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基本信息

姓名 杨旭 职位 讲师

博士学科:

硕士学科: 

工作单位:

联系方式

通信地址:

电子邮箱:yangxu@xidian.edu.cn

办公电话:

办公地点:

个人简介

杨旭,讲师(菁英副教授)。已在国际顶级期刊或会议上发表10余篇学术论文,主要包括IEEE T-PAMI, IEEE T-NNLS, CVPR, NeurIPS等。目前担任IEEE T-NNLS, IEEE T-IP等10余家国际权威期刊审稿人,并受邀担任CVPR, ICCV, AAAI, IJCAI等多个国际会议的PC member。英文主页:https://xdxuyang.github.io/


研究成果:

[1] X. Yang,C. Deng, T. Liu, and D. Tao, Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation [J] // IEEE Trans. Pattern Anal. Mach. Intell., 2020. (中科院一区影响因子16.389)

[2] C. Deng, X. Yang, F. Nie, and D. Tao, Saliency Detection via a Multiple Self-Weighted Graph-Based Manifold Ranking [J] // IEEE Trans. Multimed., 2019. (中科院一区影响因子:6.513)

[3] H. Zhang, H. Cao, X. Yang, C. Deng, and D. Tao, Self-Training with Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-identification [J] // IEEE Trans. Image Process., 2021. (中科院一区影响因子:10.856)

[4] X. Yang, C. Deng, X. Liu, and F. Nie, New L_2,1-Norm Relaxation of Multi-Way Graph Cut for Clustering [C] // AAAI Conference on Artificial Intelligence (AAAI2018, CCF A)

[5] X. Yang,C. Deng, F. Zheng, J. Yan, and W. Liu, Deep Spectral Clustering with Dual Autoencoder Network, [C] // IEEE International Conference on Computer Vision and Pattern Recognition (CVPR2019, CCF A)

[6] X. Yang,C. Deng, K. Wei, J. Yan, and W. Liu, Adversarial Learning for Robust Deep Clustering, [C] // Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS2020, CCF A)

[7] X. Yang,C. Deng, Z. Dang, K. Wei, and J. Yan, SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network [C] // IEEE International Conference on Computer Vision and Pattern Recognition (CVPR2021, CCF A)

[8] Z. Dang, C. Deng, X. Yang, H. Huang, Multi-Scale Fusion Subspace Clustering Using Similarity Constraint, [C] // IEEE International Conference on Computer Vision and Pattern Recognition (CVPR2020, CCF A)

[9] K. Wei, C. Deng, and X. Yang, Lifelong Zero-shot Learning, [C] // International Joint Conference on Artificial Intelligence (IJCAI2020, CCF A)

[10] K. Wei, C. Deng, X. Yang, and M. Li, Incremental Embedding Learning via Zero-Shot Translation, [C] // AAAI Conference on Artificial Intelligence (AAAI2021, CCF A)

[11] Z. Dang, C. Deng, X. Yangand H. Huang, Nearest Neighbor Matching for Deep Clustering [C] // IEEE International Conference on Computer Vision and Pattern Recognition (CVPR2021, CCF A)

[12] H. Zhao, X. Yang, Z. Wang, E. Yang, and C. Deng, Graph Debiased Contrastive Learning with Joint Representation Clustering, [C] // International Joint Conference on Artificial Intelligence (IJCAI2021, CCF A)

[13] X. YangC. Deng, Z. Dang, and D. Tao, Deep Multi-View Collaborative Clustering [J] // submitted to IEEE Trans. Neural Netw. Learn. Syst. (中科院一区影响因子:10.451)

[14] K. Wei, C. Deng, X. Yang, and D. Tao, Incremental Zero-Shot Learning [J] // submitted to IEEE Trans. Cybern. (中科院一区影响因子:11.448)

[15] M. Li, Y. Yang, K. Wei, X. Yang, and H. Huang, Learning Universal Adversarial Perturbation by Adversarial Example [C] // AAAI Conference on Artificial Intelligence (AAAI2022, CCF A)

主要研究方向

1.人工智能,智能信息处理,计算机视觉,深度学习