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Books

  1. Contactless Vital Signs Monitoring, Wenjin Wang and Xuyu Wang (editors), Amsterdam, Netherlands: Elsevier, Nov. 2021. [Book Link]. This is the first book to systematically introduce different contactless and wireless sensing technologies (e.g. camera, radar, Wi-Fi, acoustics, RFID, etc.) for vital signs monitoring and healthcare applications!

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Book Chapters

  1. Tianya Zhao, Xuyu Wang, Shiwen Mao, Slobodan Vucetic, Jie Wu, “Adversarial deep learning for indoor localization”, Chapter 8 in Network Security Empowered by Artificial Intelligence, Yingying Chen, Jie Wu, Paul L. Yu, and Cliff Wang (editors), Springer, 2024.

  2. Xuyu Wang, and Dangdang Shao, “Human Physiology and Contactless Vital Sign Monitoring Using Camera and Wireless Signals,” Chapter 1 in Contactless Vital Signs Monitoring, Wenjin Wang and Xuyu Wang (editors), Amsterdam, Netherlands: Elsevier, Nov. 2021.

  3. Xuyu Wang, and Shiwen Mao, “Acoustic-based Vital Sign Monitoring,” Chapter 13 in Contactless Vital Signs Monitoring, Wenjin Wang and Xuyu Wang (editors), Amsterdam, Netherlands: Elsevier, Nov. 2021.

  4. Chao Yang, Xuyu Wang, and Shiwen Mao, “RFID based unsupervised apnea detection,” Chapter 2 in Intelligent IoT Systems in Personalized Health Care, A.K. Sangaiah and S.C. Mukhopadhyay (editors), Amsterdam, Netherlands: Elsevier, 2020.

  5. Xuyu Wang and Shiwen Mao, “Deep learning for indoor localization based on bi-modal CSI data,” Chapter 10 in Application of Machine Learning in Wireless Communications, pp.343-369, R. He and Z. Ding (editors). London, UK: The Institution of Engineering and Technology (IET), 2019.

  6. Xuyu Wang, Chao Yang, and Shiwen Mao, “Sleeping monitoring using WiFI signal,” Chapter XXX in Encyclopedia of Wireless Networks, pp.XXX-XXX, S. Shen, X. Lin and K. Zhang (editors). Cham, Switzerland: Springer, 2019.

Journal & Magazine Publications

  1. Yujie Sun, Xuyu Wang, Guanqun Cao, and Shiwen Mao, “FDALLM+: A functional data analysis-driven Large Language Model framework for network traffic prediction,” IEEE Internet of Things Journal, to appear. DOI: 10.1109/JIOT.2025.3604332.

  2. Tianya Zhao, Junqing Zhang, Shiwen Mao, and Xuyu Wang*, “Explanation-guided backdoor attacks against model-agnostic RF fingerprinting systems,” IEEE Transactions on Mobile Computing, vol.24, no.3, pp.2029-2042, Mar. 2025. (*means the corresponding author)

  3. Shuli Zhu, Lingkun Li, Xuyu Wang, Qiang Ni, Yuqin Jiang, Hui Gao, Zhaobing Han, and Ruipeng Gao, “Large-Scale Indoor Localization via Outdoor Crowdsourcing Trajectories on Ride-Hailing Platform,” in ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 9, No. 2, pp 1–23, June 2025.

  4. Guolin Yin, Junqing Zhang, Xinping Yi, and Xuyu Wang. "Evasion Attacks and Countermeasures in Deep Learning-Based Wi-Fi Gesture Recognition." IEEE Transactions on Mobile Computing, vol.24, no.9, pp.8180-8195, April 2025.

  5. Peng Liao, Xuyu Wang, Yingxin Shan, Lingling An, and Shiwen Mao. "Wireless Sensing in Artificial Intelligence of Things: A General Quantum Machine Learning Framework." IEEE Network, vol.39, no.3, pp 207-214, Jan. 2025.

  6. Yanhui Ren, Di Wang, Lingling An, Shiwen Mao, and Xuyu Wang, “Quantum contrastive learning for human activity recognition,” Elsevier Smart Health (2025): 100574.

  7. Merih Deniz Toruner, Victoria Shi, John Sollee, Wen-Chi Hsu, Guangdi Yu, Yu-wei Dai, Christian Merlo, Karthik Suresh, Zhicheng Jiao, Xuyu Wang, Shiwen Mao, and Harrison Bai, “Artificial intelligence driven wireless sensing for health management,” MDPI Bioengineering Journal, vol.12, no.3, pp.244:1-17, Feb. 2025.

  8. Guanxiong Shen, Junqing Zhang, Xuyu Wang, and Shiwen Mao. "Federated Radio Frequency Fingerprint Identification Powered by Unsupervised Contrastive Learning." IEEE Transactions on Information Forensics & Security, vol.19, pp.9204-9215, Sept. 2024.

  9. Kaiyuan Ma, Youpeng Li, Lingling An, Bo Wan, and Xuyu Wang*, “SARS: A Personalized Federated Learning Framework Towards Fairness and Robustness against Backdoor Attacks,” in ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 4, No. 4, pp 1–24, Nov. 2024. (*means the corresponding author)

  10. Ruipeng Gao, Shuli Zhu, Lingkun Li, Xuyu Wang, Yuqin Jiang, Naiqiang Tan, Hua Chai, Peng Qi, Jiqiang Liu, and Dan Tao. "Real-world Large-scale Cellular Localization for Pickup Position Recommendation at Black-hole." IEEE Transactions on Mobile Computing, vol.23, no.12, pp. 15114 - 15131, Dec. 2024.

