About Me

I am a Postdoctoral Scholar in the Sky Computing Lab at UC Berkeley EECS. I work under the guidance of Prof. Ion Stoica. Prior to this, I earned my Ph.D. in Computer Science from Rice University, where I was fortunate to work with Prof. Ang Chen.

My research is in the general area of computer systems including machine learning systems, networked systems, and their security challenges.

I am a recipient of Google Ph.D. Fellowship (2022) and a finalist for Meta Ph.D. Research Fellowship (2022).

I will be joining the CS Department at Rice University as a tenure-track Assistant Professor in Fall 2025.

I am seeking self-motivated interns in the directions of LLM systems, networked systems, and system security. If you're interested, please feel free to reach out via email ['jxing AT rice.edu'].

Publications

[Full papers]     [Workshop papers]     [All papers]

EXP-Bench: Can AI Conduct AI Research Experiments?
Patrick Tser Jern Kon, Jiachen Liu, Xinyi Zhu, Qiuyi Ding, Jingjia Peng, Jiarong Xing, Yibo Huang, Yiming Qiu,
Jayanth Srinivasa, Myungjin Lee, Mosharaf Chowdhury, Matei Zaharia, Ang Chen
[arxiv.org 2025]


SkyLB: A Locality-Aware Cross-Region Load Balancer for LLM Inference
Tian Xia, Ziming Mao, Jamison Kerney, Ethan J. Jackson, Zhifei Li, Jiarong Xing, Scott Shenker, Ion Stoica
[arxiv.org 2025]


Prism: Unleashing GPU Sharing for Cost-Efficient Multi-LLM Serving
Shan Yu, Jiarong Xing, Yifan Qiao, Mingyuan Ma, Yangmin Li, Yang Wang, Shuo Yang, Zhiqiang Xie, Shiyi Cao, Ke Bao, Ion Stoica, Harry Xu, Ying Sheng
[arxiv.org 2025]


S*: Test Time Scaling for Code Generation
Dacheng Li, Shiyi Cao, Chengkun Cao, Xiuyu Li, Shangyin Tan, Kurt Keutzer, Jiarong Xing, Joseph E Gonzalez, Ion Stoica
[arxiv.org 2025]


BlendServe: Optimizing Offline Inference for Auto-regressive Large Models with Resource-aware Batching
Yilong Zhao, Shuo Yang, Kan Zhu, Lianmin Zheng, Baris Kasikci, Yang Zhou, Jiarong Xing, Ion Stoica
[arxiv.org 2024]


Disaggregating Embedding Recommendation Systems with FlexEMR
Yibo Huang, Zhenning Yang, Jiarong Xing, Yi Dai, Yiming Qiu, Dingming Wu, Fan Lai, Ang Chen
[arxiv.org 2024]


On the Criticality of Integrity Protection in 5G Fronthaul Networks
Jiarong Xing*, Sophia Yoo*, Xenofon Foukas, Daehyeok Kim, and Michael Reiter
[USENIX Security 2024] [pdf] [slides]


Simplifying Cloud Management with Cloudless Computing
Yiming Qiu, Patrick Tser Jern Kon, Jiarong Xing, Yibo Huang, Hongyi Liu, Xinyu Wang, Peng Huang, Mosharaf Chowdhury, and Ang Chen
[HotNets 2023] [pdf]


Occam: A Programming System for Reliable Network Management
Jiarong Xing*, Kuo-Feng Hsu*, Yiting Xia, Yan Cai, Yanping Li, Ying Zhang, and Ang Chen
[EuroSys 2024] [pdf] [code] [slides]


Unleashing SmartNIC Packet Processing Performance in P4
Jiarong Xing, Yiming Qiu, Kuo-Feng Hsu, Songyuan Sui, Khalid Manaa, Omer Shabtai, Yonatan Piasetzky, Matty Kadosh,
Arvind Krishnamurthy, T. S. Eugene Ng, and Ang Chen
[SIGCOMM 2023] [pdf] [code] [slides]
Featured by Nvidia at HotChips 2023


