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SETA: Scaling Environments for Terminal Agents
Qijia Shen, Zhiqi Huang, Vamsidhar Kamanuru, Aznaur Aliev, Jay Rainton, Ahmed Awelkair, Zhichen Zeng, Jiajun Li, Shi Dong, Yueming Yuan, Boyuan Ma, Qizheng Zhang, Jiwei Fu, Yuzhen Mao, Wendong Fan, Ping Nie, Philip Torr, Bernard Ghanem, Changran Hu, Jonathan Lingjie Li, Urmish Thakker, Guohao Li
arXiv preprint, 2026
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PEEK: Context Map as an Orientation Cache for Long-Context LLM Agents
Zhuohan Gu, Qizheng Zhang, Omar Khattab, Samuel Madden
arXiv preprint, 2026
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FrontierSmith: Synthesizing Open-Ended Coding Problems at Scale
Runyuan He, Qiuyang Mang, Shang Zhou, Kaiyuan Liu, Hanchen Li, Huanzhi Mao, Qizheng Zhang, Zerui Li, Bo Peng, Lufeng Cheng, Tianfu Fu, Yichuan Wang, Wenhao Chai, Jingbo Shang, Alex Dimakis, Joseph E. Gonzalez, Alvin Cheung
arXiv preprint, 2026
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Sieve: Dynamic Expert-Aware PIM Acceleration for Evolving Mixture-of-Experts Models
Jungwoo Kim, Rubens Lacouture, Genghan Zhang, Gina Sohn, Qizheng Zhang, Swapnil Gandhi, Christos Kozyrakis, Kunle Olukotun
arXiv preprint, 2026
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Switchcraft: AI Model Router for Agentic Tool Calling
Sharad Agarwal, Pooria Namyar, Alec Wolman, Rahul Ambavat, Ankur Gupta, Qizheng Zhang
arXiv preprint, 2026
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Combee: Scaling Prompt Learning for Self-Improving Language Model Agents
Hanchen Li*, Runyuan He*, Qizheng Zhang, Changxiu Ji, Qiuyang Mang, Xiaokun Chen, Lakshya A Agrawal, Wei-Liang Liao, Eric Yang, Alvin Cheung, James Zou, Kunle Olukotun, Ion Stoica, Joseph E. Gonzalez
Conference on Language Modeling (COLM), 2026
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Learning What to Learn: Curriculum Curation for Test-Time Agent Learning
Qizheng Zhang*, Sherry Ruan*, Shubhangi Upasani, Fenglu Hong, Changxiu Ji, Changran Hu, Bo Li, Hanchen Li, Kunle Olukotun
ICLR Workshop on Memory for LLM-Based Agentic Systems, 2026
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Test-Time Adaptation via Many-Shot Prompting: Benefits, Limits, and Pitfalls
Shubhangi Upasani, Chen Wu, Jay Rainton, Changran Hu, Qizheng Zhang, Bo Li, Urmish Thakker
ICLR Workshop on AI with Recursive Self-Improvement, 2026
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A Benchmark of Expert-Level Academic Questions to Assess AI Capabilities
Center for AI Safety, Scale AI, HLE Contributors Consortium
Nature, 2026
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Adaptation of Agentic AI: A Survey of Post-Training, Memory, and Skills
Pengcheng Jiang, Jiacheng Lin, ..., Qizheng Zhang, ..., Jiawei Han (35 authors in total)
arXiv preprint, 2025
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FrontierCS: Evolving Challenges for Evolving Intelligence
Qiuyang Mang, Wenhao Chai, ..., Qizheng Zhang, ..., Alvin Cheung (52 authors in total)
International Conference on Machine Learning (ICML), 2026
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EvicPress: Joint KV-Cache Compression and Eviction for Efficient LLM Serving
Shaoting Feng, Yuhan Liu, Xiaokun Chen, Hanchen Li, Samuel Shen, Kuntai Du, Zhuohan Gu, Rui Zhang, Yuyang Huang, Yihua Cheng, Jiayi Yao, Qizheng Zhang, Ganesh Ananthanarayanan, Junchen Jiang
arXiv preprint, 2025
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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
arXiv preprint, 2025
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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
International Conference on Learning Representations (ICLR), 2026
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Agentic Bridge Framework: Closing the Gap Between Agentic Capability and Performance Benchmarks
Yun Du, Rubens Lacouture, Qizheng Zhang, Genghan Zhang, Tian Zhao, Kunle Olukotun
NeurIPS Workshop on Machine Learning for Systems, 2025
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LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
Zikai Zhou, Qizheng Zhang, Hermann Kumbong, Kunle Olukotun
International Conference on Machine Learning (ICML), 2025
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Agentic Plan Caching: Test-Time Memory for Fast and Cost-Efficient LLM Agents
Qizheng Zhang, Michael Wornow, Kunle Olukotun
Conference on Neural Information Processing Systems (NeurIPS), 2025
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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
USENIX Symposium on Operating Systems Design and Implementation (OSDI), 2024
SRC JUMP 2.0 Best Paper Award
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The Dataflow Abstract Machine Simulator Framework
Nathan Zhang, Rubens Lacouture, Gina Sohn, Paul Mure, Qizheng Zhang, Fredrik Kjolstad, Kunle Olukotun
ACM/IEEE International Symposium on Computer Architecture (ISCA), 2024
ISCA Distinguished Artifact Award
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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
USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2024
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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
ACM Symposium on Cloud Computing (SoCC), 2023
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Optimizing Real-Time Video Experience with Data Scalable Codec
Hanchen Li*, Yihua Cheng*, Ziyi Zhang, Qizheng Zhang, Anton Arapin, Nick Feamster, Amrita Mazumdar
ACM SIGCOMM Workshop on Emerging Multimedia Systems (EMS), 2023
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AccMPEG: Optimizing Video Encoding for Video Analytics
Kuntai Du, Qizheng Zhang, Anton Arapin, Haodong Wang, Zhengxu Xia, Junchen Jiang
Conference on Machine Learning and Systems (MLSys), 2022
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Understanding the Potential of Server-Driven Edge Video Analytics
Qizheng Zhang, Kuntai Du, Neil Agarwal, Ravi Netravali, Junchen Jiang
ACM International Workshop on Mobile Computing Systems and Applications (HotMobile), 2022
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Server-Driven Video Streaming for Deep Learning Inference
Kuntai Du*, Ahsan Pervaiz*, Xin Yuan, Aakanksha Chowdhery, Qizheng Zhang, Henry Hoffmann, Junchen Jiang
ACM Special Interest Group on Data Communication (SIGCOMM), 2020