| Intermittent inference with nonuniformly compressed multi-exit neural network for energy harvesting powered devices Y Wu, Z Wang, Z Jia, Y Shi, J Hu 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 59 | 2020 |
| The importance of resource awareness in artificial intelligence for healthcare Z Jia, J Chen, X Xu, J Kheir, J Hu, H Xiao, S Peng, XS Hu, D Chen, Y Shi Nature Machine Intelligence 5 (7), 687-698, 2023 | 24 | 2023 |
| Lightweight run-time working memory compression for deployment of deep neural networks on resource-constrained MCUs Z Wang, Y Wu, Z Jia, Y Shi, J Hu Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021 | 21 | 2021 |
| Personalized deep learning for ventricular arrhythmias detection on medical IoT systems Z Jia, Z Wang, F Hong, L Ping, Y Shi, J Hu Proceedings of the 39th international conference on computer-aided design, 1-9, 2020 | 16 | 2020 |
| Cooperative communication between two transiently powered sensor nodes by reinforcement learning Y Wu, Z Jia, F Fang, J Hu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 13 | 2021 |
| Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs. Z Jia, Z Wang, F Hong, L Ping, Y Shi, J Hu IJCAI, 2606-2613, 2021 | 11 | 2021 |
| Personalized neural network for patient-specific health monitoring in IoT: a metalearning approach Z Jia, Y Shi, J Hu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 10 | 2022 |
| Design insights of non-volatile processors and accelerators in energy harvesting systems K Qiu, M Zhao, Z Jia, J Hu, CJ Xue, K Ma, X Li, Y Liu, V Narayanan Proceedings of the 2020 on Great Lakes Symposium on VLSI, 369-374, 2020 | 8 | 2020 |
| Prototyping energy harvesting powered systems with nonvolatile processor Y Wu, Y Sun, Z Jia, L Zhang, Y Liu, J Hu 2018 International Symposium on Rapid System Prototyping (RSP), 49-55, 2018 | 8 | 2018 |
| Enabling on-device large language model personalization with self-supervised data selection and synthesis R Qin, J Xia, Z Jia, M Jiang, A Abbasi, P Zhou, J Hu, Y Shi arXiv preprint arXiv:2311.12275, 2023 | 5 | 2023 |
| Tinyml design contest for life-threatening ventricular arrhythmia detection Z Jia, D Li, C Liu, L Liao, X Xu, L Ping, Y Shi IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2023 | 5 | 2023 |
| On-device prior knowledge incorporated learning for personalized atrial fibrillation detection Z Jia, Y Shi, S Saba, J Hu ACM Transactions on Embedded Computing Systems (TECS) 20 (5s), 1-25, 2021 | 5 | 2021 |
| Low-power object-detection challenge on unmanned aerial vehicles Z Jia, X Xu, J Hu, Y Shi Nature Machine Intelligence 4 (12), 1265-1266, 2022 | 3 | 2022 |
| Opportunistic communication with latency guarantees for intermittently-powered devices K Wardega, W Li, H Kim, Y Wu, Z Jia, J Hu 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2022 | 3 | 2022 |
| Enabling on-device model personalization for ventricular arrhythmias detection by generative adversarial networks Z Jia, F Hong, L Ping, Y Shi, J Hu 2021 58th ACM/IEEE Design Automation Conference (DAC), 163-168, 2021 | 3 | 2021 |
| Work-in-progress: Cooperative communication between two transiently powered sensors by reinforcement learning Y Wu, Z Jia, F Fang, J Hu 2019 International Conference on Hardware/Software Codesign and System …, 2019 | 3* | 2019 |
| Life-threatening ventricular arrhythmia detection challenge in implantable cardioverter–defibrillators Z Jia, D Li, X Xu, N Li, F Hong, L Ping, Y Shi Nature Machine Intelligence 5 (5), 554-555, 2023 | 2 | 2023 |
| Q-learning based routing for transiently powered wireless sensor network: work-in-progress Z Jia, Y Wu, J Hu Proceedings of the International Conference on Hardware/Software Codesign …, 2019 | 2 | 2019 |
| In-memory aes implementation for emerging non-volatile main memory M Xie, Y Wu, Z Jia, J Hu 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 103-103, 2019 | 2 | 2019 |
| Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices R Qin, D Liu, Z Yan, Z Tan, Z Pan, Z Jia, M Jiang, A Abbasi, J Xiong, Y Shi arXiv preprint arXiv:2406.03777, 2024 | 1 | 2024 |
