| Deep image: Scaling up image recognition R Wu, S Yan, Y Shan, Q Dang, G Sun arXiv preprint arXiv:1501.02876 7 (8), 2015 | 374 | 2015 |
| FPMR: MapReduce framework on FPGA Y Shan, B Wang, J Yan, Y Wang, N Xu, H Yang Proceedings of the 18th annual ACM/SIGDA international symposium on Field …, 2010 | 215 | 2010 |
| Enabling FPGAs in the Cloud F Chen, Y Shan, Y Zhang, Y Wang, H Franke, X Chang, K Wang Proceedings of the 11th ACM Conference on Computing Frontiers, 3:1-3:10, 2014 | 176 | 2014 |
| Memristor-based approximated computation B Li, Y Shan, M Hu, Y Wang, Y Chen, H Yang International Symposium on Low Power Electronics and Design (ISLPED), 242-247, 2013 | 96 | 2013 |
| RRAM-based Analog Approximate Computing B Li, P Gu, Y Shan, Y Wang, Y Chen, H Yang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2015 | 89 | 2015 |
| Efficient pagerank and spmv computation on amd gpus T Wu, B Wang, Y Shan, F Yan, Y Wang, N Xu 2010 39th International Conference on Parallel Processing, 81-89, 2010 | 50 | 2010 |
| FPGA and GPU implementation of large scale SpMV Y Shan, T Wu, Y Wang, B Wang, Z Wang, N Xu, H Yang 2010 IEEE 8th Symposium on Application Specific Processors (SASP), 64-70, 2010 | 40 | 2010 |
| A high-performance CNN processor based on FPGA for MobileNets D Wu, Y Zhang, X Jia, L Tian, T Li, L Sui, D Xie, Y Shan 2019 29th International Conference on Field Programmable Logic and …, 2019 | 34 | 2019 |
| Hardware Acceleration for an Accurate Stereo Vision System Using Mini-Census Adaptive Support Region Y Shan, Y Hao, W Wang, Y Wang, X Chen, H Yang, W Luk ACM Transactions on Embedded Computing Systems 13, 132:1-132:24, 2014 | 34 | 2014 |
| Dual super-resolution learning for semantic segmentation L Wang, D Li, Y Zhu, L Tian, Y Shan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 28 | 2020 |
| Dnnvm: End-to-end compiler leveraging heterogeneous optimizations on fpga-based cnn accelerators Y Xing, S Liang, L Sui, X Jia, J Qiu, X Liu, Y Wang, Y Shan, Y Wang IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2019 | 28 | 2019 |
| FPGA accelerated parallel sparse matrix factorization for circuit simulations W Wu, Y Shan, X Chen, Y Wang, H Yang International Symposium on Applied Reconfigurable Computing, 302-315, 2011 | 26 | 2011 |
| FPGA based memory efficient high resolution stereo vision system for video tolling Y Shan, Z Wang, W Wang, Y Hao, Y Wang, K Tsoi, W Luk, H Yang 2012 International Conference on Field-Programmable Technology, 29-32, 2012 | 15 | 2012 |
| Online Scheduling for FPGA Computation in the Cloud G Dai, Y Shan, F Chen, Y Zhang, Y Wang, K Wang, H Yang Proceedings of the International Conference on Field-Programmable Technology …, 2014 | 14 | 2014 |
| Hardware computing for brain network analysis Y Wang, Y He, Y Shan, T Wu, D Wu, H Yang 2nd Asia Symposium on Quality Electronic Design (ASQED), 219-222, 2010 | 14 | 2010 |
| Real-time object detection and semantic segmentation hardware system with deep learning networks S Fang, L Tian, J Wang, S Liang, D Xie, Z Chen, L Sui, Q Yu, X Sun, ... 2018 International Conference on Field-Programmable Technology (FPT), 389-392, 2018 | 10 | 2018 |
| ADAS and video surveillance analytics system using deep learning algorithms on FPGA Y Shan 2018 28th International Conference on Field Programmable Logic and …, 2018 | 9 | 2018 |
| Making human connectome faster: GPU acceleration of brain network analysis D Wu, T Wu, Y Shan, Y Wang, Y He, N Xu, H Yang 2010 IEEE 16th International Conference on Parallel and Distributed Systems …, 2010 | 9 | 2010 |
| Reconfigurable processor for deep learning in autonomous vehicles Y Wang, S Liang, S Yao, Y Shan, S Han, J Peng, H Luo Daffodil International University, 2017 | 8 | 2017 |
| An in-depth comparison of compilers for deep neural networks on hardware Y Xing, J Weng, Y Wang, L Sui, Y Shan, Y Wang 2019 IEEE International Conference on Embedded Software and Systems (ICESS), 1-8, 2019 | 7 | 2019 |
Yu Wang(汪玉)Department of Electronic Engineering, Tsinghua University, ChinaVerified email at mail.tsinghua.edu.cn
