师资队伍

H. Zhang, F. Nie, and X. Li, “Large-scale clustering with structured optimal bipartite graph,” IEEE Transactions on Pattern Analysis and Machine Intelligence, (IF: 24.314), in press, 2023. [BibTeX]|[PDF]

H. Zhang, D. Wu, F. Nie, R. Wang and X. Li, “Multilevel projections with adaptive neighbor graph for unsupervised multi-view feature selection,” Information fusion, (IF: 17.564), in press, 2021. [BibTeX]|[PDF]

H. Zhang, F. Nie, and X. Li, “Unified dual-label semi-supervised learning with top-k feature selection,” Neurocomputing, (IF: 5.779), in press, 2021. [BibTeX]|[PDF]

X. Li, H. Zhang, R. Wang and F. Nie, “Multi-view Clustering: a scalable and parameter-free graph fusion method,” IEEE Transactions on Pattern Analysis and Machine Intelligence, (IF: 24.314),  in press, 2021.  [BibTeX]|[PDF]

X. Li, H. Zhang, R. Zhang and F. Nie, “Discriminative and uncorrelated feature selection with constrained spectral analysis in unsupervised learning,” IEEE Transactions on Image Processing, (IF: 10.856),  in press, 2020.  [BibTeX]|[PDF]

F. Nie, H. Zhang, R. Wang and X. Li, “Semi-supervised Clustering via Pairwise Constrained Optimal Graph,” Proceedings of the International Joint Conference on Artificial Intelligence - Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI, CCF A), in press, 2020.  [BibTeX]|[PDF]

F. Nie, H. Zhang, R. Zhang and X. Li, “Robust Multiple Rank-k Bilinear Projections for Unsupervised Learning,” IEEE Transactions on Image Processing (IF: 10.856), in press, 2019.  [BibTeX]|[PDF]

R. Zhang, H. Zhang, X. Li, and F. Nie, “Adaptive robust low-rank 2-D reconstruction with steerable sparsity,” IEEE Transactions on Neural Networks and Learning Systems (IF: 14.255), in press, 2019.  [BibTeX]|[PDF]

X. Li, H. Zhang, R. Zhang, Y. Liu, and F. Nie, “Generalized uncorrelated regression with adaptive graph for unsupervised feature selection,” IEEE Transactions on Neural Networks and Learning Systems (IF: 14.255), in press, 2018.  [BibTeX]|[PDF]

H. Zhang, Y. Li, X. Li, “Constrained bipartite graph learning for imbalanced cross-modal retrieval,” IEEE Transactions on Multimedia, second revision.

H. Zhang, F. Nie, X. Li, “Side-constrained graph fusion for semi-supervised multi-view clustering,” Neurocomputing, second revision.

H. Zhang, Y. Gu, F. Nie, X. Li, “Top-k feature selection in sparse learning via coordinate Descent Method,” IEEE Transactions on Pattern Analysis and Machine Intelligence, on revision.

H. Zhang, X. Qi, F. Nie, X. Li, “Semi-supervised multi-view feature selction via steerable psedo-label learning,” IEEE Transactions on Neural Networks and Learning Systems, on revision.

K. Wang, H. Zhang, X. Li, “Global-to-Local Vision-Language Reasoning for Visual Question Answering in Remote Sensing,” IEEE Transactions on Geoscience and Remote Sensing, on revision.