Enabling Resilience in Virtualized RANs with Atlas
Jiarong Xing*, Junzhi Gong*, Xenofon Foukas, Anuj Kalia, Daehyeok Kim, and Manikanta Kotaru
[MobiCom 2023] [pdf] [slides]


Remote Direct Memory Introspection
Hongyi Liu, Jiarong Xing, Yibo Huang, Danyang Zhuo, Srinivas Devadas, and Ang Chen
[USENIX Security 2023] [pdf] [slides] [code]
Distinguished paper awarded


Runtime Programmable Switches
Jiarong Xing, Kuo-Feng Hsu, Matty Kadosh, Alan Lo, Yonatan Piasetzky, Arvind Krishnamurthy, and Ang Chen
[NSDI 2022] [pdf] [slides] [code] [poster] [HotChip'23 slides]


Bedrock: Programmable Network Support for Secure RDMA Systems
Jiarong Xing*, Kuo-Feng Hsu*, Yiming Qiu, Ziyang Yang, Hongyi Liu, and Ang Chen
[USENIX Security 2022] [pdf] [slides] [code]


Bolt: Bridging the Gap between Auto-tuners and Hardware-native Performance
Jiarong Xing*, Leyuan Wang*, Shang Zhang, Jack Chen, Ang Chen, and Yibo Zhu
[MLSys 2022] [pdf] [slides] [code]
Used by Bytedance


Symbolic Distillation for Learned TCP Congestion Control
S P Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang Chen, Zhangyang Wang
[NeurIPS 2022] [pdf] [code]


A Vision for Runtime Programmable Networks
Jiarong Xing, Yiming Qiu, Kuo-Feng Hsu, Hongyi Liu, Matty Kadosh, Alan Lo, Aditya Akella, Thomas Anderson,
Arvind Krishnamurthy, T. S. Eugene Ng and Ang Chen
[HotNets 2021] [pdf] [video]


Automated SmartNIC Offloading Insights for Network Functions
Yiming Qiu, Jiarong Xing, Kuo-Feng Hsu, Qiao Kang, Ming Liu, Srinivas Narayana, and Ang Chen
[SOSP 2021] [pdf] [code]


Probabilistic Profiling of Stateful Data Planes for Adversarial Testing
Qiao Kang*, Jiarong Xing*, Yiming Qiu, and Ang Chen
[ASPLOS 2021] [pdf] [slides] [code]


Ripple: A Programmable, Decentralized Link-Flooding Defense Against Adaptive Adversaries
Jiarong Xing, Wenqing Wu, and Ang Chen
[USENIX Security 2021] [pdf] [slides] [code]


Secure State Migration in the Data Plane
Jiarong Xing, Ang Chen, and T.S. Eugene Ng
[SIGCOMM SPIN Workshop 2020] [pdf] [slides] [code]


A Feasibility Study on Time-aware Monitoring with Commodity Switches
Yiming Qiu, Kuo-Feng Hsu, Jiarong Xing, and Ang Chen
[SIGCOMM SPIN Workshop 2020] [pdf]


NetWarden: Mitigating Network Covert Channels while Preserving Performance
Jiarong Xing, Qiao Kang, and Ang Chen
[USENIX Security 2020] [pdf] [slides] [code]


Architecting Programmable Data Plane Defenses into the Network with FastFlex
Jiarong Xing, Wenqing Wu, and Ang Chen
[HotNets 2019] [pdf] [slides]


Automated Attack Discovery in Data Plane Systems
Qiao Kang, Jiarong Xing, and Ang Chen
[USENIX CSET Workshop 2019] [pdf] [slides]


NetWarden: Mitigating Network Covert Channels without Performance Loss
Jiarong Xing, Adam Morrison, and Ang Chen
[USENIX HotCloud Workshop 2019] [pdf] [slides]