Zhenge Jia
Orcid: 0000-0002-0554-3608
According to our database1,
Zhenge Jia
authored at least 24 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2024
2023
Nat. Mac. Intell., July, 2023
Life-threatening ventricular arrhythmia detection challenge in implantable cardioverter-defibrillators.
Nat. Mac. Intell., May, 2023
Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis.
CoRR, 2023
Demo: Addressing Inter-Intra Patient Variability via Personalized Meta-Federated Learning in IoT-Enabled Health Monitoring.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2023
2022
Nat. Mac. Intell., December, 2022
Cooperative Communication Between Two Transiently Powered Sensor Nodes by Reinforcement Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
Personalized Neural Network for Patient-Specific Health Monitoring in IoT: A Metalearning Approach.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
Development of A Real-time POCUS Image Quality Assessment and Acquisition Guidance System.
CoRR, 2022
Opportunistic Communication with Latency Guarantees for Intermittently-Powered Devices.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022
ICD-BAS: Detecting Ventricular Arrhythmia using Binary Architecture Search for Implantable Cardioverter Defibrillators.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2022
2021
On-device Prior Knowledge Incorporated Learning for Personalized Atrial Fibrillation Detection.
ACM Trans. Embed. Comput. Syst., 2021
Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Enabling On-Device Model Personalization for Ventricular Arrhythmias Detection by Generative Adversarial Networks.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
Lightweight Run-Time Working Memory Compression for Deployment of Deep Neural Networks on Resource-Constrained MCUs.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021
2020
Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical IoT Systems.
CoRR, 2020
Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical loT Systems.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020
Design Insights of Non-volatile Processors and Accelerators in Energy Harvesting Systems.
Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020
Intermittent Inference with Nonuniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
2019
Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019
Cooperative communication between two transiently powered sensors by reinforcement learning: work-in-progress.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, 2019
Q-learning based routing for transiently powered wireless sensor network: work-in-progress.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis Companion, 2019
2018
Prototyping Energy Harvesting Powered Systems with Nonvolatile Processor (Invited Paper).
Proceedings of the 2018 International Symposium on Rapid System Prototyping, 2018