Zaoxing Liu

According to our database, Zaoxing Liu authored at least 45 papers between 2015 and 2024.

Collaborative distances:

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

2024

GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM.

Hao Kang, Qingru Zhang, Souvik Kundu, Geonhwa Jeong, Zaoxing Liu, Tushar Krishna, Tuo Zhao

CoRR, 2024

OctoSketch: Enabling Real-Time, Continuous Network Monitoring over Multiple Cores.

Yinda Zhang, Peiqing Chen, Zaoxing Liu

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

TrustSketch: Trustworthy Sketch-based Telemetry on Cloud Hosts.

Zhuo Cheng, Maria Apostolaki, Zaoxing Liu, Vyas Sekar

Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Raising the Level of Abstraction for Sketch-Based Network Telemetry with SketchPlan.

Milind Srivastava, Shao-Tse Hung, Hun Namkung, Kate Ching-Ju Lin, Zaoxing Liu, Vyas Sekar

Proceedings of the 2024 ACM on Internet Measurement Conference, 2024

BitMatcher: Bit-level Counter Adjustment for Sketches.

Qilong Shi, Chengjun Jia, Wenjun Li, Zaoxing Liu, Tong Yang, Jianan Ji, Gaogang Xie, Weizhe Zhang, Minlan Yu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

In-Memory Key-Value Store Live Migration with NetMigrate.

Zeying Zhu, Yibo Zhao, Zaoxing Liu

Proceedings of the 22nd USENIX Conference on File and Storage Technologies, 2024

2023

CocoSketch: High-Performance Sketch-Based Measurement Over Arbitrary Partial Key Query.

Ruijie Miao, Yinda Zhang, Zihao Zheng, Ruixin Wang, Ruwen Zhang, Tong Yang, Zaoxing Liu, Junchen Jiang

IEEE/ACM Trans. Netw., December, 2023

Toward Fast Query Serving in Key-Value Store Migration with Approximate Telemetry.

Alexander Braverman, Zaoxing Liu

SIGMETRICS Perform. Evaluation Rev., September, 2023

Panakos: Chasing the Tails for Multidimensional Data Streams.

Fuheng Zhao, Punnal Ismail Khan, Divyakant Agrawal, Amr El Abbadi, Arpit Gupta, Zaoxing Liu

Proc. VLDB Endow., 2023

Meili: Enabling SmartNIC as a Service in the Cloud.

Qiang Su, Shaofeng Wu, Zhixiong Niu, Ran Shu, Peng Cheng, Yongqiang Xiong, Chun Jason Xue, Zaoxing Liu, Hong Xu

CoRR, 2023

Compact Data Structures for Network Telemetry.

Shir Landau Feibish, Zaoxing Liu, Jennifer Rexford

CoRR, 2023

Beyond a Centralized Verifier: Scaling Data Plane Checking via Distributed, On-Device Verification.

Qiao Xiang, Chenyang Huang, Ridi Wen, Yuxin Wang, Xiwen Fan, Zaoxing Liu, Linghe Kong, Dennis Duan, Franck Le, Wei Sun

Proceedings of the ACM SIGCOMM 2023 Conference, 2023

Poster: Meili: Towards SmartNIC as a Service.

Qiang Su, Shaofeng Wu, Zhixiong Niu, Ran Shu, Peng Cheng, Yongqiang Xiong, Chun Jason Xue, Zaoxing Liu, Hong Xu

Proceedings of the ACM SIGCOMM 2023 Conference, 2023

Arya: Arbitrary Graph Pattern Mining with Decomposition-based Sampling.

Zeying Zhu, Kan Wu, Zaoxing Liu

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Sketchovsky: Enabling Ensembles of Sketches on Programmable Switches.

Hun Namkung, Zaoxing Liu, Daehyeok Kim, Vyas Sekar, Peter Steenkiste

Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

Enabling Privacy-preserving Multidimensional Network Telemetry with Autoencoders.

Yajie Zhou, Jason Li, Gianluca Stringhini, Ayse K. Coskun, Zaoxing Liu

Proceedings of the IEEE International Conference on Cloud Engineering, 2023

Towards Interactive Research Agents for Internet Incident Investigation.

