Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0002-3611-9404
Scopus Author ID: 57210840481
Google Scholar Profile: 2V2CfHgAAAAJ
Impact
Biography
Dr. Qun Song is currently an Assistant Professor in the Department of Electrical Engineering at City University of Hong Kong. She received her Ph.D. degree from Nanyang Technological University, Singapore and her B.Eng. degree from Nankai University, China. Dr. Song's research areas include cyber-physical systems (CPSs) and Internet of Things (IoT). Her research aims to advance AI-powered cyber-physical systems (CPSs) and Internet of Things (IoT) systems by addressing critical real-world challenges (e.g., robustness, security, privacy, efficiency, multi-modal fusion, etc.) and developing novel sensing technologies powered by AI. She is the recipient of the 2023 MobiCom Best Community Contribution Award, the 2022 SenSys Best Paper Award Finalist, and the 2021 IPSN Best Artifact Award Runner-up.
Position(s) Available
Ph.D. positions (enroll in Sep 2026) are available in Dr. Song's group. Interested candidates can email their CVs, transcripts, TOEFL/IELTS, and representative publications (if applicable). Visiting students are also welcome.
Research Interests/Areas
Cyber-physical systems, Internet of Things, sensing, mobile computing
Education/Academic qualification
BEng, Nankai
PhD, NTU Singapore
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 11 Sustainable Cities and Communities
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Collaborations from the last five years
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Research output
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Demo: Zero-Shot Acoustic SLAM on Smartphones
Yu, Z., Yau, D. K. Y., Shen, Y., Fan, X., Chen, T. & Song, Q., 20 Jun 2026, MobiSys Companion '26: Proceedings of the 24th Annual International Conference on Mobile Systems, Applications and Services Companion. Association for Computing Machinery, p. 175-176Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open AccessFile -
Depth Priors-informed Purification Defense for Car-Borne LiDAR Vehicle Detection
Xu, Y., Ma, Z., Song, Q., Wang, J. & Tan, R., 20 Jun 2026, MobiSys Workshop '26: Proceedings of the 24th Annual International Conference on Mobile Systems, Applications and Services Workshops. Association for Computing Machinery, p. 239-243Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open AccessFile -
Gradient Enhancement Task Aware Post-training Quantization
Shao, Y., Gu, Y., Yan, M., Chen, S., Liu, H., Yan, Z., Li, Y., Wang, Y., SONG, Q., Tang, H., Qin, H., Guo, J. & Sebe, N., 10 Aug 2026, The 35th International Joint Conference on Artificial Intelligence: IJCAI'26.Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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Knowledge-aware replay for multi-label class-incremental learning
Cao, C., Chen, X., Song, Q., Tan, R., Li, Y.-H. & Wang, J., 15 Dec 2026, In: Expert Systems with Applications. 331, Part A, 18 p., 133167.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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SVDefense: Effective Defense against Gradient Inversion Attacks via Singular Value Decomposition
Luo, C., Yau, D. & Song, Q., Feb 2026, Network and Distributed System Security (NDSS) Symposium 2026. Internet Society, 19 p.Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access