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.