About me
I am a second-year CS Ph.D. student at Stanford University, advised by Prof. Kunle Olukotun. My research interest is broadly in computer networks, distributed systems, and machine learning.
Previously, I obtained my bachelor’s degree from the University of Chicago, with a triple major in computer science, statistics, and mathematics. During my undergraduate years, I have been fortunate to work with Prof. Junchen Jiang and Prof. Ravi Netravali on video streaming and analytics. I have also interned at the Mathematics and Computer Science Division at Argonne National Laboratory.
The pronunciation of my first name (Qizheng) is very close to that of “keygen” in public key encryption. I also go by Alex.
Last updated: May 2023
You might be looking for…
Personal SF bay area boba/dining map: See here (under construction).
For Spring 2024, the course webpage for CS 244 (Advanced Topics in Networking) is here. You might also want to check out Ed.
- For reading critiques, please send to cs244-spr2324-submit@lists.stanford.edu.
- For project proposals and reports, please send to cs244-spr2324-staff@lists.stanford.edu.
For Spring 2024, the Stanford systems reading group is Tuesday every week 3 - 4 pm at Gates 415. We read and discuss research papers in the general domain of systems. The webpage is here. Sign up for the mailing list here. We have free and high-quality boba for all participants, so please consider joining!
Research
* indicates equivalent contribution
CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving
Yuhan Liu, Hanchen Li, Yihua Cheng, Siddhant Ray, Yuyang Huang, Qizheng Zhang, Kuntai Du, Jiayi Yao, Shan Lu, Ganesh Ananthanarayanan, Michael Maire, Henry Hoffmann, Ari Holtzman, Junchen Jiang
SIGCOMM 2024 (to appear) [preprint] [code]Caravan: Practical Online Learning of In-Network ML Models with Labeling Agents
Qizheng Zhang, Ali Imran, Enkeleda Bardhi, Tushar Swamy, Nathan Zhang, Muhammad Shahbaz, Kunle Olukotun
OSDI 2024 (to appear)The Dataflow Abstract Machine Simulator Framework
Nathan Zhang, Rubens Lacouture, Gina Sohn, Paul Mure, Qizheng Zhang, Fredrik Kjolstad, Kunle Olukotun
ISCA 2024 (to appear)GRACE: Loss-Resilient Real-Time Video through Neural Codecs
Yihua Cheng, Ziyi Zhang, Hanchen Li, Anton Arapin, Yue Zhang, Qizheng Zhang, Yuhan Liu, Kuntai Du, Xu Zhang, Francis Y. Yan, Amrita Mazumdar, Nick Feamster, Junchen Jiang
NSDI 2024 [website] [paper] [code]OneAdapt: Fast Adaptation for Deep Learning Applications via Backpropagation
Kuntai Du, Yuhan Liu, Yitian Hao, Qizheng Zhang, Haodong Wang, Yuyang Huang, Ganesh Ananthanarayanan, Junchen Jiang
SoCC 2023 [paper] [code]Optimizing Real-Time Video Experience with Data Scalable Codec
Hanchen Li*, Yihua Cheng*, Ziyi Zhang, Qizheng Zhang, Anton Arapin, Nick Feamster, Amrita Mazumdar
SIGCOMM EMS Workshop 2023 [paper]AccMPEG: Optimizing Video Encoding for Video Analytics
Kuntai Du, Qizheng Zhang, Anton Arapin, Haodong Wang, Zhengxu Xia, Junchen Jiang
MLSys 2022 [paper] [code]Understanding the Potential of Server-Driven Edge Video Analytics
Qizheng Zhang, Kuntai Du, Neil Agarwal, Ravi Netravali, Junchen Jiang
HotMobile 2022 [paper] [code] [slides] [talk]Server-Driven Video Streaming for Deep Learning Inference
Kuntai Du*, Ahsan Pervaiz*, Xin Yuan, Aakanksha Chowdhery, Qizheng Zhang, Henry Hoffmann, Junchen Jiang
SIGCOMM 2020 [paper] [code]
Teaching
Stanford CS 244: Advanced Topics in Networking
Course Assistant, Spring 2024UChicago CMSC 23000: Operating Systems
Course Assistant, Autumn 2021
Service
Reviewer: NeurIPS 2024
Artifact Evaluation Committee: MLSys 2023, OSDI 2023, ATC 2023
Stanford Computer Science Student Applicant Support Program: 2022, 2023