Shinan Liu 刘诗楠

Ph.D. in Computer Science,
University of Chicago

shinanliu[AT]uchicago[DOT]edu

Google Scholar Page   CV (Last updated: Mar. 2025)

Research Statement  Teaching Statement 

I am joining the University of Hong Kong as an Assistant Professor starting this fall and I am actively hiring (English | 中文), come join my lab and let’s work together!

Note 1: At this point, the Fall 2025 Ph.D. positions have been filled. I still have opportunities for the Spring or Fall 2026 Ph.D. program, PostDoc, research assistantship, and visiting positions.
Note 2: I’ve received a high volume of applications and may take longer to respond. Thanks for your patience.

Biography

I earned my Ph.D. in the Computer Science Department at the University of Chicago and my advisor is Prof. Nick Feamster. Before coming to UChicago, I was the CEO of a start-up Dominity Security Co., Ltd. I was also a Research Intern at Conviva mentored by Prof. Vyas Sekar.
 
My 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. My work often focuses on network traffic analysis, cellular networks, the Internet of Things, and cyber-physical systems. My work has been recognized and published in top conferences and journals such as USENIX Security, NSDI, SIGMETRICS, CoNext, and UbiComp.

I serve as the head of NSF ACTION AI Institute student advisory council. And I also serve ACM IMC and USENIX NSDI as a PC member and a member of the pre-review task force, and I am also a reviewer of NeurIPS, USENIX ATC, IEEE INFOCOM, IEEE TDSC, IEEE TIFS, IEEE IoTJ, and etc. Additionally, my research has been featured in multiple media outlets, including Forbes, The Wall Street Journal, and ACM TechNews.

Overview of My Research

 

What’s New? 

  • [Talk] Thanks for the invitation from Aript for an exciting guest lecture titled “GenAI for Synthetic Network Traffic” in UCSB. So excited to visit and learn about many exciting projects!
  • [Milestone] I have defended my Ph.D. dissertation titled “Operational Learning Systems for Network Data Intelligence”! Huge thanks to my advisor Nick, my committee members Sanjay, Junchen, Zakir and all my mentors, collaborators, friends and family who attended my defense. It’s been such a wonderful journey!
  • [Award] I was awarded the prestigious Carnegie Bosch Institute fellowship and ACTION AI Post-Doctoral Fellowship. Thanks for the two institutes and my recommenders!
  • [Paper] Our recent work on synthetic network data is now available on arXiv, including NetSSM and NetGuard. We have also released new research on multimodal learning using network and sensory data for digital safety and privacy. Check them out!
  • [Award] So honored and flattered to be recognized as one of the ML and Systems rising stars this year! Thank you, MLCommons! 
  • [Talk] Invited as a speaker at Nokia Bell Labs, amazing to see so many interests from networking experts in my work! 
  • [Paper] We got our paper CATO: End-to-end Optimization of ML Traffic Analysis Pipelines accepted at NSDI 2025. Shout out to Gerry, Francesco, Nick, and Zakir!  See you guys in Philadelphia!
  • [Award] Excited to be accepted to attend the NeTS Early Career Investigator Workshop 2025 at NSF Headquarters! 
  • [Talk] I am very grateful for the warmest welcome extended to me by Prof. Brighten Godfrey and Prof. Tianyin Xu at the UIUC SysNet seminar. The community is super kind and insightful! 

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] CATO: End-to-end Optimization of ML Traffic Analysis Pipelines [arXiv]

Gerry Wan, Shinan Liu, Francesco Bronzino, Nick Feamster, Zakir Durumeric The 22nd USENIX Symposium on Networked Systems Design and Implementation (NSDI ’25), April 2025

[3] 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

[4] 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

[5] 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

[6] 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

[7] 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