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Dr Qingqing Cheng

Dr Qingqing Cheng

Associate Lecturer
Engineering
Electrical Engineering and Telecommunications

Qingqing Cheng received her M.E. degree from the Harbin Institute of Technology, China in 2014, the Master of Research (MRes) degree from the Macquarie University, Australia, in 2016 and the Ph.D. degree from the University of Technology Sydney, Australia in 2020. She is currently working as a Postdoctoral Research Associate in the School of Electrical Engineering and Telecommunications at the University of New South Wales, Australia. Her research interests include orthogonal time frequency space, integrated access and backhaul, deep learning, 5G security, privacy preservation, cognitive radio, and massive MIMO.
  • Journal articles | 2023
    Cheng Q; Shi Z; Yuan J; Fitzpatrick PG; Sakurai T, 2023, 'A Novel Environmentally Robust ODDM Detection Approach Using Contrastive Learning', IEEE Transactions on Communications, 71, pp. 5274 - 5286, http://dx.doi.org/10.1109/TCOMM.2023.3282959
    Journal articles | 2022
    Shi Z; Cheng Q; Zhang JA; Yi Da Xu R, 2022, 'Environment-Robust WiFi-Based Human Activity Recognition Using Enhanced CSI and Deep Learning', IEEE Internet of Things Journal, 9, pp. 24643 - 24654, http://dx.doi.org/10.1109/JIOT.2022.3192973
    Journal articles | 2022
    Shi Z; Zhang JA; Xu RY; Cheng Q, 2022, 'Environment-Robust Device-Free Human Activity Recognition with Channel-State-Information Enhancement and One-Shot Learning', IEEE Transactions on Mobile Computing, 21, pp. 540 - 554, http://dx.doi.org/10.1109/TMC.2020.3012433
    Journal articles | 2020
    Cheng Q; Hu C; Wang G; Zou Z; Yang H; Dai L, 2020, 'Carbon-Defect-Driven Electroless Deposition of Pt Atomic Clusters for Highly Efficient Hydrogen Evolution', Journal of the American Chemical Society, 142, pp. 5594 - 5601, http://dx.doi.org/10.1021/jacs.9b11524
    Journal articles | 2020
    Cheng Q; Nguyen DN; Dutkiewicz E; Mueck M, 2020, 'Preserving Honest/Dishonest Users' Operational Privacy with Blind Interference Calculation in Spectrum Sharing System', IEEE Transactions on Mobile Computing, 19, pp. 2874 - 2890, http://dx.doi.org/10.1109/TMC.2019.2936377
    Journal articles | 2019
    Cheng Q; Shi Z; Nguyen DN; Dutkiewicz E, 2019, 'Sensing OFDM Signal: A Deep Learning Approach', IEEE Transactions on Communications, 67, pp. 7785 - 7798, http://dx.doi.org/10.1109/TCOMM.2019.2940013
    Journal articles | 2018
    Shi Z; Wu Z; Yin Z; Yang Z; Cheng Q, 2018, 'Novel Markov channel predictors for interference alignment in cognitive radio network', Wireless Networks, 24, pp. 1915 - 1925, http://dx.doi.org/10.1007/s11276-017-1445-x
    Journal articles | 2015
    Shi Z; Wu Z; Yin Z; Cheng Q, 2015, 'Novel spectrum sensing algorithms for OFDM cognitive radio networks', Sensors (Switzerland), 15, pp. 13966 - 13993, http://dx.doi.org/10.3390/s150613966
  • Conference Papers | 2023
    Cheng Q; Shi Z; Yuan J; Fitzpatrick PG; Sakurai T, 2023, 'Novel ODDM Signal Detection using Contrastive Learning for High Reliability and Fast Convergence', in IEEE International Conference on Communications, pp. 1280 - 1285, http://dx.doi.org/10.1109/ICC45041.2023.10279016
    Conference Papers | 2023
    Cheng Q; Shi Z; Yuan J; Lin H, 2023, 'A Spatial Generative Adversarial Network-based Signal Detection for MIMO-ODDM Systems', in Proceedings - IEEE Global Communications Conference, GLOBECOM, pp. 6536 - 6541, http://dx.doi.org/10.1109/GLOBECOM54140.2023.10437518
    Conference Papers | 2022
    Cheng Q; Shi Z; Yuan J; Zhou M, 2022, 'Environment-robust Signal Detection for OTFS Systems Using Deep Learning', in Proceedings - IEEE Global Communications Conference, GLOBECOM, pp. 5219 - 5224, http://dx.doi.org/10.1109/GLOBECOM48099.2022.10000940
    Conference Papers | 2021
    Cheng Q; Shi Z; Yuan J, 2021, 'Spectrum Sensing in Full-Duplex OFDM Systems using One-Shot Learning', in IEEE International Conference on Communications, http://dx.doi.org/10.1109/ICC42927.2021.9500575
