Publications
2024
[IMC] Raising the Level of Abstraction for Sketch-Based Network Telemetry with SketchPlan
Milind Srivastava, Shao-Tse Hung, Hun Namkung, Kate Lin, Zaoxing Liu, Vyas Sekar
to appear in ACM/SIGCOMM IMC’24
[FAST] In-Memory Key-Value Store Live Migration with NetMigrate
Zeying Zhu, Yibo Zhao, Zaoxing Liu
in USENIX FAST’24
[NSDI] OctoSketch: Enabling Real-Time, Continuous Network Monitoring over Multiple Cores
Yinda Zhang, Peiqing Chen, Zaoxing Liu
in USENIX NSDI’24
[NDSS] TrustSketch: Trustworthy Sketch-based Telemetry on Cloud Hosts
Zhuo Cheng, Maria Apostolaki, Zaoxing Liu, Vyas Sekar
in NDSS Symposium’24
[TDSC] Analyzing the Benefits of Optical Topology Programming for Mitigating Link-Flood DDoS Attacks
Matthew Nance-Hall, Zaoxing Liu, Vyas Sekar, Ramakrishnan Durairajan
in IEEE Transactions on Dependable and Secure Computing
[CoRR] 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
preprint in arXiv
2023
[HotNets] Towards Interactive Research Agents for Internet Incident Investigation
Yajie Zhou* , Nengneng Yu* , Zaoxing Liu
in HotNets’23
[NSDI] Arya: Arbitrary Graph Pattern Mining with Decomposition-based Sampling
Zeying Zhu, Kan Wu, Zaoxing Liu
in USENIX NSDI’23
[NSDI] Sketchovsky: Enabling Ensembles of Sketches on Programmable Switches
Hun Namkung, Zaoxing Liu, Daehyeok Kim, Vyas Sekar, Peter Steenkiste
in USENIX NSDI’23
[VLDB] Panakos: Chasing the Tails for Multidimensional Data Streams
Fuheng Zhao, Punnal Ismail Khan, Divyakant Agrawal, Amr El Abbadi, Arpit Gupta, Zaoxing Liu
in VLDB’23
[SIGCOMM] Beyond a Centralized Verifier: Scaling Data Plane Checking via Distributed, On-Device Verification
Qiao Xiang, Chenyang Huang, Ridi Wen, Yuxin Wang, Xiwen Fan, Zaoxing Alan Liu, Linghe Kong, Dennis Duan, Franck Le, Wei Sun in ACM SIGCOMM’23
2022
[NSDI] HeteroSketch: Coordinating Network-wide Monitoring in Heterogeneous and Dynamic Networks
Anup Agarwal, Zaoxing Liu, Srinivasan Seshan
in USENIX NSDI’22
[NSDI] SketchLib: Enabling Efficient Sketch-based Monitoring on Programmable Switches
Hun Namkung, Zaoxing Liu, Daehyeok Kim, Vyas Sekar, Peter Steenkiste
in USENIX NSDI’22
[VLDB] Enabling Efficient and General Subpopulation Analytics In Multidimensional Data Streams
Antonis Manousis, Zhuo Cheng, Ran Ben Basat, Zaoxing Liu, Vyas Sekar
in VLDB’22
[SOSR] Flow-Level Loss Detection with Δ-Sketches
Shir Landau Feibish, Zaoxing Liu, Nikita Ivkin, Xiaoqi Chen, Vladimir Braverman, Jennifer Rexford
in ACM SOSR’22
2021
[USENIX Security] 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
in USENIX Security’21
[SIGCOMM] 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
in ACM SIGCOMM’21
[IMC] Precise Error Estimation for Sketch-based Flow Measurement
Peiqing Chen, Yuhan Wu, Tong Yang, Junchen Jiang, Zaoxing Liu
in ACM/SIGCOMM IMC’21
[SOSR] Telemetry Retrieval Inaccuracy in Programmable Switches: Analysis and Recommendations
Hun Namkung, Daehyeok Kim, Zaoxing Liu, Vyas Sekar, Peter Steenkiste
in ACM SOSR’21
[TaPoPF] 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
*in 1st IEEE TaPoPF Workshop (NetSoft).
