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2020 – today
- 2023
[j74]Sébastien Ollivier
, Sheng Li, Yue Tang, Stephen Cahoon, Ryan Caginalp, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones:
Sustainable AI Processing at the Edge. IEEE Micro 43(1): 19-28 (2023)- [j73]Sébastien Ollivier, Stephen Longofono, Prayash Dutta, Jingtong Hu, Sanjukta Bhanja, Alex K. Jones:
Toward Comprehensive Shifting Fault Tolerance for Domain-Wall Memories With PIETT. IEEE Trans. Computers 72(4): 1095-1109 (2023) - [j72]Tongda Wu, Kaisheng Ma, Jingtong Hu, Jason Xue, Jinyang Li, Xin Shi, Huazhong Yang, Yongpan Liu:
Reliable and Efficient Parallel Checkpointing Framework for Nonvolatile Processor With Concurrent Peripherals. IEEE Trans. Circuits Syst. I Regul. Pap. 70(1): 228-240 (2023) - [c104]Qing Lu, Weiwen Jiang, Xiaowei Xu, Jingtong Hu, Yiyu Shi:
Quantization through Search: A Novel Scheme to Quantize Convolutional Neural Networks in Finite Weight Space. ASP-DAC 2023: 378-383 - [c103]Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Yubo Du, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex K. Jones, Jingtong Hu, Deming Chen, Jason Cong, Peipei Zhou:
CHARM: Composing Heterogeneous AcceleRators for Matrix Multiply on Versal ACAP Architecture. FPGA 2023: 153-164 - [i35]Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Yubo Du, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex K. Jones, Jingtong Hu, Deming Chen, Jason Cong, Peipei Zhou:
CHARM: Composing Heterogeneous Accelerators for Matrix Multiply on Versal ACAP Architecture. CoRR abs/2301.02359 (2023) - [i34]Tsung-Han Kuo, Zhenge Jia, Tei-Wei Kuo, Jingtong Hu:
BiTrackGAN: Cascaded CycleGANs to Constraint Face Aging. CoRR abs/2304.11313 (2023) - 2022
- [j71]Guangyu Sun, Liang Shi, Jingtong Hu:
Editorial for the special issue on memory architectures and systems for modern applications. CCF Trans. High Perform. Comput. 4(4): 367-369 (2022) - [j70]Yawen Wu, Dewen Zeng, Zhepeng Wang, Yiyu Shi, Jingtong Hu:
Distributed contrastive learning for medical image segmentation. Medical Image Anal. 81: 102564 (2022) - [j69]Sébastien Ollivier, Xinyi Zhang, Yue Tang, Chayanika Choudhuri, Jingtong Hu, Alex K. Jones:
Pod-racing: bulk-bitwise to floating-point compute in racetrack memory for machine learning at the edge. IEEE Micro 42(6): 9-16 (2022) - [j68]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) - [j67]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) - [j66]Yue Tang, Yawen Wu, Peipei Zhou, Jingtong Hu:
Enabling Weakly Supervised Temporal Action Localization From On-Device Learning of the Video Stream. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3910-3921 (2022) - [j65]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) - [j64]Jingtong Hu, Qi Zhu, Susmit Jha:
Introduction to the Special Issue on Artificial Intelligence and Cyber-Physical Systems - Part 2. ACM Trans. Cyber Phys. Syst. 6(2): 10:1-10:3 (2022) - [j63]Yue Tang, Xinyi Zhang, Peipei Zhou, Jingtong Hu:
EF-Train: Enable Efficient On-device CNN Training on FPGA through Data Reshaping for Online Adaptation or Personalization. ACM Trans. Design Autom. Electr. Syst. 27(5): 49:1-49:36 (2022) - [j62]Yuyang Li, Yawen Wu, Xincheng Zhang, Jingtong Hu, Inhee Lee:
Energy-Aware Adaptive Multi-Exit Neural Network Inference Implementation for a Millimeter-Scale Sensing System. IEEE Trans. Very Large Scale Integr. Syst. 30(7): 849-859 (2022) - [c102]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 - [c101]Yi Sheng, Junhuan Yang, Yawen Wu, Kevin Mao, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang:
The larger the fairer?: small neural networks can achieve fairness for edge devices. DAC 2022: 163-168 - [c100]Xinyi Zhang, Cong Hao, Peipei Zhou, Alex K. Jones, Jingtong Hu:
H2H: heterogeneous model to heterogeneous system mapping with computation and communication awareness. DAC 2022: 601-606 - [c99]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 - [c98]Jingtong Hu:
Session details: Session 3B: VLSI for Machine Learning and Artifical Intelligence 1. ACM Great Lakes Symposium on VLSI 2022 - [c97]Jingtong Hu:
Session details: Session 4B: VLSI for Machine Learning and Artifical Intelligence 2. ACM Great Lakes Symposium on VLSI 2022 - [c96]Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu:
Decentralized Unsupervised Learning of Visual Representations. IJCAI 2022: 2326-2333 - [c95]Yawen Wu, Jingtong Hu:
Towards Independent On-device Artificial Intelligence. ISVLSI 2022: 351 - [c94]Qing Lu, Weiwen Jiang, Meng Jiang, Jingtong Hu, Yiyu Shi:
Hardware/Software Co-Exploration for Graph Neural Architectures on FPGAs. ISVLSI 2022: 358-362 - [c93]Yawen Wu, Dewen Zeng, Xiaowei Xu, Yiyu Shi, Jingtong Hu:
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis. MICCAI (1) 2022: 743-753 - [c92]Sébastien Ollivier, Stephen Longofono, Prayash Dutta, Jingtong Hu, Sanjukta Bhanja, Alex K. Jones:
CORUSCANT: Fast Efficient Processing-in-Racetrack Memories. MICRO 2022: 784-798 - [i33]Yawen Wu, Zhepeng Wang, Dewen Zeng, Yiyu Shi, Jingtong Hu:
Learn by Challenging Yourself: Contrastive Visual Representation Learning with Hard Sample Generation. CoRR abs/2202.06464 (2022) - [i32]Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina J. James, Yiyu Shi, Jingtong Hu:
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning. CoRR abs/2202.07470 (2022) - [i31]Yue Tang, Xinyi Zhang, Peipei Zhou, Jingtong Hu:
EF-Train: Enable Efficient On-device CNN Training on FPGA Through Data Reshaping for Online Adaptation or Personalization. CoRR abs/2202.10935 (2022) - [i30]Yi Sheng, Junhuan Yang, Yawen Wu, Kevin Mao, Yiyu Shi, Jingtong Hu, Weiwen Jiang, Lei Yang:
The Larger The Fairer? Small Neural Networks Can Achieve Fairness for Edge Devices. CoRR abs/2202.11317 (2022) - [i29]Yawen Wu, Dewen Zeng, Xiaowei Xu, Yiyu Shi, Jingtong Hu:
FairPrune: Achieving Fairness Through Pruning for Dermatological Disease Diagnosis. CoRR abs/2203.02110 (2022) - [i28]Yawen Wu, Dewen Zeng, Zhepeng Wang, Yiyu Shi, Jingtong Hu:
Federated Contrastive Learning for Volumetric Medical Image Segmentation. CoRR abs/2204.10983 (2022) - [i27]Sébastien Ollivier, Xinyi Zhang, Yue Tang, Chayanika Choudhuri, Jingtong Hu, Alex K. Jones:
FPIRM: Floating-point Processing in Racetrack Memories. CoRR abs/2204.13788 (2022) - [i26]Xinyi Zhang, Cong Hao, Peipei Zhou, Alex K. Jones, Jingtong Hu:
H2H: Heterogeneous Model to Heterogeneous System Mapping with Computation and Communication Awareness. CoRR abs/2204.13852 (2022) - [i25]Sébastien Ollivier, Sheng Li, Yue Tang, Chayanika Chaudhuri, Peipei Zhou, Xulong Tang, Jingtong Hu, Alex K. Jones:
Sustainable AI Processing at the Edge. CoRR abs/2207.01209 (2022) - [i24]Yawen Wu, Dewen Zeng, Zhepeng Wang, Yiyu Shi, Jingtong Hu:
Distributed Contrastive Learning for Medical Image Segmentation. CoRR abs/2208.03808 (2022) - [i23]Gelei Xu, Yawen Wu, Jingtong Hu, Yiyu Shi:
Achieving Fairness in Dermatological Disease Diagnosis through Automatic Weight Adjusting Federated Learning and Personalization. CoRR abs/2208.11187 (2022) - [i22]Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina J. James, Yiyu Shi, Jingtong Hu:
Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis. CoRR abs/2208.11278 (2022) - [i21]Yue Tang, Yawen Wu, Peipei Zhou, Jingtong Hu:
Enabling Weakly-Supervised Temporal Action Localization from On-Device Learning of the Video Stream. CoRR abs/2208.12673 (2022) - [i20]Jiahe Shi, Yawen Wu, Dewen Zeng, Jingtong Hu, Yiyu Shi:
