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
269 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
61 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
47 2020 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
40 2021 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
33 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 Dynamic dual gating neural networks F Li, G Li, X He, J Cheng
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
23 2021 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
12 2020 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 Z Zhu, F Li, Z Mo, Q Hu, G Li, Z Liu, X Liang, J Cheng
arXiv preprint arXiv:2302.00193, 2023
6 2023 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
5 2022 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
5 2020 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
4 2017 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, 2023
3 2023 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
3 2023 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 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
2 2022 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
1 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
1 2021 GNeRF: Accelerating Neural Radiance Fields Inference via Adaptive Sample Gating C Gu, G Li, X Lin, J Ling, X Liang
IEEE International Symposium on Circuits and Systems (ISCAS), 2024
2024 
Jian Cheng (程健-自动化所)Institute of Automation, Chinese Academy of SciencesAdresse e-mail validée de nlpr.ia.ac.cn
