PeopleofSuperintelligence

Researcher

Yiqiang Chen

Also known as 陈益强, Chen Yiqiang

Yiqiang Chen works on federated learning and wearable healthcare at the Institute of Computing Technology of the Chinese Academy of Sciences. He completed a PhD in 2003 at the Institute of Computing Technology, University of Chinese Academy of Sciences, and wearable and transfer learning work received best-paper awards at GameNets in 2014, PlatCon in 2015, and ICCSE in 2018. In 2019 he and coauthors proposed FedHealth, a federated transfer learning framework for wearable healthcare. The IEEE Computer Society named him an IEEE Fellow in 2026 for contributions to federated learning algorithms and standards for healthcare applications. As of October 2026, he is deputy director and a council member of the institute and directs its Research Center for Ubiquitous Computing System.

Now at
Chinese Academy of Sciences, Institute of Computing Technology, Chinese Academy of Sciences and University of Chinese Academy of Sciences
Works
471

Publication numbers from OpenAlex, as of 17 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.

Timeline

  1. 2003

    A doctorate in Beijing

    He completes a PhD in 2003 at the Institute of Computing Technology, University of Chinese Academy of Sciences, in Beijing.

  2. 2014–2018

    Wearable and transfer learning

    His work on wearable and transfer learning receives best-paper awards at GameNets in 2014, PlatCon in 2015, and ICCSE in 2018.

  3. 2018

    Recognition and wellness papers

    In 2018, with Jindong Wang, Vincent W. Zheng, and Meiyu Huang, he proposes a transfer neural network for cross-domain activity recognition, and the manuscript is an ICCSE 2018 best paper. In 2018 he, Chunyu Hu, Bin Hu, and other coauthors publish Inferring cognitive wellness from motor patterns in IEEE Trans. on Knowledge and Data Engineering.

  4. 2019

    FedHealth for wearable care

    In 2019, with Jindong Wang, Chaohui Yu, Wen Gao, and Xin Qin, he proposes FedHealth, the first federated transfer learning framework for wearable healthcare. It receives a 2019 IJCAI-FL best application paper award.

  5. 2026

    IEEE Fellow class of 2026

    He becomes an IEEE Fellow in 2026 for contributions to federated learning algorithms and standards for healthcare applications.

  6. As of October 2026

    Deputy director of the institute

    As of October 2026, he is deputy director and a council member of the Institute of Computing Technology. Alongside that post, he directs the Research Center for Ubiquitous Computing System. He works on intelligent sensing, especially multi-modal learning, association learning, and disease auxiliary diagnosis.

Sources and credits

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  1. Yiqiang Chen csauthors.net. Checked 16 October 2026.
  2. CHEN Yiqiang----Institute of Computing Technology english.ict.cas.cn. Checked 16 October 2026.
  3. [1807.07963] Deep Transfer Learning for Cross-domain Activity Recognition arxiv.org. Checked 16 October 2026.
  4. 陈益强--中国科学院计算技术研究所 ict.ac.cn. Checked 16 October 2026.
  5. [1907.09173] FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare arxiv.org. Checked 16 October 2026.
  6. IEEE Computer Society Announces 2026 Class of Fellow computer.org. Checked 16 October 2026.
  7. IEEE 2026新晋Fellow名单正式公布 – IEEE中国 cn.ieee.org. Checked 16 October 2026.
  8. Leadership----Institute of Computing Technology english.ict.cas.cn. Checked 16 October 2026.