FedCoCo: A Memory Efficient Federated Self-supervised Framework for On-Device Visual Representation Learning. CoRR abs/2212.01006 (2022) - [i19]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
- [j61]Xiaowei Xu, Xinyi Zhang, Bei Yu, Xiaobo Sharon Hu, Christopher Rowen, Jingtong Hu, Yiyu Shi:
DAC-SDC Low Power Object Detection Challenge for UAV Applications. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 392-403 (2021) - [j60]Weiwen Jiang, Qiuwen Lou, Zheyu Yan, Lei Yang, Jingtong Hu, Xiaobo Sharon Hu, Yiyu Shi:
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators. IEEE Trans. Computers 70(4): 595-605 (2021) - [j59]Jingtong Hu, Qi Zhu, Susmit Jha:
Introduction to the Special Issue on Artificial Intelligence and Cyber-Physical Systems: Part 1. ACM Trans. Cyber Phys. Syst. 5(4): 33:1-33:3 (2021) - [j58]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) - [j57]Xinyi Zhang, Yawen Wu, Peipei Zhou, Xulong Tang, Jingtong Hu:
Algorithm-hardware Co-design of Attention Mechanism on FPGA Devices. ACM Trans. Embed. Comput. Syst. 20(5s): 71:1-71:24 (2021) - [c91]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 - [c90]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 - [c89]Yawen Wu, Zhepeng Wang, Dewen Zeng, Yiyu Shi, Jingtong Hu:
Enabling On-Device Self-Supervised Contrastive Learning with Selective Data Contrast. DAC 2021: 655-660 - [c88]Dewen Zeng, Yukun Ding, Haiyun Yuan, Meiping Huang, Xiaowei Xu, Jian Zhuang, Jingtong Hu, Yiyu Shi:
Invited: Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography. DAC 2021: 1339-1342 - [c87]Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina J. James, Yiyu Shi, Jingtong Hu:
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning (Invited Paper). ICCAD 2021: 1-7 - [c86]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 - [c85]Yuyang Li, Yawen Wu, Xincheng Zhang, Ehab Hamed, Jingtong Hu, Inhee Lee:
Developing a Miniature Energy-Harvesting-Powered Edge Device with Multi-Exit Neural Network. ISCAS 2021: 1-5 - [c84]Dewen Zeng, Yawen Wu, Xinrong Hu, Xiaowei Xu, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu, Yiyu Shi:
Positional Contrastive Learning for Volumetric Medical Image Segmentation. MICCAI (2) 2021: 221-230 - [c83]Yawen Wu, Dewen Zeng, Zhepeng Wang, Yiyu Shi, Jingtong Hu:
Federated Contrastive Learning for Volumetric Medical Image Segmentation. MICCAI (3) 2021: 367-377 - [i18]Yawen Wu, Zhepeng Wang, Dewen Zeng, Yiyu Shi, Jingtong Hu:
Enabling On-Device Self-Supervised Contrastive Learning With Selective Data Contrast. CoRR abs/2106.03796 (2021) - [i17]Dewen Zeng, Yawen Wu, Xinrong Hu, Xiaowei Xu, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu, Yiyu Shi:
Positional Contrastive Learning for Volumetric Medical Image Segmentation. CoRR abs/2106.09157 (2021) - [i16]Sébastien Ollivier, Stephen Longofono, Prayash Dutta, Jingtong Hu, Sanjukta Bhanja, Alex K. Jones:
PIRM: Processing In Racetrack Memories. CoRR abs/2108.01202 (2021) - [i15]Dewen Zeng, Yukun Ding, Haiyun Yuan, Meiping Huang, Xiaowei Xu, Jian Zhuang, Jingtong Hu, Yiyu Shi:
Hardware-aware Real-time Myocardial Segmentation Quality Control in Contrast Echocardiography. CoRR abs/2109.06909 (2021) - [i14]Yawen Wu, Zhepeng Wang, Dewen Zeng, Meng Li, Yiyu Shi, Jingtong Hu:
Distributed Unsupervised Visual Representation Learning with Fused Features. CoRR abs/2111.10763 (2021) - 2020
- [j56]Xinyi Zhang, Clay Patterson, Yongpan Liu, Chengmo Yang, Chun Jason Xue, Jingtong Hu:
Low Overhead Online Data Flow Tracking for Intermittently Powered Non-Volatile FPGAs. ACM J. Emerg. Technol. Comput. Syst. 16(3): 26:1-26:20 (2020) - [j55]Yawen Wu, Zhepeng Wang, Yiyu Shi, Jingtong Hu:
Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3445-3457 (2020) - [j54]Weiwen Jiang, Lei Yang, Sakyasingha Dasgupta, Jingtong Hu, Yiyu Shi:
Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search With Hot Start. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 4154-4165 (2020) - [j53]Weiwen Jiang, Lei Yang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Shouzhen Gu, Sakyasingha Dasgupta, Yiyu Shi, Jingtong Hu:
Hardware/Software Co-Exploration of Neural Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4805-4815 (2020) - [j52]Ke Liu, Mengying Zhao, Lei Ju, Zhiping Jia, Jingtong Hu, Chun Jason Xue:
Applying Multiple Level Cell to Non-volatile FPGAs. ACM Trans. Embed. Comput. Syst. 19(4): 27:1-27:22 (2020) - [j51]Yan Wang, Jinhui Liu, Jingtong Hu:
Communication-Aware Task Scheduling for Energy-Harvesting Nonvolatile Processors. IEEE Trans. Very Large Scale Integr. Syst. 28(8): 1796-1806 (2020) - [c82]Lei Yang, Weiwen Jiang, Weichen Liu, Edwin H.-M. Sha, Yiyu Shi, Jingtong Hu:
Co-Exploring Neural Architecture and Network-on-Chip Design for Real-Time Artificial Intelligence. ASP-DAC 2020: 85-90 - [c81]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 - [c80]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 - [c79]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 - [c78]Dewen Zeng, Weiwen Jiang, Tianchen Wang, Xiaowei Xu, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu, Yiyu Shi:
Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation. ICCAD 2020: 40:1-40:8 - [c77]Xinyi Zhang, Weiwen Jiang, Jingtong Hu:
Achieving Full Parallelism in LSTM via a Unified Accelerator Design. ICCD 2020: 469-477 - [i13]Xinyi Zhang, Clay Patterson, Yongpan Liu, Chengmo Yang, Chun Jason Xue, Jingtong Hu:
Low Overhead Online Data Flow Tracking for Intermittently Powered Non-volatile FPGAs. CoRR abs/2002.02094 (2020) - [i12]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) - [i11]Yawen Wu, Zhepeng Wang, Yiyu Shi, Jingtong Hu:
Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning. CoRR abs/2007.03213 (2020) - [i10]Weiwen Jiang, Lei Yang, Sakyasingha Dasgupta, Jingtong Hu, Yiyu Shi:
Standing on the Shoulders of Giants: Hardware and Neural Architecture Co-Search with Hot Start. CoRR abs/2007.09087 (2020) - [i9]Dewen Zeng, Weiwen Jiang, Tianchen Wang, Xiaowei Xu, Haiyun Yuan, Meiping Huang, Jian Zhuang, Jingtong Hu, Yiyu Shi:
Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation. CoRR abs/2008.07071 (2020) - [i8]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
- [j50]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) - [j49]Yuan-Hao Chang, Jingtong Hu, Mehdi Baradaran Tahoori, Ronald F. DeMara:
Guest Editorial: IEEE Transactions on Computers Special Section on Emerging Non-Volatile Memory Technologies: From Devices to Architectures and Systems. IEEE Trans. Computers 68(8): 1111-1113 (2019) - [j48]Fuyang Li, Keni Qiu, Mengying Zhao, Jingtong Hu, Yongpan Liu, Yong Guan, Chun Jason Xue:
Checkpointing-Aware Loop Tiling for Energy Harvesting Powered Nonvolatile Processors. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(1): 15-28 (2019) - [j47]Weiwen Jiang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Lei Yang, Xianzhang Chen, Jingtong Hu:
On the Design of Time-Constrained and Buffer-Optimal Self-Timed Pipelines. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(8): 1515-1528 (2019) - [j46]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) - [j45]Weiwen Jiang, Edwin H.-M. Sha, Xinyi Zhang, Lei Yang, Qingfeng Zhuge, Yiyu Shi, Jingtong Hu:
Achieving Super-Linear Speedup across Multi-FPGA for Real-Time DNN Inference. ACM Trans. Embed. Comput. Syst. 18(5s): 67:1-67:23 (2019) - [j44]Chenchen Fu, Qiangqiang Liu, Peng Wu, Minming Li, Chun Jason Xue, Yingchao Zhao, Jingtong Hu, Song Han:
