Haoran Wan  

I am a third year Ph.D. student in Computer Science at Princeton University, advised by Professor Kyle Jamieson. My recent research focuses on AI for networking, networking measurement, and congestion control.

Before Princeton, I got my M.E. degree in Computer Science and Technology at Nanjing University and worked with Professor Wei Wang on acoustic sensing.

I received my BEng degree from the School of Information and Communication Engineering of University of Electronic Science and Technology of China in 2019.

I am looking for the internship opportunity in summer 2026, please reach out if you think I am a good fit.

Contact  

Email: haoran.w at princeton.edu

CV & Links  

LinkedIn, CV, Google Scholar, ORCID, DBLP.

Selected Publication (Full List)  

L4Span: Spanning Congestion Signaling over NextG Networks for Interactive Applications
Haoran Wan, Kyle Jamieson
ACM CoNEXT 2025 (To appear), Dec. 2025. [Code]

Automated, Cross-Layer Root Cause Analysis of 5G Video-Conferencing Quality Degradation
Fan Yi, Haoran Wan, Kyle Jamieson, Oliver Michel
ACM IMC 2025 (To appear), Oct. 2025. [Code] [Dataset]

NR-Scope: A Practical 5G Standalone Telemetry Tool
Haoran Wan, Xuyang Cao, Alexander Marder, and Kyle Jamieson
ACM CoNEXT 2024, Dec. 2024. [Code]

Athena: Seeing and Mitigating Wireless Impact on Video Conferencing and Beyond
Fan Yi, Haoran Wan, Kyle Jamieson, Jennifer Rexford, Yaxiong Xie, and Oliver Michel
ACM HotNets 2024, Nov. 2024.

mSilent: Towards General Corpus Silent Speech Recognition using COTS mmWave Radar
Shang Zeng, Haoran Wan, Shuyu Shi, and Wei Wang
ACM UbiComp/IMUWT 2023, Oct. 2023.

ALT: Boosting Deep Learning Performance by Breaking the Wall between Graph and Operator Level Optimizations
Zhiying Xu, Jiafan Xu, Hongding Peng, Wei Wang, Xiaoliang Wang, Haoran Wan, Haipeng Dai, Yixu Xu, Hao Cheng, Kun Wang, and Guihai Chen
ACM EuroSys 2023, May 2023.

VECTOR: Velocity Based Temperature-field Monitoring with Distributed Acoustic Devices
Haoran Wan, Lei Wang, Ting Zhao, Ke Sun, Shuyu Shi, Haipeng Dai, Guihai Chen, Haodong Liu, and Wei Wang
ACM UbiComp/IMUWT 2022 (Distinguished Paper Award, 8 out of 210!), Sep. 2022.

Services 

Reviewer

  • 2024 ACM IMWUT (Ubicomp).
  • 2024 Springer Multimedia Tools and Applications.