The Hong Kong University of Science and Technology (Guangzhou)
Ph.D. in Data Science and Analytics (Advisor: Prof. Kaishun WU)
Data Science and Analytics (DSA) Thrust, HKUST(GZ)
Email: leen-chen@foxmail.com | Website: https://leenc.cn
My research lies at the intersection of AI, ubiquitous computing, and healthcare. I design sensing systems that transform signals from mobile devices, wearables, wireless sensing, and physiological sensors into practical tools for health monitoring and human-computer interaction, with an emphasis on noisy real-world data, diverse users, and deployable, human-centered systems.
Ph.D. in Data Science and Analytics (Advisor: Prof. Kaishun WU)
M.Eng. in Computer Science (Advisor: Prof. Kaishun WU)
B.Eng. in Software Engineering (Advisor: Prof. Kaishun WU)
Reconstructs clinically useful ECG waveforms from passive BCG signals by aligning latent cardiac events across healthy and clinical populations.
Enables smartwatch-based pointing and appliance control using existing speakers, without cameras, tags, anchors, or room-specific calibration.
Unifies dynamic-motion and static-presence sensing to reconstruct 3D human meshes with mmWave radar when visible movement is limited.
Mark Weiser Best Paper Award, IEEE PerCom
Titles link to the published papers. A complete list is available at leenc.cn/publications.
Lin Chen, Cong Li, Shuxin Zhong, Jun Chen, Yufei Wen, Haotian Song, Kaishun Wu. “Sensing Life in Stillness: Unified Dynamic and Static Human Mesh Reconstruction with mmWave Radar.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2026.
Lin Chen, Yandao Huang, Minghui Qiu, Shuxin Zhong, Jun Chen, Kaishun Wu. “Wandatch: Infrastructure-Free Point-to-Command with Smartwatches and Speakers.” IEEE International Conference on Pervasive Computing and Communications (PerCom), 2026. [Mark Weiser Best Paper Award]
Lin Chen, Yandao Huang, Chenggao Li, Jun Chen, Shuxin Zhong, Minghui Qiu, Chunzhen Guo, Yi Wang, Qian Zhang, Kaishun Wu. “Med2ECG: Medical-Guided BCG-to-ECG Reconstruction for Diverse Populations.” ACM Conference on Embedded Networked Sensor Systems (SenSys), 2026.
Jun Chen, Minghui Qiu, Lin Chen, Yan Fang, Shuxin Zhong, Binghong Chen, Kaishun Wu. “Stormmind: Disentangled layerwise modeling for convective weather systems.” ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026.
Jun Chen, Lin Chen, Yan Fang, Minghui Qiu, Shuxin Zhong, Yu Zhang, Binghong Chen, Kaishun Wu. “Beyond blurriness and artifacts: A synergistic deterministic-probabilistic approach for radar reconstruction.” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2026.
Yandao Huang, Cong Li, Chenggao Li, Lin Chen, Junyao Peng, Weibin Cheng, Qian Zhang, Kaishun Wu. “Hyde: Inferring cardiovascular hemodynamics using BCG for cross-user hypertension detection.” IEEE Transactions on Mobile Computing (TMC), 2026.
Chenggao Li, Junyao Peng, Qingyong Hu, Lin Chen, Yandao Huang, Shun Wu, Weibin Cheng, Qian Zhang. “PracticalBP: Continuous Cuffless Blood Pressure Monitoring with Only One Record for Calibration.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2025.
Yandao Huang, Lin Chen, Chenggao Li, Junyao Peng, Qingyong Hu, Yu Sun, Hao Ren, Weimin Lyu, Wen Jin, Junzhang Tian, Changyuan Yu, Weibin Cheng, Kaishun Wu, Qian Zhang. “AI-driven system for non-contact continuous nocturnal blood pressure monitoring using fiber optic ballistocardiography.” Nature Communications Engineering, 2024.
Yandao Huang, Minghui Qiu, Lin Chen, Zhencan Peng, Qian Zhang, Kaishun Wu. “Nf-heart: a near-field non-contact continuous user authentication system via ballistocardiogram.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2023.
Wenqiang Chen, Lin Chen, Yandao Huang, Xinyu Zhang, Lu Wang, Rukhsana Ruby, Kaishun Wu. “Taprint: Secure text input for commodity smart wristbands.” ACM International Conference on Mobile Computing and Networking (MobiCom), 2019.