| Quantized convolutional neural networks for mobile devices J Wu, C Leng, Y Wang, Q Hu, J Cheng Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 1439 | 2016 |
| 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 | 283 | 2018 |
| Two-step quantization for low-bit neural networks P Wang, Q Hu, Y Zhang, C Zhang, Y Liu, J Cheng Proceedings of the IEEE Conference on computer vision and pattern …, 2018 | 160 | 2018 |
| Quantized CNN: A unified approach to accelerate and compress convolutional networks J Cheng, J Wu, C Leng, Y Wang, Q Hu IEEE transactions on neural networks and learning systems 29 (10), 4730-4743, 2017 | 129 | 2017 |
| From hashing to cnns: Training binary weight networks via hashing Q Hu, P Wang, J Cheng Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 121 | 2018 |
| Mixformer: Mixing features across windows and dimensions Q Chen, Q Wu, J Wang, Q Hu, T Hu, E Ding, J Cheng, J Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 116 | 2022 |
| Pseudo label based unsupervised deep discriminative hashing for image retrieval Q Hu, J Wu, J Cheng, L Wu, H Lu Proceedings of the 25th ACM international conference on Multimedia, 1584-1590, 2017 | 46 | 2017 |
| Airface: Lightweight and efficient model for face recognition X Li, F Wang, Q Hu, C Leng proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 43 | 2019 |
| Semi-supervised generative adversarial hashing for image retrieval G Wang, Q Hu, J Cheng, Z Hou Proceedings of the European conference on computer vision (ECCV), 469-485, 2018 | 43 | 2018 |
| Proxybnn: Learning binarized neural networks via proxy matrices X He, Z Mo, K Cheng, W Xu, Q Hu, P Wang, Q Liu, J Cheng Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 33 | 2020 |
| 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 |
| Revisting quantization error in face alignment X Lan, Q Hu, J Cheng Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 23 | 2021 |
| Generative zero-shot network quantization X He, J Lu, W Xu, Q Hu, P Wang, J Cheng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 23 | 2021 |
| DeepSearch: A fast image search framework for mobile devices P Wang, Q Hu, Z Fang, C Zhao, J Cheng ACM Transactions on Multimedia Computing, Communications, and Applications …, 2017 | 23 | 2017 |
| Characterization of large language model development in the datacenter Q Hu, Z Ye, Z Wang, G Wang, M Zhang, Q Chen, P Sun, D Lin, X Wang, ... 21st USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2024 | 16 | 2024 |
| Hih: Towards more accurate face alignment via heatmap in heatmap X Lan, Q Hu, Q Chen, J Xue, J Cheng arXiv preprint arXiv:2104.03100, 2021 | 16 | 2021 |
| Adversarial binary mutual learning for semi-supervised deep hashing Q Hu, Y Yang, J Cheng, ZG Hou IEEE Transactions on Neural Networks and Learning Systems 33 (8), 4110-4124, 2021 | 16 | 2021 |
| Fast k-means for large scale clustering Q Hu, J Wu, L Bai, Y Zhang, J Cheng Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 16 | 2017 |
| Compact global descriptor for neural networks X He, K Cheng, Q Chen, Q Hu, P Wang, J Cheng arXiv preprint arXiv:1907.09665, 2019 | 14 | 2019 |
| ECBC: Efficient convolution via blocked columnizing T Zhao, Q Hu, X He, W Xu, J Wang, C Leng, J Cheng IEEE Transactions on Neural Networks and Learning Systems, 2021 | 10 | 2021 |
