Publications
RF-Protect: Privacy against Device-Free Human Tracking
Jayanth Shenoy, Zikun Liu, Bill Tao, Zach Kabelac, and Deepak Vasisht
ACM SIGCOMM 2022 (To Appear)
FIRE: Enabling Reciprocity for FDD MIMO Systems
Zikun Liu,
Gagandeep Singh, Chenren Xu, Deepak Vasisht
ACM Mobicom 2021
paper /
slides /
talk
One Protocol to Rule Them All: Deep Reinforcement Learning Aided MAC for
Wireless Network-on-Chips
Suraj Jog, Zikun Liu,
Antonio Franques, Vimuth Fernando, Haitham Hassanieh, Sergi Abadal, Josep Torrellas
USENIX NSDI 2021
paper /
slides /
talk
Poster: Millimeter Wave Wireless Network on Chip Using Deep Reinforcement Learning
Suraj Jog, Zikun Liu,
Antonio Franques, Vimuth Fernando, Haitham Hassanieh, Sergi Abadal, Josep Torrellas
SIGCOMM'20 Student Research Competition Winner
ACM SIGCOMM 2020
paper /
poster
Importance-Aware Filter Selection for Convolutional Neural Network Acceleration
Zikun Liu, Zhen Chen, Weiping Li.
2019 IEEE International Conference on Visual Communications and Image Processing (VCIP 2019), Australia.
paper
|
Experience
Peking University (Mar. 2021 - Jul.2021)
Research Intern, mentored by Prof. Chenren Xu
ETH Zürich (Nov. 2020 - Feb.2021)
Academic Guest, mentored by Prof. Martin Vechev
University of Illinois at Urbana-Champaign (Jul. 2019 - Nov. 2019)
Research Intern, advised by Prof. Haitham Hassanieh
University of Science and Technology of China (Nov. 2018 - May. 2019)
Research Assistant, advised by Prof. Weiping Li
University of Florida (June. 2018 - Jul. 2018)
Intern student, Summer deep learning workshop
|
Misc.
I was born and raised in Hefei, China, where I happened to attend my middle school, high school, and undergraduate school.
Swimming fanatic, amateur violinist, entry-level bodybuilder, electronica and remixing fan. |
|