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2020 – today
- 2023
[j5]Fuheng Zhao, Punnal Ismail Khan, Divyakant Agrawal, Amr El Abbadi, Arpit Gupta, Zaoxing Liu:
Panakos: Chasing the Tails for Multidimensional Data Streams. Proc. VLDB Endow. 16(6): 1291-1304 (2023)- [c26]Zeying Zhu, Kan Wu, Zaoxing Liu:
Arya: Arbitrary Graph Pattern Mining with Decomposition-based Sampling. NSDI 2023: 1013-1030 - [c25]Hun Namkung, Zaoxing Liu, Daehyeok Kim, Vyas Sekar, Peter Steenkiste:
Sketchovsky: Enabling Ensembles of Sketches on Programmable Switches. NSDI 2023: 1273-1292 - 2022
- [j4]Antonis Manousis, Zhuo Cheng, Ran Ben Basat, Zaoxing Liu, Vyas Sekar:
Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams. Proc. VLDB Endow. 15(11): 3249-3262 (2022) - [c24]Anup Agarwal, Zaoxing Liu, Srinivasan Seshan:
HeteroSketch: Coordinating Network-wide Monitoring in Heterogeneous and Dynamic Networks. NSDI 2022: 719-741 - [c23]Hun Namkung, Zaoxing Liu, Daehyeok Kim, Vyas Sekar, Peter Steenkiste:
SketchLib: Enabling Efficient Sketch-based Monitoring on Programmable Switches. NSDI 2022: 743-759 - [c22]Shir Landau Feibish, Zaoxing Liu, Nikita Ivkin, Xiaoqi Chen, Vladimir Braverman, Jennifer Rexford:
Flow-level loss detection with Δ-sketches. SOSR 2022: 25-32 - [e1]Diogo Barradas, Zaoxing Liu, Georgiana Caltais:
FFSPIN '22: Proceedings of the ACM SIGCOMM Workshop on Formal Foundations and Security of Programmable Network Infrastructures, Amsterdam, The Netherlands, August 22, 2022. ACM 2022, ISBN 978-1-4503-9329-4 [contents] - [i7]Antonis Manousis, Zhuo Cheng, Ran Ben Basat, Zaoxing Liu, Vyas Sekar:
Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams. CoRR abs/2208.04927 (2022) - 2021
- [c21]Peiqing Chen, Yuhan Wu, Tong Yang, Junchen Jiang, Zaoxing Liu:
Precise error estimation for sketch-based flow measurement. Internet Measurement Conference 2021: 113-121 - [c20]Renju Liu, Luis Garcia, Zaoxing Liu, Botong Ou, Mani B. Srivastava
:
SecDeep: Secure and Performant On-device Deep Learning Inference Framework for Mobile and IoT Devices. IoTDI 2021: 67-79 - [c19]Zaoxing Liu, Hun Namkung, Anup Agarwal, Antonis Manousis, Peter Steenkiste, Srinivasan Seshan, Vyas Sekar:
Sketchy With a Chance of Adoption: Can Sketch-Based Telemetry Be Ready for Prime Time? NetSoft 2021: 9-16 - [c18]Yinda Zhang, Zaoxing Liu, Ruixin Wang, Tong Yang, Jizhou Li, Ruijie Miao, Peng Liu, Ruwen Zhang, Junchen Jiang:
CocoSketch: high-performance sketch-based measurement over arbitrary partial key query. SIGCOMM 2021: 207-222 - [c17]Hun Namkung, Daehyeok Kim, Zaoxing Liu, Vyas Sekar, Peter Steenkiste:
Telemetry Retrieval Inaccuracy in Programmable Switches: Analysis and Recommendations. SOSR 2021: 176-182 - [c16]Zaoxing Liu, Hun Namkung, Georgios Nikolaidis, Jeongkeun Lee, Changhoon Kim, Xin Jin, Vladimir Braverman, Minlan Yu, Vyas Sekar:
Jaqen: A High-Performance Switch-Native Approach for Detecting and Mitigating Volumetric DDoS Attacks with Programmable Switches. USENIX Security Symposium 2021: 3829-3846 - 2020
- [c15]Zaoxing Liu, Samson Zhou, Ori Rottenstreich, Vladimir Braverman, Jennifer Rexford:
Memory-Efficient Performance Monitoring on Programmable Switches with Lean Algorithms. APOCS 2020: 31-44 - [c14]Valerio Bruschi, Ran Ben Basat, Zaoxing Liu, Gianni Antichi, Giuseppe Bianchi, Michael Mitzenmacher:
DISCOvering the heavy hitters with disaggregated sketches. CoNEXT 2020: 536-537 - [c13]Mingran Yang, Junbo Zhang, Akshay Gadre, Zaoxing Liu, Swarun Kumar, Vyas Sekar:
Joltik: enabling energy-efficient "future-proof" analytics on low-power wide-area networks. MobiCom 2020: 47:1-47:14 - [c12]Daehyeok Kim, Zaoxing Liu, Yibo Zhu, Changhoon Kim, Jeongkeun Lee, Vyas Sekar, Srinivasan Seshan:
TEA: Enabling State-Intensive Network Functions on Programmable Switches. SIGCOMM 2020: 90-106 - [c11]Nikita Ivkin, Ran Ben Basat, Zaoxing Liu, Gil Einziger, Roy Friedman, Vladimir Braverman:
