Poison to Cure: Privacy-preserving Wi-Fi Multi-User Sensing via Data Poisoning
Published in ACM MobiCom, 2025
This study leverages poisoning attacks to protect user privacy. Code
Publications
You can find all my articles on my Google Scholar profile; only a few are listed here.
CCS-Fi: Widening Wi-Fi Sensing Bandwidth via Compressive Channel Sampling
Published in IEEE INFOCOM 2025, 2025
This study theoretically explains the generation of wideband signals using discrete channel samples.
VR-Fi: Positioning and Recognizing Hand Gestures via VR-embedded Wi-Fi Sensing
Published in IEEE Transactions on Mobile Computing, 2025
This study applies channel hopping sensing and nearfield sensing to VR devices.
Data-Driven Optimization Strategy of Microphone Array Configurations in Vehicle Environments
Published in IEEE Transactions on Instrumentation and Measurement, 2024
This study proposes a data-driven optimization strategy for constructing the optimal microphone array configuration in-vehicle environments.
Beamforming Made Malicious: Manipulating Wi-Fi Traffic via Beamforming Feedback Forgery
Published in ACM MobiCom, 2024
The core idea of BeamCraft involves corrupting beamforming decisions by injecting crafted BFIs that feed an access point (AP) with erroneous information on channel states. Code
Efficient Beamforming Feedback Information-Based Wi-Fi Sensing by Feature Selection
Published in IEEE Wireless Communications Letters, 2024
In this letter, we first derive a mathematical model of BFI, characterizing its relationship with CSI explicitly, and then develop a closed-form expression of BFI for 2×2 MIMO systems. To enhance the efficiency of BFI-based sensing by selecting only the most informative features, we quantify the sensing capacity of BFI using the Cramer-Rao bound (CRB) and then propose an efficient CRB-based BFI feature selection algorithm.
UWB-Fi Pushing Wi-Fi towards Ultra-wideband for Fine-Granularity Sensing
Published in ACM MobiSys, 2024
We propose UWB-Fi as a novel Wi-Fi sensing system with ultra-wide bandwidth, leveraging only discrete and irregular channel sampling. Code
Rotating Machinery Faults Detection Method Based on Deep Echo State Network
Published in Applied Soft Computing, 2022
This paper aims to develop an accurate and efficient end-to-end fault detection model trained by small-scale data for the rotating machinery.
An Echo State Network With Improved Topology for Time Series Prediction
Published in IEEE Sensors Journal, 2022
An echo state network with improved topology (IESN) is proposed for accurate and efficient time series prediction.
Knock Detection Based on the Optimized Variational Mode Decomposition
Published in SAE Technical Paper, 2020
This paper proposed a novel approach for detecting multiple engine faults based on block vibration signals using variational mode decomposition (VMD) and echo state network (ESN).
Knock Detection Based on the Optimized Variational Mode Decomposition
Published in Measurement, 2019
Combined with recursive model and energy difference tracking method, the optimized VMD can decompose signals into several modes based on stop criterion instead of artificial values set in advance.