Real-Time Data Retrieval in Cyber-Physical Systems with Temporal Validity and Data Availability Constraints. IEEE Trans. Knowl. Data Eng. 31(9): 1779-1793 (2019) - [c76]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 - [c75]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 - [c74]Weiwen Jiang, Xinyi Zhang, Edwin Hsing-Mean Sha, Lei Yang, Qingfeng Zhuge, Yiyu Shi, Jingtong Hu:
Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search. DAC 2019: 5 - [c73]Weiwen Jiang, Xinyi Zhang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Lei Yang, Yiyu Shi, Jingtong Hu:
XFER: A Novel Design to Achieve Super-Linear Performance on Multiple FPGAs for Real-Time AI. FPGA 2019: 305 - [c72]Xinyi Zhang, Weiwen Jiang, Yiyu Shi, Jingtong Hu:
When Neural Architecture Search Meets Hardware Implementation: from Hardware Awareness to Co-Design. ISVLSI 2019: 25-30 - [c71]Mimi Xie, Yawen Wu, Zhenge Jia, Jingtong Hu:
In-memory AES Implementation for Emerging Non-Volatile Main Memory. ISVLSI 2019: 103 - [i7]Weiwen Jiang, Xinyi Zhang, Edwin Hsing-Mean Sha, Lei Yang, Qingfeng Zhuge, Yiyu Shi, Jingtong Hu:
Accuracy vs. Efficiency: Achieving Both through FPGA-Implementation Aware Neural Architecture Search. CoRR abs/1901.11211 (2019) - [i6]Weiwen Jiang, Lei Yang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Shouzhen Gu, Yiyu Shi, Jingtong Hu:
Hardware/Software Co-Exploration of Neural Architectures. CoRR abs/1907.04650 (2019) - [i5]Weiwen Jiang, Edwin Hsing-Mean Sha, Xinyi Zhang, Lei Yang, Qingfeng Zhuge, Yiyu Shi, Jingtong Hu:
Achieving Super-Linear Speedup across Multi-FPGA for Real-Time DNN Inference. CoRR abs/1907.08985 (2019) - [i4]Qing Lu, Weiwen Jiang, Xiaowei Xu, Yiyu Shi, Jingtong Hu:
On Neural Architecture Search for Resource-Constrained Hardware Platforms. CoRR abs/1911.00105 (2019) - [i3]Weiwen Jiang, Qiuwen Lou, Zheyu Yan, Lei Yang, Jingtong Hu, Xiaobo Sharon Hu, Yiyu Shi:
Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators. CoRR abs/1911.00139 (2019) - 2018
- [j43]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) - [j42]Weiwen Jiang, Edwin Hsing-Mean Sha, Qingfeng Zhuge, Lei Yang, Xianzhang Chen, Jingtong Hu:
Heterogeneous FPGA-Based Cost-Optimal Design for Timing-Constrained CNNs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(11): 2542-2554 (2018) - [j41]Lei Ju, Xiaojin Sui, Shiqing Li, Mengying Zhao, Chun Jason Xue, Jingtong Hu, Zhiping Jia:
NVM-Based FPGA Block RAM With Adaptive SLC-MLC Conversion. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(11): 2661-2672 (2018) - [j40]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) - [j39]Huizhang Luo, Qing Liu, Jingtong Hu, Qiao Li, Liang Shi, Qingfeng Zhuge, Edwin Hsing-Mean Sha:
Write Energy Reduction for PCM via Pumping Efficiency Improvement. ACM Trans. Storage 14(3): 27:1-27:21 (2018) - [j38]Jinyang Li, Yongpan Liu, Hehe Li, Zhe Yuan, Chenchen Fu, Jinshan Yue, Xiaoyu Feng, Chun Jason Xue, Jingtong Hu, Huazhong Yang:
PATH: Performance-Aware Task Scheduling for Energy-Harvesting Nonvolatile Processors. IEEE Trans. Very Large Scale Integr. Syst. 26(9): 1671-1684 (2018) - [j37]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) - [c70]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 - [c69]Xiaolong Ma, Yipeng Zhang, Geng Yuan, Ao Ren, Zhe Li, Jie Han, Jingtong Hu, Yanzhi Wang:
An area and energy efficient design of domain-wall memory-based deep convolutional neural networks using stochastic computing. ISQED 2018: 314-321 - [c68]Xinyi Zhang, Clay Patterson, Yongpan Liu, Chengmo Yang, Chun Jason Xue, Jingtong Hu:
Low Overhead Online Checkpoint for Intermittently Powered Non-volatile FPGAs. ISVLSI 2018: 238-244 - [c67]