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.
Journal
- Song, Qun. , Tan, Rui. , Ren, Chao. , Xu, Yan. , Lou, Yang. , Wang, Jianping. & Gooi, Hoay Beng. (2022). On Credibility of Adversarial Examples against Learning-Based Grid Voltage Stability Assessment. IEEE Transactions on Dependable and Secure Computing.
- Song, Qun. , Yan, Zhenyu. & Tan, Rui. (2021). DeepMTD: Moving Target Defense for Deep Visual Sensing against Adversarial Examples. ACM Transactions on Sensor Networks.
Conference Paper
- Xu, Yihan. , Guo, Dongfang. , Song, Qun. , Lou, Yang. , Zhu, Yi. , Wang, Jianping. , Qiao, Chunming. & Tan, Rui. (2025). Dynamic Defense for Car-Borne LiDAR Vehicle Detection. The 23rd ACM International Conference on Mobile Systems, Applications, and Services (MobiSys).
- Lou, Yang. , Zhu, Yi. , Song, Qun. , Tan, Rui. , Qiao, Chunming. , Lee, Wei-Bin. & Wang, Jianping. (2024). A First Physical-World Trajectory Prediction Attack via LiDAR-induced Deceptions in Autonomous Driving. 33rd USENIX Security Symposium (USENIX Security).
- Xue, Dinghao. , Fan, Xiaoran. , Chen, Tao. , Lan, Guohao. & Song, Qun. (2024). Leveraging Foundation Models for Zero-Shot IoT Sensing. 27th European Conference on Artificial Intelligence (ECAI).
- He, Yuze. , Bian, Chen. , Xia, Jingfei. , Shi, Shuyao. , Yan, Zhenyu. , Song, Qun. & Xing, Guoliang. (2023). VI-Map: Infrastructure-Assisted Real-Time HD Mapping for Autonomous Driving. 29th Annual International Conference on Mobile Computing and Networking (MobiCom).
- Luo, Wenjie. , Song, Qun. , Yan, Zhenyu. , Tan, Rui. & Lin, Guosheng. (2022). Indoor Smartphone SLAM with Learned Echoic Location Features. 20th Conference on Embedded Networked Sensor Systems (SenSys).
- Jiang, Linshan. , Song, Qun. , Tan, Rui. & Li, Mo. (2022). PriMask: Cascadable and Collusion-Resilient Data Masking for Mobile Cloud Inference. 20th Conference on Embedded Networked Sensor Systems (SenSys).
- Song, Qun. , Yan, Zhenyu. & Tan, Rui. (2019). Moving target defense for embedded deep visual sensing against adversarial examples. 17th Conference on Embedded Networked Sensor Systems (SenSys).
- Song, Qun. , Gu, Chaojie. & Tan, Rui. (2018). Deep room recognition using inaudible echos. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (UbiComp).
Openings
- 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.
Last update date :
08 Jul 2025