  11. Jing Hou, Xuyu Wang, and Amy Z. Zeng. "Inter-Temporal Reward Strategies in the Presence of Strategic Ethical Hackers." IEEE/ACM Transactions on Networking, vol.32, no.5, pp. 4427 - 4440, Oct. 2024.

  12. Youpeng Li, Xuyu Wang*, Lingling An*, “Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition,” in ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol. 7, No. 1, pp 1–38, Article 20, March 2023. (*means the corresponding author)

  13. Peng Liao, Xuyu Wang*, Lingling An, Shiwen Mao, Tianya Zhao, and Chao Yang, “TFSemantic: A time-frequency semantic GAN framework for imbalanced classification using radio signals,” in ACM Transactions on Sensor Networks, Special Issue on Contact-free Smart Sensing in AIoT, Vol. 20, No. 4, pp 1–22, Article 20, May 2024. (*means the corresponding author)

  14. Erbo Shen, Weidong Yang, Xuyu Wang, Bo Kang, and Shiwen Mao. "TagSense: Robust Wheat Moisture and Temperature Sensing Using RFID." IEEE Journal of Radio Frequency Identification (2024).

  15. Kaiyuan Ma, Shunan Song, Lingling An, Shiwen Mao, and Xuyu Wang. "APC: Contactless healthy sitting posture monitoring with microphone array." Elsevier Smart Health 32 (2024): 100463.

  16. Azhar Chara, Tianya Zhao, Xuyu Wang, and Shiwen Mao, “Respiratory biofeedback using acoustic sensing with smartphones,” Elsevier Smart Health Journal, vol. 28, pp.100387, June 2023. DOI: 10.1016/j.smhl.2023.100387.

  17. Chao Yang, Xuyu Wang, Shiwen Mao, “TARF: Technology-agnostic RF sensing for human activity recognition,” IEEE Journal of Biomedical and Health Informatics, Special Issue on Cognitive Cyber-Physical Systems with AI based Solutions in Medical Informatics, vol.27, no.2, pp.636--647, Feb. 2023.

  18. Chao Yang, Shiwen Mao, Xuyu Wang, “An overview of 3GPP positioning standards,” ACM GetMobile, vol.26, no.1, pp.9-13, Mar. 2022.

  19. Xiangyu Wang*, Xuyu Wang*, Shiwen Mao, Jian Zhang, Senthilkumar CG Periaswamy, and Justin Patton, “Adversarial deep learning for indoor localization,” IEEE Internet of Things Journal, vol.9, no.19, pp.18182--18194, Oct. 2022. (*means co-first authors)

  20. Chao Yang, Xuyu Wang, and Shiwen Mao, “RFID tag localization with a sparse tag array,” IEEE Internet of Things Journal, Special Issue on Knowledge and Service Oriented Industrial Internet of Things: Architectures, Challenges and Methodologies, vol.9, no.18, pp.16976-16989, Sept. 2022.

  21. Chao Yang, Lingxiao Wang, Xuyu Wang, and Shiwen Mao, “Environment adaptive RFID based 3D human pose tracking with a meta-learning approach,” IEEE Journal of Radio Frequency Identification, Special Issue on Wireless Motion Capture and Fine-Scale Localization, vol.6, no.1, pp.413-425, Jan. 2022.

  22. Chao Yang, Xuyu Wang, and Shiwen Mao, “RFID based 3D human pose tracking: A subject generalization approach,” Elsevier/KeAi Digital Communications and Networks, Special Issue on Edge computation and intelligence, vol.8, no.3, pp.278-288, Aug. 2022.

  23. Pengming Hu, Weidong Yang, Xuyu Wang, Shiwen Mao, “Contract-free wheat mildew detection using commodity WiFi,” Elsevier/KeAi International Journal of Cognitive Computing in Engineering, vol.3, no.1, pp.9-23, June 2022.

  24. Weidong Yang, Erbo Shen, Xuyu Wang, Shiwen Mao, Yuehong Gong, and Pengming Hu, “Wi-Wheat+: Contact-free wheat moisture sensing with commodity WiFi based on entropy,” Elsevier/KeAi Digital Communications and Networks, Special Issue on Edge computation and intelligence, vol.9, no.3, pp.698-709, 2023.

  25. Shanshan Duan, Weidong Yang, Xuyu Wang, Shiwen Mao, and Yuan Zhang, “Temperature forecasting for stored grain: A deep spatio-temporal attention approach,” IEEE Internet of Things Journal, vol.8, no.23, pp.17147-17160, Dec. 2021.

  26. Xuyu Wang, Runze Huang, Chao Yang, and Shiwen Mao, “Smartphone sonar based contact-free respiration rate monitoring,” ACM Transactions on Computing for Healthcare (HEALTH), vol.2, no.2, Article 15, Mar. 2021.

  27. Chao Yang, Xuyu Wang, and Shiwen Mao, “RFID-Pose: Vision-aided 3D human pose estimation with RFID,” IEEE Transactions on Reliability, vol.70, no.3, pp.1218-1231, Sept. 2021.

  28. Xiangyu Wang, Xuyu Wang, and Shiwen Mao, “Indoor fingerprinting with bimodal CSI tensors: A deep residual sharing learning approach,” IEEE Internet of Things Journal, vol.8, no.6, pp.4498-4513, Mar. 2021.

