Renovating road signs for infrastructure-to-vehicle networking: a visible light backscatter communication and networking approach. - Purui Wang; Lilei Feng; Guojun Chen; Chenren Xu; Yue Wu; Kenuo Xu; Guobin Shen; Kuntai Du; Gang Huang 001; Xuanzhe Liu (MobiCom, 2020)

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

Minimizing packet retransmission for real-time video analytics. - Haodong Wang; Kuntai Du; Junchen Jiang (SoCC, 2022)

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)

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)

Automatic and Efficient Customization of Neural Networks for ML Applications. - Yuhan Liu; Chengcheng Wan 001; Kuntai Du; Henry Hoffmann; Junchen Jiang; Shan Lu 001; Michael Maire (CoRR, 2023)

CacheGen: Fast Context Loading for Language Model Applications. - Yuhan Liu; Hanchen Li; Kuntai Du; Jiayi Yao; Yihua Cheng; Yuyang Huang; Shan Lu 001; Michael Maire; Henry Hoffmann; Ari Holtzman; Ganesh Ananthanarayanan; Junchen Jiang (CoRR, 2023)

Run-Time Prevention of Software Integration Failures of Machine Learning APIs. - Chengcheng Wan 001; Yuhan Liu; Kuntai Du; Henry Hoffmann; Junchen Jiang; Michael Maire; Shan Lu 001 (Proc. ACM Program. Lang., 2023)

Eloquent: A More Robust Transmission Scheme for LLM Token Streaming. - Hanchen Li; Yuhan Liu; Yihua Cheng; Siddhant Ray; Kuntai Du; Junchen Jiang (NAIC, 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)

ChameleonAPI: Automatic and Efficient Customization of Neural Networks for ML Applications. - Yuhan Liu; Chengcheng Wan 001; Kuntai Du; Henry Hoffmann; Junchen Jiang; Shan Lu 001; Michael Maire (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)

Chatterbox: Robust Transport for LLM Token Streaming under Unstable Network. - Hanchen Li; Yuhan Liu; Yihua Cheng; Siddhant Ray; Kuntai Du; Junchen Jiang (CoRR, 2024)

Earth+: on-board satellite imagery compression leveraging historical earth observations. - Kuntai Du; Yihua Cheng; Peder A. Olsen; Shadi A. Noghabi; Ranveer Chandra; Junchen Jiang (CoRR, 2024)

Do Large Language Models Need a Content Delivery Network? - Yihua Cheng; Kuntai Du; Jiayi Yao; Junchen Jiang (CoRR, 2024)

LLMSteer: Improving Long-Context LLM Inference by Steering Attention on Reused Contexts. - Zhuohan Gu; Jiayi Yao; Kuntai Du; Junchen Jiang (CoRR, 2024)

RAGServe: Fast Quality-Aware RAG Systems with Configuration Adaptation. - Siddhant Ray; Rui Pan 003; Zhuohan Gu; Kuntai Du; Ganesh Ananthanarayanan; Ravi Netravali; Junchen Jiang (CoRR, 2024)

Earth+: On-Board Satellite Imagery Compression Leveraging Historical Earth Observations. - Kuntai Du; Yihua Cheng; Peder A. Olsen; Shadi A. Noghabi; Junchen Jiang (ASPLOS (1), 2025)

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)

Towards More Economical Context-Augmented LLM Generation by Reusing Stored KV Cache. - Hanchen Li; Yuhan Liu; Yihua Cheng; Kuntai Du; Junchen Jiang (CoRR, 2025)

Jenga: Effective Memory Management for Serving LLM with Heterogeneity. - Chen Zhang 001; Kuntai Du; Shu Liu; Woosuk Kwon; Xiangxi Mo; Yufeng Wang; Xiaoxuan Liu; Kaichao You; Zhuohan Li 001; Mingsheng Long; Jidong Zhai; Joseph Gonzalez 001; et al. (CoRR, 2025)

PrefillOnly: An Inference Engine for Prefill-only Workloads in Large Language Model Applications. - Kuntai Du; Bowen Wang; Chen Zhang 001; Yiming Cheng; Qing Lan; Hejian Sang; Yihua Cheng; Jiayi Yao; Xiaoxuan Liu; Yifan Qiao; Ion Stoica; Junchen Jiang (CoRR, 2025)