Xuyu Wang

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Brief Biography

Dr. Xuyu Wang is an Assistant Professor in the Knight Foundation School of Computing and Information Sciences at Florida International University. Before joining FIU, he was an Assistant Professor in the Department of Computer Science at California State University, Sacramento. He received his Ph.D. from the Department of Electrical and Computer Engineering at Auburn University in 2018. His research interests include wireless sensing, Internet of Things, wireless localization, smart health, wireless networks, and deep learning. He received the NSF CRII Award in 2021. He was a co-recipient of the Second Prize of the Natural Scientific Award of the Ministry of Education, China, in 2013, the IEEE INFOCOM 2022 Best Demo Award, the IEEE ICC 2022 Best Paper Award, the IEEE Vehicular Technology Society 2020 Jack Neubauer Memorial Award, the IEEE GLOBECOM 2019 Best Paper Award, the IEEE ComSoc MMTC Best Journal Paper Award in 2018, the IEEE PIMRC 2017 Best Student Paper Award, and the IEEE SECON 2017 Best Demo Award. He was invited to organize AI health tutorials at CVPR 2020, ICC 2022, and CVPR 2022, a special session at IEEE BHI 2021, and give a keynote speech at CVPM 2020. He is an editor of Elsevier Book titled "Contactless Vital Signs Monitoring". He is also an associate editor of Elsevier Digital Communications and Networks, and a guest editor of ACM Transactions on Sensor Networks.

RA Positions Available (Starting Spring 2023)

I am looking for highly self-motivated graduate students who are interested in (i)deep learning for wireless sensing systems (e.g., contactless health monitoring, wireless localization, human-computer interaction, robotics), (ii)deep learning for next-generation wireless spectrum and communcation systems with SDR devices (e.g., USRP), FPGA, and PCB hardware, (iii)IoT and AI security, and (iv)quantum machine learning for IoT sensing and communications in 2023-2028 year and beyond. If you are interested, please send me an email with your CV and transcripts.

News

  • 2022.11   I am invited to serve as a co-chair of IEEE INFOCOM 2023 Workshop on Deep Learning for Wireless Communications, Sensing, and Security (DeepWireless), New York Area, May 2023. Please consider submitting your papers.

  • 2022.10   I am invited to serve as a TPC for IEEE ICC 2023 (Symposia: Cognitive Radio & AI-enabled Networks, and Machine Learning for Communications and Networking). Please consider submitting your papers.

  • 2022.10   I am invited to serve as a judge of Poster/Demo Session for Undergraduates (REU) program in Networking and Systems 2022 in Denver.

  • 2022.10   I am invited to serve as a TPC for Device-free Wireless Sensing Systems Workshop in WoWMoM'23. Please consider submitting your papers.

  • 2022.10   Our RF fingerprinting poster titled “Poster Abstract: Cross-Domain Adaptation for RF Fingerprinting Using Prototypical Networks,” will appear in Proc. ACM SenSys 2022, Boston, Nov. 2022.

  • 2022.10   I am invited to serve as a Session Chair of IEEE MASS 2022 in Denver. Also, I will present our IEEE MASS paper about WiFi CSI-based water-injected pork detection.

  • 2022.09   I am invited to serve as a Publicity Chair of IEEE/ACM CHASE 2023. Please consider submitting your papers.

  • 2022.08   Our unsupervised federated learning for IoT security paper titled “Deep IoT Monitoring: Filtering IoT Traffic Using Deep Learning,” was accepted in Proceedings of 3rd International Silicon Valley Cybersecurity Conference 2022 (SVCC 2022). I presented this paper virtually.

  • 2022.08   Our NSF Broadening Participation in Computing (BPC) proposal was awarded as the supplement of our CNS Core Medium project ($54,823.00). We will host three workshops at Temple University, Florida International University, and Auburn University in 2023 summer, 2024 summer, and 2025 summer, respectively.

