Biography
Prof. Shinan Liu is an Assistant Professor at the Department of Data and Systems Engineering, University of Hong Kong. He directs the Networked AI Systems and Security (NAISS) Lab. He earned his Ph.D. in Computer Science from the University of Chicago, where he is advised by Prof. Nick Feamster. He led the NSF ACTION AI Institute student advisory council and is a recipient of the ML and Systems Rising Stars, the CBI fellowship, the ACTION AI Fellowship, and the Daniels Fellowship.
His research lies in the area of computer networking and security, with a focus on developing accessible, reliable, and performant machine learning systems for network data analysis, and employing network data analysis for critical issues in security and privacy. His work has been recognized and published in top conferences and journals such as USENIX Security, NSDI, SIGMETRICS, CoNext, and UbiComp. Shinan serves ACM IMC and USENIX NSDI as a PC member and a member of the pre-review task force, and he is also a reviewer of NeurIPS, USENIX ATC, IEEE INFOCOM, IEEE TDSC, IEEE TIFS, IEEE IoTJ, and etc. Additionally, his research has been featured in multiple media outlets, including Forbes, The Wall Street Journal, and ACM TechNews.
Research Interests
- ML for Systems, Systems for ML
- Network Security and Privacy
- Cyber-physical Intelligence and Digital Health
Selected Manuscripts (Chronological Order)
[1] ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis [arXiv]
Shinan Liu, Ted Shaowang, Gerry Wan, Jeewon Chae, Jonatas Marques, Sanjay Krishnan, Nick Feamster (In Submission）
[2] Distributed Multi-Antenna GPS Spoofing Attack using Off-the-Shelf Devices [paper]
Xiang Cheng, Hanchao Yang, Shinan Liu, Yaling Yang. 18th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec ’25, ????Best Full Paper Award), July 2025
[3] CATO: End-to-end Optimization of ML Traffic Analysis Pipelines [paper]
Gerry Wan, Shinan Liu, Francesco Bronzino, Nick Feamster, Zakir Durumeric The 22nd USENIX Symposium on Networked Systems Design and Implementation (NSDI ’25), April 2025
[4] NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation [paper] [blog] [code] [news coverage]
Xi Jiang, Shinan Liu, Aaron Gember-Jacobson, Arjun Nitin Bhagoji, Paul Schmitt, Francesco Bronzino, Nick Feamster. ACM SIGMETRICS / IFIP PERFORMANCE 2024（SIGMTRICS’24), June. 2024
[5] AMIR: Active Multimodal Interaction Recognition from Video and Network Traffic in Connected Environments [paper] [website] [data] [pipeline] [model] [blog]
Shinan Liu, Tarun Mangla, Ted Shaowang, Jinjin Zhao, John Paparrizos, Sanjay Krishnan, Nick Feamster Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (UbiComp/IMWUT’23), October 2023
[6] LEAF: Navigating Concept Drift in Cellular Networks [paper] [data]
Shinan Liu, Francesco Bronzino, Paul Schmitt, Arjun Nitin Bhagoji, Nick Feamster, Hector Garcia Crespo, Timothy Coyle, Brian Ward. The 19th International Conference on emerging Networking EXperiments and Technologies（CoNext’23）, December 2023
[7] Stars Can Tell: A Robust Method to Defend against GPS Spoofing Attacks Using Off-the-shelf Chipset [paper] [website] [data] [apk release]
Shinan Liu*, Xiang Cheng*, Hanchao Yang, Yuanchao Shu, Xiaoran Weng, Ping Guo, Kexiong (Curtis) Zeng, Gang Wang, Yaling Yang. 30th USENIX Security Symposium（USENIX Security’21）, August 2021
[8] All Your GPS Are Belong To Us: Towards Stealthy Manipulation of Road Navigation Systems [paper] [demo][media coverages]
Kexiong (Curtis) Zeng, Shinan Liu, Yuanchao Shu, Dong Wang, Haoyu Li, Yanzhi Dou, Gang Wang and Yaling Yang. 27th USENIX Security Symposium（USENIX Security’18）, August 2018