Publications

Journal

1. Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices
   Ruiyang Qin, Dancheng Liu, Chenhui Xu, Zheyu Yan, Zhaoxuan Tan, Zhenge Jia, Amir Nassereldine, Jiajie Li, Meng Jiang, Ahmed Abbasi, Jinjun Xiong, Yiyu Shi
   ACM Transactions on Design Automation of Electronic Systems, 2025 (CCF-B).
   
2. 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).
   
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).
   
4. 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).
   
5. 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).
   
6. 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).
   
7. 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).
   
8. 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).
   
9. 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

2025

1. DiffECG: Diffusion Model-Powered Label-Efficient and Personalized Arrhythmia Diagnosis
   Tianren Zhou, Zhenge Jia*, Dongxiao Yu, Zhaoyan Shen
   Proc. of the 34th International Joint Conference on Artificial Intelligence (IJCAI) , 2025 (CCF-A).
   
2. Enabling On-Tiny-Device Model Personalization via Gradient Condensing and Alternant Partial Update
   Zhenge Jia, Yiyang Shi, Zeyu Bao, Zirui Wang, Xin Pang, Huiguo Liu, Yu Duan, Zhaoyan Shen, Mengying Zhao
   Proc. of the 62nd IEEE/ACM Design Automation Conference (DAC) , 2025 (CCF-A).
   
3. Routability-aware Packing for High-density Nonvolatile FPGAs
   Huichuan Zheng, Yuqing Xiong, Jian Zuo, Hao Zhang, Zhenge Jia, Mengying Zhao
   Proc. of the 62nd IEEE/ACM Design Automation Conference (DAC) , 2025 (CCF-A).
   
4. QC-CNN: Highly Quantized Compressive CNN for Efficient Ventricular Arrhythmia Detection in Implantable Cardioverter Defibrillators
   Zining Wang, Jian Gao, Weidong Cao, Zhenge Jia, Yiyu Shi, Xuan Zhang
   IEEE International Symposium on Circuits and Systems (ISCAS) , 2025.
   
5. A 65nm Uncertainty-quantifiable Ventricular Arrhythmia Detection Engine with 1.75μJ per Inference
   Jianbo Liu, Zephan Enciso, Boyang Cheng, Likai Pei, Steven Davis, Yifan Qin, Zhenge Jia, X. Sharon Hu, Yiyu Shi, Ningyuan Cao
   Proc. of IEEE International Solid- State Circuits Conference (ISSCC) , 2025 (Top Conference in IC).
   
6. A 10.60 uW 150 GOPS Mixed-Bit-Width Sparse CNN Accelerator for Life-Threatening Ventricular Arrhythmia Detection
   Yifan Qin, Zhenge Jia, Zheyu Yan, Jay Mok, Manto Yung, Yu Liu, Xuejiao Liu, Wujie Wen, Luhong Liang, Kwang-Ting Tim Cheng, X. Sharon Hu, Yiyu Shi
   Proc. of the Asia and South Pacific Design Automation Conference (ASP-DAC), 2025 (CCF-C).
   

2024

1. 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).
   
2. 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).
   
3. 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).
   
4. 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).
   
5. 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.
   
6. 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 61st IEEE/ACM Design Automation Conference (DAC), 2024 (CCF-A).
   

2023 and Before

1. 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.
   
2. 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.
   
3. 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).
   
4. 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).
   
5. 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).
   
6. 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).
   
7. 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).
   
8. 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).
   
9. 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).