Xiaolin Hu
Xiaolin Hu
Associate Professor of Computer Science and Technology, Tsinghua University
Verified email at tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
Recurrent convolutional neural network for object recognition
M Liang, X Hu
Proceedings of the IEEE conference on computer vision and pattern …, 2015
6592015
High performance visual tracking with siamese region proposal network
B Li, J Yan, W Wu, Z Zhu, X Hu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
4372018
Boosting adversarial attacks with momentum
Y Dong, F Liao, T Pang, H Su, J Zhu, X Hu, J Li
Proceedings of the IEEE conference on computer vision and pattern …, 2018
3892018
Defense against adversarial attacks using high-level representation guided denoiser
F Liao, M Liang, Y Dong, T Pang, X Hu, J Zhu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2162018
Joint training of cascaded CNN for face detection
H Qin, J Yan, X Li, X Hu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1562016
Solving pseudomonotone variational inequalities and pseudoconvex optimization problems using the projection neural network
X Hu, J Wang
IEEE Transactions on Neural Networks 17 (6), 1487-1499, 2006
1502006
An Improved Dual Neural Network for Solving a Class of Quadratic Programming Problems and Its -Winners-Take-All Application
X Hu, J Wang
IEEE Transactions on Neural networks 19 (12), 2022-2031, 2008
1472008
Evaluate the malignancy of pulmonary nodules using the 3-d deep leaky noisy-or network
F Liao, M Liang, Z Li, X Hu, S Song
IEEE transactions on neural networks and learning systems 30 (11), 3484-3495, 2019
1162019
Design of general projection neural networks for solving monotone linear variational inequalities and linear and quadratic optimization problems
X Hu, J Wang
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 37 …, 2007
1122007
Understanding the disharmony between dropout and batch normalization by variance shift
X Li, S Chen, X Hu, J Yang
Proceedings of the IEEE conference on computer vision and pattern …, 2019
1022019
Adversarial attacks and defences competition
A Kurakin, I Goodfellow, S Bengio, Y Dong, F Liao, M Liang, T Pang, ...
The NIPS'17 Competition: Building Intelligent Systems, 195-231, 2018
952018
Selective kernel networks
X Li, W Wang, X Hu, J Yang
Proceedings of the IEEE conference on computer vision and pattern …, 2019
912019
Traffic sign detection based on convolutional neural networks
Y Wu, Y Liu, J Li, H Liu, X Hu
The 2013 international joint conference on neural networks (IJCNN), 1-7, 2013
842013
Hybridization of the multi-objective evolutionary algorithms and the gradient-based algorithms
X Hu, Z Huang, Z Wang
The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 2, 870-877, 2003
822003
Traffic sign detection by ROI extraction and histogram features-based recognition
M Liang, M Yuan, X Hu, J Li, H Liu
The 2013 international joint conference on Neural networks (IJCNN), 1-8, 2013
802013
Scale-aware face detection
Z Hao, Y Liu, H Qin, J Yan, X Li, X Hu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
662017
A recurrent neural network for solving a class of general variational inequalities
X Hu, J Wang
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 37 …, 2007
642007
Multi-objective optimization of HEV fuel economy and emissions using evolutionary computation
X Hu, Z Wang, L Liao
SAE Technical Paper, 2004
552004
Convolutional neural networks with intra-layer recurrent connections for scene labeling
M Liang, X Hu, B Zhang
Advances in Neural Information Processing Systems, 937-945, 2015
542015
Sparsity-regularized HMAX for visual recognition
X Hu, J Zhang, J Li, B Zhang
PloS one 9 (1), e81813, 2014
522014
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Articles 1–20