I Know What You Did Last Summer: Network Monitoring using Interval Queries. SIGMETRICS (Abstracts) 2020: 61-62 - [i6]Daehyeok Kim, Ankush Jain, Zaoxing Liu, George Amvrosiadis, Damian Hazen, Bradley W. Settlemyer, Vyas Sekar:
Unleashing In-network Computing on Scientific Workloads. CoRR abs/2009.02457 (2020) - [i5]Zaoxing Liu, Hun Namkung, Anup Agarwal, Antonis Manousis, Peter Steenkiste, Srinivasan Seshan, Vyas Sekar:
Sketchy With a Chance of Adoption: Can Sketch-Based Telemetry Be Ready for Prime Time? CoRR abs/2012.06001 (2020)
2010 – 2019
- 2019
- [j3]Nikita Ivkin, Ran Ben Basat, Zaoxing Liu, Gil Einziger, Roy Friedman, Vladimir Braverman:
I Know What You Did Last Summer: Network Monitoring using Interval Queries. Proc. ACM Meas. Anal. Comput. Syst. 3(3): 61:1-61:28 (2019) - [c10]Zaoxing Liu, Zhihao Bai, Zhenming Liu, Xiaozhou Li, Changhoon Kim, Vladimir Braverman, Xin Jin, Ion Stoica:
DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching. FAST 2019: 143-157 - [c9]Nikita Ivkin, Ran Ben Basat, Zaoxing Liu, Gil Einziger, Roy Friedman, Vladimir Braverman:
Attack Time Localization using Interval Queries. SIGCOMM Posters and Demos 2019: 85-87 - [c8]Zaoxing Liu, Ran Ben-Basat, Gil Einziger, Yaron Kassner, Vladimir Braverman, Roy Friedman, Vyas Sekar:
Nitrosketch: robust and general sketch-based monitoring in software switches. SIGCOMM 2019: 334-350 - [c7]Zaoxing Liu, Zhihao Bai, Zhenming Liu, Xiaozhou Li, Changhoon Kim, Vladimir Braverman, Xin Jin, Ion Stoica:
DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching. USENIX Annual Technical Conference 2019 - [i4]Zaoxing Liu, Zhihao Bai, Zhenming Liu, Xiaozhou Li, Changhoon Kim, Vladimir Braverman, Xin Jin, Ion Stoica:
DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching. CoRR abs/1901.08200 (2019) - [i3]Tian Li, Zaoxing Liu, Vyas Sekar, Virginia Smith:
Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches. CoRR abs/1911.00972 (2019) - [i2]Zaoxing Liu, Tian Li, Virginia Smith, Vyas Sekar:
Enhancing the Privacy of Federated Learning with Sketching. CoRR abs/1911.01812 (2019) - [i1]Zaoxing Liu, Samson Zhou, Ori Rottenstreich, Vladimir Braverman, Jennifer Rexford:
Memory-Efficient Performance Monitoring on Programmable Switches with Lean Algorithms. CoRR abs/1911.06951 (2019) - 2018
- [j2]Vladimir Braverman, Zaoxing Liu, Tejasvam Singh, N. V. Vinodchandran, Lin F. Yang:
New Bounds for the CLIQUE-GAP Problem Using Graph Decomposition Theory. Algorithmica 80(2): 652-667 (2018) - [j1]Nikita Ivkin, Zaoxing Liu, Lin F. Yang, S. S. Kumar, Gerard Lemson, Mark Neyrinck, Alexander S. Szalay, Vladimir Braverman, Tamas Budavari:
Scalable streaming tools for analyzing N-body simulations: Finding halos and investigating excursion sets in one pass. Astron. Comput. 23: 166-179 (2018) - [c6]Anand Padmanabha Iyer, Zaoxing Liu, Xin Jin, Shivaram Venkataraman, Vladimir Braverman, Ion Stoica:
Towards Fast and Scalable Graph Pattern Mining. HotCloud 2018 - [c5]Anand Padmanabha Iyer, Zaoxing Liu, Xin Jin, Shivaram Venkataraman, Vladimir Braverman, Ion Stoica:
ASAP: Fast, Approximate Graph Pattern Mining at Scale. OSDI 2018: 745-761 - 2016
- [c4]Zaoxing Liu, Antonis Manousis, Gregory Vorsanger, Vyas Sekar, Vladimir Braverman:
One Sketch to Rule Them All: Rethinking Network Flow Monitoring with UnivMon. SIGCOMM 2016: 101-114 - 2015
- [c3]Zaoxing Liu, Nikita Ivkin, Lin Yang, Mark Neyrinck, Gerard Lemson, Alexander S. Szalay, Vladimir Braverman, Tamas Budavari, Randal C. Burns, Xin Wang:
Streaming Algorithms for Halo Finders. e-Science 2015: 342-351 - [c2]Zaoxing Liu, Gregory Vorsanger, Vladimir Braverman, Vyas Sekar:
Enabling a "RISC" Approach for Software-Defined Monitoring using Universal Streaming. HotNets 2015: 21:1-21:7 - [c1]Vladimir Braverman, Zaoxing Liu, Tejasvam Singh, N. V. Vinodchandran, Lin F. Yang:
New Bounds for the CLIQUE-GAP Problem Using Graph Decomposition Theory. MFCS (2) 2015: 151-162
Coauthor Index
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last updated on 2023-05-12 21:04 CEST by the dblp team
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