Wen Wang

Orcid: 0000-0003-2898-3259

Affiliations:

Beijing Jiaotong University, Key Laboratory of Big Data and Artificial Intelligence in Transportation, Beijing, China
Chinese Academy of Sciences, Institute of Computing Technology, Key Laboratory of Intelligent Information Processing, Beijing, China (PhD 2017)

According to our database¹, Wen Wang authored at least 34 papers between 2014 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration.

[BibT_eX]

[DOI]

CoRR, May, 2025

Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts.

[BibT_eX]

[DOI]

CoRR, January, 2025

LECLIP: Boosting Zero-Shot Anomaly Detection With Local Enhanced CLIP.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2025

Decoupled likelihood modeling: A scalable approach for incremental generalized category discovery.

[BibT_eX]

[DOI]

Neurocomputing, 2025

Multi-Scale Rail Surface Anomaly Detection Based on Weighted Multivariate Gaussian Distribution.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2025

2024

CAC: Confidence-Aware Co-Training for Weakly Supervised Crack Segmentation.

[BibT_eX]

[DOI]

Entropy, April, 2024

Spatial-temporal graph-guided global attention network for video-based person re-identification.

[BibT_eX]

[DOI]

Mach. Vis. Appl., January, 2024

CLDiff: Weakly Supervised Cloud Detection With Denoising Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Incremental Learning via Robust Parameter Posterior Fusion.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Class Incremental Learning based on Identically Distributed Parallel One-Class Classifiers.

[BibT_eX]

[DOI]

Neurocomputing, November, 2023

Confidence-adapted meta-interaction for unsupervised person re-identification.

[BibT_eX]

[DOI]

Appl. Intell., November, 2023

Exemplar-free class incremental learning via discriminative and comparable parallel one-class classifiers.

[BibT_eX]

[DOI]

Pattern Recognit., August, 2023

Multi-granularity Pseudo-label Collaboration for unsupervised person re-identification.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., January, 2023

Leveraging Physical Rules for Weakly Supervised Cloud Detection in Remote Sensing Images.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

A General Dual-Branch Framework for Land Cover Mapping Models With Multispectral Data.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2023

Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging.

[BibT_eX]

[DOI]

CoRR, 2023

Decoupling Learning and Remembering: a Bilevel Memory Framework with Knowledge Projection for Task-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

An Unsupervised Multi-Shot Person Re-Identification Method via Mutual Normalized Sparse Representation and Stepwise Learning.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

A zero-shot learning framework via cluster-prototype matching.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

A few-shot fine-grained image classification method leveraging global and local structures.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2022

DCNet: A Deformable Convolutional Cloud Detection Network for Remote Sensing Imagery.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

Semantic Segmentation of Remote Sensing Images With Self-Supervised Semantic-Aware Inpainting.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2022

Distribution and gradient constrained embedding model for zero-shot learning with fewer seen samples.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Fine-Grained Image-Text Retrieval via Discriminative Latent Space Learning.

[BibT_eX]

[DOI]

Min Zheng

Wen Wang

Qingyong Li

IEEE Signal Process. Lett., 2021

Unsupervised Multi-shot Person Re-identification via Dynamic Bi-directional Normalized Sparse Representation.

[BibT_eX]

[DOI]

Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

A Question Answering System for Unstructured Table Images.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2018

Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

2017

Prototype Discriminative Learning for Image Set Classification.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2017

Discriminative Covariance Oriented Representation Learning for Face Recognition with Image Sets.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Prototype Discriminative Learning for Face Image Set Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2016, 2016

2015

Probabilistic nearest neighbor search for robust classification of face image sets.

[BibT_eX]

[DOI]

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

2014

Deeply Coupled Auto-encoder Networks for Cross-view Classification.

[BibT_eX]

[DOI]

CoRR, 2014

Wen Wang

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