Streaming Algorithms for Halo Finders. - Zaoxing Liu; Nikita Ivkin; Lin Yang 011; Mark Neyrinck; Gerard Lemson; Alexander S. Szalay; Vladimir Braverman; Tamas Budavari; Randal C. Burns; Xin Wang (e-Science, 2015)

Enabling a "RISC" Approach for Software-Defined Monitoring using Universal Streaming. - Zaoxing Liu; Gregory Vorsanger; Vladimir Braverman; Vyas Sekar (HotNets, 2015)

New Bounds for the CLIQUE-GAP Problem Using Graph Decomposition Theory. - Vladimir Braverman; Zaoxing Liu; Tejasvam Singh; N. V. Vinodchandran; Lin F. Yang (MFCS (2), 2015)

One Sketch to Rule Them All: Rethinking Network Flow Monitoring with UnivMon. - Zaoxing Liu; Antonis Manousis; Gregory Vorsanger; Vyas Sekar; Vladimir Braverman (SIGCOMM, 2016)

Towards Fast and Scalable Graph Pattern Mining. - Anand Padmanabha Iyer; Zaoxing Liu; Xin Jin 008; Shivaram Venkataraman; Vladimir Braverman; Ion Stoica (HotCloud, 2018)

ASAP: Fast, Approximate Graph Pattern Mining at Scale. - Anand Padmanabha Iyer; Zaoxing Liu; Xin Jin 008; Shivaram Venkataraman; Vladimir Braverman; Ion Stoica (OSDI, 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 004; Gerard Lemson; Mark Neyrinck; Alexander S. Szalay; Vladimir Braverman; Tamas Budavari (Astron. Comput., 2018)

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 008; Ion Stoica (FAST, 2019)

Attack Time Localization using Interval Queries. - Nikita Ivkin; Ran Ben Basat; Zaoxing Liu; Gil Einziger; Roy Friedman; Vladimir Braverman (SIGCOMM Posters and Demos, 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 (SIGCOMM, 2019)

Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches. - Tian Li 005; Zaoxing Liu; Vyas Sekar; Virginia Smith (CoRR, 2019)

Enhancing the Privacy of Federated Learning with Sketching. - Zaoxing Liu; Tian Li 005; Virginia Smith; Vyas Sekar (CoRR, 2019)

Memory-Efficient Performance Monitoring on Programmable Switches with Lean Algorithms. - Zaoxing Liu; Samson Zhou; Ori Rottenstreich; Vladimir Braverman; Jennifer Rexford (APOCS, 2020)

DISCOvering the heavy hitters with disaggregated sketches. - Valerio Bruschi; Ran Ben Basat; Zaoxing Liu; Gianni Antichi; Giuseppe Bianchi 001; Michael Mitzenmacher (CoNEXT, 2020)

Joltik: enabling energy-efficient "future-proof" analytics on low-power wide-area networks. - Mingran Yang; Junbo Zhang 001; Akshay Gadre; Zaoxing Liu; Swarun Kumar; Vyas Sekar (MobiCom, 2020)

TEA: Enabling State-Intensive Network Functions on Programmable Switches. - Daehyeok Kim; Zaoxing Liu; Yibo Zhu; Changhoon Kim; Jeongkeun Lee; Vyas Sekar; Srinivasan Seshan (SIGCOMM, 2020)

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 (SIGMETRICS (Abstracts), 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)

Precise error estimation for sketch-based flow measurement. - Peiqing Chen; Yuhan Wu 001; Tong Yang 003; Junchen Jiang; Zaoxing Liu (Internet Measurement Conference, 2021)

SecDeep: Secure and Performant On-device Deep Learning Inference Framework for Mobile and IoT Devices. - Renju Liu; Luis Garcia 001; Zaoxing Liu; Botong Ou; Mani B. Srivastava (IoTDI, 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 (NetSoft, 2021)

CocoSketch: high-performance sketch-based measurement over arbitrary partial key query. - Yinda Zhang 002; Zaoxing Liu; Ruixin Wang; Tong Yang 003; Jizhou Li; Ruijie Miao; Peng Liu 047; Ruwen Zhang; Junchen Jiang (SIGCOMM, 2021)

Telemetry Retrieval Inaccuracy in Programmable Switches: Analysis and Recommendations. - Hun Namkung; Daehyeok Kim; Zaoxing Liu; Vyas Sekar; Peter Steenkiste (SOSR, 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 008; Vladimir Braverman; Minlan Yu; Vyas Sekar (USENIX Security Symposium, 2021)

HeteroSketch: Coordinating Network-wide Monitoring in Heterogeneous and Dynamic Networks. - Anup Agarwal; Zaoxing Liu; Srinivasan Seshan (NSDI, 2022)

SketchLib: Enabling Efficient Sketch-based Monitoring on Programmable Switches. - Hun Namkung; Zaoxing Liu; Daehyeok Kim; Vyas Sekar; Peter Steenkiste (NSDI, 2022)

Flow-level loss detection with Δ-sketches. - Shir Landau Feibish; Zaoxing Liu; Nikita Ivkin; Xiaoqi Chen; Vladimir Braverman; Jennifer Rexford (SOSR, 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)

Towards Interactive Research Agents for Internet Incident Investigation. - Yajie Zhou; Nengneng Yu; Zaoxing Liu (HotNets, 2023)

