Xuyu Wang

Assistant Professor Knight Foundation School of Computing and Information Sciences Florida International University Contact Information Email: xuywang@fiu.edu Office: CASE 388 Mailing Address: 11200 SW 8th Street, CASE 388, Miami, FL 33199, USA Personal Webpage Google Scholar : Citation = 8393, H-index=37

Tenure and Promotion Materials

To download the biographical summary, curriculum vitae, and candidate statement in a single file, click here.

1. Curriculum Vitae

2. Candidate Statement

3. Biographical Summary

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, trustworthy AI, generative AI, Internet of Things, smart health, wireless localization, wireless networks, quantum machine learning, and IoT security. He received the NSF CRII Award in 2021. He was a co-recipient of the IEEE ICNC 2026 Best Paper Award, the ACM FAcct 2023 Best Paper Award, the 2022 Best Journal Paper Award of IEEE ComSoc eHealth Technical Committee, 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 also selected in the 2020-2025 Stanford's list of World Top 2% scientists.

Dr. Xuyu Wang was invited to organize AI health tutorials at CVPR 2020, ICC 2022, CVPR 2022-2025, 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 IEEE Transactions on Mobile Computing, and a guest editor of ACM Transactions on Sensor Networks. He is also a co-chair of IEEE INFOCOM 2023-2026 Workshop on Deep Learning for Wireless Communications, Sensing, and Security (DeepWireless), a TPC co-chair of IEEE ICC/GLOBECOM 2024-2026 Workshop on Machine Learning and Deep Learning for Wireless Security, a symposium co-chair of AI and Machine Learning for Communications and Networking (AMCN) in ICNC 2025-2026, a tutorials co-chair of IEEE CCNC 2024, a workshop co-chair of IEEE Healthcom 2024, a demo/posters co-chair of IEEE Healthcom 2026, a publicity co-chair of IEEE/ACM CHASE 2023, an EDAS and Publications Co-chair of IEEE MILCOM 2025, a co-chair of IEEE/ACM CHASE 2025 Workshop on Generative AI for Smart and Connected Health: Innovations, Challenges, and Applications, and a co-chair of IEEE/ACM CHASE 2026 Workshop on Generative AI for Smart Health and Biomedical Informatics.

4. Research Activities: Representative Publications at FIU

The asterisk (*) marks an FIU student advised by me.

• Tianya Zhao*, Junqing Zhang, Jun Dai, Xiaoyan Sun, and Xuyu Wang^†, “Unveiling the Threat: Data-Free Backdoor Attacks on Pre-Trained Models for RF Fingerprinting,” IEEE Transactions on Mobile Computing, vol. 25, no. 4, pp. 5421–5433, April 2026. (^† means corresponding author)
• Jingzhou Shen*, Tianya Zhao*, and Xuyu Wang^†, “A Geometric Algebra-Informed 3DGS Framework for Wireless Channel Prediction,” in Proceedings of IEEE/CVF CVPR 2026, Denver, CO, June 2026. (Acceptance rate: 25.4%) (^† means corresponding author)
• Haowen Xu, Tianya Zhao*, Xuyu Wang, Lei Ma, Jun Dai, Alexander Wyglinski, and Xiaoyan Sun, “EMPalm: Exfiltrating Palm Biometric Data via Electromagnetic Side-Channel,” in Proceedings of ACM SenSys 2026, Saint-Malo, France, May 2026. (Acceptance rate: 52/263 = 19.8%)
• Tianya Zhao*, Ningning Wang*, and Xuyu Wang^†, “Membership Inference Against Self-supervised IMU Sensing Applications,” in Proceedings of ACM SenSys 2025, Irvine, CA, May 2025. (Acceptance rate: 46/245 = 18.8%) (^† means corresponding author)
• Tianya Zhao*, Ningning Wang*, Junqing Zhang, and Xuyu Wang^†, “Protocol-agnostic and Data-free Backdoor Attacks on Pre-trained Models in RF Fingerprinting,” in Proceedings of IEEE INFOCOM 2025, London, UK, May 2025. (Acceptance rate: 272/1458 = 18.7%) (^† means corresponding author)

5. All Publications

6. Funded and Recommended Research Grants

(5 NSF-funded projects totaling $4.4M; my share of PI funding is $1.31M. My NSF CAREER proposal is currently being considered by the NSF Program Director for a funding recommendation.)