Yajie Zhou, Nengneng Yu, Zaoxing Liu

Proceedings of the 22nd ACM Workshop on Hot Topics in Networks, 2023

2022

Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams.

Antonis Manousis, Zhuo Cheng, Ran Ben Basat, Zaoxing Liu, Vyas Sekar

Proc. VLDB Endow., 2022

Flow-level loss detection with Δ-sketches.

Shir Landau Feibish, Zaoxing Liu, Nikita Ivkin, Xiaoqi Chen, Vladimir Braverman, Jennifer Rexford

Proceedings of the SOSR '22: The ACM SIGCOMM Symposium on SDN Research, Virtual Event, October 19, 2022

SketchLib: Enabling Efficient Sketch-based Monitoring on Programmable Switches.

Hun Namkung, Zaoxing Liu, Daehyeok Kim, Vyas Sekar, Peter Steenkiste

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

HeteroSketch: Coordinating Network-wide Monitoring in Heterogeneous and Dynamic Networks.

Anup Agarwal, Zaoxing Liu, Srinivasan Seshan

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

2021

Jaqen: A High-Performance Switch-Native Approach for Detecting and Mitigating Volumetric DDoS Attacks with Programmable Switches.

Zaoxing Liu, Hun Namkung, Georgios Nikolaidis, Jeongkeun Lee, Changhoon Kim, Xin Jin, Vladimir Braverman, Minlan Yu, Vyas Sekar

Proceedings of the 30th USENIX Security Symposium, 2021

Telemetry Retrieval Inaccuracy in Programmable Switches: Analysis and Recommendations.

Hun Namkung, Daehyeok Kim, Zaoxing Liu, Vyas Sekar, Peter Steenkiste

Proceedings of the SOSR '21: The ACM SIGCOMM Symposium on SDN Research, Virtual Event, USA, October 11, 2021

CocoSketch: high-performance sketch-based measurement over arbitrary partial key query.

Yinda Zhang, Zaoxing Liu, Ruixin Wang, Tong Yang, Jizhou Li, Ruijie Miao, Peng Liu, Ruwen Zhang, Junchen Jiang

Proceedings of the ACM SIGCOMM 2021 Conference, Virtual Event, USA, August 23-27, 2021., 2021

Sketchy With a Chance of Adoption: Can Sketch-Based Telemetry Be Ready for Prime Time?

Zaoxing Liu, Hun Namkung, Anup Agarwal, Antonis Manousis, Peter Steenkiste, Srinivasan Seshan, Vyas Sekar

Proceedings of the 7th IEEE International Conference on Network Softwarization, 2021

SecDeep: Secure and Performant On-device Deep Learning Inference Framework for Mobile and IoT Devices.

Renju Liu, Luis Garcia, Zaoxing Liu, Botong Ou, Mani B. Srivastava

Proceedings of the IoTDI '21: International Conference on Internet-of-Things Design and Implementation, 2021

Precise error estimation for sketch-based flow measurement.

Peiqing Chen, Yuhan Wu, Tong Yang, Junchen Jiang, Zaoxing Liu

Proceedings of the IMC '21: ACM Internet Measurement Conference, 2021

2020

Unleashing In-network Computing on Scientific Workloads.

Daehyeok Kim, Ankush Jain, Zaoxing Liu, George Amvrosiadis, Damian Hazen, Bradley W. Settlemyer, Vyas Sekar

CoRR, 2020

TEA: Enabling State-Intensive Network Functions on Programmable Switches.

Daehyeok Kim, Zaoxing Liu, Yibo Zhu, Changhoon Kim, Jeongkeun Lee, Vyas Sekar, Srinivasan Seshan

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

Joltik: enabling energy-efficient "future-proof" analytics on low-power wide-area networks.

Mingran Yang, Junbo Zhang, Akshay Gadre, Zaoxing Liu, Swarun Kumar, Vyas Sekar

Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

DISCOvering the heavy hitters with disaggregated sketches.

