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2020 – today
- 2023
[i1]Yan Tian, Zhaocheng Xu, Yujun Ma, Weiping Ding, Ruili Wang, Zhihong Gao, Guohua Cheng, Linyang He, Xuran Zhao:
Survey on deep learning in multimodal medical imaging for cancer detection. CoRR abs/2312.01573 (2023)- 2022
- [j7]Jinrong Qu, Xuran Zhao
, Peng Chen, Zhaoqi Wang, Zhenzhen Liu, Bailin Yang, Hailiang Li:
Deep learning on digital mammography for expert-level diagnosis accuracy in breast cancer detection. Multim. Syst. 28(4): 1263-1274 (2022) - 2020
- [j6]Tao Yang, Xuran Zhao, Xun Wang, Hexin Lv:
Evaluating facial recognition web services with adversarial and synthetic samples. Neurocomputing 406: 378-385 (2020) - [j5]Jingyuan Sun, Yangwei You, Xuran Zhao, Albertus Hendrawan Adiwahono, Chee-Meng Chew:
Towards More Possibilities: Motion Planning and Control for Hybrid Locomotion of Wheeled-Legged Robots. IEEE Robotics Autom. Lett. 5(2): 3723-3730 (2020) - [j4]Xun Wang, Yan Tian, Xuran Zhao, Tao Yang, Judith Gelernter, Jialei Wang, Guohua Cheng, Wei Hu:
Improving Multiperson Pose Estimation by Mask-aware Deep Reinforcement Learning. ACM Trans. Multim. Comput. Commun. Appl. 16(3): 84:1-84:18 (2020) - [c9]Xuran Zhao, Luyang Yu, Xun Wang:
Cross-View Attention Network for Breast Cancer Screening from Multi-View Mammograms. ICASSP 2020: 1050-1054
2010 – 2019
- 2019
- [c8]Yujie Liu, Shuai Mao, Xiang Mei, Tao Yang, Xuran Zhao:
Sensitivity of Adversarial Perturbation in Fast Gradient Sign Method. SSCI 2019: 433-436 - 2017
- [j3]Xuran Zhao, Xun Wang, Qi-Chao Chen:
Temporally Consistent Depth Map Prediction Using Deep Convolutional Neural Network and Spatial-Temporal Conditional Random Field. J. Comput. Sci. Technol. 32(3): 443-456 (2017) - [j2]Xuran Zhao, Xun Wang, Huiyan Wang:
Multi-view dimensionality reduction via subspace structure agreement. Multim. Tools Appl. 76(16): 17437-17460 (2017) - 2014
- [j1]Xuran Zhao, Nicholas W. D. Evans, Jean-Luc Dugelay:
A subspace co-training framework for multi-view clustering. Pattern Recognit. Lett. 41: 73-82 (2014) - 2013
- [b1]Xuran Zhao:
Multi-view dimensionality reduction for multi-modal biometrics. (Réduction de la dimension multi-vue pour la biométrie multimodale). Télécom ParisTech, France, 2013 - [c7]Xuran Zhao, Nicholas W. D. Evans, Jean-Luc Dugelay:
Open-set semi-supervised audio-visual speaker recognition using co-training LDA and Sparse Representation Classifiers. ICASSP 2013: 2999-3003 - [c6]Hajer Fradi, Xuran Zhao, Jean-Luc Dugelay:
Crowd density analysis using subspace learning on local binary pattern. ICME Workshops 2013: 1-6 - [c5]Xuran Zhao, Nicholas W. D. Evans, Jean-Luc Dugelay:
Unsupervised multi-view dimensionality reduction with application to audio-visual speaker retrieval. WIFS 2013: 7-12 - 2012
- [c4]Xuran Zhao, Nicholas W. D. Evans, Jean-Luc Dugelay:
Multi-view semi-supervised discriminant analysis: A new approach to audio-visual person recognition. EUSIPCO 2012: 31-35 - [c3]Xuran Zhao, Nicholas W. D. Evans, Jean-Luc Dugelay:
CO-LDA: A Semi-supervised Approach to Audio-Visual Person Recognition. ICME 2012: 356-361 - 2011
- [c2]Xuran Zhao, Nicholas W. D. Evans, Jean-Luc Dugelay:
A co-training approach to automatic face recognition. EUSIPCO 2011: 1979-1983 - [c1]Xuran Zhao, Nicholas W. D. Evans, Jean-Luc Dugelay:
Semi-supervised face recognition with LDA self-training. ICIP 2011: 3041-3044
Coauthor Index
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