Smart electric vehicle (ev) charging and grid integration apparatus and methods R Gadh, S Mal, S Prabhu, CC Chu, O Sheikh, CY Chung, L He, B Xiao, ... US Patent 9,026,347, 2015 | 1152 | 2015 |
Scaling for edge inference of deep neural networks X Xu, Y Ding, SX Hu, M Niemier, J Cong, Y Hu, Y Shi Nature Electronics 1 (4), 216-222, 2018 | 436 | 2018 |
Hardware/software co-exploration of neural architectures W Jiang, L Yang, EHM Sha, Q Zhuge, S Gu, S Dasgupta, Y Shi, J Hu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 179 | 2020 |
Accuracy vs. efficiency: Achieving both through fpga-implementation aware neural architecture search W Jiang, X Zhang, EHM Sha, L Yang, Q Zhuge, Y Shi, J Hu Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 175 | 2019 |
Co-exploration of neural architectures and heterogeneous asic accelerator designs targeting multiple tasks L Yang, Z Yan, M Li, H Kwon, L Lai, T Krishna, V Chandra, W Jiang, Y Shi 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 141 | 2020 |
Quantization of fully convolutional networks for accurate biomedical image segmentation X Xu, Q Lu, L Yang, S Hu, D Chen, Y Hu, Y Shi Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 121 | 2018 |
Semi-supervised contrastive learning for label-efficient medical image segmentation X Hu, D Zeng, X Xu, Y Shi Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 118 | 2021 |
Positional contrastive learning for volumetric medical image segmentation D Zeng, Y Wu, X Hu, X Xu, H Yuan, M Huang, J Zhuang, J Hu, Y Shi Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 103 | 2021 |
Device-circuit-architecture co-exploration for computing-in-memory neural accelerators W Jiang, Q Lou, Z Yan, L Yang, J Hu, XS Hu, Y Shi IEEE Transactions on Computers 70 (4), 595-605, 2020 | 95 | 2020 |
Achieving super-linear speedup across multi-fpga for real-time dnn inference W Jiang, EHM Sha, X Zhang, L Yang, Q Zhuge, Y Shi, J Hu ACM Transactions on Embedded Computing Systems (TECS) 18 (5s), 1-23, 2019 | 95 | 2019 |
Dac-sdc low power object detection challenge for uav applications X Xu, X Zhang, B Yu, XS Hu, C Rowen, J Hu, Y Shi IEEE transactions on pattern analysis and machine intelligence 43 (2), 392-403, 2019 | 95 | 2019 |
On neural architecture search for resource-constrained hardware platforms Q Lu, W Jiang, X Xu, Y Shi, J Hu arXiv preprint arXiv:1911.00105, 2019 | 93 | 2019 |
A co-design framework of neural networks and quantum circuits towards quantum advantage W Jiang, J Xiong, Y Shi Nature communications 12 (1), 579, 2021 | 91 | 2021 |
Thermal-aware cell and through-silicon-via co-placement for 3D ICs J Cong, G Luo, Y Shi Proceedings of the 48th Design Automation Conference, 670-675, 2011 | 89 | 2011 |
Standing on the shoulders of giants: Hardware and neural architecture co-search with hot start W Jiang, L Yang, S Dasgupta, J Hu, Y Shi IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 84 | 2020 |
Thermal via allocation for 3D ICs considering temporally and spatially variant thermal power H Yu, Y Shi, L He, T Karnik Proceedings of the 2006 international symposium on low power electronics and …, 2006 | 79 | 2006 |
On the efficacy of through-silicon-via inductors UR Tida, R Yang, C Zhuo, Y Shi IEEE Transactions on Very Large Scale Integration (VLSI) Systems 23 (7 …, 2014 | 77 | 2014 |
Energy-recycling blockchain with proof-of-deep-learning C Chenli, B Li, Y Shi, T Jung 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC …, 2019 | 76 | 2019 |
Demand-side management of domestic electric water heaters using approximate dynamic programming K Al-Jabery, Z Xu, W Yu, DC Wunsch, J Xiong, Y Shi IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2016 | 75 | 2016 |
A universal state-of-charge algorithm for batteries B Xiao, Y Shi, L He Proceedings of the 47th Design Automation Conference, 687-692, 2010 | 71 | 2010 |