Valerio Bruschi, Ran Ben Basat, Zaoxing Liu, Gianni Antichi, Giuseppe Bianchi, Michael Mitzenmacher

Proceedings of the CoNEXT '20: The 16th International Conference on emerging Networking EXperiments and Technologies, 2020

Memory-Efficient Performance Monitoring on Programmable Switches with Lean Algorithms.

Zaoxing Liu, Samson Zhou, Ori Rottenstreich, Vladimir Braverman, Jennifer Rexford

Proceedings of the 1st Symposium on Algorithmic Principles of Computer Systems, 2020

2019

I Know What You Did Last Summer: Network Monitoring using Interval Queries.

Nikita Ivkin, Ran Ben Basat, Zaoxing Liu, Gil Einziger, Roy Friedman, Vladimir Braverman

Proc. ACM Meas. Anal. Comput. Syst., 2019

Enhancing the Privacy of Federated Learning with Sketching.

Zaoxing Liu, Tian Li, Virginia Smith, Vyas Sekar

CoRR, 2019

Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches.

Tian Li, Zaoxing Liu, Vyas Sekar, Virginia Smith

CoRR, 2019

DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching.

Zaoxing Liu, Zhihao Bai, Zhenming Liu, Xiaozhou Li, Changhoon Kim, Vladimir Braverman, Xin Jin, Ion Stoica

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

Nitrosketch: robust and general sketch-based monitoring in software switches.

Zaoxing Liu, Ran Ben-Basat, Gil Einziger, Yaron Kassner, Vladimir Braverman, Roy Friedman, Vyas Sekar

Proceedings of the ACM Special Interest Group on Data Communication, 2019

Attack Time Localization using Interval Queries.

Nikita Ivkin, Ran Ben Basat, Zaoxing Liu, Gil Einziger, Roy Friedman, Vladimir Braverman

Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, 2019

2018

Scalable streaming tools for analyzing N-body simulations: Finding halos and investigating excursion sets in one pass.

Nikita Ivkin, Zaoxing Liu, Lin F. Yang, S. S. Kumar, Gerard Lemson, Mark Neyrinck, Alexander S. Szalay, Vladimir Braverman, Tamas Budavari

Astron. Comput., 2018

New Bounds for the CLIQUE-GAP Problem Using Graph Decomposition Theory.

Vladimir Braverman, Zaoxing Liu, Tejasvam Singh, N. V. Vinodchandran, Lin F. Yang

Algorithmica, 2018

ASAP: Fast, Approximate Graph Pattern Mining at Scale.

Anand Padmanabha Iyer, Zaoxing Liu, Xin Jin, Shivaram Venkataraman, Vladimir Braverman, Ion Stoica

Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 2018

Towards Fast and Scalable Graph Pattern Mining.

Anand Padmanabha Iyer, Zaoxing Liu, Xin Jin, Shivaram Venkataraman, Vladimir Braverman, Ion Stoica

Proceedings of the 10th USENIX Workshop on Hot Topics in Cloud Computing, 2018

2016

One Sketch to Rule Them All: Rethinking Network Flow Monitoring with UnivMon.

Zaoxing Liu, Antonis Manousis, Gregory Vorsanger, Vyas Sekar, Vladimir Braverman

Proceedings of the ACM SIGCOMM 2016 Conference, Florianopolis, Brazil, August 22-26, 2016, 2016

2015

Enabling a "RISC" Approach for Software-Defined Monitoring using Universal Streaming.

Zaoxing Liu, Gregory Vorsanger, Vladimir Braverman, Vyas Sekar

Proceedings of the 14th ACM Workshop on Hot Topics in Networks, Philadelphia, PA, USA, November 16, 2015

Streaming Algorithms for Halo Finders.

Zaoxing Liu, Nikita Ivkin, Lin Yang, Mark Neyrinck, Gerard Lemson, Alexander S. Szalay, Vladimir Braverman, Tamas Budavari, Randal C. Burns, Xin Wang

Proceedings of the 11th IEEE International Conference on e-Science, 2015