    Conference Papers | 2021
    Cheng Q; Wei Z; Yuan J, 2021, 'Deep Reinforcement Learning-based Spectrum Allocation and Power Management for IAB Networks', in 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings, http://dx.doi.org/10.1109/ICCWorkshops50388.2021.9473755
    Conference Papers | 2020
    Cheng Q; Lin Z; Zhang JA; Nguyen D; Huang X; Kekirigoda A; Hui KP, 2020, 'Multi-user MIMO with Jamming Suppression for Spectrum-Efficient Tactical Communications', in 2020 14th International Conference on Signal Processing and Communication Systems, ICSPCS 2020 - Proceedings, http://dx.doi.org/10.1109/ICSPCS50536.2020.9310062
    Conference Papers | 2020
    Cheng Q; Shi Z; Nguyen DN; Dutkiewicz E, 2020, 'Non-cooperative OFDM Spectrum Sensing Using Deep Learning', in 2020 International Conference on Computing, Networking and Communications, ICNC 2020, pp. 704 - 708, http://dx.doi.org/10.1109/ICNC47757.2020.9049678
    Conference Papers | 2020
    Shi Z; Andrew Zhang J; Xu RY; Cheng Q, 2020, 'WiFi-based activity recognition using activity filter and enhanced correlation with deep learning', in 2020 IEEE International Conference on Communications Workshops, ICC Workshops 2020 - Proceedings, http://dx.doi.org/10.1109/ICCWorkshops49005.2020.9145101
    Conference Papers | 2020
    Shi Z; Zhang JA; Xu R; Cheng Q; Pearce A, 2020, 'Towards Environment-independent Human Activity Recognition using Deep Learning and Enhanced CSI', in Proceedings - IEEE Global Communications Conference, GLOBECOM, http://dx.doi.org/10.1109/GLOBECOM42002.2020.9322627
    Conference Papers | 2019
    Cheng Q; Shi Z; Nguyen DN; Dutkiewicz E, 2019, 'An OFDM sensing algorithm in full-duplex systems with self-interference and carrier frequency offset', in Proceedings - IEEE Global Communications Conference, GLOBECOM, http://dx.doi.org/10.1109/GLOBECOM38437.2019.9014093
    Conference Papers | 2019
    Kekirigoda A; Hui KP; Cheng Q; Lin Z; Andrew Zhang J; Nguyen DN; Huang X, 2019, 'Massive MIMO for Tactical Ad-hoc Networks in RF Contested Environments', in Proceedings - IEEE Military Communications Conference MILCOM, http://dx.doi.org/10.1109/MILCOM47813.2019.9020756
    Conference Papers | 2019
    Shi Z; Zhang JA; Xu R; Cheng Q, 2019, 'Deep Learning Networks for Human Activity Recognition with CSI Correlation Feature Extraction', in IEEE International Conference on Communications, http://dx.doi.org/10.1109/ICC.2019.8761445
    Conference Papers | 2018
    Cheng Q; Nguyen DN; Dutkiewicz E; Mueck MD, 2018, 'Protecting Operational Information of Incumbent and Secondary Users in FCC Spectrum Access System', in IEEE International Conference on Communications, http://dx.doi.org/10.1109/ICC.2018.8422847
    Conference Papers | 2018
    Wang H; Nguyen DN; Hoang DT; Dutkiewicz E; Cheng Q, 2018, 'Real-Time Crowdsourcing Incentive for Radio Environment Maps: A Dynamic Pricing Approach', in Proceedings - IEEE Global Communications Conference, GLOBECOM, http://dx.doi.org/10.1109/GLOCOM.2018.8647268
    Conference Papers | 2017
    Cheng Q; Dutkiewicz E; Fang G; Shi Z; Nguyen DN; Wang H, 2017, 'A Novel Full-Duplex Spectrum Sensing Algorithm for OFDM Signals in Cognitive Radio Networks', in Proceedings - IEEE Global Communications Conference, GLOBECOM, pp. 1 - 6, http://dx.doi.org/10.1109/GLOCOM.2017.8254111
    Conference Papers | 2017
    Cheng Q; Nguyen DN; Dutkiewicz E; Mueck MD, 2017, 'Preserving operational information in spectrum access system with dishonest users', in 2017 17th International Symposium on Communications and Information Technologies, ISCIT 2017, pp. 1 - 6, http://dx.doi.org/10.1109/ISCIT.2017.8261209
    Conference Papers | 2016
    Cheng Q; Fang G; Nguyen D; Dutkiewicz E, 2016, 'Novel pilot decontamination methods for Massive MIMO systems under practical scenarios', in 2016 16th International Symposium on Communications and Information Technologies, ISCIT 2016, pp. 77 - 81, http://dx.doi.org/10.1109/ISCIT.2016.7751595