• $600,000: Collaborative Research: NSF-MeitY: CNS Core: Small: Learning-Assisted Integrated Sensing, Communication and Security for 6G UAV Networks. Source of Support: NSF. Xuyu Wang (PI). Awarded. Start Date: 10/01/2024. My share: $300,000.
• $600,000: Collaborative Research: IMR: MM-IA: Functional Data Analysis-aided Learning Methods for Robust Wireless Measurements. Source of Support: NSF. Xuyu Wang (PI). Awarded. Start Date: 10/01/2023. My share: $200,000.
• $1,200,000: Collaborative Research: SCH: AI-driven RFID Sensing for Smart Health Applications. Source of Support: NSF. Xuyu Wang (PI). Awarded. Start Date: 08/15/2023. My share: $300,000.
• $240,000: Collaborative Research: BPC Supplement: Data Augmentation and Adaptive Learning for Next Generation Wireless Spectrum Systems. Source of Support: NSF. Xuyu Wang (PI). Awarded. Start Date: 10/01/2022. My share: $54,823.
• $1,200,000: Collaborative Research: CNS Core: Medium: Data Augmentation and Adaptive Learning for Next Generation Wireless Spectrum Systems. Source of Support: NSF. Xuyu Wang (PI). Awarded. Start Date: 10/01/2021. My share: $279,946.
• $174,999: CRII: CNS: RUI: Exploiting Robust Deep Learning Framework for Wireless Localization Systems in Adversarial IoT Environments. Source of Support: NSF. Xuyu Wang (PI). Awarded. Start Date: 07/01/2021. My share: $174,999.
• $405,000: NSF REU Site: ASSET: Advanced Secured Sensor Enabling Technologies. Source of Support: NSF. Xuyu Wang (Senior Personnel). Awarded. Start Date: 03/01/2023.
• $553,008: CAREER: Enabling Generative, Robust, and Interpretable Wireless Intelligence for RF Spectrum Foundations and Applications. Source of Support: NSF. Xuyu Wang (PI). Submitted. Proposed Start Date: 07/01/2026. My share: $553,008. As of April 6, 2026, This NSF CAREER proposal is currently being considered by the NSF Program Director for a funding recommendation.

7. Teaching: Courses Taught at FIU

• CAP 6619: Advanced Topics in Machine Learning (Generative AI and Trustworthy AI) — Spring 2025, Spring 2026, FIU
• TCN 6270: Mobile and Wireless Networks (AI for Wireless, Mobile, and IoT Systems) — Fall 2022, Spring 2024, Fall 2024, Spring 2025, FIU
• TCN 5010: Telecommunications Technology and Applications — Spring 2023, Spring 2026, FIU
• CNT 4513: Data Communications — Spring 2024, FIU

8. Student Mentoring at FIU

Ph.D. Students

• Tianya Zhao (3 x IEEE INFOCOM, 1 x ACM SenSys, and 2 x IEEE TMC (first author),— M.S., Carnegie Mellon University; joined in Fall 2022. Tianya will graduate in Summer 2026.
• Jingzhou Shen (1 x INFOCOM, 1 x CVPR (first author)— M.S., George Washington University; joined in Fall 2024
• Yiting Wang — M.S., University of Southern California; joined in Spring 2025
• Chuan Liu — M.S., Virginia Tech; joined in Summer 2026

Ph.D. Committee Member

• Duy Nguyen
• Daniel Correa
• Aitian Ma
• Haopeng Jin
• Zhuomin Chen
• Xu Zheng

M.S. Students

• Luis Lago Enamorado — FIU; joined in Spring 2025
• Rohan Kumar — FIU; joined in Fall 2024

Research Experience for Undergraduates (REU)

• Jason Jiang — FIU; from Summer 2024 to Spring 2025
• Jacob Van — FIU; from Fall 2024 to Summer 2025
• Ben Abraham — Kean University; Summer 2023
• Yanelli Gloria — University of California, Santa Cruz; Spring 2024

K–12 Students

• Bolin Xiang — Bridgeland High School, USA; Summer 2025. She will begin her undergraduate studies at Carnegie Mellon University in Fall 2026.

Last updated: April 7, 2026