| Recent advances in efficient computation of deep convolutional neural networks J Cheng, P Wang, G Li, Q Hu, H Lu Frontiers of Information Technology & Electronic Engineering 19, 64-77, 2018 | 299 | 2018 |
| Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA G Li, Z Liu, F Li, J Cheng IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 72 | 2021 |
| Hardware acceleration of fully quantized bert for efficient natural language processing Z Liu, G Li, J Cheng 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 513-516, 2021 | 58 | 2021 |
| Sparsity-inducing binarized neural networks P Wang, X He, G Li, T Zhao, J Cheng Proceedings of the AAAI conference on artificial intelligence 34 (07), 12192 …, 2020 | 58 | 2020 |
| EBERT: Efficient BERT inference with dynamic structured pruning Z Liu, F Li, G Li, J Cheng Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 49 | 2021 |
| Dynamic dual gating neural networks F Li, G Li, X He, J Cheng Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 34 | 2021 |
| Training binary weight networks via semi-binary decomposition Q Hu, G Li, P Wang, Y Zhang, J Cheng Proceedings of the European Conference on Computer Vision (ECCV), 637-653, 2018 | 25 | 2018 |
| Fsa: A fine-grained systolic accelerator for sparse cnns F Li, G Li, Z Mo, X He, J Cheng IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 16 | 2020 |
| : Aggregation-Aware Quantization for Graph Neural Networks Z Zhu, F Li, Z Mo, Q Hu, G Li, Z Liu, X Liang, J Cheng arXiv preprint arXiv:2302.00193, 2023 | 11 | 2023 |
| A system-level solution for low-power object detection F Li, Z Mo, P Wang, Z Liu, J Zhang, G Li, Q Hu, X He, C Leng, Y Zhang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 10 | 2019 |
| Ristretto: An Atomized Processing Architecture for Sparsity-Condensed Stream Flow in CNN G Li, W Xu, Z Song, N Jing, J Cheng, X Liang 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO …, 2022 | 7 | 2022 |
| MEGA: A Memory-Efficient GNN Accelerator Exploiting Degree-Aware Mixed-Precision Quantization Z Zhu, F Li, G Li, Z Liu, Z Mo, Q Hu, X Liang, J Cheng 30th IEEE International Symposium on High-Performance Computer Architecture …, 2024 | 6 | 2024 |
| Efficient accelerator/network co-search with circular greedy reinforcement learning Z Liu, G Li, J Cheng IEEE Transactions on Circuits and Systems II: Express Briefs 70 (7), 2615-2619, 2023 | 6 | 2023 |
| Extremely sparse networks via binary augmented pruning for fast image classification P Wang, F Li, G Li, J Cheng IEEE transactions on neural networks and learning systems 34 (8), 4167-4180, 2021 | 6 | 2021 |
| Hardware acceleration of CNN with one-hot quantization of weights and activations G Li, P Wang, Z Liu, C Leng, J Cheng 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 971-974, 2020 | 6 | 2020 |
| PRADA: Point Cloud Recognition Acceleration via Dynamic Approximation Z Song, H Lu, G Li, L Jiang, N Jing, X Liang 2023 Design Automation & Test in Europe Conference & Exhibition (DATE), 2023 | 5 | 2023 |
| Bundlenet: Learning with noisy label via sample correlations C Li, C Zhang, K Ding, G Li, J Cheng, H Lu IEEE Access 6, 2367-2377, 2017 | 5 | 2017 |
| AdaS: A Fast and Energy-Efficient CNN Accelerator Exploiting Bit-Sparsity X Lin, G Li, Z Liu, Y Liu, F Zhang, Z Song, N Jing, X Liang 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 3 | 2023 |
| PalQuant: Accelerating High-Precision Networks on Low-Precision Accelerators Q Hu, G Li, Q Wu, J Cheng European Conference on Computer Vision, 312-327, 2022 | 3 | 2022 |
| Ladder pyramid networks for single image super-resolution Z Mo, X He, G Li, J Chen 2020 IEEE International Conference on Image Processing (ICIP), 578-582, 2020 | 3 | 2020 |
Jian Cheng (程健-自动化所)Institute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn