
Xianghao Yu
Assistant Professor
Department of Electrical Engineering (EE)
City University of Hong Kong
83 Tat Chee Avenue, Kowloon, Hong Kong SAR
Office: Room G6528, Yeung Kin Man Academic Building (YEUNG-G6528)
Telephone: +852 3442-5384
Email: alex.yu@cityu.edu.hk
Biography
I received my B.Eng. degree in information engineering from Southeast University, Nanjing, China, in 2014, under the supervision of Prof. Wei Xu. In Aug. 2018, I received my Ph.D. degree in electronic and computer engineering (ECE) from the Hong Kong University of Science and Technology (HKUST), Hong Kong, China, under the supervision of Prof. Khaled B. LETAIEF. I am currently an Assistant Professor with the Department of Electrical Engineering at City University of Hong Kong (CityU), Hong Kong, China. From 2018 - 2020, I was an Alexander von Humboldt Postdoctoral Fellow with the Institute for Digital Communications, Friedrich-Alexander University of Erlangen-Nuremberg (FAU), Erlangen, Germany, hosted by Prof. Robert Schober. Before joining CityU, I was a Research Assistant Professor with the ECE Department at HKUST. My research interests include millimeter-wave communications, MIMO systems, mathematical optimization, large intelligent surface-assisted communications, and stochastic geometry. I co-authored the book Stochastic Geometry Analysis of Multi-Antenna Wireless Networks (Springer, 2019). I also received the IEEE GLOBECOM 2017 Best Paper Award, the 2018 IEEE Signal Processing Society Young Author Best Paper Award, the IEEE GLOBECOM 2019 Best Paper Award, and the 2023 IEEE Communications Society Leonard G. Abraham Prize.
News
New [12/2023] Join us! Submissions are now open for our Workshop on Model-Driven Deep Learning for 6G at WCNC 2024. Share your insights!
New [11/2023] Exciting news! Our paper on Green Edge AI has been submitted to Proceedings of the IEEE! Welcome any discussions! [Paper]
New [10/2023] I have been ranked among the World’s Top 2% Scientists by Stanford University for citation impact in 2022. [List]
New [09/2023] Our work “Message passing meets graph neural networks: A new paradigm for massive MIMO systems” has been accepted for publication in IEEE Transactions on Wireless Communications. [Paper]
New [06/2023] I join the editorial board of IEEE Communications Letters.
[05/2023] Our paper on deep learning for channel estimation based on fixed point networks has been accepted for publication in IEEE Journal on Selected Topics in Signal Processing (J-STSP), Special Issue on Advanced Signal Processing for Terahertz Communications in 6G and Beyond Networks. [Paper]
[04/2023] Our work “Robust and secure wireless communications via intelligent reflecting surfaces” has received the 2023 IEEE Communications Society Leonard G. Abraham Prize. [Paper]
[04/2023] Mr. Shicong LIU has been awarded by the Hong Kong PhD Fellowship Scheme (HKPFS) for the 2023/24 exercise and will join our group in September 2023. Big congratulations!
[01/2023] I joined the Department of Electrical Engineering at City University of Hong Kong. A new journey starts!
[11/2022] I have been ranked among the World’s Top 2% Scientists by Stanford University for citation impact in 2021. [List]
[10/2022] A paper on integrated sensing and communications (ISAC) has been accepted for publication in IEEE Transactions on Communications (TCOM). [Paper]
[06/2022] A paper on learn to communicate with neural calibration has been accepted for publication in IEEE Transactions on Wireless Communications (TWC). [Paper]
[05/2022] A paper on outage and finite-SNR DMT analysis for IRS-aided MIMO systems has been accepted for publication in IEEE Journal on Selected Topics in Signal Processing (J-STSP), Special Issue on Advanced Signal Processing for Reconfigurable Intelligent Surface-aided 6G Networks. [Paper]
[04/2022] A paper on channel estimation for IRS-assisted mm-wave systems has been accepted for publication in IEEE Transactions on Communications (TCOM). [Paper]
[03/2022] I was listed as one of exemplary reviewers of IEEE Transactions on Communications (TCOM) in 2021.