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Zhenge Jia
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2020 – today
- 2024
- [j8]Zhenge Jia, Dawei Li, Cong Liu, Liqi Liao, Xiaowei Xu, Lichuan Ping, Yiyu Shi:
TinyML Design Contest for Life-Threatening Ventricular Arrhythmia Detection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(1): 127-140 (2024) - [j7]Zhenge Jia, Tianren Zhou, Zheyu Yan, Jingtong Hu, Yiyu Shi:
Personalized Meta-Federated Learning for IoT-Enabled Health Monitoring. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(10): 3157-3170 (2024) - [c18]Mengying Zhao, Zhaoyan Shen, Zhenge Jia, Zhaohui Peng, Xiaojun Cai:
Course Reform Incorporating Ideological and Political Education in Computer Organization and Design. ACM TUR-C 2024 - [c17]Ruiyang Qin, Jun Xia, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Peipei Zhou, Jingtong Hu, Yiyu Shi:
Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis. DAC 2024: 29:1-29:6 - [c16]Tingting Zhang, Mei Cao, Zhenge Jia, Jianbo Lu, Zhaoyan Shen, Dongxiao Yu, Mengying Zhao:
Federation-Paced Learning: Towards Efficient Federated Learning with Synchronized Pace. ECAI 2024: 2050-2057 - [c15]Yuanbo Guo, Zhenge Jia, Jingtong Hu, Yiyu Shi:
FairQuantize: Achieving Fairness Through Weight Quantization for Dermatological Disease Diagnosis. MICCAI (10) 2024: 329-338 - [c14]Jianwei Jia, Zhenge Jia, Omkar Phadke, Gihun Choe, Yiyu Shi, Shimeng Yu:
A Reconfigurable Bandpass Filter with Ferroelectric Devices for Intracardiac Electrograms Monitoring. MWSCAS 2024: 433-436 - [i10]Ruiyang Qin, Zheyu Yan, Dewen Zeng, Zhenge Jia, Dancheng Liu, Jianbo Liu, Zhi Zheng, Ningyuan Cao, Kai Ni, Jinjun Xiong, Yiyu Shi:
Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures. CoRR abs/2405.04700 (2024) - [i9]Ruiyang Qin, Dancheng Liu, Zheyu Yan, Zhaoxuan Tan, Zixuan Pan, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Jinjun Xiong, Yiyu Shi:
Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices. CoRR abs/2406.03777 (2024) - [i8]Zixuan Pan, Jun Xia, Zheyu Yan, Guoyue Xu, Yawen Wu, Zhenge Jia, Jianxu Chen, Yiyu Shi:
Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective. CoRR abs/2408.08228 (2024) - [i7]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:
A 10.60 μW 150 GOPS Mixed-Bit-Width Sparse CNN Accelerator for Life-Threatening Ventricular Arrhythmia Detection. CoRR abs/2410.17395 (2024) - 2023
- [j6]Zhenge Jia, Dawei Li, Xiaowei Xu, Na Li, Feng Hong, Lichuan Ping, Yiyu Shi:
Life-threatening ventricular arrhythmia detection challenge in implantable cardioverter-defibrillators. Nat. Mac. Intell. 5(5): 554-555 (2023) - [j5]Zhenge Jia, Jianxu Chen, Xiaowei Xu, John N. Kheir, Jingtong Hu, Han Xiao, Sui Peng, Xiaobo Sharon Hu, Danny Ziyi Chen, Yiyu Shi:
The importance of resource awareness in artificial intelligence for healthcare. Nat. Mac. Intell. 5(7): 687-698 (2023) - [c13]Zhenge Jia, Yiyu Shi:
Demo: Addressing Inter-Intra Patient Variability via Personalized Meta-Federated Learning in IoT-Enabled Health Monitoring. CHASE 2023: 175-176 - [i6]Tsung-Han Kuo, Zhenge Jia, Tei-Wei Kuo, Jingtong Hu:
BiTrackGAN: Cascaded CycleGANs to Constraint Face Aging. CoRR abs/2304.11313 (2023) - [i5]Zhenge Jia, Dawei Li, Cong Liu, Liqi Liao, Xiaowei Xu, Lichuan Ping, Yiyu Shi:
TinyML Design Contest for Life-Threatening Ventricular Arrhythmia Detection. CoRR abs/2305.05105 (2023) - [i4]Ruiyang Qin, Jun Xia, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Peipei Zhou, Jingtong Hu, Yiyu Shi:
Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis. CoRR abs/2311.12275 (2023) - 2022
- [j4]Zhenge Jia, Xiaowei Xu, Jingtong Hu, Yiyu Shi:
