| PipeCNN: An OpenCL-based open-source FPGA accelerator for convolution neural networks D Wang, K Xu, D Jiang 2017 International Conference on Field Programmable Technology (ICFPT), 279-282, 2017 | 99 | 2017 |
| Sparse-YOLO: Hardware/software co-design of an FPGA accelerator for YOLOv2 Z Wang, K Xu, S Wu, L Liu, L Liu, D Wang IEEE Access 8, 116569-116585, 2020 | 82 | 2020 |
| PipeCNN: An OpenCL-based FPGA accelerator for large-scale convolution neuron networks D Wang, J An, K Xu arXiv preprint arXiv:1611.02450, 2016 | 48 | 2016 |
| An energy-efficient coarse-grained reconfigurable processing unit for multiple-standard video decoding L Liu, D Wang, M Zhu, Y Wang, S Yin, P Cao, J Yang, S Wei IEEE Transactions on Multimedia 17 (10), 1706-1720, 2015 | 48 | 2015 |
| GenExp: Multi-objective pruning for deep neural network based on genetic algorithm K Xu, D Zhang, J An, L Liu, L Liu, D Wang Neurocomputing 451, 81-94, 2021 | 39 | 2021 |
| An energy-efficient coarse-grained dynamically reconfigurable fabric for multiple-standard video decoding applications L Liu, C Deng, D Wang, M Zhu, S Yin, P Cao, S Wei Proceedings of the IEEE 2013 Custom Integrated Circuits Conference, 1-4, 2013 | 38 | 2013 |
| ABM-SpConv: A novel approach to FPGA-based acceleration of convolutional neural network inference D Wang, K Xu, Q Jia, S Ghiasi Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 34 | 2019 |
| A dedicated hardware accelerator for real-time acceleration of YOLOv2 K Xu, X Wang, X Liu, C Cao, H Li, H Peng, D Wang Journal of Real-Time Image Processing 18, 481-492, 2021 | 31 | 2021 |
| Design of high-throughput fixed-point complex reciprocal/square-root unit D Wang, MD Ercegovac, N Zheng IEEE Transactions on Circuits and Systems II: Express Briefs 57 (8), 627-631, 2010 | 30 | 2010 |
| DSP-efficient hardware acceleration of convolutional neural network inference on FPGAs D Wang, K Xu, J Guo, S Ghiasi IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 28 | 2020 |
| Complex division and square-root using CORDIC B Yang, D Wang, L Liu 2012 2nd International Conference on Consumer Electronics, Communications …, 2012 | 28 | 2012 |
| SimRPU: A simulation environment for reconfigurable architecture exploration L Liu, D Wang, S Yin, Y Chen, M Zhu, S Wei IEEE Transactions on Very Large Scale Integration (VLSI) Systems 22 (12 …, 2014 | 24 | 2014 |
| Fast and accurate object detection in remote sensing images based on lightweight deep neural network L Lang, K Xu, Q Zhang, D Wang Sensors 21 (16), 5460, 2021 | 23 | 2021 |
| Adaptive semi-blind channel estimation for massive MIMO systems F Xu, Y Xiao, D Wang 2014 12th International Conference on Signal Processing (ICSP), 1698-1702, 2014 | 19 | 2014 |
| Target attention deep neural network for infrared image enhancement D Wang, R Lai, J Guan Infrared Physics & Technology 115, 103690, 2021 | 17 | 2021 |
| A scalable OpenCL-based FPGA accelerator for YOLOv2 K Xu, X Wang, D Wang 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom …, 2019 | 17 | 2019 |
| A radix-8 complex divider for FPGA implementation D Wang, N Zheng, MD Ercegovac 2009 International Conference on Field Programmable Logic and Applications …, 2009 | 16 | 2009 |
| -Friendly Points: A Table-Based Method to Evaluate Trigonometric Function D Wang, JM Muller, N Brisebarre, MD Ercegovac IEEE Transactions on Circuits and Systems II: Express Briefs 61 (9), 711-715, 2014 | 15 | 2014 |
| A high-throughput fixed-point complex divider for FPGAs D Wang, P Ren, L Liu IEICE Electronics Express 10 (4), 20120879-20120879, 2013 | 15 | 2013 |
| Pilot contamination attack detection using random symbols for massive MIMO systems X Wang, M Liu, D Wang, C Zhong 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), 1-7, 2017 | 14 | 2017 |
Milos D. Ercegovac, Distinguished Pro...University of California, Los Angelescs.ucla.edu의 이메일 확인됨