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!
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Selected Publications
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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.
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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
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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.
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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
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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.
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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
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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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