Biography
I am a third-year PhD student at the Computer Science department of University College London. I am fortunate to be advised by Prof. Ran Ben Basat and Prof. Brad Karp. My research interests are algorithmic design for networked systems, programmable networks, and distributed machine learning systems.
Before joining UCL, I received my B.S. degree (summa cumme laude) in Intelligence Science and Technology from Peking University.
You can download my latest CV here.
Interests
- Algorithmic design for networked systems
- Programmable networks
- Distributed ML systems
Education
PhD in Computer Science, 2022-2027 (expected)
University College London
B.S. in Intelligence Science and Technology, 2018-2022
School of EECS, Peking University
Recent Updates
[9/2024] “Beyond Throughput and Compression Ratios: towards High End-to-end Utility of Gradient Compression” has been accepted to HotNets ‘24.
[7/2024] SQUID accepted at CoNEXT ‘24.
[11/2022] Double-anonymous sketch accepted at SIGMOD ‘23.
[9/2022] Starting my PhD journey at UCL!
[5/2021] Tiara accepted at NSDI ‘22.
[3/2021] Starting research on distributed P4 algorithms, advised by Prof. Ran Ben Basat and Prof. Minlan Yu.
[9/2020] Starting research intern at Bytedance Inc. on data center networking.
[4/2020] Starting research on probabilistic data structure and networking, advised by Prof. Tong Yang.
Publications and Manuscripts
Wenchen Han, Shay Vargaftik, Michael Mitzenmacher, Brad Karp, Ran Ben Basat.
Beyond Throughput and Compression Ratios: towards High End-to-end Utility of Gradient Compression.
HotNets 2024.
Ran Ben Basat, Gil Einziger, Wenchen Han, Bilal Tayh.
SQUID: Faster Analytics via Sampled Quantiles Data-structure.
CoNEXT 2024.
Yikai Zhao,* **Wenchen Han***, *Zheng Zhong*,* *Yinda Zhang, Tong Yang, Bin Cui.*
Double-Anonymous Sketch: Achieving Fairness for Finding Global Top-K Frequent Items. [pdf]
**SIGMOD 2023.**
Chaoliang Zeng, Layong Luo, Teng Zhang, Zilong Wang, Luyang Li, Wenchen Han, Nan Chen, Lebing Wan, Lichao Liu, Zhipeng Ding, Xiongfei Geng, Tao Feng, Feng Ning, Kai Chen, Chuanxiong Guo.
Tiara: A Scalable and Efficient Hardware Acceleration Architecture for Stateful Layer-4 Load Balancing. [pdf]
NSDI 2022
Wenchen Han, Vic Feng, Gregory Schwartzman, Yuliang Li, Michael Mitzenmacher, Minlan Yu, Ran Ben Basat.
FRANCIS: Fast Reaction Algorithms for Network Coordination In Switches. [arXiv preprint]
Under submission.
Ran Ben Basat, Keren Censor-Hillel, Yi-Jun Chang, Wenchen Han, Dean Leitersodorf, Gregory, Schwartzman.
Bounded Memory in Distributed Networks.
Under submission.
* indicates equal contributions.
