A co-training approach to automatic face recognition. - Xuran Zhao; Nicholas W. D. Evans; Jean-Luc Dugelay (EUSIPCO, 2011)

Semi-supervised face recognition with LDA self-training. - Xuran Zhao; Nicholas W. D. Evans; Jean-Luc Dugelay (ICIP, 2011)

Multi-view semi-supervised discriminant analysis: A new approach to audio-visual person recognition. - Xuran Zhao; Nicholas W. D. Evans; Jean-Luc Dugelay (EUSIPCO, 2012)

CO-LDA: A Semi-supervised Approach to Audio-Visual Person Recognition. - Xuran Zhao; Nicholas W. D. Evans; Jean-Luc Dugelay (ICME, 2012)

Open-set semi-supervised audio-visual speaker recognition using co-training LDA and Sparse Representation Classifiers. - Xuran Zhao; Nicholas W. D. Evans; Jean-Luc Dugelay (ICASSP, 2013)

Crowd density analysis using subspace learning on local binary pattern. - Hajer Fradi; Xuran Zhao; Jean-Luc Dugelay (ICME Workshops, 2013)

Unsupervised multi-view dimensionality reduction with application to audio-visual speaker retrieval. - Xuran Zhao; Nicholas W. D. Evans; Jean-Luc Dugelay (WIFS, 2013)

Multi-view dimensionality reduction for multi-modal biometrics. (Réduction de la dimension multi-vue pour la biométrie multimodale). - Xuran Zhao (2013)

A subspace co-training framework for multi-view clustering. - Xuran Zhao; Nicholas W. D. Evans; Jean-Luc Dugelay (Pattern Recognit. Lett., 2014)

Temporally Consistent Depth Map Prediction Using Deep Convolutional Neural Network and Spatial-Temporal Conditional Random Field. - Xuran Zhao; Xun Wang 007; Qi-Chao Chen (J. Comput. Sci. Technol., 2017)

Multi-view dimensionality reduction via subspace structure agreement. - Xuran Zhao; Xun Wang 007; Huiyan Wang 002 (Multim. Tools Appl., 2017)

Sensitivity of Adversarial Perturbation in Fast Gradient Sign Method. - Yujie Liu; Shuai Mao; Xiang Mei; Tao Yang; Xuran Zhao (SSCI, 2019)

Cross-View Attention Network for Breast Cancer Screening from Multi-View Mammograms. - Xuran Zhao; Luyang Yu; Xun Wang 007 (ICASSP, 2020)

Evaluating facial recognition web services with adversarial and synthetic samples. - Tao Yang; Xuran Zhao; Xun Wang 007; Hexin Lv (Neurocomputing, 2020)

Towards More Possibilities: Motion Planning and Control for Hybrid Locomotion of Wheeled-Legged Robots. - Jingyuan Sun; Yangwei You; Xuran Zhao; Albertus Hendrawan Adiwahono; Chee-Meng Chew (IEEE Robotics Autom. Lett., 2020)

Improving Multiperson Pose Estimation by Mask-aware Deep Reinforcement Learning. - Xun Wang 007; Yan Tian; Xuran Zhao; Tao Yang; Judith Gelernter; Jialei Wang; Guohua Cheng; Wei Hu 001 (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Deep learning on digital mammography for expert-level diagnosis accuracy in breast cancer detection. - Jinrong Qu; Xuran Zhao; Peng Chen; Zhaoqi Wang; Zhenzhen Liu; Bailin Yang; Hailiang Li (Multim. Syst., 2022)

Survey on deep learning in multimodal medical imaging for cancer detection. - Yan Tian; Zhaocheng Xu; Yujun Ma; Weiping Ding 001; Ruili Wang; Zhihong Gao; Guohua Cheng; Linyang He; Xuran Zhao (CoRR, 2023)

Evaluating Global Geo-alignment for Precision Learned Autonomous Vehicle Localization using Aerial Data. - Yi Yang; Xuran Zhao; H. Charles Zhao; Shumin Yuan; Samuel M. Bateman; Tiffany A. Huang; Chris Beall; Will Maddern (CoRR, 2025)