  29. Xiangyu Wang, Xuyu Wang, Shiwen Mao, Jian Zhang, Senthilkumar CG Periaswamy, and Justin Patton, “Indoor radio map construction and localization with deep Gaussian Processes,” IEEE Internet of Things Journal, vol.7, no.11, pp. 11238-11249, Nov. 2020. (Web of Science ESI Highly Cited Paper)

  30. Chao Yang, Xuyu Wang, and Shiwen Mao, “Unsupervised drowsy driving detection with RFID,” IEEE Transactions on Vehicular Technology, vol.69, no.8, pp. 8151-8163, Aug. 2020.

  31. Xuyu Wang, Chao Yang, and Shiwen Mao, “Resilient respiration rate monitoring with realtime bimodal CSI data,” IEEE Sensors Journal, vol.20, no.17, pp.10187-10198, Sept. 2020.

  32. Chao Yang, Xuyu Wang, and Shiwen Mao, “Respiration monitoring with RFID in driving environments,” IEEE Journal on Selected Areas in Communications, Special Issue on Internet of Things for In-Home Health Monitoring, vol.39, no.2, pp.500-512, Feb. 2021. (The 2022 Best Journal Paper Award of IEEE ComSoc eHealth Technical Committee)

  33. Xuyu Wang, Chao Yang, and Shiwen Mao, “On CSI-based vital sign monitoring using commodity WiFi,” ACM Transactions on Computing for Healthcare (HEALTH), vol.1, no.3, pp.12:1-12:27, Apr. 2020.

  34. Shanshan Duan, Weidong Yang, Xuyu Wang, Shiwen Mao, and Yuan Zhang, “Forecasting of grain pile temperature from meteorological factors using machine learning,” IEEE Access Journal, Special Section on New Technologies for Smart Farming 4.0: Research Challenges and Opportunities, vol.7, no.1, pp.130721-130733, Dec. 2019.

  35. Jian Zhang, Xiangyu Wang, Zhitao Yu, Yibo Lyu, Shiwen Mao, Senthilkumar CG Periaswamy, Justin Patton, and Xuyu Wang, “Robust RFID based 6-DoF localization for unmanned aerial vehicles,” IEEE Access Journal, Special Section on Network Resource Management in Flying Ad Hoc Net-works: Challenges, Potentials, Future Applications, and Wayforward, vol.7, no.1, pp. 77348-77361, June 2019.

  36. Xuyu Wang, Zhitao Yu, and Shiwen Mao, “Indoor localization using magnetic and light sensors with smartphones: A deep LSTM approach,” Springer Mobile Networks and Applications (MONET) Journal, Special Issue on Towards Future Ad Hoc Networks: Technologies and Applications, vol.25, no.2, pp.819-832, Apr. 2020.

  37. Chao Yang, Xuyu Wang, and Shiwen Mao, “Unsupervised detection of apnea using commodity RFID tags with a recurrent variational autoencoder,” IEEE Access Journal, Special Section on Advanced Information Sensing and Learning Technologies for Data-centric Smart Health Applications, vol.7, no.1, pp.67526-67538, June 2019.

  38. Jian Zhang, Zhitao Yu, Xiangyu Wang, Yibo Lyu, Shiwen Mao, Senthilkumar CG Periaswamy, Justin Patton, and Xuyu Wang, “RFHUI: An RFID based human-unmanned aerial vehicle interaction system in an indoor environment,” Elsevier Digital Communications and Networks Journal, vol.6, no.1, pp.14-22, Feb. 2020. DOI: 10.1016/j.dcan.2019.05.001. (included in DCN's High-influence Article Collection, Nov. 2020)

  39. Xuyu Wang, Xiangyu Wang, and Shiwen Mao, “Deep convolutional neural networks for indoor localization with CSI images,” IEEE Transactions on Network Science and Engineering, Special Issue on Network Science for Internet of Things (IoT), vol.7, no.1, pp.316-327, Jan./Mar. 2020. DOI: 10.1109/TNSE.2018.2871165. (No. 2/3/4 in Popular Documents: Oct. 2018 ~ June 2020) (Web of Science ESI Highly Cited Paper)

  40. Xuyu Wang, Xiangyu Wang, and Shiwen Mao, “RF sensing for Internet of Things: A general deep learning framework,” IEEE Communications Magazine, Feature Topic on Exploring Caching, Communications, Computing and Security for the Emerging Smart Internet of Things, vol.56, no.9, pp.62-67, Sept. 2018.

  41. Xuyu Wang, Shiwen Mao, and Michelle X. Gong, “An overview of 3GPP cellular vehicle-to-everything standards,” ACM GetMobile: Mobile Computing and Communications Review, vol.21, no.3, pp.19-25, Sept. 2017. DOI: 10.1145/3161587.3161593. (Sample Articles of ACM Getmobile)

  42. Xuyu Wang, Lingjun Gao, and Shiwen Mao, “BiLoc: Bi-modality deep learning for indoor localization with 5GHz commodity Wi-Fi,” IEEE Access Journal, Special Section on Cooperative and Intelligent Sensing, vol.5, no.1, pp.4209-4220, Mar. 2017.

  43. Xuyu Wang, Chao Yang, and Shiwen Mao, “TensorBeat: Tensor decomposition for monitoring multi-person breathing beats with commodity WiFi,” ACM Transactions on Intelligent Systems and Technology, Special Issue on Data-driven Intelligence for Wireless Networking, vol.9, no.1, Article 8, pp.8:1-8:27, Sept. 2017.

