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
300 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
60 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
47 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
35 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
23 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
17 2020 : Aggregation-Aware Quantization for Graph Neural NetworksZ Zhu, F Li, Z Mo, Q Hu, G Li, Z Liu, X Liang, J Cheng
arXiv preprint arXiv:2302.00193, 2023
14 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 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
8 2024 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
8 2021 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 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
6 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
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