Hongkai Chen
Orcid: 0000-0001-7206-6584Affiliations:
- Chinese University of Hong Kong, Department of Information Engineering, AIoT Lab, Hong Kong
- Stony Brook University, Department of Electrical and Computer Engineering, Stony Brook, NY, USA (PhD 2023)
According to our database1,
Hongkai Chen
authored at least 26 papers
between 2019 and 2025.
Collaborative distances:
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Bibliography
2025
ContextAgent: Context-Aware Proactive LLM Agents with Open-World Sensory Perceptions.
CoRR, May, 2025
An LLM-Empowered Low-Resolution Vision System for On-Device Human Behavior Understanding.
CoRR, May, 2025
OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis.
CoRR, April, 2025
SocialMind: LLM-based Proactive AR Social Assistive System with Human-like Perception for In-situ Live Interactions.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2025
Alzheimer's disease digital biomarkers multidimensional landscape and AI model scoping review.
npj Digit. Medicine, 2025
SHADE-AD: An LLM-Based Framework for Synthesizing Activity Data of Alzheimer's Patients.
Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025
2024
DrHouse: An LLM-empowered Diagnostic Reasoning System through Harnessing Outcomes from Sensor Data and Expert Knowledge.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., November, 2024
CoRR, 2024
SensEmo: Enabling Affective Learning through Real-time Emotion Recognition with Smartwatches.
CoRR, 2024
Demo: Myotrainer: Muscle-Aware Motion Analysis and Feedback System for In-Home Resistance Training.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024
Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024
Demo: EmoMarker: A Privacy-Preserving, Multi-Modal Sensing System for Dyadic Digital Biomarkers of Expressed Emotions for Patients with Dementia.
Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024
Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024
Demo Abstract: AD-CLIP: Privacy-Preserving, Low-Cost Synthetic Human Action Dataset for Alzheimer's Patients via CLIP-based Models.
Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024
2023
CoRR, 2023
Proceedings of the 26th ACM International Conference on Hybrid Systems: Computation and Control, 2023
An Ensemble Learning Approach for Exercise Detection in Patients with Type 1 Diabetes.
Proceedings of the 7th International Conference on Big Data and Internet of Things, 2023
2022
RFCam: Uncertainty-aware Fusion of Camera and Wi-Fi for Real-time Human Identification with Mobile Devices.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022
Proceedings of the Formal Modeling and Analysis of Timed Systems, 2022
2021
MPC-guided Imitation Learning of Bayesian Neural Network Policies for the Artificial Pancreas.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
2020
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
MPC-guided Imitation Learning of Neural Network Policies for the Artificial Pancreas.
CoRR, 2020
2019
Proceedings of the 17th Annual International Conference on Mobile Systems, 2019
Committed Moving Horizon Estimation for Meal Detection and Estimation in Type 1 Diabetes.
Proceedings of the 2019 American Control Conference, 2019