  44. Xuyu Wang, Shiwen Mao, and Michelle X. Gong, “A survey of LTE Wi-Fi coexistence in unlicensed bands,” ACM GetMobile: Mobile Computing and Communications Review, vol.20, no.3, pp.17-23, July 2016.

  45. Xuyu Wang, Lingjun Gao, and Shiwen Mao, “CSI phase fingerprinting for indoor localization with a deep learning approach,” IEEE Internet of Things Journal, vol.3, no.6, pp.1113-1123, Dec. 2016. DOI: 10.1109/JIOT.2016.2558659. (Top 50 most accessed in 2017) (Web of Science ESI Highly Cited Paper)

  46. Xuyu Wang, Lingjun Gao, Shiwen Mao, and Santosh Pandey, “CSI-based fingerprinting for indoor localization: A deep learning approach,” IEEE Transactions on Vehicular Technology, vol.66, no.1, pp.763-776, Jan. 2017. DOI: 10.1109/TVT.2016.2545523. (Top 1/Top 2 Popular Documents, 2017-2019) (featured in MMTC Communications-Review, vol.9, no.6, Dec. 2018) (The IEEE ComSoc Best Readings in Machine Learning in Communications) (The 2018 IEEE ComSoc MMTC Best Journal Paper Award) (Web of Science ESI Highly Cited Paper) (IEEE Vehicular Technology Society 2020 Jack Neubauer Memorial Award)

Conference & Workshop Publications

  1. Tianya Zhao and Xuyu Wang, " Data-Free Backdoor Attacks on Self-Supervised Human Activity Recognition Models," in Proc. IEEE 22nd International Conference on Mobile Ad Hoc and Smart Systems (MASS 2025), Chicago, IL, Oct. 2025.

  2. Jingzhou Shen and Xuyu Wang, “An Efficient and Explainable KAN Framework for Wireless Radiation Field Prediction,” in Proc. IEEE 22nd International Conference on Mobile Ad Hoc and Smart Systems (MASS 2025), Chicago, IL, Oct. 2025.

  3. Ningning Wang, Yiting Wang, Tianya Zhao, Yuwei Dai, Harrison Bai, Karthik Suresh, Zhicheng Jiao, Shiwen Mao, and Xuyu Wang, " RFID-Based Vital Sign Monitoring Under Motion Using Physics-Informed Generative Models," in Proc. IEEE 22nd International Conference on Mobile Ad Hoc and Smart Systems (MASS 2025), Chicago, IL, Oct. 2025.

  4. Tianya Zhao, Ningning Wang, and Xuyu Wang*, "Membership Inference Against Self-supervised IMU Sensing Applications", in Proc. ACM SenSys 2025, Irvine, CA, May 2025. Acceptance rate: 46/245=18.8%. (*means the corresponding author)

  5. Yiting Wang, Tianya Zhao, and Xuyu Wang, “Fine-grained heartbeat waveform monitoring with rfid: A latent diffusion model,” in Proceedings of the 3rd International Workshop on Human-Centered Sensing, Modeling, and Intelligent Systems, pp. 86–91, 2025.

  6. Ningning Wang, Tianya Zhao, Shiwen Mao, and Xuyu Wang*, "Privacy-Preserving Wi-Fi Data Generation via Differential Privacy in Diffusion Models", in Proc. IEEE INFOCOM 2025, London, UK, May 2025. Acceptance rate: 272/1458=18.7%. (*means the corresponding author)

  7. Tianya Zhao, Ningning Wang, Junqing Zhang, and Xuyu Wang*, "Protocol-agnostic and Data-free Backdoor Attacks on Pre-trained Models in RF Fingerprinting", in Proc. IEEE INFOCOM 2025, London, UK, May 2025. Acceptance rate: 272/1458=18.7%. (*means the corresponding author)

  8. Jingzhou Shen, Tianya Zhao, Yanzhao Wu, and Xuyu Wang, “NeRF-APT: A New NeRF Framework for Wireless Channel Prediction” in Proc. IEEE INFOCOM 2025 Workshop.

  9. Yujie Sun, Xuyu Wang, Guangun Cao, and Shiwen Mao, “Functional data analysis-guided prompt design for RFID sensing and localization using LLMs,” in Proc. IEEE GLOBECOM 2025, Taipei, Taiwan, Dec. 2025.

  10. Haowen Xu, Tianya Zhao, Xuyu Wang, Jun Dai, Xiaoyan Sun, “MagWatch: Exposing Privacy Risks in Smartwatches through Electromagnetic Signals ,” in Proc. IEEE ICICS2025-The 2025 International Conference on Information and Communications Security, Oct. 2025.

  11. Shi, Sai, Vahid Mahzoon, Xuyu Wang,, Shiwen Mao, Jie Wu, and Slobodan Vucetic, "Towards a Unified Few-Shot Learning Evaluation Framework for RF Fingerprinting,” in Proc. 34th International Conference on Computer Communications and Networks (ICCCN), pp. 1-9. IEEE, 2025.

  12. Kavya Gopireddy, Yiting Wang, Jingzhou Shen, Jason Jiang, Xuyu Wang, "A Dual-Modality Approach for Contactless Vital Sign Monitoring Using Camera and Wi-Fi CSI,” in 2025 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) Workshop, pp. 470-475. IEEE, 2025.

