Published in ACM MobiCom, 2025
This study leverages poisoning attacks to protect user privacy. Code
Recommended citation: @inproceedings{hu2024poison, title={{Poison to Cure: Privacy-preserving Wi-Fi Multi-User Sensing via Data Poisoning}}, author={Hu, Jingzhi and Li, Xin and Gan, Jin and Luo, Jun}, booktitle={Proc. of the 31th ACM MobiCom}, pages={}, year={2025} }
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Published in IEEE INFOCOM 2025, 2025
This study theoretically explains the generation of wideband signals using discrete channel samples.
Recommended citation: @inproceedings{li2025ccsfi, title={{CCS-Fi: Widening Wi-Fi Sensing Bandwidth via Compressive Channel Sampling}}, author={Li, Xin and Wang, Hongbo and Hu, Jingzhi and Chen, Zhe and Jiang, Zhiping and Luo, Jun}, booktitle={Proc. of the 44th IEEE INFOCOM}, pages={}, year={2025} }
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Published in IEEE Transactions on Mobile Computing, 2025
This study applies channel hopping sensing and nearfield sensing to VR devices.
Recommended citation: @article{wang2025vr, title={{VR-Fi: Positioning and Recognizing Hand Gestures via VR-embedded Wi-Fi Sensing}}, author={Wang, Hongbo and Li, Xin and Li, Jiachun and Zhu, Haojin and Luo, Jun}, journal={IEEE Transactions on Mobile Computing}, year={2025} }
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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.
Recommended citation: @article{liu2024data, title={{Data-Driven Optimization Strategy of Microphone Array Configurations in Vehicle Environments}}, author={Liu, Lehai and Bi, Fengrong and Lin, Jiewei and Qi, Tongtong and Li, Xin}, journal={IEEE Transactions on Instrumentation and Measurement}, volume={73}, pages={6506310}, year={2024}, publisher={IEEE} }
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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
Recommended citation: @inproceedings{xu2024beamforming, title={{Beamforming Made Malicious: Manipulating Wi-Fi Traffic via Beamforming Feedback Forgery}}, author={Xu, Mingming and He, Yinghui and Li, Xin and Hu, Jingzhi and Chen, Zhe and Xiao, Fu and Luo, Jun}, booktitle={Proc. of the 30th ACM MobiCom}, pages={}, year={2024} }
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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.
Recommended citation: @article{li2024efficient, title={{Efficient Beamforming Feedback Information-Based Wi-Fi Sensing by Feature Selection}}, author={Li, Xin and Hu, Jingzhi and Luo, Jun}, journal={IEEE Wireless Communications Letters}, year={2024}, publisher={IEEE} }
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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
Recommended citation: @inproceedings{li2024uwb, title={UWB-Fi: Pushing Wi-Fi towards Ultra-wideband for Fine-Granularity Sensing}, author={Li, Xin and Wang, Hongbo and Chen, Zhe and Jiang, Zhiping and Luo, Jun}, booktitle={Proc. of the 22nd ACM MobiSys}, pages={42--55}, year={2024} }
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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.
Recommended citation: @article{li2022rotating, title={{Rotating Machinery Faults Detection Method Based on Deep Echo State Network}}, author={Li, Xin and Bi, Fengrong and Zhang, Lipeng and Lin, Jiewei and Bi, Xiaobo and Yang, Xiao}, journal={Applied Soft Computing}, volume={127}, pages={109335}, year={2022}, publisher={Elsevier} }
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Published in IEEE Sensors Journal, 2022
An echo state network with improved topology (IESN) is proposed for accurate and efficient time series prediction.
Recommended citation: @article{li2022echo, title={{An Echo State Network with Improved Topology for Time Series Prediction}}, author={Li, Xin and Bi, Fengrong and Yang, Xiao and Bi, Xiaoyang}, journal={IEEE Sensors Journal}, volume={22}, number={6}, pages={5869--5878}, year={2022}, publisher={IEEE} }
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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).
Recommended citation: @techreport{li2020multiple, title={Multiple Engine Faults Detection Based on Variational Mode Decomposition and Echo State Network}, author={Li, Xin and Bi, Fengrong and Ma, Xiaoqiang and Shen, Pengfei and Cheng, Jiangang}, year={2020}, institution={SAE Technical Paper} }
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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.
Recommended citation: @article{bi2019knock, title={{Knock Detection Based on the Optimized Variational Mode Decomposition}}, author={Bi, Fengrong and Li, Xin and Liu, Chunchao and Tian, Congfeng and Ma, Teng and Yang, Xiao}, journal={Measurement}, volume={140}, pages={1--13}, year={2019}, publisher={Elsevier} }
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