| Evaluating fast algorithms for convolutional neural networks on FPGAs L Lu, Y Liang, Q Xiao, S Yan 2017 IEEE 25th annual international symposium on field-programmable custom …, 2017 | 282 | 2017 |
| Exploring heterogeneous algorithms for accelerating deep convolutional neural networks on FPGAs Q Xiao, Y Liang, L Lu, S Yan, YW Tai Proceedings of the 54th Annual Design Automation Conference 2017, 1-6, 2017 | 223 | 2017 |
| An efficient hardware accelerator for sparse convolutional neural networks on FPGAs L Lu, J Xie, R Huang, J Zhang, W Lin, Y Liang 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom …, 2019 | 157 | 2019 |
| Evaluating fast algorithms for convolutional neural networks on FPGAs Y Liang, L Lu, Q Xiao, S Yan IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2019 | 147 | 2019 |
| SpWA: An efficient sparse winograd convolutional neural networks accelerator on FPGAs L Lu, Y Liang Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018 | 118 | 2018 |
| Sanger: A co-design framework for enabling sparse attention using reconfigurable architecture L Lu, Y Jin, H Bi, Z Luo, P Li, T Wang, Y Liang MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021 | 51 | 2021 |
| Tenet: A framework for modeling tensor dataflow based on relation-centric notation L Lu, N Guan, Y Wang, L Jia, Z Luo, J Yin, J Cong, Y Liang 2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021 | 50 | 2021 |
| AMOS: enabling automatic mapping for tensor computations on spatial accelerators with hardware abstraction S Zheng, R Chen, A Wei, Y Jin, Q Han, L Lu, B Wu, X Li, S Yan, Y Liang Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 34 | 2022 |
| OMNI: A framework for integrating hardware and software optimizations for sparse CNNs Y Liang, L Lu, J Xie IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 30 | 2020 |
| Hangrui Bi, Zizhang Luo, Peng Li, Tao Wang, and Yun Liang. 2021. Sanger: A co-design framework for enabling sparse attention using reconfigurable architecture L Lu, Y Jin MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021 | 27 | 2021 |
| An efficient hardware design for accelerating sparse CNNs with NAS-based models Y Liang, L Lu, Y Jin, J Xie, R Huang, J Zhang, W Lin IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 26 | 2021 |
| Exploiting sparsity to accelerate fully connected layers of cnn-based applications on mobile socs X Xie, D Du, Q Li, Y Liang, WT Tang, ZL Ong, M Lu, HP Huynh, RSM Goh ACM Transactions on Embedded Computing Systems (TECS) 17 (2), 1-25, 2017 | 25 | 2017 |
| Tensorlib: A spatial accelerator generation framework for tensor algebra L Jia, Z Luo, L Lu, Y Liang 2021 58th ACM/IEEE Design Automation Conference (DAC), 865-870, 2021 | 23 | 2021 |
| Generating systolic array accelerators with reusable blocks L Jia, L Lu, X Wei, Y Liang IEEE Micro 40 (4), 85-92, 2020 | 20 | 2020 |
| Enabling efficient fast convolution algorithms on GPUs via MegaKernels L Jia, Y Liang, X Li, L Lu, S Yan IEEE Transactions on Computers 69 (7), 986-997, 2020 | 18 | 2020 |
| FCNNLib: An efficient and flexible convolution algorithm library on FPGAs Q Xiao, L Lu, J Xie, Y Liang 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 10 | 2020 |
| Convolution acceleration and computing processing method and apparatus, electronic device, and storage medium LU Liqiang, Y Liang, X Qingcheng, YAN Shengen US Patent 11,429,852, 2022 | 7 | 2022 |
| Accelerating convolutional neural networks on FPGAs LQ Lu, S Zheng, QC Xiao, DM Chen, Y Liang Scientia Sinica Informationis 49 (3), 277-294, 2019 | 7 | 2019 |
| FCNNLib: A flexible convolution algorithm library for deep learning on FPGAs Y Liang, Q Xiao, L Lu, J Xie IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 5 | 2021 |
| Speedy: An accelerator for sparse convolutional neural networks on fpgas L Lu, Y Liang, R Huang, W Lin, X Cui, J Zhang Proceedings of the 2019 ACM/SIGDA International Symposium on Field …, 2019 | 5 | 2019 |
Yun (Eric) LiangProfessor of EECS, Peking University, ACM Distinguished ScientistVerified email at pku.edu.cn
