About Me

I am Yuchang Sun.

Currently, I am a Ph.D. candidate in Department of Electronic and Computer Engineering, the Hong Kong University of Science and Technology, supervised by Prof. Jun Zhang and (informally) co-supervised by Dr. Yuyi Mao from PolyU.

I am looking for work opportunies in China, Hong Kong SAR, and Singapore. Besides, any collaboration chances are welcome!

News!

Education Background

• Ph.D. student, Dept. ECE, The Hong Kong University of Science and Technology, Hong Kong, China, Aug. 2021-Now

• Research graduate student, Dept. EIE, The Hong Kong Polytechnic University, Hong Kong, China, Aug. 2020-Jun. 2021

• B. Eng. in Electronic Information Engineering, Beijing Institute of Technology, Beijing, China, Sept. 2016-Jun. 2020

Internship

• Research intern in Alibaba DAMO Academy, Hangzhou, China, Aug. 2023-Present

• Visiting scholar in Eurecom, France, under the supervision of Prof. Marios Kountouris, Feb. 2023-Jul. 2023

Research (Google scholar)

I am working on federated learning and distribution optimization; I am also very interested in game theory.

If you are interested in my research, do not hesitate to contact me (firstname.familyname at connect.ust.hk) in English or Chinese.

Publications

Client Dropout

• MimiC: Combating Client Dropouts in Federated Learning by Mimicking Central Updates

  • Authors: Y. Sun, Y. Mao, J. Zhang
  • Accepted to IEEE Transactions on Mobile Computing (CCF A).
  • This is one of my personally favourite ideas! A chinese introduction is online here.
  • Codes are available at here.

Client scheduling

• Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning

  • Authors: Y. Sun, Z. Lin, Y. Mao, S. Jin, J. Zhang
  • Accepted to IEEE Transactions on Wireless Communication (CAS R1,IF: 10.4).

Coded FL

• Stochastic Coded Federated Learning: Theoretical Analysis and Incentive Mechanism Design

  • Authors: Y. Sun, J. Shao, S. Li, Y. Mao, J. Zhang
  • Accepted to IEEE Transactions on Wireless Communication (CAS R1,IF: 10.4).
  • Fun fact: this paper has the same submission and acceptance dates!

• DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing

  • Authors: J. Shao, Y. Sun, S. Li, J. Zhang
  • Accepted by NeurIPS 2022 (CCF A).
  • Please refer to this link for a Chinese introduction.

• Stochastic Coded Federated Learning with Convergence and Privacy Guarantees

  • Authors: Y. Sun, J. Shao, S Li, Y. Mao, J. Zhang (equal contribution with Jiawei SHAO)
  • Accepted to IEEE ISIT 2022 (Flagship conference of the IEEE Information Theory Society).
  • Please refer to this link for a Chinese introduction.

Semi-Decentralized FEEL (A Chinese Introduction)

• Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity

  • Authors: Y. Sun, J. Shao, Y. Mao, J.H. Wang, J. Zhang
  • Accepted to IEEE Transactions on Network and Service Management, vol. 20, no. 2, pp. 1487-1501, Jun. 2023.

• Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients

  • Authors: Y. Sun, J. Shao, Y. Mao, J. Zhang
  • Accepted to IEEE ICC 2022 (Flagship conference of the IEEE Communications Society).
  • Thank my co-authors, without whom I can’t make it!

• Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data

  • Authors: Y. Sun, J. Shao, Y. Mao, JH Wang, J Zhang
  • Accepted to IEEE WCNC 2022.
  • My first paper accepted!

Talks

• “Semi-Decentralized Federated Edge Learning with Data and Device Heterogeneity,” ECE Future Leaders PG Seminar Series
  • HKUST, Sept. 2022.

Services

Reviewer

• Journal: IEEE JSAC, IEEE TCOM (2022 Exemplary reviewer), IEEE TMLCN
• Conference: IEEE GLOBECOM, IEEE SPAWC

Teaching

• 2021/22 Spring, TA of ELEC1100.
  • A 30-min talk was scheduled on 15th, Mar, 2022.
• 2022/23 Fall, TA of ELEC1010 and EESM5900.

Selected Awards

• Overseas Research Award, Feb.~Jul. 2023, the HKUST Fok Ying Tung Graduate School

• Outstanding Graduates in Beijing (Top 4%), Jul. 2020

• National Scholarship (Top 2%), AY 2018/19

• DWIN Scholarship (Top 2%), AY 2017/18

• Second Prize, the Ninth National College Student Mathematics Competition, Nov. 2018

Others

See this page.