Chaoyue Niu
  • Ph.D.
  • Advanced Network Laboratory
  • Department of Computer Science and Engineering
  • Shanghai Jiao Tong University


  • I received my Ph.D. degree in the Department of Computer Science and Engineering, Shanghai Jiao Tong University, in 2021. I received my B.S. degree from the IEEE Honor Class, Shanghai Jiao Tong University, in 2017. I was quite fortunate to be advised by Prof. Fan Wu and Prof. Guihai Chen. I also felt very happy to work closely with Prof. Shaojie Tang and Prof. Zhenzhe Zheng. I was very lucky to ever mentor (learn and grow up together with) 20+ well-motivated undergraduate students, and they were somewhat naughty but highly enthusiastic.
  • My research interests include data sharing (e.g., cross-device federated learning and data trading), deep learning (e.g., recommender systems and distributed optimization), as well as security and privacy (e.g., privacy preservation and verifiable computation). My long-term research goal is to facilitate ultra-scale data shared in an intelligent, secure, and economically-robust way.
  • I held internships in Alibaba Group from Nov. 2018 up till now and in Intel Asia-Pacific R&D Ltd. from Nov. 2016 to Aug. 2017.


  • [Feb. 2021]I received Alibaba Group's Outstanding Research Intern in 2020!
  • [Dec. 2020]I won the 5th Academic Star in Shanghai Jiao Tong University (10 recipients out of all the graduate students) and was ranked 5th! An interview by the university's graduate association is available from its WeChat's official account.
  • [Dec. 2020]The work on client-level influence measurement in federated learning was accepted by AAAI 2021! The preprint is available from arXiv: 2012.10936.
  • [Oct. 2020]The work on verifiable and privacy preserving prediction was accepted by IEEE TDSC!
  • [Sept. 2020]The literature review on the trend from server-based to client-based machine learning was accepted by ACM CSUR!
  • [Aug. 2020]The work on the federated submodel learning framework and its privacy issues was accepted by ACM MobiCom 2020!
  • [June 2020]I received Yang Yuanqing Ph.D. Fellowship!
  • [Feb. 2020]Two optimization-related work on the intermittent client availability and data cyclicity in federated learning are available from arXiv: 2002.07399 and arXiv: 2002.07454, respectively.




Awards & Honors

  • Outstanding Ph.D. Graduate, Shanghai Jiao Tong University, 2021
  • NRIEE Ph.D. Fellowship, 2021
  • Outstanding Research Intern in Alibaba Group, 2020
  • Academic Star in Shanghai Jiao Tong University, Ranked 5th (University-Level), 2020
  • Yang Yuanqing Ph.D. Fellowship, Ranked 1st (Department-Level), 2020
  • National Scholarship, Top 1%, 2019
  • National Scholarship, Top 1%, 2018
  • ACM KDD 2018 Student Travel Grant Award, 2018
  • Outstanding Reviewer of Elsevier Journal of Network and Computer Applications (JNCA), 2018
  • Excellent Bachelor Thesis, Ranked 3rd (Department-Level), 2017
  • China Undergraduate Mathematical Contest in Modeling, National 2nd Prize, 2016
  • China Undergraduate Mathematical Contest in Modeling, 1st Prize in Shanghai Division, 2016

Professional Services

I mainly served as a reviewer of the following conferences and journals:
  • IEEE International Conference on Computer Communications (INFOCOM)
  • ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)
  • IEEE/ACM International Symposium on Quality of Service (IWQoS)
  • IEEE Transactions on Dependable and Secure Computing (TDSC)
  • IEEE Journal on Selected Areas in Communications (JSAC)
  • IEEE Transactions on Mobile Computing (TMC)
  • IEEE/ACM Transactions on Networking (TON)
  • INFORMS Journal on Computing (JOC)
  • Journal of Network and Computer Applications (JNCA)