Zaoxing Liu

According to our database1, Zaoxing Liu authored at least 24 papers between 2015 and 2021.

Collaborative distances:



In proceedings 
PhD thesis 




Jaqen: A High-Performance Switch-Native Approach for Detecting and Mitigating Volumetric DDoS Attacks with Programmable Switches.
Proceedings of the 30th USENIX Security Symposium, 2021

Telemetry Retrieval Inaccuracy in Programmable Switches: Analysis and Recommendations.
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.
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?
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.
Proceedings of the IoTDI '21: International Conference on Internet-of-Things Design and Implementation, 2021

Precise error estimation for sketch-based flow measurement.
Proceedings of the IMC '21: ACM Internet Measurement Conference, 2021

Unleashing In-network Computing on Scientific Workloads.
CoRR, 2020

TEA: Enabling State-Intensive Network Functions on Programmable Switches.
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.
Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

DISCOvering the heavy hitters with disaggregated sketches.
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.
Proceedings of the 1st Symposium on Algorithmic Principles of Computer Systems, 2020

I Know What You Did Last Summer: Network Monitoring using Interval Queries.
Proc. ACM Meas. Anal. Comput. Syst., 2019

Enhancing the Privacy of Federated Learning with Sketching.
CoRR, 2019

Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches.
CoRR, 2019

Nitrosketch: robust and general sketch-based monitoring in software switches.
Proceedings of the ACM Special Interest Group on Data Communication, 2019

Attack Time Localization using Interval Queries.
Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, 2019

DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching.
Proceedings of the 17th USENIX Conference on File and Storage Technologies, 2019

Scalable streaming tools for analyzing N-body simulations: Finding halos and investigating excursion sets in one pass.
Astron. Comput., 2018

New Bounds for the CLIQUE-GAP Problem Using Graph Decomposition Theory.
Algorithmica, 2018

ASAP: Fast, Approximate Graph Pattern Mining at Scale.
Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 2018

Towards Fast and Scalable Graph Pattern Mining.
Proceedings of the 10th USENIX Workshop on Hot Topics in Cloud Computing, 2018

One Sketch to Rule Them All: Rethinking Network Flow Monitoring with UnivMon.
Proceedings of the ACM SIGCOMM 2016 Conference, Florianopolis, Brazil, August 22-26, 2016, 2016

Enabling a "RISC" Approach for Software-Defined Monitoring using Universal Streaming.
Proceedings of the 14th ACM Workshop on Hot Topics in Networks, Philadelphia, PA, USA, November 16, 2015

Streaming Algorithms for Halo Finders.
Proceedings of the 11th IEEE International Conference on e-Science, 2015