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Mimi Xie
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Journal Articles
- 2024
- [j12]Wen Zhang, Chen Pan, Tao Liu, Jeff Jun Zhang, Mehdi Sookhak, Mimi Xie:
Intelligent Networking for Energy Harvesting Powered IoT Systems. ACM Trans. Sens. Networks 20(2): 45:1-45:31 (2024) - 2023
- [j11]Chen Pan, Wen Zhang, Yanzhi Wang, Mimi Xie:
ELIXIR: An Expedient Connection Paradigm for Self-Powered IoT Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3743-3756 (2023) - 2022
- [j10]Wen Zhang, Mimi Xie, Caleb Scott, Chen Pan:
Sparsity-Aware Intelligent Spatiotemporal Data Sensing for Energy Harvesting IoT System. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4492-4503 (2022) - 2019
- [j9]Mimi Xie, Chen Pan, Youtao Zhang, Jingtong Hu, Yongpan Liu, Chun Jason Xue:
A Novel STT-RAM-Based Hybrid Cache for Intermittently Powered Processors in IoT Devices. IEEE Micro 39(1): 24-32 (2019) - [j8]Chen Pan, Mimi Xie, Song Han, Zhi-Hong Mao, Jingtong Hu:
Modeling and Optimization for Self-powered Non-volatile IoT Edge Devices with Ultra-low Harvesting Power. ACM Trans. Cyber Phys. Syst. 3(3): 32:1-32:26 (2019) - 2018
- [j7]Chen Pan, Mimi Xie, Jingtong Hu:
ENZYME: An Energy-Efficient Transient Computing Paradigm for Ultralow Self-Powered IoT Edge Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(11): 2440-2450 (2018) - [j6]Mimi Xie, Chen Pan, Mengying Zhao, Yongpan Liu, Chun Jason Xue, Jingtong Hu:
Avoiding Data Inconsistency in Energy Harvesting Powered Embedded Systems. ACM Trans. Design Autom. Electr. Syst. 23(3): 38:1-38:25 (2018) - [j5]Mimi Xie, Shuangchen Li, Alvin Oliver Glova, Jingtong Hu, Yuan Xie:
Securing Emerging Nonvolatile Main Memory With Fast and Energy-Efficient AES In-Memory Implementation. IEEE Trans. Very Large Scale Integr. Syst. 26(11): 2443-2455 (2018) - 2017
- [j4]Mengying Zhao, Chenchen Fu, Zewei Li, Qing'an Li, Mimi Xie, Yongpan Liu, Jingtong Hu, Zhiping Jia, Chun Jason Xue:
Stack-Size Sensitive On-Chip Memory Backup for Self-Powered Nonvolatile Processors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36(11): 1804-1816 (2017) - [j3]Chen Pan, Mimi Xie, Chengmo Yang, Yiran Chen, Jingtong Hu:
Exploiting Multiple Write Modes of Nonvolatile Main Memory in Embedded Systems. ACM Trans. Embed. Comput. Syst. 16(4): 110:1-110:26 (2017) - 2016
- [j2]Chen Pan, Shouzhen Gu, Mimi Xie, Yongpan Liu, Chun Jason Xue, Jingtong Hu:
Wear-Leveling Aware Page Management for Non-Volatile Main Memory on Embedded Systems. IEEE Trans. Multi Scale Comput. Syst. 2(2): 129-142 (2016) - 2015
- [j1]Jingtong Hu, Mimi Xie, Chen Pan, Chun Jason Xue, Qingfeng Zhuge, Edwin Hsing-Mean Sha:
Low Overhead Software Wear Leveling for Hybrid PCM + DRAM Main Memory on Embedded Systems. IEEE Trans. Very Large Scale Integr. Syst. 23(4): 654-663 (2015)
Conference and Workshop Papers
- 2024
- [c33]Jishnu Banerjee, Sahidul Islam, Wei Wei, Chen Pan, Mimi Xie:
Autotile: Autonomous Task-tiling for Deep Inference on Battery-less Embedded System. ACM Great Lakes Symposium on VLSI 2024: 323-327 - [c32]Sahidul Islam, Seth Klupka, Ramin Mohammadi, Yu-Fang Jin, Mimi Xie:
Deep Learning Based IoT System for Real-time Traffic Risk Notifications. ISQED 2024: 1-6 - [c31]Wei Wei, Jishnu Banerjee, Sahidul Islam, Chen Pan, Mimi Xie:
Energy-aware Incremental OTA Update for Flash-based Batteryless IoT Devices. ISVLSI 2024: 51-56 - 2023
- [c30]Yuntong Zhang, Jingye Xu, Mimi Xie, Dakai Zhu, Houbing Song, Wei Wang:
Efficient and Direct Inference of Heart Rate Variability using Both Signal Processing and Machine Learning. CHASE 2023: 102-113 - [c29]Shaoyi Huang, Bowen Lei, Dongkuan Xu, Hongwu Peng, Yue Sun, Mimi Xie, Caiwen Ding:
Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off. DAC 2023: 1-6 - [c28]Ya-sine Agrignan, Shanglin Zhou, Jun Bai, Sahidul Islam, Sheida Nabavi, Mimi Xie, Caiwen Ding:
A Deep Learning Approach for Ventricular Arrhythmias Classification using Microcontroller. ISQED 2023: 1-5 - [c27]Wei Wang, Kathy B. Ewoldt, Mimi Xie, Alberto M. Mestas-Nuñez, Sean Soderman, Jeffrey Wang:
Virtual Summer Camp for High School Students with Disabilities - An Experience Report. SIGCSE (1) 2023: 458-464 - 2022
- [c26]Shaoyi Huang, Dongkuan Xu, Ian En-Hsu Yen, Yijue Wang, Sung-En Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Sanguthevar Rajasekaran, Hang Liu, Caiwen Ding:
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm. ACL (1) 2022: 190-200 - [c25]Wen Zhang, Tao Liu, Mimi Xie, Longzhuang Li, Dulal Kar, Chen Pan:
Energy Harvesting Aware Multi-Hop Routing Policy in Distributed IoT System Based on Multi-Agent Reinforcement Learning. ASP-DAC 2022: 562-567 - [c24]Wen Zhang, Jeff Zhang, Mimi Xie, Tao Liu, Wenlu Wang, Chen Pan:
M2M-Routing: Environmental Adaptive Multi-agent Reinforcement Learning based Multi-hop Routing Policy for Self-Powered IoT Systems. DATE 2022: 316-321 - [c23]Sahidul Islam, Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie:
Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices. DATE 2022: 921-926 - [c22]Yuntong Zhang, Jingye Xu, Mimi Xie, Wei Wang, Keying Ye, Jing Wang, Dakai Zhu:
PPG-based Heart Rate Estimation with Efficient Sensor Sampling and Learning Models. HPCC/DSS/SmartCity/DependSys 2022: 1971-1978 - [c21]Sahidul Islam, Shanglin Zhou, Ran Ran, Yufang Jin, Wujie Wen, Caiwen Ding, Mimi Xie:
EVE: Environmental Adaptive Neural Network Models for Low-Power Energy Harvesting System. ICCAD 2022: 35:1-35:9 - [c20]Shaoyi Huang, Ning Liu, Yueying Liang, Hongwu Peng, Hongjia Li, Dongkuan Xu, Mimi Xie, Caiwen Ding:
An Automatic and Efficient BERT Pruning for Edge AI Systems. ISQED 2022: 1-6 - [c19]Wei Wei, Sahidul Islam, Jishnu Banerjee, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie:
An Intermittent OTA Approach to Update the DL Weights on Energy Harvesting Devices. ISQED 2022: 1-6 - 2021
- [c18]Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding:
Binary Complex Neural Network Acceleration on FPGA : (Invited Paper). ASAP 2021: 85-92 - [c17]Jishnu Banerjee, Sahidul Islam, Wei Wei, Chen Pan, Dakai Zhu, Mimi Xie:
Memory-aware Efficient Deep Learning Mechanism for IoT Devices. ASAP 2021: 187-194 - [c16]Shanglin Zhou, Mimi Xie, Yufang Jin, Fei Miao, Caiwen Ding:
An End-to-end Multi-task Object Detection using Embedded GPU in Autonomous Driving. ISQED 2021: 122-128 - [c15]Wen Zhang, Tao Liu, Mimi Xie, Jeff Jun Zhang, Chen Pan:
SAC: A Novel Multi-hop Routing Policy in Hybrid Distributed IoT System based on Multi-agent Reinforcement Learning. ISQED 2021: 129-134 - 2020
- [c14]Shyamala Palanisamy, Mimi Xie:
Comparative Study of Persistently Secure Non-Volatile Processors Towards Designing Secure IoT Devices. IGSC (Workshops) 2020: 1-8 - [c13]Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding:
FTRANS: energy-efficient acceleration of transformers using FPGA. ISLPED 2020: 175-180 - 2019
- [c12]Mimi Xie, Yawen Wu, Zhenge Jia, Jingtong Hu:
In-memory AES Implementation for Emerging Non-Volatile Main Memory. ISVLSI 2019: 103 - 2018
- [c11]Mimi Xie, Shuangchen Li, Alvin Oliver Glova, Jingtong Hu, Yuangang Wang, Yuan Xie:
AIM: Fast and energy-efficient AES in-memory implementation for emerging non-volatile main memory. DATE 2018: 625-628 - 2017
- [c10]Chen Pan, Mimi Xie, Yongpan Liu, Yanzhi Wang, Chun Jason Xue, Yuangang Wang, Yiran Chen, Jingtong Hu:
A lightweight progress maximization scheduler for non-volatile processor under unstable energy harvesting. LCTES 2017: 101-110 - [c9]Chen Pan, Mimi Xie, Jingtong Hu:
Maximize energy utilization for ultra-low energy harvesting powered embedded systems. RTCSA 2017: 1-6 - 2016
- [c8]Mimi Xie, Mengying Zhao, Chen Pan, Hehe Li, Yongpan Liu, Youtao Zhang, Chun Jason Xue, Jingtong Hu:
Checkpoint aware hybrid cache architecture for NV processor in energy harvesting powered systems. CODES+ISSS 2016: 22:1-22:10 - 2015
- [c7]Mimi Xie, Chen Pan, Jingtong Hu, Chengmo Yang, Yiran Chen:
Checkpoint-aware instruction scheduling for nonvolatile processor with multiple functional units. ASP-DAC 2015: 316-321 - [c6]Mimi Xie, Mengying Zhao, Chen Pan, Jingtong Hu, Yongpan Liu, Chun Jason Xue:
Fixing the broken time machine: consistency-aware checkpointing for energy harvesting powered non-volatile processor. DAC 2015: 184:1-184:6 - [c5]Mengying Zhao, Qing'an Li, Mimi Xie, Yongpan Liu, Jingtong Hu, Chun Jason Xue:
Software assisted non-volatile register reduction for energy harvesting based cyber-physical system. DATE 2015: 567-572 - [c4]Chen Pan, Mimi Xie, Chengmo Yang, Zili Shao, Jingtong Hu:
Nonvolatile main memory aware garbage collection in high-level language virtual machine. EMSOFT 2015: 197-206 - 2014
- [c3]Chen Pan, Mimi Xie, Jingtong Hu, Yiran Chen, Chengmo Yang:
3M-PCM: Exploiting multiple write modes MLC phase change main memory in embedded systems. CODES+ISSS 2014: 33:1-33:10 - [c2]Chen Pan, Mimi Xie, Jingtong Hu, Meikang Qiu, Qingfeng Zhuge:
Wear-leveling for PCM main memory on embedded system via page management and process scheduling. RTCSA 2014: 1-9 - [c1]Mimi Xie, Chen Pan, Jingtong Hu, Chun Jason Xue, Qingfeng Zhuge:
Non-volatile registers aware instruction selection for embedded systems. RTCSA 2014: 1-9
Informal and Other Publications
- 2024
- [i11]Wei Wei, Jishnu Banerjee, Sahidul Islam, Chen Pan, Mimi Xie:
Energy-aware Incremental OTA Update for Flash-based Batteryless IoT Devices. CoRR abs/2406.12189 (2024) - 2023
- [i10]Yuntong Zhang, Jingye Xu, Mimi Xie, Wei Wang, Keying Ye, Jing Wang, Dakai Zhu:
PPG-based Heart Rate Estimation with Efficient Sensor Sampling and Learning Models. CoRR abs/2303.13636 (2023) - [i9]Yuntong Zhang, Jingye Xu, Mimi Xie, Dakai Zhu, Houbing Song, Wei Wang:
Efficient and Direct Inference of Heart Rate Variability using Both Signal Processing and Machine Learning. CoRR abs/2303.13637 (2023) - 2022
- [i8]Wen Zhang, Tao Liu, Mimi Xie, Longzhuang Li, Dulal Kar, Chen Pan:
Energy Harvesting Aware Multi-hop Routing Policy in Distributed IoT System Based on Multi-agent Reinforcement Learning. CoRR abs/2203.11313 (2022) - [i7]Shaoyi Huang, Ning Liu, Yueying Liang, Hongwu Peng, Hongjia Li, Dongkuan Xu, Mimi Xie, Caiwen Ding:
An Automatic and Efficient BERT Pruning for Edge AI Systems. CoRR abs/2206.10461 (2022) - [i6]Sahidul Islam, Shanglin Zhou, Ran Ran, Yufang Jin, Wujie Wen, Caiwen Ding, Mimi Xie:
EVE: Environmental Adaptive Neural Network Models for Low-power Energy Harvesting System. CoRR abs/2207.09258 (2022) - [i5]Shaoyi Huang, Bowen Lei, Dongkuan Xu, Hongwu Peng, Yue Sun, Mimi Xie, Caiwen Ding:
Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off. CoRR abs/2211.16667 (2022) - 2021
- [i4]Hongwu Peng, Shanglin Zhou, Scott Weitze, Jiaxin Li, Sahidul Islam, Tong Geng, Ang Li, Wei Zhang, Minghu Song, Mimi Xie, Hang Liu, Caiwen Ding:
Binary Complex Neural Network Acceleration on FPGA. CoRR abs/2108.04811 (2021) - [i3]Shaoyi Huang, Dongkuan Xu, Ian En-Hsu Yen, Sung-En Chang, Bingbing Li, Shiyang Chen, Mimi Xie, Hang Liu, Caiwen Ding:
Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm. CoRR abs/2110.08190 (2021) - [i2]Sahidul Islam, Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie:
Enabling Super-Fast Deep Learning on Tiny Energy-Harvesting IoT Devices. CoRR abs/2111.14051 (2021) - 2020
- [i1]Bingbing Li, Santosh Pandey, Haowen Fang, Yanjun Lyv, Ji Li, Jieyang Chen, Mimi Xie, Lipeng Wan, Hang Liu, Caiwen Ding:
FTRANS: Energy-Efficient Acceleration of Transformers using FPGA. CoRR abs/2007.08563 (2020)
Coauthor Index
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last updated on 2024-10-07 21:07 CEST by the dblp team
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