  13. Jing Hou, Xuyu Wang, and Amy Z. Zeng. "Pricing Strategies in Cybersecurity Markets with Network Effects." In 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC), pp. 1-4. IEEE, 2025.

  14. Yujie Sun, Xuyu Wang, Guanqun Cao, and Shiwen Mao, “FDALLM: Traffic data prediction with functional data analysis and Large Language Models,” in Proc. IEEE ICC 2025, Montreal, Canada, June 2025.

  15. Tianya Zhao, Ningning Wang, Shiwen Mao, and Xuyu Wang, "Few-shot learning and data augmentation for cross-domain UAV fingerprinting," in Proc. ACM MobiCom 2024 Workshop on Machine Learning for NextG Networks (MLNextG24), Washington, D.C., Nov. 2024.

  16. Yanhui Ren, Di Wang, Lingling An, Shiwen Mao, and Xuyu Wang, “Multi-positive sample quantum contrastive learning for human activity recognition,” In Proc. IEEE GLOBECOM 2024, Cape Town, South Africa, Dec. 2024.

  17. Shuai Zhu, Di Wang, Shiwen Mao, and Xuyu Wang, “ContrastMask: A novel perturbation-based method for explaining network intrusion detection,” in Proc. IEEE Healthcom 2024, Nara, Japan, Nov. 2024.

  18. Youpeng Li, Xinda Wang, Fuxun Yu, Lichao Sun, Wenbin Zhang, and Xuyu Wang*, “FedCAP: Robust Federated Learning via Customized Aggregation and Personalization,” in Proc. Annual Computer Security Applications Conference (ACSAC), 2024. Acceptance rate: 83/421=19.7%. (*means the corresponding author)

  19. Ningning Wang, Tianya Zhao, Shiwen Mao, Harrison X. Bai, Zhicheng Jiao, and Xuyu Wang. "ECG-grained Cardiac Monitoring Using RFID." In 2024 33rd International Conference on Computer Communications and Networks (ICCCN), pp. 1-9. IEEE, 2024.

  20. Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao et al. "Position: TrustLLM: Trustworthiness in Large Language Models." In International Conference on Machine Learning (ICML), pp. 20166-20270. PMLR, 2024.

  21. Tianya Zhao, Ningning Wang, Yanzhao Wu, Wenbin Zhang,and Xuyu Wang, "Backdoor Attacks Against Low-Earth Orbit Satellite Fingerprinting," in Proc. IEEE INFOCOM 2024 workshop, Vancouver, Canada, May 2024.

  22. Tianya Zhao, Xuyu Wang*, Junqing Zhang, and Shiwen Mao, "Explanation-Guided Backdoor Attacks on Model-Agnostic RF Fingerprinting," in Proc. IEEE INFOCOM 2024, Vancouver, Canada, May 2024. Acceptance rate: 256/1307=19.6%. (*means the corresponding author)

  23. Tianya Zhao, Xuyu Wang*, and Shiwen Mao, "Cross-domain, Scalable, and Interpretable RF Device Fingerprinting," in Proc. IEEE INFOCOM 2024, Vancouver, Canada, May 2024. Acceptance rate: 256/1307=19.6%. (*means the corresponding author)

  24. Tianya Zhao, Ningning Wang, Guanqun Cao, Shiwen Mao and Xuyu Wang, "Functional Data Analysis Assisted Cross-Domain Wi-Fi Sensing Using Few-Shot Learning" in Proc. IEEE ICC 2024, Denver, CO, June 2024.

  25. Sribala Vidyadhari Chinta, Karen Fernandes, Ningxi Cheng, Jordan Fernandez, Shamim Yazdani, Zhipeng Yin, Zichong Wang, Xuyu Wang, Weifeng Xu, Jun Liu, Chong Siang Yew, Puqing Jiang, Wenbin Zhang, “Optimization and Improvement of Fake News Detection using Voting Technique for Societal Benefit” in Proc. IEEE International Conference on Data Mining Workshops (ICDMW) 2023, Shanghai, China, Dec. 2023.

  26. Zichong Wang, Nripsuta Saxena, Tongjia Yu, Sneha Karki, Tyler Zetty, Israat Haque, Shan Zhou, Dukka Kc, Ian Stockwell, Xuyu Wang, Albert Bifet and Wenbin Zhang, “Preventing Discriminatory Decision-making in Evolving Data Stream,” in Proc. ACM Conference on Fairness, Accountability, and Transparency (FAccT), Chicago, USA, 2023. (The ACM FAcct 2023 Best Paper Award).

  27. Jing Hou, Xuyu Wang, and Amy Z. Zeng, “Inter-temporal Reward Decisions with Strategic Ethical Hackers,” in Proc. IEEE CNS 2023, Orlando, FL, Oct. 2023.

  28. Shuli Zhu, Lingkun Li, Xuyu Wang, Changcheng Liu, Yuqing Jiang, Zengwei Huo, Hua Chai, Jiqiang Liu, Dan Tao, Ruipeng Gao., “Experience: Large-scale Cellular Localization for Pickup Position Recommendation at Black-hole” in Proc. ACM MobiCom 2023, Madrid, Spain, Oct. 2023. Acceptance rate: 92/377=24.4%.

  29. Tianya Zhao, Xuyu Wang, and Shiwen Mao, “Backdoor attacks against deep learning-based massive MIMO localization,” in Proc. IEEE GLOBECOM 2023, Kuala Lumpur, Malaysia, Dec. 2023.

