Yang Lu
Orcid: 0000-0002-3497-9611Affiliations:
- Xiamen University, School of Informatics, China
- Hong Kong Baptist University, Faculty of Science, Hong Kong (PhD 2019)
- University of Macau, Faculty of Science and Technology, Department of Computer and Information Science, Macau (former)
According to our database1,
Yang Lu
authored at least 68 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on orcid.org
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on github.com
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Bibliography
2024
PARFormer: Transformer-Based Multi-Task Network for Pedestrian Attribute Recognition.
IEEE Trans. Circuits Syst. Video Technol., January, 2024
CoRR, 2024
Proposal Distillation of Multi-Modal Feature Aggregation Network for Video Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Visual-Linguistic Representation Learning with Deep Cross-Modality Fusion for Referring Multi-Object Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Cybern., November, 2023
IEEE Trans. Circuits Syst. Video Technol., August, 2023
IEEE Trans. Image Process., 2023
Feature Fusion from Head to Tail: an Extreme Augmenting Strategy for Long-Tailed Visual Recognition.
CoRR, 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
An Effective Visible-Infrared Person Re-identification Network Based on Second-Order Attention and Mixed Intermediate Modality.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Learning to Reconnect Interrupted Trajectories for Weakly Supervised Multi-Object Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2023
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Ind. Electron., 2022
IEEE Signal Process. Lett., 2022
TRL: Transformer based refinement learning for hybrid-supervised semantic segmentation.
Pattern Recognit. Lett., 2022
Combating Noisy-Labeled and Imbalanced Data by Two Stage Bi-Dimensional Sample Selection.
CoRR, 2022
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
Bounding Box Distribution Learning and Center Point Calibration for Robust Visual Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the Asian Conference on Machine Learning, 2022
2021
Self-Adaptive Multiprototype-Based Competitive Learning Approach: A k-Means-Type Algorithm for Imbalanced Data Clustering.
IEEE Trans. Cybern., 2021
IEEE Signal Process. Lett., 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021
Towards a Unified Middle Modality Learning for Visible-Infrared Person Re-Identification.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
2020
Bayes Imbalance Impact Index: A Measure of Class Imbalanced Data Set for Classification Problem.
IEEE Trans. Neural Networks Learn. Syst., 2020
Adaptive Chunk-Based Dynamic Weighted Majority for Imbalanced Data Streams With Concept Drift.
IEEE Trans. Neural Networks Learn. Syst., 2020
Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020
2019
Int. J. Wavelets Multiresolution Inf. Process., 2019
Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem.
CoRR, 2019
2018
2017
Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
2016
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Hyperspectral Image Classification Based on Three-Dimensional Scattering Wavelet Transform.
IEEE Trans. Geosci. Remote. Sens., 2015
IEEE Trans. Cybern., 2015
A Fractal Dimension and Wavelet Transform Based Method for Protein Sequence Similarity Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015
2014
The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling.
IEEE Trans. Cybern., 2014
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Spectral-Spatial Classification of Hyperspectral Image Based on Discriminant Analysis.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Neural Networks, 2014
Feature extraction based on kernel sparse representation for hyperspectral image classification.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
Spectral-spatial hyperspectral image destriping using low-rank representation and Huber-Markov random fields.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
A novel method for protein structure retrieval using tableau representation and sparse coding.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
2013
Graph-based Sparse Representation for Hyperspectral Image Classification.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013
Spectral-spatial linear discriminant analysis for hyperspectral image classification.
Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013
Sparse representation using contextual information for hyperspectral image classification.
Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013