Chang Cai's Homepage
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Chang Cai |
About me
I am a Research Assistant Professor at the Department of Electrical and Computer Engineering, The University of Hong Kong, working with Prof. Kaibin Huang. I received my Ph.D. degree in Information Engineering from The Chinese University of Hong Kong in 2025, supervised by Prof. Angela Yingjun Zhang. Before that, I received my B.Eng. degree from the Yingcai Honors College, University of Electronic Science and Technology of China in 2021, advised by Prof. Xiaojun Yuan. My research focuses on signal processing and machine learning for wireless communications, with a particular emphasis on the convergence of model-based algorithms and data-driven learning toward white-box and explainable AI solutions for future wireless networks.
News
[07-2026] Our work on score-based turbo message passing has been accepted by IEEE TSP! [Paper]
[02-2026] Our work on integrated message passing and generative learning for massive connectivity has been accepted by IEEE JSAC! [Paper]
[12-2025] I joined the Dept. of EEE (now ECE), HKU, as a Research Assistant Professor. A new journey began!
[09-2025] Our invited paper on score-based generative modeling for ISAC performance evaluation has been accepted by JCIN. [paper]
[07-2025] I successfully defended my Ph.D. thesis! Heartfelt thanks to my supervisor, Prof. Angela Yingjun Zhang, and to my committee members for their guidance, encouragement, and unwavering support.
[12-2023] Honored to be recognized for my contribution as Managing Editor of the IEEE Open Journal of the Communications Society (2022–2023).
Selected Publications
Edge LLMs, Speculative Decoding
C. Cai, and K. Huang, “Multi-access speculative inference: Uplink or downlink?” submitted to IEEE Transactions on Wireless Communications, 2026. [Paper]
H. Zheng, Z. Wang, M. Cui, C. Cai, H. Du, and K. Huang, “Multi-SPIN: Multi-access speculative inference for cooperative token generation at the edge,” submitted to IEEE Transactions on Wireless Communications, 2026. [Paper]
Score-Based Generative Models, Diffusion Models
C. Cai, B. Teng, X. Yuan, and Y. -J. A. Zhang, “Wireless intelligence needs a cerebellum: Score-based foundation models toward real-time physical-layer inference,” submitted to IEEE Wireless Communications, 2026. [Paper]
C. Cai, H. Jiang, X. Yuan, and Y. -J. A. Zhang, “Score-based turbo message passing for plug-and-play compressive imaging,” IEEE Transactions on Signal Processing, 2026. [Paper] [Code]
C. Cai, W. Jiang, X. Yuan, and Y. -J. A. Zhang, “Joint activity detection and channel estimation for massive connectivity: Where message passing meets score-based generative priors,” IEEE Journal on Selected Areas in Communications, vol. 44, pp. 3575-3590, 2026. [Paper] [Code]
L. Chen, C. Cai*, H. Yang, X. Yuan, and Y. -J. A. Zhang, “Scoring ISAC: Benchmarking integrated sensing and communications via score-based generative modeling,” Journal of Communications and Information Networks, vol. 10, no. 3, pp. 224-245, Sept. 2025. [Invited paper]
Semantic and Task-Oriented Communications
C. Cai, X. Yuan, and Y. -J. A. Zhang, “End-to-end learning for task-oriented semantic communications over MIMO channels: An information-theoretic framework,” IEEE Journal on Selected Areas in Communications, vol. 43, no. 4, pp. 1292-1307, April 2025. [Paper]
C. Cai, X. Yuan, and Y. -J. A. Zhang, “Multi-device task-oriented communication via maximal coding rate reduction,” IEEE Transactions on Wireless Communications, vol. 23, no. 12, pp. 18096-18110, Dec. 2024. [Paper] [Code]
