8X0CEIC},
  special_old = {top premier international conferences for medical image analysis}
}