Bio

I am now an Associate Professor at Institute of Computing Technology, Chinese Academy of Sciences (ICT-CAS), supported by CAS Pioneer Hundred Talents Program(中科院率先行动“百人计划”). Before joining ICT, I was a Researcher at Huawei Future Network Theory Lab in Hong Kong from September 2015 to September 2017. I got my Ph.D. degree in August 2015 in Department of Computer Science and Engineering, The Chinese University of Hong Kong, advised by Professor Patrick P. C. Lee. I received my bachelor degree in Computer Science from Peking University in 2011.
Research interests:
My research mainly focuses on distributed stream processing and network measurement. I'm also interested in areas including distributed systems, computer networks, operating systems, cloud computing, randomized algorithms and machine learning.

Publications

[Conference]

  1. Lu Tang, Qun Huang, Patrick P. C. Lee.
    SpreadSketch: Toward Invertible and Network-Wide Detection of Superspreaders.
    INFOCOM, 2020. (AR: 268/1354=19.7%)
  2. Yang Shi, Jiawei Fei, Mei Wen, Qun Huang, Wu Nan..
    Metaflow: A Better Traffic Abstraction for Distributed Applications.
    HPCC, 2019.
  3. Lu Tang, Qun Huang, Patrick P. C. Lee.
    MV-Sketch: A Fast and Compact Invertible Sketch for Heavy Flow Detection in Network Data Streams.
    INFOCOM, 2019. (AR: 288/1464=19.7%)
  4. Qun Huang, Patrick P. C. Lee, Yungang Bao.
    SketchLearn: Relieving User Burdens in Approximate Measurement with Automated Statistical Inference.
    SIGCOMM, 2018. (AR: 40/222=18.1%)
  5. Tong Yang, Jie Jiang, Peng Liu, Qun Huang, Junzhi Gong, Yang Zhou, Rui Miao, Xiaoming Li, Steve Uhlig.
    Elastic Sketch: Adaptive and Fast Network-wide Measurements.
    SIGCOMM, 2018. (AR: 40/222=18.1%)
  6. Qun Huang, Xin Jin, Patrick P. C. Lee, Runhui Li, Lu Tang, Yi-Chao Chen, Gong Zhang.
    SketchVisor: Robust Network Measurement for Software Packet Processing.
    SIGCOMM, 2017. (AR: 36/250=14.4%)
  7. Runhui Li, Xiaolu Li, Patrick P. C. Lee, Qun Huang.
    Repair Pipelining for Erasure-Coded Storage.
    USENIX Annual Technical Conference (ATC), 2017. (AR: 60/283=21.2%)
  8. Qun Huang, Patrick P. C. Lee.
    Toward High-Performance Distributed Stream Processing via Approximate Fault Tolerance.
    PVLDB, 2016.
  9. Qun Huang, Patrick P. C. Lee, Caifeng He, Jianfeng Qian, Cheng He.
    Fine-Grained Dissection of WeChat in Cellular Networks.
    IWQoS, 2015. (AR: 20/89=22.5%)
  10. Qun Huang, Patrick P. C. Lee, Zhibin Zhang.
    Exploiting Intra-Packet Dependency for Fine-Grained Protocol Format Inference.
    IFIP Networking, 2015. (AR: 47/202=23.3%)
  11. Qun Huang, Patrick P. C. Lee.
    LD-Sketch: A Distributed Sketching Design for Accurate and Scalable Anomaly Detection in Network Data Streams.
    INFOCOM, 2014. (AR: 320/1645=19.4%)
[Journal]
  1. Xiang Chen, Dong Zhang, Qun Huang, Xiaoyan Hong, Chunming Wu, Haifeng Zhou, Yi Yang, Hongyan Liu.
    P4SC: A High Performance and Flexible Framework for Service Function Chain.
    IEEE Access, 2019.
  2. Tong Yang, Jie Jiang, Peng Liu, Qun Huang, Junzhi Gong, Yang Zhou, Rui Miao, Xiaoming Li, and Steve Uhlig.
    Adaptive Measurements using One Elastic Sketch.
    IEEE/ACM Transactions on Networking, 2019.
  3. Zhinan Cheng, Qun Huang, Patrick P. C. Lee.
    On the Performance and Convergence of Distributed Stream Processing via Approximate Fault Tolerance.
    VLDB Journal, 2019.
  4. Qi Li, Xiaoyue Zou, Qun Huang, Jing Zheng, Patrick P. C. Lee.
    Dynamic Packet Forwarding Verification in SDN.
    IEEE Transactions on Dependable and Secure Computing (TDSC)
    (Special issue: Security in Emerging Networking Technologies), 2018.
  5. Qun Huang, Patrick P. C. Lee.
    A Hybrid Local and Distributed Sketching Design for Accurate and Scalable Heavy Key Detection in Network Data Streams.
    Computer Networks, Elsevier, 2015.
    (An earlier version appeared in INFOCOM 2014).
  6. Qun Huang, Patrick P. C. Lee.
    An Experimental Study of Cascading Performance Interference in a Virtualized Environment.
    ACM SIGMETRICS Performance Evaluation Review (invited paper), 40(4), pp. 43-52, March 2013.
[Workshop and Posters]
  1. Yang Shi, Jiawei Fei, Qun Huang, Mei Wen..
    Metaflow: A DAG-Based Network Abstraction for Distributed Applications.
    NSDI Poster, 2019.
  2. Tong Yang, Lun Wang, Yulong Shen, Muhammad Shahzad, Qun Huang, Xiaohong Jiang, Kun Tan, Xiaoming Li.
    Empowering Sketches with Machine Learning for Network Measurements.
    SIGCOMM Workshop on NetAI, 2018. (AR: 12/25=48%)