  30. Yingxin Shan, Peng Liao, Xuyu Wang, Lingling An, and Shiwen Mao, “Classical to quantum transfer learning framework for wireless sensing under domain shift,” in Proc. IEEE GLOBECOM 2023, Kuala Lumpur, Malaysia, Dec. 2023.

  31. Yingxin Shan, Peng Liao, Xuyu Wang, Lingling An, and Shiwen Mao, “MAA: Modulation-adaptive acoustic gesture recognition,” in Proc. IEEE MASS 2023, Toronto, Canada, Sept. 2023.

  32. Erbo Shen, Weidong Yang, Xuyu Wang, and Shiwen Mao, “Foreign material detection and localization in stored grain with passive RFID tag arrays,” in Proc. IEEE RFID-TA 2023, Special Session on “Next-generation RFID systems empowered by location awareness,” Aveiro, Portugal, Sept. 2023, pp.193-196.

  33. Harshit Ambalkar, Tianya Zhao, Xuyu Wang, and Shiwen Mao, “Adversarial attack and defense for WiFi-based apnea detection system,” in Proc. IEEE INFOCOM Posters, Hoboken, NJ, May 2023.

  34. Steven Mackey, Tianya Zhao, Xuyu Wang, and Shiwen Mao, “Poster Abstract: Cross-domain adaptation for RF fingerprinting using prototypical networks,” in Proc. ACM SenSys 2022, Boston, MA, Nov. 2022, pp.812-813.

  35. Pengming Hu, Weidong Yang, Xuyu Wang, Shiwen Mao, and Erbo Shen, “WiWm-EP: Wi-Fi CSI-based wheat moisture detection using equivalent permittivity,” in Proc. IEEE INFOCOM WKSHPS: DeepWireless 2023: Deep Learning for Wireless Communications, Sensing, and Security, Hoboken, NJ, May 2023.

  36. Gargi Gopalkrishna Prabhugaonkar, Xiaoyan Sun, Xuyu Wang, Jun Dai, “Deep IoT Monitoring: Filtering IoT Traffic Using Deep Learning,” in Proceedings of 3rd International Silicon Valley Cybersecurity Conference 2022 (SVCC 2022).

  37. Pengming Hu, Weidong Yang, Xuyu Wang, Shiwen Mao, and Chao Niu, “WiPd: Contactless water-injected pork detection using commodity WiFi devices,” in Proc. IEEE MASS 2022, Denver, CO, Oct. 2022.

  38. Shivenkumar Parmar, Xuyu Wang, Chao Yang, and Shiwen Mao, “Voice fingerprinting for indoor localization with a single microphone array and deep learning,” in Proc. the Fourth ACM Wireless Security and Machine Learning Workshop (WiseML'22), in conjunction with ACM WiSec 2022, San Antonio, TX, May 2022.

  39. Ushasree Boora, Xuyu Wang, and Shiwen Mao, “Robust massive MIMO localization using neural ODE in adversarial environments,” in Proc. IEEE ICC 2022, Seoul, South Korea, May 2022.

  40. Erbo Shen, Weidong Yang, Xuyu Wang, Shiwen Mao, and Wei Bin, “TagSense: Robust wheat moisture and temperature sensing using a passive RFID tag,” in Proc. IEEE ICC 2022, Seoul, South Korea, May 2022. (The IEEE ICC 2022 Best Paper Award).

  41. Chao Yang, Lingxiao Wang, Xuyu Wang, and Shiwen Mao, “Demo Abstract: Environment-adaptive 3D human pose tracking with RFID,” in Proc. IEEE INFOCOM 2022, Virtual Conference, May 2022. (The IEEE INFOCOM 2022 Demo Award).

  42. Chao Yang, Xuyu Wang, and Shiwen Mao, “Demo Abstract: Technology-agnostic approach to RF based human activity recognition,” in Proc. IEEE INFOCOM 2022, Virtual Conference, May 2022.

  43. Chao Yang, Lingxiao Wang, Xuyu Wang, and Shiwen Mao, “Meta-Pose: Environment-adaptive human skeleton tracking with RFID,” in Proc. IEEE GLOBECOM 2021 (GLOBECOM'21), Madrid, Spain, Dec. 2021.

  44. Harshit Ambalkar, Xuyu Wang, and Shiwen Mao, “Adversarial human activity recognition using Wi-Fi CSI,” invited paper, in Proc. 2021 Annual IEEE Canadian Conference of Electrical and Computer Engineering (CCECE'21), Virtual Conference, Sept. 2021.

  45. Chao Yang, Xuyu Wang, and Shiwen Mao, “RFID-based vital sign monitoring,” invited paper, in Proc. The 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI'21), Special Session on Contactless Vital Signs Monitoring for AI Healthcare, Virtual Conference, July 2021.

  46. Xuyu Wang and Shiwen Mao, “Acoustic-based vital sign monitoring,” invited paper, in Proc. The 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI'21), Special Session on Contactless Vital Signs Monitoring for AI Healthcare, Virtual Conference, July 2021.

  47. Mohini Patil, Xuyu Wang, Xiangyu Wang, and Shiwen Mao, “Adversarial attacks on deep learning-based floor classification and indoor localization,” invited paper, in Proc. 2001 ACM Workshop on Wireless Security and Machine Learning (WiseML'21), Abu Dhabi, United Arab Emirates, June-July 2021.

