| 2025 | ASPDAC | A 10.60 μW 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, Xiaobo Sharon Hu, Yiyu Shi |
| 2025 | DAC | 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 |
| 2025 | DAC | Routability-aware Packing for High-density Nonvolatile FPGAs. | Huichuan Zheng, Yuqing Xiong, Jian Zuo, Hao Zhang, Zhenge Jia, Mengying Zhao |
| 2025 | IJCAI | DiffECG: Diffusion Model-Powered Label-Efficient and Personalized Arrhythmia Diagnosis. | Tianren Zhou, Zhenge Jia, Dongxiao Yu, Zhaoyan Shen |
| 2025 | ISCAS | 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 |
| 2025 | MICCAI | Fair Dermatological Disease Diagnosis Through Auto-weighted Federated Learning and Performance-Aware Personalization. | Gelei Xu, Yawen Wu, Zhenge Jia, Jingtong Hu, Yiyu Shi |
| 2024 | DAC | 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 |
| 2024 | ECAI | Federation-Paced Learning: Towards Efficient Federated Learning with Synchronized Pace. | Tingting Zhang, Mei Cao, Zhenge Jia, Jianbo Lu, Zhaoyan Shen, Dongxiao Yu, Mengying Zhao |
| 2024 | ICCAD | 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 T. Niemier, Yiyu Shi, Xiaobo Sharon Hu, Ningyuan Cao |
| 2024 | ICCAD | 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, Ahmed Abbasi, Zhi Zheng, Ningyuan Cao, Kai Ni, Jinjun Xiong, Yiyu Shi |
| 2024 | MICCAI | FairQuantize: Achieving Fairness Through Weight Quantization for Dermatological Disease Diagnosis. | Yuanbo Guo, Zhenge Jia, Jingtong Hu, Yiyu Shi |
| 2023 | CHASE | Demo: Addressing Inter-Intra Patient Variability via Personalized Meta-Federated Learning in IoT-Enabled Health Monitoring. | Zhenge Jia, Yiyu Shi |
| 2022 | CHASE | ICD-BAS: Detecting Ventricular Arrhythmia using Binary Architecture Search for Implantable Cardioverter Defibrillators. | Qing Lu, Zhenge Jia, Jingtong Hu, Yiyu Shi |
| 2022 | DATE | Opportunistic Communication with Latency Guarantees for Intermittently-Powered Devices. | Kacper Wardega, Wenchao Li, Hyoseung Kim, Yawen Wu, Zhenge Jia, Jingtong Hu |
| 2021 | ASPDAC | 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 |
| 2021 | DAC | Enabling On-Device Model Personalization for Ventricular Arrhythmias Detection by Generative Adversarial Networks. | Zhenge Jia, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu |
| 2021 | IJCAI | 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 |
| 2020 | DAC | Intermittent Inference with Nonuniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices. | Yawen Wu, Zhepeng Wang, Zhenge Jia, Yiyu Shi, Jingtong Hu |
| 2020 | ICCAD | Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical loT Systems. | Zhenge Jia, Zhepeng Wang, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu |
| 2018 | RSP | Prototyping Energy Harvesting Powered Systems with Nonvolatile Processor (Invited Paper). | Yawen Wu, Yinan Sun, Zhenge Jia, Lefan Zhang, Yongpan Liu, Jingtong Hu |