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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

[Google Scholar]

Openings

I am looking for self-motivated Postdoc/Ph.D. students to work together on 6G research directions including but not limited to the following:

. Integrated sensing and communications (ISAC)
. THz ultra-massive MIMO communications
. Near-field wireless communications and localization
. Intelligent reflecting surface (IRS)-aided communications
. Machine learning for communications
. Distributed learning

Students with strong backgrounds in wireless communications, signal processing, mathematical optimization, and machine learning are encouraged to apply. If you are interested in joining us, please send your CV, transcript, and ranking to alex.yu@cityu.edu.hk. A post in Chinese can also be found here.

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 [02/2023] Our work “Message passing meets graph neural networks: A new paradigm for massive MIMO systems” has been submitted to IEEE Transactions on Wireless Communications. [Paper]

  • New [01/2023] I joined the Department of Electrical Engineering at City University of Hong Kong. A new journey starts!

  • New [12/2022] A paper on deep learning for channel estimation based on fixed point networks has been submitted to 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]

  • New [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 to IEEE Transactions on Communications (TCOM). [Paper]

  • [06/2022] A paper on learn to communicate with neural calibration has been accepted by 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 by 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 by IEEE Transactions on Communications (TCOM). [Paper]