| 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 | 549 | 2016 |
| Fast and accurate image matching with cascade hashing for 3d reconstruction J Cheng, C Leng, J Wu, H Cui, H Lu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 124 | 2014 |
| Online sketching hashing C Leng, J Wu, J Cheng, X Bai, H Lu Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 89 | 2015 |
| Fusing multi-modal features for gesture recognition J Wu, J Cheng, C Zhao, H Lu Proceedings of the 15th ACM on International conference on multimodal …, 2013 | 76 | 2013 |
| Error compensated quantized SGD and its applications to large-scale distributed optimization J Wu, W Huang, J Huang, T Zhang arXiv preprint arXiv:1806.08054, 2018 | 58 | 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 | 43 | 2017 |
| Hashing for distributed data C Leng, J Wu, J Cheng, X Zhang, H Lu | 24 | 2015 |
| Bayesian co-boosting for multi-modal gesture recognition J Wu, J Cheng | 24 | 2014 |
| Collaborative channel pruning for deep networks H Peng, J Wu, S Chen, J Huang International Conference on Machine Learning, 5113-5122, 2019 | 19 | 2019 |
| An efficient approach to informative feature extraction from multimodal data L Wang, J Wu, SL Huang, L Zheng, X Xu, L Zhang, J Huang Proceedings of the AAAI Conference on Artificial Intelligence 33, 5281-5288, 2019 | 11 | 2019 |
| Pocketflow: An automated framework for compressing and accelerating deep neural networks J Wu, Y Zhang, H Bai, H Zhong, J Hou, W Liu, W Huang, J Huang | 10 | 2018 |
| 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 | 9 | 2017 |
| Supervised hashing with soft constraints C Leng, J Cheng, J Wu, X Zhang, H Lu Proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 9 | 2014 |
| Learning deep features for msr-bing information retrieval challenge Q Song, S Yu, C Leng, JX Wu, Q Hu, J Cheng Proceedings of the 23rd ACM international conference on Multimedia, 169-172, 2015 | 7 | 2015 |
| Double quantization for communication-efficient distributed optimization Y Yu, J Wu, L Huang Advances in Neural Information Processing Systems, 4438-4449, 2019 | 6 | 2019 |
| Deep convolutional neural network acceleration and compression method based on parameter quantification J Cheng, J Wu, C Leng, H Lu US Patent App. 15/753,520, 2018 | 4 | 2018 |
| 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 | 4 | 2017 |
| Few shot network compression via cross distillation H Bai, J Wu, I King, M Lyu arXiv preprint arXiv:1911.09450, 2019 | 3 | 2019 |
| Disturbance-immune Weight Sharing for Neural Architecture Search S Niu, J Wu, Y Zhang, Y Guo, P Zhao, J Huang, M Tan arXiv preprint arXiv:2003.13089, 2020 | 2 | 2020 |
| Exploring fast and communication-efficient algorithms in large-scale distributed networks Y Yu, J Wu, J Huang arXiv preprint arXiv:1901.08924, 2019 | 2 | 2019 |
Jian Cheng (程健)Professor, Institute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