  48. Xuyu Wang, Mohini Patil, Chao Yang, Shiwen Mao, and Palak Anilkumar Patel, “Deep Convolutional Gaussian Processes for mmWave outdoor localization,” in Proc. IEEE ICASSP 2021, Special Session on Contactless and Wireless Sensing for Smart Environments, Toronto, Canada, June 2021.

  49. Chao Yang, Xuyu Wang, and Shiwen Mao, “Subject-adaptive skeleton tracking with RFID,” in Proc. The 16th IEEE International Conference on Mobility, Sensing and Networking (MSN 2020), Tokyo, Japan, Dec. 2020 (8 pages).

  50. Chao Yang, Xuyu Wang, and Shiwen Mao, “Demo Abstract: Vision-aided 3D human pose estimation with RFID,” Demo, in Proc. The 16th IEEE International Conference on Mobility, Sensing and Networking (MSN 2020), Tokyo, Japan, Dec. 2020 (2 pages).

  51. Shanshan Duan, Weidong Yang, Xuyu Wang, Shiwen Mao, and Yuan Zhang, “Deep spatio-temporal attention model for grain storage temperature forecasting,” in Proc. IEEE 2020 International Conference on Parallel and Distributed Systems (ICPADS 2020), Hong Kong, China, Dec. 2020 (8 pages).

  52. Jait Purohit, Xuyu Wang, Shiwen Mao, Xiaoyan Sun, and Chao Yang, “Fingerprinting-based indoor and outdoor localization with LoRa and deep learning,” in Proc. IEEE GLOBECOM 2020, Taipei, Taiwan, Dec. 2020.

  53. Mansi Patel, Xuyu Wang, and Shiwen Mao, “Data augmentation with Conditional GAN for automatic modulation classification,” in Proc. Proc. 2020 ACM Workshop on Wireless Security and Machine Learning (WiseML 2020), in conjunction with the 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks (ACM WiSec 2020), Linz, Austria, July 2020.

  54. Chao Yang, Xuyu Wang, and Shiwen Mao, “RFID-based driving fatigue detection,” in Proc. IEEE GLOBECOM 2019, Waikoloa, HI, Dec. 2019. (The IEEE GLOBECOM 2019 Best Paper Award).

  55. Pengming Hu, Weidong Yang, Xuyu Wang, and Shiwen Mao, “MiFi: Device-free wheat mildew detection using off-the-shelf WiFi devices,” in Proc. IEEE GLOBECOM 2019, Waikoloa, HI, Dec. 2019.

  56. Xianting Ke, Lingling An, Qingqi Pei, and Xuyu Wang, “Race Classification Based Iris Image Segmentation,” in Internation Conference on SmartMultimedia (ICSM) 2019, San Diego, CA, Dec. 2019.

  57. Chao Yang, Xuyu Wang, and Shiwen Mao, “SparseTag: High-precision backscatter indoor localization with sparse RFID tag arrays,” in Proc. IEEE SECON 2019, Boston, MA, June 2019.

  58. Shanshan Duan, Weidong Yang, Xuyu Wang, Shiwen Mao, and Yuan Zhang, “Grain pile temperature forecasting from weather factors: A support vector regression approach,” invited paper, in Proc. IEEE/CIC ICCC 2019, Changchun, China, Aug. 2019.

  59. Chao Yang*, Xuyu Wang*, and Shiwen Mao, “AutoTag: Recurrent variational autoencoder for unsupervised apnea detection with RFID tags,” in Proc. IEEE GLOBECOM 2018, Abu Dhabi, United Arab Emirates, Dec. 2018. (*means Co-first authors)

  60. Xiangyu Wang*, Xuyu Wang*, Shiwen Mao, Jian Zhang, Senthilkumar C.G. Periaswamy, and Justin Patton, “DeepMap: Deep Gaussian Process for indoor radio map construction and location estimation,” in Proc. IEEE GLOBECOM 2018, Abu Dhabi, United Arab Emirates, Dec. 2018. (*means Co-first authors)

  61. Jian Zhang, Zhitao Yu, Xiangyu Wang, Yibo Lyu, Shiwen Mao, Senthilkumar C.G. Periaswamy, Justin Patton, and Xuyu Wang, “RFHUI: An intuitive and easy-to-operate human-UAV interaction system for controlling a UAV in a 3D space,” in Proc. EAI MobiQuitous 2018, New York City, NY, Nov. 2018.

  62. Weidong Yang, Xuyu Wang, Shui Cao, Hui Wang, and Shiwen Mao, “Multi-class wheat moisture detection with 5GHz Wi-Fi: A deep LSTM approach,” in Proc. IEEE ICCCN 2018, Hangzhou, China, July/Aug. 2018.

  63. Weidong Yang, Xuyu Wang, Anxiao Song, and Shiwen Mao, “Wi-Wheat: Contact-free wheat moisture detection using commodity WiFi,” in Proc. IEEE ICC 2018, Kansas City, MO, May 2018.

  64. Xuyu Wang, Zhitao Yu, and Shiwen Mao, “DeepML: Deep LSTM for indoor localization with smartphone magnetic and light sensors,” in Proc. IEEE ICC 2018, Kansas City, MO, May 2018.

  65. Xuyu Wang, Xiangyu Wang, and Shiwen Mao, “ResLoc: Deep residual sharing learning for indoor localization with CSI tensors,” in Proc. IEEE PIMRC 2017, Montreal, QC, Canada, Oct. 2017. (The IEEE PIMRC 2017 Best Student Paper Award)

  66. Xuyu Wang Chao Yang, and Shiwen Mao, “ResBeat: Resilient breathing beats monitoring with online bimodal CSI data,” in Proc. IEEE GLOBECOM 2017, Singapore, Dec. 2017.

