Zikun Liu 刘子坤

zikunliu [at] illinois [dot] edu

I am a CS Ph.D. Candidate at University of Illinois at Urbana-Champaign (UIUC) advised by Prof. Deepak Vasisht, starting from 2020 Fall.

Prior to UIUC, I obtained my B.E. degree in Electronic Engineering and Information Science, from School of the Gifted Young, University of Sciecne and Technology of China (USTC).

My research involves designing practical and robust AI for real-world networked systems.

My research was awarded Qualcomm Innovation Fellowship'22.

GitHub  /  LinkedIn  /  Twitter  /  Google Scholar

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News
May 2023
Started an internship at Microsoft Research for Summer 2023
Dec 2022
RAFA is accepted to NSDI 2023.
Nov 2022
BatMobility is accepted to Mobicom 2023.
Sep 2022
Awarded Qualcomm Innovation Fellowship 2022!
Selected Publications

Image for NSDI 2023 paper Exploring Practical Vulnerabilities of Machine Learning-based Wireless Systems
Zikun Liu, Changming Xu, Gagandeep Singh, and Deepak Vasisht
USENIX NSDI 2023
code / paper / talk

We demonstrate real-world adversarial attacks on 5G machine learning systems.
Image for NSDI 2023 paper FIRE: Enabling Reciprocity for FDD MIMO Systems
Zikun Liu, Gagandeep Singh, Chenren Xu, Deepak Vasisht
ACM Mobicom 2021
paper / slides / talk

Generative model(VAE)-based wireless channel estimation in real-world
Image for NSDI 2023 paper BatMobility: Flying Without Seeing for Lightweight Unmanned Aerial Vehicles
Emerson Sie, Zikun Liu, and Deepak Vasisht
ACM Mobicom 2023
video / paper / code

Vision neural network + Doppler flow enable robust UAV autonomy in adverse environments lacking visual or geometric features.
Image for NSDI 2023 paper RF-Protect: Privacy against Device-Free Human Tracking
Jayanth Shenoy, Zikun Liu, Bill Tao, Zach Kabelac, and Deepak Vasisht
ACM SIGCOMM 2022
paper / video / code / News

Conditional GAN generates fake human trajectories to protect user location privacy in wireless sensing
Image for NSDI 2023 paper 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

Reinforcement learning-based MAC protocol for inter-node communication scheduling.
Other Publications

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

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