Yang Zhou


Ph.D. student @ Harvard University.


SEC 4.429, 150 Western Ave, Allston, MA 02134

yangzhou{at}g.harvard.edu OR yanggepkuer15{at}gmail.com (Hangouts)




Bio

yang zhou

I am a fifth-year Ph.D. student @ Harvard University, advised by Prof. Minlan Yu and Prof. James Mickens. I am broadly interested in networked systems. In particular, my work focuses on remote memory, smart NIC security, and network telemetry. My research is supported by a Google PhD Fellowship in System and Networking. I received the M.S. in Computer Science @ Harvard University in 2021. I received the B.S. in Computer Science @ Peking University in 2018, advised by Prof. Tong Yang, where I researched data stream (or one-pass randomized) algorithms. Google Scholar, CV

News

Publications

2022

  1. Carbink: Fault-Tolerant Far Memory Yang Zhou, Hassan Wassel, Sihang Liu, Jiaqi Gao, James Mickens, Minlan Yu, Chris Kennelly, Paul Turner, David Culler, Hank Levy, Amin Vahdat. OSDI 2022. USENIX Symposium on Operating Systems Design and Implementation.

  2. Evolvable Network Telemetry at Facebook Yang Zhou, Ying Zhang, Minlan Yu, Guangyu Wang, Dexter Cao, Eric Sung and Starsky Wong. NSDI 2022. USENIX Symposium on Networked Systems Design and Implementation.

  3. On the Evolutionary of Bloom Filter False Positives - An Information Theoretical Approach to Optimizing Bloom Filter Parameters Zhuochen Fan, Gang Wen, Zhipeng Huang, Yang Zhou, Qiaobin Fu, Tong Yang, Alex X. Liu, Bin Cui. IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022.

2021

  1. Pyramid Family: Generic Frameworks for Accurate and Fast Flow Size Measurement Yuanpeng Li, Xiang Yu, Yilong Yang, Yang Zhou, Tong Yang, Zhuo Ma, Shigang Chen. IEEE/ACM Trasactions on Networking (TON) 2021.

2019

  1. Adaptive Measurements using One Elastic Sketch. Tong Yang, Jie Jiang, Peng Liu, Qun Huang, Junzhi Gong, Yang Zhou, Rui Miao, Xiaoming Li, Steve Uhlig. IEEE/ACM Trasactions on Networking (TON) 2019.

  2. Fast and Accurate Stream Processing by Filtering the Cold. Tong Yang, Jie Jiang, Yang Zhou, Long He, Jinyang Li, Bin Cui, Steve Uhlig, Xiaoming Li. VLDB Journal 2019.

2018

  1. Elastic Sketch: Adaptive and Fast Network-wide Measurements. Tong Yang, Jie Jiang, Peng Liu, Qun Huang, Junzhi Gong, Yang Zhou, Rui Miao, Xiaoming Li, Steve Uhlig. SIGCOMM 2018. ACM SIGCOMM International Conference on Data Communications.
  2. Cold Filter: A Meta-Framework for Faster and More Accurate Stream Processing. Yang Zhou, Tong Yang, Jie Jiang, Bin Cui, Minlan Yu, Xiaoming Li, and Steve Uhlig. SIGMOD 2018. ACM SIGMOD International Conference on Management of Data.
  3. Accelerating Network Measurement in Software. Yang Zhou, Omid Alipourfard, Minlan Yu, and Tong Yang. SIGCOMM CCR July issue, ACM SIGCOMM Computer Communication Review.
  4. Accurate Per-Flow Measurement with Bloom Sketch. Yang Zhou, Hao Jin, Peng Liu, Haowei Zhang, Tong Yang, Xiaoming Li. INFOCOM 2018 (poster). IEEE International Conference on Computer Communications.
  5. A Comparison of Performance and Accuracy of Measurement Algorithms in Software. Omid Alipourfard, Masoud Moshref, Yang Zhou, Tong Yang, and Minlan Yu. SOSR 2018. ACM Symposium on SDN Research.
  6. Single Hash: Use One Hash Function to Build Faster Hash Based Data Structures. Xiangyang Gou, Chenxingyu Zhao, Tong Yang, Lei Zou, Yang Zhou, Yibo Yan, Xiaoming Li, and Bin Cui. BigComp 2018. IEEE International Conference on Big Data and Smart Computing.

2017

  1. Pyramid Sketch: a Sketch Framework for Frequency Estimation of Data Streams. Tong Yang, Yang Zhou, Hao Jin, Shigang Chen, and Xiaoming Li. VLDB 2017. International Conference on Very Large Data Bases.
  2. One Memory Access Sketch: a More Accurate and Faster Sketch for Per-flow Measurement. Yang Zhou, Peng Liu, Hao Jin, Tong Yang, Shoujiang Dang, and Xiaoming Li. Globecom 2017. IEEE Global Communications Conference.
  3. ABC: a Practicable Sketch Framework for Non-uniform Multisets. Junzhi Gong, Tong Yang, Yang Zhou, Dongsheng Yang, Shigang Chen, Bin Cui, and Xiaoming Li. BigData 2017. IEEE International Conference on Big Data.

Highlighted Projects

Miscellaneous