Server-Driven Video Streaming for Deep Learning Inference. - Kuntai Du; Ahsan Pervaiz; Xin Yuan; Aakanksha Chowdhery; Qizheng Zhang; Henry Hoffmann; Junchen Jiang (SIGCOMM, 2020)

AccMPEG: Optimizing Video Encoding for Accurate Video Analytics. - Kuntai Du; Qizheng Zhang; Anton Arapin; Haodong Wang; Zhengxu Xia; Junchen Jiang (MLSys, 2022)

Understanding the potential of server-driven edge video analytics. - Qizheng Zhang; Kuntai Du; Neil Agarwal; Ravi Netravali; Junchen Jiang (HotMobile, 2022)

AccMPEG: Optimizing Video Encoding for Video Analytics. - Kuntai Du; Qizheng Zhang; Anton Arapin; Haodong Wang; Zhengxu Xia; Junchen Jiang (CoRR, 2022)

GRACE: Loss-Resilient Real-Time Video Communication Using Data-Scalable Autoencoder. - Yihua Cheng; Anton Arapin; Ziyi Zhang; Qizheng Zhang; Hanchen Li; Nick Feamster; Junchen Jiang (CoRR, 2022)

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)

Optimizing Real-Time Video Experience with Data Scalable Codec. - Hanchen Li; Yihua Cheng; Ziyi Zhang; Qizheng Zhang; Anton Arapin; Nick Feamster; Amrita Mazumdar (EMS@SIGCOMM, 2023)

Grace++: Loss-Resilient Real-Time Video Communication under High Network Latency. - Yihua Cheng; Anton Arapin; Ziyi Zhang; Qizheng Zhang; Hanchen Li; Nick Feamster; Junchen Jiang (CoRR, 2023)

The Dataflow Abstract Machine Simulator Framework. - Nathan Zhang; Rubens Lacouture; Gina Sohn; Paul Mure; Qizheng Zhang; Fredrik Kjolstad; Kunle Olukotun (ISCA, 2024)

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; et al. (NSDI, 2024)

Caravan: Practical Online Learning of In-Network ML Models with Labeling Agents. - Qizheng Zhang; Ali Imran 005; Enkeleda Bardhi; Tushar Swamy; Nathan Zhang; Muhammad Shahbaz 001; Kunle Olukotun (OSDI, 2024)

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 001; Ganesh Ananthanarayanan; Michael Maire; Henry Hoffmann; et al. (SIGCOMM, 2024)

CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion. - Jiayi Yao; Hanchen Li; Yuhan Liu; Siddhant Ray; Yihua Cheng; Qizheng Zhang; Kuntai Du; Shan Lu 001; Junchen Jiang (EuroSys, 2025)

LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits. - Zikai Zhou; Qizheng Zhang; Hermann Kumbong; Kunle Olukotun (CoRR, 2025)

Cost-Efficient Serving of LLM Agents via Test-Time Plan Caching. - Qizheng Zhang; Michael Wornow; Kunle Olukotun (CoRR, 2025)