Multiple boosting SVM active learning for image retrieval. - Wei Jiang 007; Guihua Er; Qionghai Dai (ICASSP (3), 2004)

Multi-layer semantic representation learning for image retrieval. - Wei Jiang 007; Guihua Er; Qionghai Dai (ICIP, 2004)

Relevance Feedback Learning With Feature Selection In Region-Based Image Retrieval. - Wei Jiang 007; Guihua Er; Qionghai Dai; Lian Zhong; Yao Hou (ICASSP (2), 2005)

Hidden annotation for image retrieval with long-term relevance feedback learning. - Wei Jiang 007; Guihua Er; Qionghai Dai; Jinwei Gu (Pattern Recognit., 2005)

Similarity-based online feature selection in content-based image retrieval. - Wei Jiang 007; Guihua Er; Qionghai Dai; Jinwei Gu (IEEE Trans. Image Process., 2006)

Subspace Learning Based Low-Rank Representation. - Kewei Tang; Xiaodong Liu 001; Zhixun Su; Wei Jiang 007; Jiangxin Dong (ACCV (1), 2016)

Robust subspace segmentation via nonconvex low rank representation. - Wei Jiang 007; Jing Liu; Heng Qi; Qionghai Dai (Inf. Sci., 2016)

Robust Local Learning and Discriminative Concept Factorization for Data Representation. - Wei Jiang 007; Xiaoting Feng; Tingting Ma; Ling Xing; Kewei Tang (IEEE Access, 2018)

Robust Semisupervised Nonnegative Local Coordinate Factorization for Data Representation. - Wei Jiang 007; Qian Lv; Chenggang Yan 001; Kewei Tang; Jie Zhang 056 (Complex., 2018)

Nonnegative matrix factorization by joint locality-constrained and ℓ 2, 1-norm regularization. - Ling Xing; Hao Dong; Wei Jiang 007; Kewei Tang (Multim. Tools Appl., 2018)

Structure-Constrained Feature Extraction by Autoencoders for Subspace Clustering. - Kewei Tang; Kaiqiang Xu; Zhixun Su; Wei Jiang 007; Xiaonan Luo; Xiyan Sun (ICCV Workshops, 2019)

Superpixels for large dataset subspace clustering. - Kewei Tang; Zhixun Su; Wei Jiang 007; Jie Zhang 056 (Neural Comput. Appl., 2019)

Robust subspace learning-based low-rank representation for manifold clustering. - Kewei Tang; Zhixun Su; Wei Jiang 007; Jie Zhang 056; Xiyan Sun; Xiaonan Luo (Neural Comput. Appl., 2019)

Bayesian rank penalization. - Kewei Tang; Zhixun Su; Jie Zhang 056; Lihong Cui; Wei Jiang 007; Xiaonan Luo; Xiyan Sun (Neural Networks, 2019)

Subspace segmentation with a large number of subspaces using infinity norm minimization. - Kewei Tang; Zhixun Su; Yang Liu 119; Wei Jiang 007; Jie Zhang 056; Xiyan Sun (Pattern Recognit., 2019)

Consistent auto-weighted multi-view subspace clustering. - Kewei Tang; Liying Cao; Nan Zhang; Wei Jiang 007 (Pattern Anal. Appl., 2022)

Robust low tubal rank tensor completion via factor tensor norm minimization. - Wei Jiang 007; Jun Zhang; Changsheng Zhang 005; Lijun Wang; Heng Qi (Pattern Recognit., 2023)

Selecting the Best Part From Multiple Laplacian Autoencoders for Multi-View Subspace Clustering. - Kewei Tang; Kaiqiang Xu; Wei Jiang 007; Zhixun Su; Xiyan Sun; Xiaonan Luo (IEEE Trans. Knowl. Data Eng., 2023)

Orthogonal Tensor Recovery Based on Non-Convex Regularization and Rank Estimation. - Xixiang Chen; Jingjing Zheng; Li Zhao 005; Wei Jiang 007; Xiaoqin Zhang 002 (IEEE Access, 2024)

Adaptive feature alignment network with noise suppression for cross-domain object detection. - Wei Jiang 007; Yujie Luan; Kewei Tang; Lijun Wang; Nan Zhang; Huiling Chen; Heng Qi (Neurocomputing, 2025)

Filtering and denoising: Graph completion-based incomplete multi-view clustering. - Fengyang Ding; Hui Huang; Min Yu; Wei Jiang 007; Zhen Xu; Jun Yin; Nan Zhang (Inf. Fusion, 2026)