Mike Wong

About Me

I am a fifth-year PhD candidate in the Computer Science Department at Princeton University where I work with Ravi Netravali. I am broadly interested in the intersection between computer networks, systems, and machine learning. In my work, I develop specialized ML systems that achieve high performance by incorporating insights from their real-world deployment environments.

Prior to Princeton, I worked at the National Security Agency in Fort Meade, MD where I contributed to Ghidra and developed ML-driven techniques for malware analysis. I received my bachelor's degree in computer science from New York University in 2019 where I worked with Anirudh Sivaraman and Srinivas Narayana (Rutgers University).

During the summers of 2022 and 2025, I was an intern at Microsoft Research, Redmond where I was part of the Networking Research Group and the Cloud Systems Reliability Research Group.

Publications

• GPUs, CPUs, and ... NICs: Rethinking the Network's Role in Serving Complex AI Pipelines
  Mike Wong, Ulysses Butler, Emma Farkash, Praveen Tammana, Anirudh Sivaraman, Ravi Netravali
  arXiv:2502.15712

• MadEye: Boosting Live Video Analytics Accuracy with Adaptive Camera Configurations
  Mike Wong, Murali Ramanujam, Guha Balakrishnan, Ravi Netravali
  USENIX NSDI 2024

• NetVigil: Robust and Low-Cost Anomaly Detection for East-West Data Center Security
  Kevin Hsieh^†, Mike Wong^†, Santiago Segarra, Sathiya Kumaran Mani, Trevor Eberl, Anatoliy Panasyuk, Ravi Netravali, Ranveer Chandra, Srikanth Kandula (^† equal contribution)
  USENIX NSDI 2024

• Marvolo: Programmatic Data Augmentation for Deep Malware Detection
  Mike Wong, Edward Raff, James Holt, Ravi Netravali
  ECML PKDD 2023
  Previous version in AI4Cyber/MLHat at KDD 2022

• Synthesizing Safe and Efficient Kernel Extensions for Packet Processing
  Qiongwen Xu, Michael D. Wong, Tanvi Wagle, Srinivas Narayana, Anirudh Sivaraman
  ACM SIGCOMM 2021
  Also accepted to the BPF & Networking Summit at LPC 2021
  [K2 webpage]

• Testing Compilers for Programmable Switches Through Switch Hardware Simulation
  Michael D. Wong, Aatish Kishan Varma, Anirudh Sivaraman
  ACM CoNEXT 2020

• Switch Code Generation Using Program Synthesis
  Xiangyu Gao, Taegyun Kim, Michael D. Wong, Divya Raghunathan, Aatish Kishan Varma, Pravein Govindan Kannan, Anirudh Sivaraman, Srinivas Narayana, Aarti Gupta
  ACM SIGCOMM 2020

Patents

• Detecting Network Anomalies Using Network Flow Data
  Tsuwang Hsieh, Santiago Martin Segarra, Sathiya Kumaran Mani, Srikanth Kandula, Michael Dean Wong
  US patent App. 18/367,775

Volunteering

In my free time, I volunteer for Princeton's Prison Teaching Initiative, where I teach math to incarcerated students in prisons across New Jersey.