Enabling Privacy-preserving Multidimensional Network Telemetry with Autoencoders. - Yajie Zhou; Jason Li; Gianluca Stringhini; Ayse K. Coskun; Zaoxing Liu (IC2E, 2023)

Sketchovsky: Enabling Ensembles of Sketches on Programmable Switches. - Hun Namkung; Zaoxing Liu; Daehyeok Kim; Vyas Sekar; Peter Steenkiste (NSDI, 2023)

Arya: Arbitrary Graph Pattern Mining with Decomposition-based Sampling. - Zeying Zhu; Kan Wu; Zaoxing Liu (NSDI, 2023)

Poster: Meili: Towards SmartNIC as a Service. - Qiang Su; Shaofeng Wu; Zhixiong Niu; Ran Shu 001; Peng Cheng 005; Yongqiang Xiong; Chun Jason Xue; Zaoxing Liu; Hong Xu 001 (SIGCOMM, 2023)

Beyond a Centralized Verifier: Scaling Data Plane Checking via Distributed, On-Device Verification. - Qiao Xiang; Chenyang Huang 005; Ridi Wen; Yuxin Wang 003; Xiwen Fan; Zaoxing Liu; Linghe Kong; Dennis Duan; Franck Le; Wei Sun (SIGCOMM, 2023)

Meili: Enabling SmartNIC as a Service in the Cloud. - Qiang Su; Shaofeng Wu; Zhixiong Niu; Ran Shu 001; Peng Cheng 005; Yongqiang Xiong; Chun Jason Xue; Zaoxing Liu; Hong Xu 001 (CoRR, 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)

Toward Fast Query Serving in Key-Value Store Migration with Approximate Telemetry. - Alexander Braverman; Zaoxing Liu (SIGMETRICS Perform. Evaluation Rev., 2023)

CocoSketch: High-Performance Sketch-Based Measurement Over Arbitrary Partial Key Query. - Ruijie Miao; Yinda Zhang 002; Zihao Zheng; Ruixin Wang; Ruwen Zhang; Tong Yang 003; Zaoxing Liu; Junchen Jiang (IEEE/ACM Trans. Netw., 2023)

GEAR: An Efficient Error Reduction Framework for KV Cache Compression in LLM Inference. - Hao Kang; Qingru Zhang; Souvik Kundu 009; Geonhwa Jeong; Zaoxing Liu; Tushar Krishna; Tuo Zhao (ENLSP, 2024)

In-Memory Key-Value Store Live Migration with NetMigrate. - Zeying Zhu; Yibo Zhao; Zaoxing Liu (FAST, 2024)

BitMatcher: Bit-level Counter Adjustment for Sketches. - Qilong Shi; Chengjun Jia; Wenjun Li 004; Zaoxing Liu; Tong Yang 003; Jianan Ji; Gaogang Xie; Weizhe Zhang; Minlan Yu (ICDE, 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 (IMC, 2024)

TrustSketch: Trustworthy Sketch-based Telemetry on Cloud Hosts. - Zhuo Cheng; Maria Apostolaki; Zaoxing Liu; Vyas Sekar (NDSS, 2024)

OctoSketch: Enabling Real-Time, Continuous Network Monitoring over Multiple Cores. - Yinda Zhang 002; Peiqing Chen; Zaoxing Liu (NSDI, 2024)

GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM. - Hao Kang; Qingru Zhang; Souvik Kundu 009; Geonhwa Jeong; Zaoxing Liu; Tushar Krishna; Tuo Zhao (CoRR, 2024)

OctoCache: Caching Voxels for Accelerating 3D Occupancy Mapping in Autonomous Systems. - Peiqing Chen; Minghao Li 003; Zishen Wan; Yu-Shun Hsiao; Minlan Yu; Vijay Janapa Reddi; Zaoxing Liu (ASPLOS (2), 2025)

Rearchitecting Approximation-First Cloud Telemetry. - Zeying Zhu; Zaoxing Liu (SIGCOMM (Posters and Demos), 2025)

Exploiting Kubernetes Autoscaling for Economic Denial of Sustainability. - Jonathan Chamberlain; Jilin Zheng; Zeying Zhu; Zaoxing Liu; David Starobinski (SIGMETRICS (Abstracts), 2025)

Analyzing the Benefits of Optical Topology Programming for Mitigating Link-Flood DDoS Attacks. - Matthew Nance Hall; Zaoxing Liu; Vyas Sekar; Ramakrishnan Durairajan (IEEE Trans. Dependable Secur. Comput., 2025)

Sketch Disaggregation Across Time and Space. - Jonatan Langlet; Peiqing Chen; Michael Mitzenmacher; Ran Ben Basat; Zaoxing Liu; Gianni Antichi (CoRR, 2025)

Approximation-First Timeseries Monitoring Query At Scale. - Zeying Zhu; Jonathan Chamberlain; Kenny Wu; David Starobinski; Zaoxing Liu (Proc. VLDB Endow., 2025)

NetPress: Dynamically Generated LLM Benchmarks for Network Applications. - Yajie Zhou; Jiajun Ruan; Eric S. Wang; Sadjad Fouladi; Francis Y. Yan; Kevin Hsieh; Zaoxing Liu (CoRR, 2025)

Compact Data Structures for Network Telemetry. - Shir Landau Feibish; Zaoxing Liu; Jennifer Rexford (ACM Comput. Surv., 2025)