YAN Wenjing

*SHB = Ho Sin Hang Engineering Building, The Chinese University of Hong Kong

Research Interest
  • Optimization and learning theory
  • Robust and adaptive learning
  • Communication-efficient distributed learning
  • Signal processing in communication and networking systems
  • AI and machine learning for communication and networking systems
Courses Taught

YAN Wenjing 闫文靜教授

Research Assistant Professor
MIEEE
BS (CQU), MS (UESTC), PhD (HKUST)
+852 3943-8379
Room 810, Ho Sin Hang Engineering Building, CUHK
Website

Dr. Wenjing Yan is currently a Research Assistant Professor in the Department of Information Engineering at The Chinese University of Hong Kong (CUHK). Prior to joining CUHK, she received her Ph.D. from the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology (HKUST) in 2024. She obtained her M.S. degree from the University of Electronic Science and Technology of China (UESTC) in 2021 and B.Eng degree from Chongqing University in 2018.

Wenjing’s research interests lie in distributed optimization, machine learning theory, and signal processing in communication and networking systems. She presented an oral talk at ICLR 2025 and multiple of her papers have being highly cited. She is a recipient of multiple awards, including the prestigious Master’s Thesis Incentive Program Award from the China Institute of Communications in 2023 (ranked 2nd nationwide), the Outstanding College Graduate Award in Sichuan Province, and the Excellent Master’s Thesis Award from UESTC.

Recent / Selected Publications
  • W. Yan,  K. Zhang, X. Wang, and X. Cao, “Problem-Parameter-Free Federated Learning,” in International Conference on Learning Representations (ICLR), 2025 (Oral, 1.8%).
  • W. Yan and X. Cao, “Decentralized noncooperative games with coupled decision dependent distributions,” in Advances in Neural Information Processing Systems (NeurIPS), 2024.
  • W. Yan and X. Cao, “Zero-regret performative prediction under inequality constraints,” in Advances in Neural Information Processing Systems (NeurIPS), 2023
  • W. Yan and X. Cao, “Decentralized multi-task online convex optimization under random link failures,” IEEE Transactions on Signal Processing (TSP), vol. 72, pp. 622–635, 2024.
  • W. Yan, X. Yuan, and X. Cao, “Frequency reflection modulation for reconfigurable intelligent surface aided OFDM systems,” IEEE Transactions on Wireless Communications (TWC), vol. 21, no. 11, pp. 9381–9393, 2022.
  • W. Yan, X. Yuan, Z.-Q. He, and X. Kuai, “Passive beamforming and information transfer design for reconfigurable intelligent surfaces aided multiuser MIMO systems,” IEEE Journal on Selected Areas in Communications (JSAC, Highly Cited Paper), vol. 38, no. 8, pp. 1793–1808, 2020.
  • W. Yan and X. Yuan, “Semi-blind channel-and-signal estimation for uplink massive MIMO with channel sparsity,” IEEE Access, vol. 7, pp. 95 008–95 020, 2019.
  • W. Yan, X. Yuan, and X. Kuai, “Passive beamforming and information transfer via large intelligent surface,” IEEE Wireless Communications Letters, vol. 9, no. 4, pp. 533–537, 2019.
  • X. Kuai, X. Yuan, W. Yan, and Y.-C. Liang, “Coexistence of human-type and machine-type communications in uplink massive mimo,” IEEE Journal on Selected Areas in Communications (JSAC), vol. 39, no. 3, pp. 804–819, 2020.
  • X. Kuai, X. Yuan, W. Yan, H. Liu, and Y. J. Zhang, “Double-sparsity learning-based channel-and-signal estimation in massive mimo with generalized spatial modulation,” IEEE Transactions on Communications (TWC), vol. 68, no. 5, pp. 2863–2877, 2020.
Research Interest

  • Optimization and learning theory
  • Robust and adaptive learning
  • Communication-efficient distributed learning
  • Signal processing in communication and networking systems
  • AI and machine learning for communication and networking systems
Courses Taught