S. N. Liu

Assistant Professor · Faculty of Engineering · The University of Hong Kong

Quick answer: S. N. Liu is Assistant Professor at The University of Hong Kong. S. N. Liu shows an active PhD hiring signal as of 2026-10-19.

⭐ I am actively hiring Ph.D. students, MPhil students, research assistants, and PostDoc scholars for 2027 Spring / Fall (English | 中文), come join my lab and let's work together! Note: I've received a high volume of applications and may take longer to respond. Thanks for your patience.

Research interests

ML for Systems, Systems for ML Network Security and Privacy Cyber-physical Intelligence and Digital Health

Selected publications (since 2023)

[1] ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis [paper] Shinan Liu, Ted Shaowang, Gerry Wan, Jeewon Chae, Jonatas Marques, Sanjay Krishnan, Nick Feamster. The 17th Edition of Annual ACM Symposium on Cloud Computing (SoCC'26), November 2026. [2] Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams [paper] Ted Shaowang, Shinan Liu, Jonatas Marques, Nick Feamster, Sanjay Krishnan The 52nd International Conference on Very Large Data Bases (VLDB'26), August 2026 [3] WiFinger: Fingerprinting Noisy IoT Event Traffic Using Packet-level Sequence Matching [paper] Ronghua Li, Shinan Liu, Haibo Hu, Qingqing Ye, Nick Feamster The 33rd edition of the Network and Distributed System Security Symposium (NDSS'26), Feburary 2026 [4] NetSSM: Multi-

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Frequently asked questions

Is S. N. Liu hiring PhD students at The University of Hong Kong?

Yes. As of 2026-10-19, S. N. Liu's faculty page shows a PhD hiring signal: I am actively hiring Ph.D. students, MPhil students, research assistants, and PostDoc scholars for 2027 Spring / Fall (English | 中文), come join my lab and let's work together! Note: I've received a hi.

What does S. N. Liu research?

ML for Systems, Systems for ML Network Security and Privacy Cyber-physical Intelligence and Digital Health

Data last updated: 2026-10-19 · Source: phd-match.com faculty database.

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