Research output per year
Research output per year
Personal profile
Biography
Zhenguo Shi received his M.S.(in 2011) degree and PhD (in 2016) from Harbin Institute of Technology( HIT), China. He received his second PhD degree (in 2022) from the University of Technology Sydney, Australia. He was a visiting student at the University of Leeds (2012-2013) and a visiting scholar at the University of Technology Sydney, Australia (2016-2017). He is currently working as a Postdoctoral Research Associate in the School of Computing at the Macquarie University, Australia. His research interests include Wireless sensing, Human activity recognition, IoT, Deep learning, Cognitive radio, Interference alignment, Massive MIMO and UWB wireless communication.
Education/Academic qualification
Wireless communication, PhD, Harbin Institute of Technology
Electrical and Data Engineering, PhD, University of Technology Sydney
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Collaborations and top research areas from the last five years
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Environment-robust device-free human activity recognition with channel-state-information enhancement and one-shot learning
Shi, Z., Zhang, J. A., Xu, R. Y. & Cheng, Q., 1 Feb 2022, In: IEEE Transactions on Mobile Computing. 21, 2, p. 540-554 15 p.Research output: Contribution to journal › Article › peer-review
69 Citations (Scopus) -
Environment-robust WiFi-based human activity recognition using enhanced CSI and deep learning
Shi, Z., Cheng, Q., Zhang, J. A. & Xu, R. Y., 15 Dec 2022, In: IEEE Internet of Things Journal. 9, 24, p. 24643-24654 12 p.Research output: Contribution to journal › Article › peer-review
33 Citations (Scopus) -
Sensing OFDM signal: a deep learning approach
Cheng, Q., Shi, Z., Nguyen, D. N. & Dutkiewicz, E., Nov 2019, In: IEEE Transactions on Communications. 67, 11, p. 7785-7798 14 p.Research output: Contribution to journal › Article › peer-review
49 Citations (Scopus) -
A novel environmentally robust ODDM detection approach using contrastive learning
Cheng, Q., Shi, Z., Yuan, J., Fitzpatrick, P. G. & Sakurai, T., Sept 2023, In: IEEE Transactions on Communications. 71, 9, p. 5274-5286 13 p.Research output: Contribution to journal › Article › peer-review
7 Citations (Scopus) -
A spatial generative adversarial network-based signal detection for MIMO-ODDM systems
Cheng, Q., Shi, Z., Yuan, J. & Lin, H., 2023, 2023 IEEE Global Communications Conference: selected areas in communications: machine learning for communications. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 6536-6541 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review