Deeply Coupled Auto-encoder Networks for Cross-view Classification. - Wen Wang 019; Zhen Cui 001; Hong Chang 001; Shiguang Shan; Xilin Chen 001 (CoRR, 2014)

Probabilistic nearest neighbor search for robust classification of face image sets. - Wen Wang 019; Ruiping Wang 001; Shiguang Shan; Xilin Chen 001 (FG, 2015)

Prototype Discriminative Learning for Face Image Set Classification. - Wen Wang 019; Ruiping Wang 001; Shiguang Shan; Xilin Chen 001 (ACCV (3), 2016)

Discriminative Covariance Oriented Representation Learning for Face Recognition with Image Sets. - Wen Wang 019; Ruiping Wang 001; Shiguang Shan; Xilin Chen 001 (CVPR, 2017)

Prototype Discriminative Learning for Image Set Classification. - Wen Wang 019; Ruiping Wang 001; Shiguang Shan; Xilin Chen 001 (IEEE Signal Process. Lett., 2017)

Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets. - Wen Wang 019; Ruiping Wang 001; Zhiwu Huang; Shiguang Shan; Xilin Chen 001 (IEEE Trans. Image Process., 2018)

TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition. - Wenyuan Xue; Baosheng Yu; Wen Wang 019; Dacheng Tao; Qingyong Li (ICCV, 2021)

A Question Answering System for Unstructured Table Images. - Wenyuan Xue; Siqi Cai; Wen Wang 019; Qingyong Li; Baosheng Yu; Yibing Zhan; Dacheng Tao (ACM Multimedia, 2021)

Unsupervised Multi-shot Person Re-identification via Dynamic Bi-directional Normalized Sparse Representation. - Xiaobao Li; Wen Wang 019; Qingyong Li; Lijun Guo (MMM (1), 2021)

Fine-Grained Image-Text Retrieval via Discriminative Latent Space Learning. - Min Zheng; Wen Wang 019; Qingyong Li (IEEE Signal Process. Lett., 2021)

Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers. - Wenju Sun; Qingyong Li; Jing Zhang 058; Danyu Wang; Wen Wang 019; Yangli-ao Geng (CoRR, 2022)

Distribution and gradient constrained embedding model for zero-shot learning with fewer seen samples. - Jing Zhang 058; Yangli-ao Geng; Wen Wang 019; Wenju Sun; Zhirong Yang; Qingyong Li (Knowl. Based Syst., 2022)

Semantic Segmentation of Remote Sensing Images With Self-Supervised Semantic-Aware Inpainting. - Shuyi He; Qingyong Li; Yang Liu 352; Wen Wang 019 (IEEE Geosci. Remote. Sens. Lett., 2022)

DCNet: A Deformable Convolutional Cloud Detection Network for Remote Sensing Imagery. - Yang Liu 352; Wen Wang 019; Qingyong Li; Min Min; Zhigang Yao (IEEE Geosci. Remote. Sens. Lett., 2022)

A few-shot fine-grained image classification method leveraging global and local structures. - Siyu Cao; Wen Wang 019; Jing Zhang 058; Min Zheng; Qingyong Li (Int. J. Mach. Learn. Cybern., 2022)

A zero-shot learning framework via cluster-prototype matching. - Jing Zhang 058; Qingyong Li; Yangli-ao Geng; Wen Wang 019; Wenju Sun; Chuan Shi 001; Zhengming Ding (Pattern Recognit., 2022)

An Unsupervised Multi-Shot Person Re-Identification Method via Mutual Normalized Sparse Representation and Stepwise Learning. - Xiaobao Li; Qingyong Li; Wen Wang 019; Lijun Guo (IEEE Trans. Intell. Transp. Syst., 2022)

Decoupling Learning and Remembering: a Bilevel Memory Framework with Knowledge Projection for Task-Incremental Learning. - Wenju Sun; Qingyong Li; Jing Zhang 058; Wen Wang 019; Yangli-ao Geng (CVPR, 2023)

Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging. - Wenju Sun; Qingyong Li; Wen Wang 019; Yangli-ao Geng (CoRR, 2023)

A General Dual-Branch Framework for Land Cover Mapping Models With Multispectral Data. - Yuhao Wang; Qingyong Li; Yang Liu 352; Wen Wang 019 (IEEE Geosci. Remote. Sens. Lett., 2023)

Leveraging Physical Rules for Weakly Supervised Cloud Detection in Remote Sensing Images. - Yang Liu 352; Qingyong Li; Xiaobao Li; Shuyi He; Fengjiao Liang; Zhigang Yao; Jun Jiang; Wen Wang 019 (IEEE Trans. Geosci. Remote. Sens., 2023)

Multi-granularity Pseudo-label Collaboration for unsupervised person re-identification. - Xiaobao Li; Qingyong Li; Fengjiao Liang; Wen Wang 019 (Comput. Vis. Image Underst., 2023)

Exemplar-free class incremental learning via discriminative and comparable parallel one-class classifiers. - Wenju Sun; Qingyong Li; Jing Zhang 058; Danyu Wang; Wen Wang 019; Yangli-ao Geng (Pattern Recognit., 2023)

Confidence-adapted meta-interaction for unsupervised person re-identification. - Xiaobao Li; Qingyong Li; Wenyuan Xue; Yang Liu 352; Fengjiao Liang; Wen Wang 019 (Appl. Intell., 2023)

Class Incremental Learning based on Identically Distributed Parallel One-Class Classifiers. - Wenju Sun; Qingyong Li; Jing Zhang 058; Wen Wang 019; Yangli-ao Geng (Neurocomputing, 2023)

Incremental Learning via Robust Parameter Posterior Fusion. - Wenju Sun; Qingyong Li; Siyu Zhang; Wen Wang 019; Yangli-ao Geng (ACM Multimedia, 2024)

CLDiff: Weakly Supervised Cloud Detection With Denoising Diffusion Probabilistic Models. - Yang Liu 352; Qingyong Li; Zhigang Yao; Jun Jiang; Zhijun Tony Qiu; Wen Wang 019 (IEEE Trans. Geosci. Remote. Sens., 2024)

Spatial-temporal graph-guided global attention network for video-based person re-identification. - Xiaobao Li; Wen Wang 019; Qingyong Li; Jiang Zhang (Mach. Vis. Appl., 2024)

CAC: Confidence-Aware Co-Training for Weakly Supervised Crack Segmentation. - Fengjiao Liang; Qingyong Li; Xiaobao Li; Yang Liu 352; Wen Wang 019 (Entropy, 2024)

Multi-Scale Rail Surface Anomaly Detection Based on Weighted Multivariate Gaussian Distribution. - Yuyao Liu; Qingyong Li; Shi Bao; Wen Wang 019 (IEICE Trans. Inf. Syst., 2025)

Decoupled likelihood modeling: A scalable approach for incremental generalized category discovery. - Siyu Zhang; Wenju Sun; Yangli-ao Geng; Qingyong Li; Wen Wang 019 (Neurocomputing, 2025)

LECLIP: Boosting Zero-Shot Anomaly Detection With Local Enhanced CLIP. - Yuyao Liu; Qingyong Li; Zhehong Wang; Jien Kato; Jie Zhang 071; Wen Wang 019 (IEEE Trans. Instrum. Meas., 2025)

Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts. - Wenju Sun; Qingyong Li; Wen Wang 019; Yangli-ao Geng; Boyang Li (CoRR, 2025)

Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration. - Wenju Sun; Qingyong Li; Wen Wang 019; Yang Liu 352; Yangli-ao Geng; Boyang Li (CoRR, 2025)