MARSGGBO's World

Education & Work

🇸🇬 National university of Singapore (NUS), Singapore (2023-now)
- Research Fellow, School of Computing
- Principle Investigator: Prof. You Yang
🇭🇰 Hong Kong Baptist University (HKBU), Hong Kong, China (2018 - 2023)
- Ph.D, Department of Computer Science
- Supervisor: Prof. Chu Xiaowen
🇨🇳 Huazhong University of Science & Technology (HUST), Wuhan, China (2014 - 2018)
- Bachelor, School of Electronic Information and Communications, Honor of Outstanding Student

Research interests:

Automated Machine Learning (AutoML)
Neural Architecture Search (NAS)
Large Language Model (LLM)
Distributed AI Training and Inference

Interested in collaboration? Contact me.

Highlights

1.AutoML Survey (1400+ citation): AutoML: A Survey of State-of-ther-art
2.AutoML Framework: Hyperbox
3.AutoML Applications:
- AAAI2021 COVID3DNet: The first NAS application for COVID-19 3D CT scans
- MICCAI2022 EMARS: Evolutionary algorithm-based NAS for COVID-19 3D CT scans
- ECCV2022 EAGAN: Two-stage NAS for GANs
- AAAI2023 NAS-LID: NAS with Local Intrinsic Dimension

news

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!
Nov 02, 2022	I am honored to serve as a reviewer for CVPR’23.

latest posts

Apr 10, 2024	TACC 集群使用笔记
Apr 10, 2024	Pytorch 使用 storage 实现 offload 参数示例
Apr 10, 2024	TACC 集群使用笔记 - 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}
}