Journal
- Hardware design and the fairness of a neural network
Yuanbo Guo, Zheyu Yan, Xiaoting Yu, Qingpeng Kong, Joy Xie, Kevin Luo, Dewen Zeng, Yawen Wu, Zhenge Jia*, Yiyu Shi* (corresponding author)
Nature Electronics, 2024 (Impact Factor: 34.3).
- Personalized Meta-Federated Learning for IoT-Enabled Health Monitoring
Zhenge Jia, Tianren Zhou, Zheyu Yan, Jingtong Hu, Yiyu Shi
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024 (CCF-A).
- TinyML Design Contest for Life-Threatening Ventricular Arrhythmia Detection
Zhenge Jia, Dawei Li, Cong Liu, Liqi Liao, Xiaowei Xu, Lichuan Ping, Yiyu Shi
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023 (CCF-A).
- The Importance of Resource Awareness in Artificial Intelligence for Healthcare
Zhenge Jia, Jianxu Chen, Xiaowei Xu, John Kheir, Jingtong Hu, Han Xiao, Sui Peng, Sharon Hu, Danny Chen, Yiyu Shi
Nature Machine Intelligence (NMI), 2023 (Impact Factor: 25.9).
- Life-Threatening Ventricular Arrhythmia Detection Challenge in Implantable Cardioverter Defibrillators
Zhenge Jia, Dawei Li, Xiaowei Xu, Na Li, Feng Hong, Lichuan Ping, Yiyu Shi
Nature Machine Intelligence (NMI), 2023 (Impact Factor: 25.9).
- Low-Power Object-Detection Challenge on Unmanned Aerial Vehicles
Zhenge Jia, Xiaowei Xu, Jingtong Hu, Yiyu Shi
Nature Machine Intelligence (NMI), 2022 (Impact Factor: 25.9).
- Personalized Neural Network for Patient-Specific Health Monitoring in IoT: A Meta-Learning Approach
Zhenge Jia, Yiyu Shi, Jingtong Hu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2022 (CCF-A).
- Cooperative Communication Between Two Transiently Powered Sensor Nodes by Reinforcement Learning
Yawen Wu, Zhenge Jia, Fei Fang, Jingtong Hu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2021 (CCF-A).
Conference
- Federation-Paced Learning: Towards Efficient Federated Learning with Synchronized Pace
Tingting Zhang, Mei Cao, Zhenge Jia, Jianbo Lu, Zhaoyan Shen, Dongxiao Yu, Mengying Zhao
Proc. of 27th European Conference on Artificial Intelligence (ECAI), 2024 (CCF-B).
- Towards Uncertainty-Quantifiable Biomedical Intelligence: Mixed-signal Compute-in-Entropy for Bayesian Neural Networks
Likai Pei, Yifan Qin, Zephan M. Enciso, Boyang Cheng, Jianbo Liu, Steven Davis, Zhenge Jia, Michael Niemier, Yiyu Shi, X. Sharon Hu, Ningyuan Cao
Proc. of IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2024 (CCF-B).
- Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures
Ruiyang Qin, Zheyu Yan, Dewen Zeng, Zhenge Jia, Dancheng Liu, Jianbo Liu, Zhi Zheng, Ningyuan Cao, Kai Ni, Jinjun Xiong, Yiyu Shi
Proc. of IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2024 (CCF-B).
- FairQuantize: Achieving Fairness Through Weight Quantization for Dermatological Disease Diagnosis
Yuanbo Guo, Zhenge Jia, Jingtong Hu, Yiyu Shi
Proc. of Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024 (CCF-B).
- A Reconfigurable Bandpass Filter with Ferroelectric Devices for Intracardiac Electrograms Monitoring
Jianwei Jia, Zhenge Jia, Omkar Phadke, Gihun Choe, Yiyu Shi, Shimeng Yu
Proc. of IEEE Midwest Symposium on Circuits and Systems (MWSCAS), 2024.
- Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis
Ruiyang Qin, Jun Xia, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Peipei Zhou, Jingtong Hu, Yiyu Shi
The 61th IEEE/ACM Design Automation Conference (DAC), 2024 (CCF-A).
- Demo: Addressing Inter-Intra Patient Variability via Personalized Meta-Federated Learning in IoT-Enabled Health Monitoring
Zhenge Jia, Yiyu Shi
IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2023.
- ICD-BAS: Detecting Ventricular Arrhythmia using Binary Architecture Search for Implantable Cardioverter Defibrillators
Qing Lu, Zhenge Jia, Jingtong Hu, Yiyu Shi
The IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2022.
- On-Device Prior Knowledge Incorporated Learning for Personalized Atrial Fibrillation Detection
Zhenge Jia, Yiyu Shi, Samir Saba, Jingtong Hu
Proc. International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES).
Also appears as part of the ESWEEK-TECS Special Issue, ACM Transactions on Embedded Computing Systems (ACM TECS), 2021 (CCF-B).
- Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs
Zhenge Jia, Zhepeng Wang, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu
The 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021 (CCF-A).
- Enabling On-Device Model Personalization for Ventricular Arrhythmias Detection by Generative Adversarial Networks
Zhenge Jia, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu
The 58th IEEE/ACM Design Automation Conference (DAC), 2021 (CCF-A).
- Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical IoT Systems
Zhenge Jia, Zhepeng Wang, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu
The 39th IEEE/ACM International Conference On Computer-Aided Design (ICCAD), 2020 (CCF-B).
- Opportunistic Communication with Latency Guarantees for Intermittently-Powered Devices
Kacper Wardega, Wenchao Li, Hyoseung Kim, Yawen Wu, Zhenge Jia, Jingtong Hu
The ACM/IEEE Design, Automation and Test in Europe (DATE), 2022 (CCF-B).
- Lightweight Run-Time Working Memory Compression for Deployment of Deep Neural Networks on Resource-Constrained MCUs
Zhepeng Wang, Yawen Wu, Zhenge Jia, Yiyu Shi, Jingtong Hu
The 26th Asia and South Pacific Design Automation Conference (ASP-DAC), 2021 (CCF-C).
- Intermittent Inference with Non-uniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices
Yawen Wu, Zhepeng Wang, Zhenge Jia, Yiyu Shi, Jingtong Hu
The 57th IEEE/ACM Design Automation Conference (DAC), 2020 (CCF-A).