  67. Xuyu Wang, Runze Huang, and Shiwen Mao, “SonarBeat: Sonar phase for breathing beat monitoring with smartphones,” in Proc. ICCCN 2017, Vancouver, Candada, July/Aug. 2017.

  68. Xuyu Wang, Runze Huang, and Shiwen Mao, “Demo Abstract: SonarBeat: Sonar phase for breathing beat monitoring with smartphones,” in Proc. IEEE SECON 2017, San Diego, CA, June 2017.(The IEEE SECON 2017 Best Demo Award)

  69. Xuyu Wang, Chao Yang, and Shiwen Mao, “PhaseBeat: Exploiting CSI phase data for vital sign monitoring with commodity WiFi devices,” in Proc. IEEE ICDCS 2017, Atlanta, GA, June 2017.

  70. Xuyu Wang, Xiangyu Wang, and Shiwen Mao, “CiFi: Deep convolutional neural networks for indoor localization with 5GHz Wi-Fi,” in Proc. IEEE ICC 2017, Paris, France, May 2017.

  71. Xuyu Wang, Lingjun Gao, and Shiwen Mao, “PhaseFi: Phase fingerprinting for indoor localization with a deep learning approach,” in Proc. IEEE GLOBECOM 2015, San Diego, CA, Dec. 2015, pp.1-6.

  72. Xuyu Wang, Lingjun Gao, Shiwen Mao, and Santosh Pandey, “DeepFi: Deep learning for indoor fingerprinting using channel state information,” in Proc. IEEE WCNC 2015, New Orleans, LA, Mar. 2015, pp.1666-1671.

  73. Xuyu Wang, Hui Zhou, Shiwen Mao, Santosh Pandey, Prathima Agrawal, and David Bevly, “Mobility improves LMI-based cooperative indoor localization,” in Proc. IEEE WCNC 2015, New Orleans, LA, Mar. 2015, pp.2215-2220.

  74. Xuyu Wang, Shiwen Mao, Santosh Pandey, and Prathima Agrawal, “CA2T: Cooperative antenna arrays technique for pinpoint indoor localization,” invited paper, in Proc. MobiSPC 2014, Niagara Falls, Canada, Aug. 2014, pp.392-399.

  75. Xuyu Wang, Xinbo Gao, and Ru Zong, “Deployment of High Altitude Platforms in Heterogeneous Wireless Sensor Network via MRF-MAP and Potential Games,” Proc. IEEE WCNC 2013, Shanghai, China, Apr. 2013, pp. 1446–1451.

  76. Xuyu Wang, Xinbo Gao, and Ru Zong, “Energy-Efficient Deployment of Airships for High Altitude Platforms: A Deterministic Annealing Approach,” Proc. IEEE GLOBECOM 2011, Houston, Texas, USA, Dec. 2011.

  77. Xuyu Wang, Xinbo Gao, and Ru Zong, “An Optimal Model and Solution of Deployment of Airships for High Altitude Platforms,” Proc. IEEE WCSP 2010, Suzhou, China,Oct. 2010.

  78. Ru Zong, Xinbo Gao, Xuyu Wang, and Zongting Lv “Deployment of High Altitude Platforms Network: A Game Theoretic Approach,” Proc. IEEE ICNC 2012, Workshop on Computing, Networking and Communications, Maui, Hawaii, USA, January, 2012, pp. 304–308.

  79. Peng Cheng, Anjin Guo, Youyun Xu, Xuyu Wang, and Xinbo Gao, “A Game Approach for Dynamic Resource Allocation in Cognitive Radio Networks,” in Proc. IEEE WCSP 2010, Suzhou, China, Oct. 2010.

Patents

  1. Shiwen Mao, Xuyu Wang, and Chao Yang, “RFID-based Driving Fatigue Detection ("NodTrack"),” US Provisional Patent Application, Application Number: 62/855,303, May 31, 2019.

  2. Shiwen Mao, Xuyu Wang, Xiangyu Wang, “ResLoc: Deep residual sharing learning for indoor localization with CSI tensors,” US Provisional Patent Application, Application Number: 62/741,723, Oct. 5, 2018.

  3. Shiwen Mao, Xuyu Wang, and Chao Yang, “TensorBeat: Tensor decomposition for monitoring multi-person breathing beats with commodity WiFi,” USProvisional Patent Application, Application Number: 62/444,598, Jan. 10, 2017, Sept. 4, 2018.

  4. Shiwen Mao, Xuyu Wang, and Renze Huang, “SonarBeat: Sonar phase for breathing beat monitoring with smartphones,” US Provisional Patent Application, Application Number: 62/519,336, June 14, 2017.

  5. Shiwen Mao, Xuyu Wang, and Lingjun Gao, “BiLoc: Bi-modal Deep Learning for Indoor Localization with Commodity 5GHz WiFi,” US Provisional Patent Application, Application Number: 62/338,737, May 19, 2016.

  6. Shiwen Mao, Xuyu Wang, and Chao Yang, “PhaseBeat: Exploiting CSI Phase Data for Vital Sign Monitoring with Commodity WiFi Devices,” US Provisional Patent Application, Application Number: 62/514,505, June 2, 2017.