Publications

2025

  1. •
    Hongkai Chen, Zeyu Zhang, Shouvik Roy, Scott A. Smolka, Scott Stoller, Ezio Bartocci, and Shan Lin. Cumulative-time Signal Temporal Logic. In Proceedings of International Conference on Embedded Software (EMSOFT’25), Sep 2025.
  2. •
    Siyang Jiang, Bufang Yang, Lilin Xu, Yuan Mu, Yeerzhati Abudunuer, Kaiwei Liu, Liekang Zeng, Hongkai Chen, Xiaofan Jiang, Zhenyu Yan, and Guoliang Xing. LLM-Driven Low-Resolution Vision System for On-Device Human Behavior Understanding. In Proceedings of the 2025 International Conference on Mobile Computing and Networking (MobiCom’25), Nov 2025. Acceptance rate: 36/348=10.3%
  3. •
    Wenhao Qi, Xiaohong Zhu, Bin Wang, Yankai Shi, Chaoqun Dong, Shiying Shen, Jiaqi Li, Kun Zhang, Yunfan He, Mengjiao Zhao, Shiyan Yao, Yongze Dong, Huajuan Shen, Junling Kang, Xiaodong Lu, Guowei Jiang, Lizzy M. M. Boots, Heming Fu, Li Pan, Hongkai Chen, Zhenyu Yan, Guoliang Xing, and Shihua Cao. Alzheimer’s Disease Digital Biomarkers Multidimensional Landscape and AI Model Scoping Review. npj Digital Medicine, Nov 2025.
  4. •
    Yuting He, Xinyan Wang, Yuan Mu, Bufang Yang, Siyang Jiang, Yihua Huang, Doris S.F. Yu, Guoliang Xing, and Hongkai Chen. Myo-Trainer: A Muscle-Aware Motion Analysis and Feedback System for In-Home Resistance Training. In Proceedings of the 2025 International Conference on Mobile Computing and Networking (MobiCom’25), Nov 2025. Acceptance rate: 36/348=10.3%
  5. •
    Heming Fu, Hongkai Chen, Shan Lin, and Guoliang Xing. SHADE-AD: An LLM-Based Framework for Synthesizing Activity Data of Alzheimer’s Patients. In Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems (SenSys’25), May 2025. Acceptance rate: 45/235=19.1%
  6. •
    Jinglin He, Yunqi Guo, Lai Kwan Lam, Waikei Leung, Lixing He, Yuanan Jiang, Chi Chiu Wang, Guoliang Xing, and Hongkai Chen. OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis. In Proceedings of the 11th International Conference on Big Data Computing and Communications (BigCom’25), Jun 2025. Best Paper Award
  7. •
    Bufang Yang, Yunqi Guo, Lilin Xu, Zhenyu Yan, Hongkai Chen, Guoliang Xing, and Xiaofan Jiang. SocialMind: LLM-based Proactive AR Social Assistive System with Human-like Perception for In-situ Live Interactions. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Mar 2025.

2024

  1. •
    Bufang Yang, Siyang Jiang, Lilin Xu, Kaiwei Liu, Hai Li, Guoliang Xing, Hongkai Chen, Xiaofan Jiang, and Zhenyu Yan. DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Nov 2024.
  2. •
    Kushan Choksi, Hongkai Chen, Karan Joshi, Sukrutha Jade, Shahriar Nirjon, and Shan Lin. SensEmo: Enabling Affective Learning through Real-time Emotion Recognition with Smartwatches. In Proceedings of the 2024 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS ’24), Sep 2024. Best Paper Award candidate

2023

  1. •
    Sirajum Munir, Hongkai Chen, Shiwei Fang, Mahathir Monjur, Shan Lin, and Shahriar Nirjon. CarFi: Rider Side Localization Using Wi-Fi CSI. In Proceedings of the 2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS ’23), Sep 2023.
  2. •
    Hongkai Chen, Scott A. Smolka, Nicola Paoletti, and Shan Lin. An STL-based Approach to Resilient Control for Cyber-Physical Systems. In Proceedings of the 26th ACM International Conference on Hybrid Systems: Computation and Control (HSCC ’23), May 2023. Best Repeatability Evaluation Award

2022

  1. •
    Hongkai Chen, Sirajum Munir, and Shan Lin. RFCam: Uncertainty-aware fusion of camera and Wi-Fi for human identification with mobile devices. ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Jun 2022.
  2. •
    Hongkai Chen, Shan Lin, Scott A. Smolka, and Nicola Paoletti. An STL-based Formulation of Resilience in Cyber-Physical Systems. In Proceedings of the 20th International Conference on Formal Modeling and Analysis of Timed Systems (FORMATS ’22), Sep 2022. Best Paper Award

2021

  1. •
    Hongkai Chen, Nicola Paoletti, Scott A. Smolka, and Shan Lin. MPC-guided Imitation Learning of Bayesian Neural Network Policies for the Artificial Pancreas. In Proceedings of the 2021 IEEE Conference on Decision and Control (CDC ’21), Dec 2021.

2019

  1. •
    Nicola Paoletti, Kin Sum Liu, Hongkai Chen, Scott A. Smolka, and Shan Lin. Data-Driven Robust Control for a Closed-Loop Artificial Pancreas. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Apr 2019.
  2. •
    Hongkai Chen, Nicola Paoletti, Scott A. Smolka, and Shan Lin. Committed Moving Horizon Estimation for Meal Detection and Estimation in Type 1 Diabetes. In Proceedings of the 2019 American Control Conference (ACC ’19), Jul 2019.
  3. •
    Hua Huang, Hongkai Chen, and Shan Lin. MagTrack: Enabling Safe Driving Monitoring with Wearable Magnetics. In Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys ’19), Jun 2019. Acceptance rate: 40/172=23.26%