Scholar
Wenchen Han
Google Scholar ID: qxfuzagAAAAJ
University College London
Citations & Impact
Citations
137
H-index
4
i10-index
2
Publications
10
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- "Beyond Throughput and Compression Ratios: towards High End-to-end Utility of Gradient Compression" accepted to HotNets ‘24; SQUID accepted at CoNEXT ‘24; "Double-Anonymous Sketch: Achieving Fairness for Finding Global Top-K Frequent Items" accepted at SIGMOD 2023; "Tiara: A Scalable and Efficient Hardware Acceleration Architecture for Stateful Layer-4 Load Balancing" accepted at NSDI 2022; several other papers under review or published.
Research Experience
- Since September 2024, “Beyond Throughput and Compression Ratios: towards High End-to-end Utility of Gradient Compression” accepted to HotNets ‘24; Since July 2024, SQUID accepted at CoNEXT ‘24; Since November 2022, Double-anonymous sketch accepted at SIGMOD ‘23; Started PhD journey at UCL in September 2022; Since May 2021, Tiara accepted at NSDI ‘22; Since March 2021, started research on distributed P4 algorithms, advised by Prof. Ran Ben Basat and Prof. Minlan Yu; Since September 2020, started research intern at Bytedance Inc. on data center networking; Since April 2020, started research on probabilistic data structure and networking, advised by Prof. Tong Yang.
Education
- PhD in Computer Science, 2022-2026 (expected), University College London; B.S. in Intelligence Science and Technology, 2018-2022, School of EECS, Peking University.
Background
- Research interests: Algorithmic designs for programmable networks, compression algorithms for accelerating LLM training and inference. Biography: Currently a third-year PhD candidate at the Computer Science department of University College London.
Miscellany
- Contact: wenchen.han.22@ucl.ac.uk
Co-authors