| 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 | 1013 | 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 | 167 | 2014 |
| Error compensated quantized SGD and its applications to large-scale distributed optimization J Wu, W Huang, J Huang, T Zhang International Conference on Machine Learning, 5325-5333, 2018 | 160 | 2018 |
| Online sketching hashing C Leng, J Wu, J Cheng, X Bai, H Lu Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 116 | 2015 |
| 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 | 93 | 2017 |
| Collaborative channel pruning for deep networks H Peng, J Wu, S Chen, J Huang International Conference on Machine Learning, 5113-5122, 2019 | 86 | 2019 |
| 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 | 83 | 2013 |
| Few shot network compression via cross distillation H Bai, J Wu, I King, M Lyu Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3203-3210, 2020 | 37 | 2020 |
| 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 (01), 5281-5288, 2019 | 35 | 2019 |
| Hashing for distributed data C Leng, J Wu, J Cheng, X Zhang, H Lu International Conference on Machine Learning, 1642-1650, 2015 | 31 | 2015 |
| Double quantization for communication-efficient distributed optimization Y Yu, J Wu, L Huang Advances in Neural Information Processing Systems 32, 2019 | 30 | 2019 |
| 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 | 25 | 2017 |
| 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 | 24 | 2018 |
| Bayesian co-boosting for multi-modal gesture recognition J Wu, J Cheng The Journal of Machine Learning Research 15 (1), 3013-3036, 2014 | 23 | 2014 |
| Revisiting parameter sharing for automatic neural channel number search J Wang, H Bai, J Wu, X Shi, J Huang, I King, M Lyu, J Cheng Advances in Neural Information Processing Systems 33, 5991-6002, 2020 | 17 | 2020 |
| M-nas: Meta neural architecture search J Wang, J Wu, H Bai, J Cheng Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6186-6193, 2020 | 15 | 2020 |
| Bagging msa learning: Enhancing low-quality pssm with deep learning for accurate protein structure property prediction Y Guo, J Wu, H Ma, S Wang, J Huang International Conference on Research in Computational Molecular Biology, 88-103, 2020 | 12 | 2020 |
| Bayesian automatic model compression J Wang, H Bai, J Wu, J Cheng IEEE Journal of Selected Topics in Signal Processing 14 (4), 727-736, 2020 | 11 | 2020 |
| When homologous sequences meet structural decoys: Accurate contact prediction by tFold in CASP14—(tFold for CASP14 contact prediction) T Shen, J Wu, H Lan, L Zheng, J Pei, S Wang, W Liu, J Huang Proteins: Structure, Function, and Bioinformatics 89 (12), 1901-1910, 2021 | 10 | 2021 |
| Deep convolutional neural network acceleration and compression method based on parameter quantification J Cheng, J Wu, C Leng, H Lu US Patent 10,970,617, 2021 | 10 | 2021 |
Jian Cheng (程健)Professor, Institute of Automation, Chinese Academy of SciencesVerified email at nlpr.ia.ac.cn