[This is an open-problem paper] *
[IoTDI] SecDeep: Secure and Performant On-device Deep Learning Inference Framework for Mobile and IoT Devices
Renju Liu, Luis Garcia, Zaoxing Liu, Botong Ou, Mani Srivastava
in ACM/IEEE IoTDI 2021
2020
[SIGCOMM] TEA: Enabling State-Intensive Network Functions on Programmable Switches
Daehyeok Kim, Zaoxing Liu, Yibo Zhu, Changhoon Kim, Jeongkeun Lee, Vyas Sekar, Srinivasan Seshan
in ACM SIGCOMM 2020
[MobiCom] 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
in ACM MobiCom 2020
[APoCS] Memory-Efficient Performance Monitoring on Programmable Switches with Lean Algorithms
Zaoxing Liu, Samson Zhou, Ori Rottenstreich, Vladimir Braverman, Jennifer Rexford
in SIAM ACM APoCS 2020 (Co-held with SODA 2020)
[SIGMETRICS] 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
in ACM SIGMETRICS 2020
[CoRR] Unleashing In-network Computing on Scientific Workloads
Daehyeok Kim, Ankush Jain, Zaoxing Liu, George Amvrosiadis, Damian Hazen, Bradley Settlemyer, Vyas Sekar
in arXiv
2019
[SIGCOMM] 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
in ACM SIGCOMM 2019
[FAST] 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
in USENIX FAST 2019
Best Paper Award
[CoRR] Enhancing the Privacy of Federated Learning with Sketching
Zaoxing Liu, Tian Li, Virginia Smith, Vyas Sekar
in arxiv
2018
[OSDI] ASAP: Fast, Approximate Pattern Mining at Scale
Anand Iyer* , Zaoxing Liu* (Co-first author), Xin Jin, Shivaram Venkataraman, Vladimir Braverman, Ion Stoica
in USENIX OSDI 2018
[Blog:the morning paper]
[HotCloud] Towards Fast and Scalable Graph Pattern Mining
Anand Iyer* , Zaoxing Liu* (Co-first author), Xin Jin, Shivaram Venkataraman, Vladimir Braverman, Ion Stoica
in USENIX HotCloud 2018
[Astro. & Comp.] Scalable Streaming Tools for Analyzing N-body Simulations: Finding Halos and Investigating Excursion Sets in One Pass
Nikita Ivkin, Zaoxing Liu, Lin F. Yang, Srinivas Suresh Kumara, Gerard Lemsona, Mark Neyrinckc, Alexander S. Szalay, Vladimir Bravermana, Tamas Budavari
in Astronomy and Computing 2018
2017
[Algorithmica] New Bounds for the CLIQUE-GAP Problem using Graph Decomposition Theory
Vladimir Braverman, Zaoxing Liu, Tejasvam Singh, N.V. Vinodchandran and Lin Yang (Alphabetical)
in Algorithmica 2017
2016
[SIGCOMM] One Sketch to Rule Them All: Rethinking Network Flow Monitoring with UnivMon
Zaoxing Liu, Antonis Manousis, Greg Vorsanger, Vyas Sekar, Vladimir Braverman
in ACM SIGCOMM 2016
Selected as Plenary Talk (“Best of Theory”) at STOC 2018.
2015
[HotNets] Enabling a “RISC” Approach for Software-Defined Monitoring using Universal Streaming
Zaoxing Liu, Greg Vorsanger, Vladimir Braverman, Vyas Sekar
in ACM HotNets 2015.
Best Poster Award at AT&T Research Summit 2016.
[eScience] Streaming Algorithms for Halo Findersg
Zaoxing Liu, Nikita Ivkin, Lin F. Yang, Mark Neyrinck, Gerard Lemson, Alexander S. Szalay, Vladimir Braverman, Tamas Budavari, Randal Burns, and Xin Wang
in IEEE eScience 2015
[MFCS] New Bounds for the CLIQUE-GAP Problem using Graph Decomposition Theory
Vladimir Braverman, Zaoxing Liu, Tejasvam Singh, N.V. Vinodchandran and Lin Yan (Alphabetical)
in MFCS 2015
Last update: July 2023