姓名 杨旭 职位 副教授
博士学科：电子科学与技术 电路与系统
硕士学科：电子科学与技术 电路与系统
工作单位：电子工程学院
通信地址：
电子邮箱：yangxu@xidian.edu.cn
办公电话：
办公地点：
杨旭，副教授（华山学者菁英副教授）。硕士生导师，主要从事多模态内容理解、机器学习、计算机视觉等相关领域的研究，在相关领域发表论文30余篇，其中包括IEEE Trans.权威期刊（TPAMI、TNNLS和TIP等）和CCF-A顶级会议（CVPR、NeurIPS、和AAAI等），ESI高被引1篇。主持国家自然科学基金项目，作为核心成员参与国家自然科学基金重点基金，国家重点研发计划等项目多项。曾入选陕西省科协青年人才托举工程，获陕西省自然科学技术奖一等奖、2021 ACM XI’AN 优博奖以及2021年吴文俊人工智能科学技术奖优秀博士论文奖。担任TPAMI, TIP, TCYB, TNNLS, CVPR, AAAI, NeurIPS, ICML等期刊和会议审稿人和（高级）程序委员。英文主页：https://scholar.google.com/citations?user=Uc3piAIAAAAJ&hl=en
研究成果：
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Unsupervised Structure-Adaptive Graph Contrastive Learning
H. Zhao, X. Yang, C. Deng, D. Tao
IEEE Trans. Neural Netw. Learn. Syst., 2023.(IF20=10.451) -
Dual-Stream Contrastive Learning for Compositional Zero-Shot Recognition
Y. Yang, R. Pan, X. Li, X. Yang, C. Deng
IEEE Trans. Multimed., 2023.(IF20=8.182) -
Point-Supervised Video Temporal Grounding
Z. Xu, K. Wei, X. Yang, C. Deng
IEEE Trans. Multimed., 2022.(IF20=8.182) -
Object-Agnostic Transformers for Video Referring Segmentation
X. Yang, H. Wang, D. Xie, C. Deng, and D. Tao
IEEE Trans. Image Process., 2022.(IF20=10.856) -
Incremental Zero-Shot Learning
K. Wei, C. Deng, X. Yang, and D. Tao
IEEE Trans. Cybern., 2021.(IF20=11.448) -
Self-Training with Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-identification
H. Zhang, H. Cao, X. Yang, C. Deng and D. Tao
IEEE Trans. Image Process., 30: 5287-5298, 2021.(IF20=10.856) -
Deep Multi-View Collaborative Clustering
X. Yang, C. Deng, Z. Dang, and D. Tao
IEEE Trans. Neural Netw. Learn. Syst., 2021.(IF20=10.451) -
Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation
X. Yang, C. Deng, T. Liu, and D. Tao
IEEE Trans. Pattern Anal. Mach. Intell., 2020. (IF20=16.389) -
Saliency Detection via a Multiple Self-Weighted Graph-Based Manifold Ranking
C. Deng, X. Yang, F. Nie, and D. Tao
IEEE Trans. Multimed., 2019. (IF20=6.513) -
New L21-Norm Relaxation of Multi-Way Graph Cut for Clustering
X. Yang, C. Deng, X. Liu, and F. Nie
In AAAI Conference on Artificial Intelligence (AAAI), 2018. -
Deep Spectral Clustering Using Dual Autoencoder Network[Paper][Code]
X. Yang, C. Deng, F. Zheng, J. Yan, and W. Liu
In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2019. -
Multi-Scale Fusion Subspace Clustering Using Similarity Constraint
Z. Dang, C. Deng, X. Yang, H. Huang
In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2020. -
Lifelong Zero-shot Learning
K. Wei, C. Deng, X. Yang
In International Joint Conference on Artificial Intelligence (IJCAI), 2020. -
Adversarial Learning for Robust Deep Clustering
X. Yang, C. Deng, K. Wei, J. Yan, and W. Liu
In Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020. -
Incremental Embedding Learning via Zero-Shot Translation
K. Wei, C. Deng, X. Yang and M. Li
In AAAI Conference on Artificial Intelligence (AAAI), 2021. -
SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network[Paper][Code]
X. Yang, C. Deng, Z. Dang, K. Wei, and J. Yan
In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2021. -
Nearest Neighbor Matching for Deep Clustering
Z. Dang, C. Deng, X. Yang, K. Wei, H. Huang
In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2021. -
Graph Debiased Contrastive Learning with Joint Representation Clustering[Code]
H. Zhao, X. Yang, Z. Wang, E. Yang, and C. Deng
In 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021. -
Learning Universal Adversarial Perturbation by Adversarial Example
M. Li, Y. Yang, K. Wei, X. Yang, and H. Huang
In AAAI Conference on Artificial Intelligence (AAAI), 2022. -
Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency
Y. Gu, X. Yang, K. Wei, and C. Deng
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. -
Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning
X. Li, X. Yang, K. Wei, C. Deng, and M. Yang
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. -
Attention-guided Contrastive Hashing for Long-tailed Image Retrieval
X. Kou, C. Xu, X. Yang and C. Deng
In 31th International Joint Conference on Artificial Intelligence (IJCAI), 2022. -
Exploring Safety Supervision for Continual Test-time Domain Adaptation
X. Yang, Y. Ya, K. Wei and C. Deng
In 32th International Joint Conference on Artificial Intelligence (IJCAI), 2023. -
Dynamic Reactive Spiking Graph Neural Network
H. Zhao, X. Yang, C. Deng, and J. Yan.
In Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024. -
Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation
F. Wan, H. Zhao, X. Yang, and C. Deng
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. -
Long-Tail Class Incremental Learning via Independent Sub-prototype Construction
X. Wang, X. Yang, J. Yin, K. Wei, and C. Deng
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. -
A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability
X. Yang, X. Chen, M. Li, K. Wei, and C. Deng
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. -
Unsupervised Graph Transformer with Augmentation-Free Contrastive Learning
H. Zhao, X. Yang, K. Wei, C. Deng, and D. Tao
IEEE Trans. Knowl. Data Eng., 2024. (IF22=8.9) -
Class-Incremental Unsupervised Domain Adaptation via Pseudo-Label Distillation
K. Wei, X. Yang, Z. Xu, and C. Deng
IEEE Trans. Image Process., 33: 1188-1198, 2024. (IF21=11.041) -
Robust Commonsense Reasoning Against Noisy Labels Using Adaptive Correction
X. Yang, C. Deng, K. Wei and D. Tao
IEEE Trans. Cybern., 2024.(IF21=19.118)
1．人工智能，智能信息处理，计算机视觉，深度学习