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2020 – today
- 2024
[c10]Hanchen Li
, Yuhan Liu, Yihua Cheng, Siddhant Ray, Kuntai Du, Junchen Jiang:
Eloquent: A More Robust Transmission Scheme for LLM Token Streaming. NAIC 2024: 34-40- [c9]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:
GRACE: Loss-Resilient Real-Time Video through Neural Codecs. NSDI 2024: 509-531 - [c8]Yuhan Liu, Chengcheng Wan, Kuntai Du, Henry Hoffmann, Junchen Jiang, Shan Lu, Michael Maire:
ChameleonAPI: Automatic and Efficient Customization of Neural Networks for ML Applications. OSDI 2024: 365-386 - [c7]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:
CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving. SIGCOMM 2024: 38-56 - [i8]Hanchen Li, Yuhan Liu, Yihua Cheng, Siddhant Ray, Kuntai Du, Junchen Jiang:
Chatterbox: Robust Transport for LLM Token Streaming under Unstable Network. CoRR abs/2401.12961 (2024) - [i7]Kuntai Du, Yihua Cheng, Peder A. Olsen, Shadi A. Noghabi, Ranveer Chandra, Junchen Jiang:
Earth+: on-board satellite imagery compression leveraging historical earth observations. CoRR abs/2403.11434 (2024) - [i6]Jiayi Yao, Hanchen Li, Yuhan Liu, Siddhant Ray, Yihua Cheng, Qizheng Zhang, Kuntai Du, Shan Lu, Junchen Jiang:
CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion. CoRR abs/2405.16444 (2024) - [i5]Yihua Cheng, Kuntai Du, Jiayi Yao, Junchen Jiang:
Do Large Language Models Need a Content Delivery Network? CoRR abs/2409.13761 (2024) - 2023
- [j1]Chengcheng Wan, Yuhan Liu, Kuntai Du, Henry Hoffmann, Junchen Jiang, Michael Maire, Shan Lu:
Run-Time Prevention of Software Integration Failures of Machine Learning APIs. Proc. ACM Program. Lang. 7(OOPSLA2): 264-291 (2023) - [c6]Kuntai Du, Yuhan Liu, Yitian Hao, Qizheng Zhang, Haodong Wang, Yuyang Huang, Ganesh Ananthanarayanan, Junchen Jiang:
OneAdapt: Fast Adaptation for Deep Learning Applications via Backpropagation. SoCC 2023: 158-176 - [i4]Kuntai Du, Yuhan Liu, Yitian Hao, Qizheng Zhang, Haodong Wang, Yuyang Huang, Ganesh Ananthanarayanan, Junchen Jiang:
OneAdapt: Fast Adaptation for Deep Learning Applications via Backpropagation. CoRR abs/2310.02422 (2023) - [i3]Yuhan Liu, Chengcheng Wan, Kuntai Du, Henry Hoffmann, Junchen Jiang, Shan Lu, Michael Maire:
Automatic and Efficient Customization of Neural Networks for ML Applications. CoRR abs/2310.04685 (2023) - [i2]Yuhan Liu, Hanchen Li, Kuntai Du, Jiayi Yao, Yihua Cheng, Yuyang Huang, Shan Lu, Michael Maire, Henry Hoffmann, Ari Holtzman, Ganesh Ananthanarayanan, Junchen Jiang:
CacheGen: Fast Context Loading for Language Model Applications. CoRR abs/2310.07240 (2023) - 2022
- [c5]Haodong Wang, Kuntai Du, Junchen Jiang:
Minimizing packet retransmission for real-time video analytics. SoCC 2022: 340-347 - [c4]Kuntai Du, Qizheng Zhang, Anton Arapin, Haodong Wang, Zhengxu Xia, Junchen Jiang:
AccMPEG: Optimizing Video Encoding for Accurate Video Analytics. MLSys 2022 - [c3]Qizheng Zhang, Kuntai Du, Neil Agarwal, Ravi Netravali, Junchen Jiang:
Understanding the potential of server-driven edge video analytics. HotMobile 2022: 8-14 - [i1]Kuntai Du, Qizheng Zhang, Anton Arapin, Haodong Wang, Zhengxu Xia, Junchen Jiang:
AccMPEG: Optimizing Video Encoding for Video Analytics. CoRR abs/2204.12534 (2022) - 2020
- [c2]Purui Wang, Lilei Feng, Guojun Chen, Chenren Xu, Yue Wu, Kenuo Xu, Guobin Shen, Kuntai Du, Gang Huang, Xuanzhe Liu:
Renovating road signs for infrastructure-to-vehicle networking: a visible light backscatter communication and networking approach. MobiCom 2020: 6:1-6:13 - [c1]Kuntai Du, Ahsan Pervaiz, Xin Yuan, Aakanksha Chowdhery, Qizheng Zhang, Henry Hoffmann, Junchen Jiang:
Server-Driven Video Streaming for Deep Learning Inference. SIGCOMM 2020: 557-570
Coauthor Index
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