Wen Wang
Orcid: 0000-0002-6076-9714Affiliations:
- 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 41 papers
between 2014 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
PointGS: Semantic-Consistent Unsupervised 3D Point Cloud Segmentation with 3D Gaussian Splatting.
CoRR, May, 2026
Extending Precipitation Nowcasting Horizons via Spectral Fusion of Radar Observations and Foundation Model Priors.
CoRR, March, 2026
Towards plastic and stable incremental learning: A dual-learner framework with cumulative parameter averaging.
Pattern Recognit., 2026
2025
IEEE Trans. Instrum. Meas., 2025
Decoupled likelihood modeling: A scalable approach for incremental generalized category discovery.
Neurocomputing, 2025
Multi-Scale Rail Surface Anomaly Detection Based on Weighted Multivariate Gaussian Distribution.
IEICE Trans. Inf. Syst., 2025
Entropy, 2025
Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Task Arithmetic in Trust Region: A Training-Free Model Merging Approach to Navigate Knowledge Conflicts.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Speech Token Prediction via Compressed-to-fine Language Modeling for Speech Generation.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
2024
Entropy, April, 2024
Spatial-temporal graph-guided global attention network for video-based person re-identification.
Mach. Vis. Appl., January, 2024
CLDiff: Weakly Supervised Cloud Detection With Denoising Diffusion Probabilistic Models.
IEEE Trans. Geosci. Remote. Sens., 2024
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.
Neurocomputing, November, 2023
Appl. Intell., November, 2023
Exemplar-free class incremental learning via discriminative and comparable parallel one-class classifiers.
Pattern Recognit., August, 2023
Multi-granularity Pseudo-label Collaboration for unsupervised person re-identification.
Comput. Vis. Image Underst., January, 2023
Leveraging Physical Rules for Weakly Supervised Cloud Detection in Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023
A General Dual-Branch Framework for Land Cover Mapping Models With Multispectral Data.
IEEE Geosci. Remote. Sens. Lett., 2023
Towards Plastic and Stable Exemplar-Free Incremental Learning: A Dual-Learner Framework with Cumulative Parameter Averaging.
CoRR, 2023
Decoupling Learning and Remembering: a Bilevel Memory Framework with Knowledge Projection for Task-Incremental Learning.
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.
IEEE Trans. Intell. Transp. Syst., 2022
Pattern Recognit., 2022
A few-shot fine-grained image classification method leveraging global and local structures.
Int. J. Mach. Learn. Cybern., 2022
DCNet: A Deformable Convolutional Cloud Detection Network for Remote Sensing Imagery.
IEEE Geosci. Remote. Sens. Lett., 2022
Semantic Segmentation of Remote Sensing Images With Self-Supervised Semantic-Aware Inpainting.
IEEE Geosci. Remote. Sens. Lett., 2022
Distribution and gradient constrained embedding model for zero-shot learning with fewer seen samples.
Knowl. Based Syst., 2022
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers.
CoRR, 2022
2021
IEEE Signal Process. Lett., 2021
Unsupervised Multi-shot Person Re-identification via Dynamic Bi-directional Normalized Sparse Representation.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2017
IEEE Signal Process. Lett., 2017
Discriminative Covariance Oriented Representation Learning for Face Recognition with Image Sets.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
Proceedings of the Computer Vision - ACCV 2016, 2016
2015
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015
Discriminant analysis on Riemannian manifold of Gaussian distributions for face recognition with image sets.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014