Qizheng Zhang

According to our database, Qizheng Zhang authored at least 18 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Continuum: Efficient and Robust Multi-Turn LLM Agent Scheduling with KV Cache Time-to-Live.

Hanchen Li, Qiuyang Mang, Runyuan He, Qizheng Zhang, Huanzhi Mao, Xiaokun Chen, Alvin Cheung, Joseph Gonzalez, Ion Stoica

CoRR, November, 2025

Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models.

Qizheng Zhang, Changran Hu, Shubhangi Upasani, Boyuan Ma, Fenglu Hong, Vamsidhar Kamanuru, Jay Rainton, Chen Wu, Mengmeng Ji, Hanchen Li, Urmish Thakker, James Zou, Kunle Olukotun

CoRR, October, 2025

FlowRL: Matching Reward Distributions for LLM Reasoning.

Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang, Hengli Li, Kaiyan Zhang, Che Jiang, Youbang Sun, Ermo Hua, Yuxin Zuo, Xingtai Lv, Qizheng Zhang, Lin Chen, Fanghao Shao, Bo Xue, Yunchong Song, Zhenjie Yang, Ganqu Cui, Ning Ding, Jianfeng Gao, Xiaodong Liu, Bowen Zhou, Hongyuan Mei, Zhouhan Lin

CoRR, September, 2025

Cost-Efficient Serving of LLM Agents via Test-Time Plan Caching.

Qizheng Zhang, Michael Wornow, Kunle Olukotun

CoRR, June, 2025

LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits.

Zikai Zhou, Qizheng Zhang, Hermann Kumbong, Kunle Olukotun

Proceedings of the Forty-second International Conference on Machine Learning, 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, Junchen Jiang

Proceedings of the Twentieth European Conference on Computer Systems, 2025

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, Ganesh Ananthanarayanan, Michael Maire, Henry Hoffmann, Ari Holtzman, Junchen Jiang

Proceedings of the ACM SIGCOMM 2024 Conference, 2024

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

Proceedings of the 3rd Workshop on Practical Adoption Challenges of ML for Systems, 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, Junchen Jiang

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

The Dataflow Abstract Machine Simulator Framework.

Nathan Zhang, Rubens Lacouture, Gina Sohn, Paul Mure, Qizheng Zhang, Fredrik Kjolstad, Kunle Olukotun

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

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

Optimizing Real-Time Video Experience with Data Scalable Codec.

Hanchen Li, Yihua Cheng, Ziyi Zhang, Qizheng Zhang, Anton Arapin, Nick Feamster, Amrita Mazumdar

Proceedings of the 2023 Workshop on Emerging Multimedia Systems, 2023

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

Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

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

AccMPEG: Optimizing Video Encoding for Video Analytics.

Kuntai Du, Qizheng Zhang, Anton Arapin, Haodong Wang, Zhengxu Xia, Junchen Jiang

CoRR, 2022

Understanding the potential of server-driven edge video analytics.

Qizheng Zhang, Kuntai Du, Neil Agarwal, Ravi Netravali, Junchen Jiang

Proceedings of the HotMobile '22: The 23rd International Workshop on Mobile Computing Systems and Applications, Tempe, Arizona, USA, March 9, 2022

AccMPEG: Optimizing Video Encoding for Accurate Video Analytics.

Kuntai Du, Qizheng Zhang, Anton Arapin, Haodong Wang, Zhengxu Xia, Junchen Jiang

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

2020

Server-Driven Video Streaming for Deep Learning Inference.

Kuntai Du, Ahsan Pervaiz, Xin Yuan, Aakanksha Chowdhery, Qizheng Zhang, Henry Hoffmann, Junchen Jiang

Proceedings of the SIGCOMM '20: Proceedings of the 2020 Annual conference of the ACM Special Interest Group on Data Communication on the applications, 2020