Jiaxiang Wu
Jiaxiang Wu
Tencent AI Lab
Verified email at tencent.com
Title
Cited by
Cited by
Year
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
7852016
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
1502014
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
1142018
Online sketching hashing
C Leng, J Wu, J Cheng, X Bai, H Lu
Proceedings of the IEEE conference on computer vision and pattern …, 2015
1002015
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
812013
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
732017
Collaborative channel pruning for deep networks
H Peng, J Wu, S Chen, J Huang
International Conference on Machine Learning, 5113-5122, 2019
462019
Hashing for distributed data
C Leng, J Wu, J Cheng, X Zhang, H Lu
International Conference on Machine Learning, 1642-1650, 2015
282015
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
232019
Bayesian co-boosting for multi-modal gesture recognition
J Wu, J Cheng
The Journal of Machine Learning Research 15 (1), 3013-3036, 2014
232014
Double quantization for communication-efficient distributed optimization
Y Yu, J Wu, L Huang
arXiv preprint arXiv:1805.10111, 2018
182018
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
152018
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
142020
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
142017
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
92020
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
92014
Bagging msa learning: Enhancing low-quality pssm with deep learning for accurate protein structure property prediction
Y Guo, J Wu
Proc. of the 24th International Conference on Research in Computational …, 2020
72020
Exploring fast and communication-efficient algorithms in large-scale distributed networks
Y Yu, J Wu, J Huang
arXiv preprint arXiv:1901.08924, 2019
72019
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
72015
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
62021
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