  • 2022.08   Ph.D. student, Tianya Zhao, joined FIU AIoT Lab in Fall 2022. He received his M.S. from Carnegie Mellon University.

  • 2022.07   Our WiFi CSI-based water-injected pork detection paper titled “WiPd: Contactless water-injected pork detection using commodity WiFi devices,” will appear in Proc. IEEE MASS 2022, Denver, CO, Oct. 2022.

  • 2022.06   I am invited to serve as a Guest Editor of ACM Transactions on Sensor Networks, Special Issue on Contact-free Smart Sensing in AIoT. Please consider submitting your papers.

  • 2022.06   I am invited to serve as a Guest Editor of Frontiers in Computer Science, Special Issue on Sensing Technologies in Human Centered Computing. Please consider submitting your papers.

  • 2022.05   Our demo titled "Demo Abstract: Environment-adaptive 3D human pose tracking with RFID" has been selected as an IEEE INFOCOM 2022 Best Demo Award.

  • 2022.05   I am invited to become a panelist of ACM WiseML 2022. The panel discussion is about "Long Term Prospects for Deep Learning Methods in Wireless Security".

  • 2022.05   Our domain-adaptation based contactless HCI paper titled "TARF: Technology-agnostic RF sensing for human activity recognition,” will appear in IEEE Journal of Biomedical and Health Informatics, Special Issue on Cognitive Cyber-Physical Systems with AI based Solutions in Medical Informatics.

  • 2022.05   Our RFID sensing paper for smart farming titled "TagSense: Robust wheat moisture and temperature sensing using a passive RFID tag" has been selected as an IEEE ICC 2022 Best Paper Award. Also, I presented this paper virtually.

  • 2022.04   I am invited to serve as TPC for IEEE MASS 2022 and IEEE GLOBECOM 2022. Please consider submitting your papers.

  • 2022.03   Our microphone array-based indoor localization paper titled “Voice fingerprinting for indoor localization with a single microphone array and deep learning,” will appear in Proc. the Fourth ACM Wireless Security and Machine Learning Workshop (WiseML'22).

  • 2022.03   Our overview paper about 3GPP 5G NR localization standards titled “An overview of 3GPP positioning standards,” will appear in ACM GetMobile, 2022.

  • 2022.02   Our adversarial deep learning for Wi-Fi CSI-based localization paper titled “Adversarial Deep Learning for Indoor Localization,” will appear in IEEE Internet of Things Journal.

  • 2022.02   Two IEEE INFOCOM 2022 demos are accepted. The first demo is about "Demo Abstract: Environment-adaptive 3D human pose tracking with RFID". The second demo is about "Demo Abstract: Technology-agnostic approach to RF based human activity recognition".

  • 2022.01   Two IEEE ICC 2022 papers are accepted. The title of the first paper is "Robust massive MIMO localization using neural ODE in adversarial environments". The title of the second paper is "TagSense: Robust wheat moisture and temperature sensing using a passive RFID tag".

  • 2022.01   Our meta-learning based 3D human pose estimation paper titled "Environment adaptive RFID based 3D human pose tracking with a meta-learning approach,” will appear in IEEE Journal of Radio Frequency Identification, Special Issue on Wireless Motion Capture and Fine-Scale Localization.

  • 2022.01   Our RFID localization paper titled “RFID tag localization with a sparse tag array,” will appear in IEEE Internet of Things Journal, Special Issue on Knowledge and Service Oriented Industrial Internet of Things: Architectures, Challenges and Methodologies.

  • 2022.01   Our WiFi-based wheat moisture sensing paper titled "Wi-Wheat+: Contact-free wheat moisture sensing with commodity WiFi based on entropy" will appear in Elsevier/KeAi Digital Communications and Networks.

  • 2022.01   Our WiFi-based wheat mildew detection paper titled "Contract-free wheat mildew detection using commodity WiFi,” will appear in Elsevier/KeAi International Journal of Cognitive Computing in Engineering.