HE Xin

@article{NASLID,
  pub_note = {利用局部本征维度（LID）量化子网几何特性，以更低内存开销实现准确的超网分区，AAAI 2023 CCF-A。 | Uses local intrinsic dimension to characterize subnet geometry for accurate supernet partition at lower memory cost; AAAI 2023.},
  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}
}

@article{he2021automl,
  pub_note = {AutoML 领域最全综述，覆盖 NAS、HPO、数据增强等方向，KBS 2021，引用量超 2200。 | Comprehensive AutoML survey covering NAS, HPO, and data augmentation; KBS 2021, 2,700+ citations.},
  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, 2700+ citations.},
  zhihu = {https://zhuanlan.zhihu.com/p/158162306},
  corr = {true},
  dimensions = {true},
  google_scholar_id = {zYLM7Y9cAGgC}
}

@inproceedings{He2021AutomatedMD,
  pub_note = {首次将神经架构搜索应用于胸部 CT 新冠肺炎检测，自动设计三维深度学习模型，AAAI 2021 CCF-A。 | First NAS application to COVID-19 chest CT detection, automating 3D deep learning model design; AAAI 2021.},
  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},
}

@book{he2026automl,
  pub_note = {国内首本系统覆盖 NAS、HPO 到大模型推理优化的 AutoML 实战书籍，机械工业出版社，2026。 | First Chinese textbook systematically covering NAS, HPO, and LLM optimization in practice; China Machine Press, 2026.},
  title = {动手学 AutoML：从 NAS 到大语言模型优化实战},
  author = {He, Xin and Chu, Xiaowen and Zhao, Kaiyong and Wang, Qiang and Tang, Zhenheng and Dong, Peijie},
  publisher = {机械工业出版社 (China Machine Press)},
  year = {2026},
  month = jun,
  isbn = {9787111803645},
  note = {贺鑫（新加坡科技研究局 A*STAR / 香港浸会大学 HKBU），褚晓文（香港科技大学广州校区 HKUST(GZ)），赵开勇（其域创新有限公司 Qiyu Innovation Ltd.），王强（哈尔滨工业大学（深圳）HIT Shenzhen），唐桢桁（香港科技大学 HKUST），董佩杰（香港科技大学广州校区 HKUST(GZ)）},
}