Low-power object-detection challenge on unmanned aerial vehicles. Nat. Mac. Intell. 4(12): 1265-1266 (2022) - [j3]Yawen Wu, Zhenge Jia, Fei Fang, Jingtong Hu:
Cooperative Communication Between Two Transiently Powered Sensor Nodes by Reinforcement Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(1): 76-90 (2022) - [j2]Zhenge Jia, Yiyu Shi, Jingtong Hu:
Personalized Neural Network for Patient-Specific Health Monitoring in IoT: A Metalearning Approach. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(12): 5394-5407 (2022) - [c12]Qing Lu, Zhenge Jia, Jingtong Hu, Yiyu Shi:
ICD-BAS: Detecting Ventricular Arrhythmia using Binary Architecture Search for Implantable Cardioverter Defibrillators. CHASE 2022: 111-117 - [c11]Kacper Wardega, Wenchao Li, Hyoseung Kim, Yawen Wu, Zhenge Jia, Jingtong Hu:
Opportunistic Communication with Latency Guarantees for Intermittently-Powered Devices. DATE 2022: 1093-1098 - [i3]Zhenge Jia, Yiyu Shi, Jingtong Hu, Lei Yang, Benjamin Nti:
Development of A Real-time POCUS Image Quality Assessment and Acquisition Guidance System. CoRR abs/2212.08624 (2022) - 2021
- [j1]Zhenge Jia, Yiyu Shi, Samir Saba, Jingtong Hu:
On-device Prior Knowledge Incorporated Learning for Personalized Atrial Fibrillation Detection. ACM Trans. Embed. Comput. Syst. 20(5s): 56:1-56:25 (2021) - [c10]Zhepeng Wang, Yawen Wu, Zhenge Jia, Yiyu Shi, Jingtong Hu:
Lightweight Run-Time Working Memory Compression for Deployment of Deep Neural Networks on Resource-Constrained MCUs. ASP-DAC 2021: 607-614 - [c9]Zhenge Jia, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu:
Enabling On-Device Model Personalization for Ventricular Arrhythmias Detection by Generative Adversarial Networks. DAC 2021: 163-168 - [c8]Zhenge Jia, Zhepeng Wang, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu:
Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs. IJCAI 2021: 2606-2613 - 2020
- [c7]Yawen Wu, Zhepeng Wang, Zhenge Jia, Yiyu Shi, Jingtong Hu:
Intermittent Inference with Nonuniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices. DAC 2020: 1-6 - [c6]Keni Qiu, Mengying Zhao, Zhenge Jia, Jingtong Hu, Chun Jason Xue, Kaisheng Ma, Xueqing Li, Yongpan Liu, Vijaykrishnan Narayanan:
Design Insights of Non-volatile Processors and Accelerators in Energy Harvesting Systems. ACM Great Lakes Symposium on VLSI 2020: 369-374 - [c5]Zhenge Jia, Zhepeng Wang, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu:
Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical loT Systems. ICCAD 2020: 38:1-38:9 - [i2]Yawen Wu, Zhepeng Wang, Zhenge Jia, Yiyu Shi, Jingtong Hu:
Intermittent Inference with Nonuniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices. CoRR abs/2004.11293 (2020) - [i1]Zhenge Jia, Zhepeng Wang, Feng Hong, Lichuan Ping, Yiyu Shi, Jingtong Hu:
Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical IoT Systems. CoRR abs/2008.08060 (2020)
2010 – 2019
- 2019
- [c4]Yawen Wu, Zhenge Jia, Fei Fang, Jingtong Hu:
Cooperative communication between two transiently powered sensors by reinforcement learning: work-in-progress. CODES+ISSS 2019: 15:1-15:2 - [c3]Zhenge Jia, Yawen Wu, Jingtong Hu:
Q-learning based routing for transiently powered wireless sensor network: work-in-progress. CODES+ISSS 2019: 16:1-16:2 - [c2]Mimi Xie, Yawen Wu, Zhenge Jia, Jingtong Hu:
In-memory AES Implementation for Emerging Non-Volatile Main Memory. ISVLSI 2019: 103 - 2018
- [c1]Yawen Wu, Yinan Sun, Zhenge Jia, Lefan Zhang, Yongpan Liu, Jingtong Hu:
Prototyping Energy Harvesting Powered Systems with Nonvolatile Processor (Invited Paper). RSP 2018: 49-55
Coauthor Index
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