Enhanced-alignment measure for binary foreground map evaluation DP Fan, C Gong, Y Cao, B Ren, MM Cheng, A Borji Proceedings of the 27th International Joint Conference on Artificial …, 2018 | 1137 | 2018 |
VecQ: Minimal loss DNN model compression with vectorized weight quantization C Gong, Y Chen, Y Lu, T Li, C Hao, D Chen IEEE Transactions on Computers 70 (5), 696-710, 2020 | 45 | 2020 |
T-DLA: An open-source deep learning accelerator for ternarized DNN models on embedded FPGA Y Chen, K Zhang, C Gong, C Hao, X Zhang, T Li, D Chen 2019 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 13-18, 2019 | 41 | 2019 |
μl2q: An ultra-low loss quantization method for DNN compression C Gong, T Li, Y Lu, C Hao, X Zhang, D Chen, Y Chen training 16, 29, 2019 | 12 | 2019 |
Elastic significant bit quantization and acceleration for deep neural networks C Gong, Y Lu, K Xie, Z Jin, T Li, Y Wang IEEE Transactions on Parallel and Distributed Systems 33 (11), 3178-3193, 2022 | 8 | 2022 |
µl2q: An ultra-low loss quantization method for DNN compression C Gong, T Li, Y Lu, C Hao, X Zhang, D Chen, Y Chen 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 8 | 2019 |
Video saliency detection based on low-level saliency fusion and saliency-aware geodesic W Li, S Feng, HP Guan, Z Zhan, C Gong Journal of Electronic Imaging 28 (1), 013009-013009, 2019 | 4 | 2019 |
Ultra-low Loss Quantization Method for Deep Neural Network Compression 龚成, 卢冶, 代素蓉, 刘方鑫, 陈新伟, 李涛 Journal of Software 32 (8), 2391-2407, 2021 | 1 | 2021 |
Minimize Quantization Output Error with Bias Compensation C Gong, H Zheng, M Hu, Z Lin, DP Fan, Y Zhang, T Li CAAI Artificial Intelligence Research,, 2024 | | 2024 |
AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks C Gong, Y Lu, SR Dai, D Qian, CK Du, T Li Journal of Computer Science and Technology 39 (2), 401-420, 2024 | | 2024 |
OSN: Onion-ring support neighbors for correspondence selection C Gong, Y Lu, C Song, T Li, K Wang Information Sciences 560, 331-346, 2021 | | 2021 |
LHC: A Low-Power Heterogeneous Computing Method on Neural Network Accelerator F Liu, K Xie, C Gong, S Liu, Y Lu, T Li 2019 IEEE 25th International Conference on Parallel and Distributed Systems …, 2019 | | 2019 |
AutoQNN: 端到端的自动神经网络量化框架 C Gong, Y Lu, SR Dai, Q Deng, CK Du, T Li 计算机科学技术学报, 1, 0 | | |
Hammond, Simon 104 Han, Jie 111 Han, Menglin 111 Hanif, Muhammad Abdullah 553 C Hao, D Fan, Y Fan, Z Fan, A Fayyazi, V Fischer, CFB Fong, D Forte, ... | | |