Yang Lu

Orcid: 0000-0002-3497-9611

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
PARFormer: Transformer-Based Multi-Task Network for Pedestrian Attribute Recognition.
IEEE Trans. Circuits Syst. Video Technol., January, 2024

Transitive Vision-Language Prompt Learning for Domain Generalization.
CoRR, 2024

Dynamically Anchored Prompting for Task-Imbalanced Continual Learning.
CoRR, 2024

Frequency Domain Nuances Mining for Visible-Infrared Person Re-identification.
CoRR, 2024

Proposal Distillation of Multi-Modal Feature Aggregation Network for Video Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2024

Spatio-Temporal Correlation Learning for Multiple Object Tracking.
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

Semantic-Guided Network with Contrastive Learning for Video Caption.
Proceedings of the IEEE International Conference on Acoustics, 2024

Federated Learning with Extremely Noisy Clients via Negative Distillation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Feature Fusion from Head to Tail for Long-Tailed Visual Recognition.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Drop Loss for Person Attribute Recognition With Imbalanced Noisy-Labeled Samples.
IEEE Trans. Cybern., November, 2023

TCNet: A Novel Triple-Cooperative Network for Video Object Detection.
IEEE Trans. Circuits Syst. Video Technol., August, 2023

DGRNet: A Dual-Level Graph Relation Network for Video Object Detection.
IEEE Trans. Image Process., 2023

Feature Fusion from Head to Tail: an Extreme Augmenting Strategy for Long-Tailed Visual Recognition.
CoRR, 2023

Adjusting Logit in Gaussian Form for Long-Tailed Visual Recognition.
CoRR, 2023

Federated Semi-Supervised Learning with Annotation Heterogeneity.
CoRR, 2023

Cascaded-Scoring Tracklet Matching for Multi-object Tracking.
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

DeCAB: Debiased Semi-supervised Learning for Imbalanced Open-Set Data.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Long-Tailed Federated Learning Via Aggregated Meta Mapping.
Proceedings of the IEEE International Conference on Image Processing, 2023

Semantic Learning Network for Controllable Video Captioning.
Proceedings of the IEEE International Conference on Image Processing, 2023

Label-Noise Learning with Intrinsically Long-Tailed Data.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DQFORMER: Dynamic Query Transformer for Lane Detection.
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
Motion Consistency Guided Robust Geometric Model Fitting With Severe Outliers.
IEEE Trans. Ind. Electron., 2022

Triplet Relationship Guided Sampling Consensus for Robust Model Estimation.
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

Dual Selection Network for Video Object Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

SCINet: Semantic Cue Infusion Network for Lane Detection.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Guided Sampling Based Feature Aggregation for Video Object Detection.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Egnet: A Novel Edge Guided Network for Instance Segmentation.
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

Multi-Focus Guided Semantic Aggregation for Video Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022

Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Embedding Adaptation Network with Transformer for Few-Shot Action Recognition.
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

Recurrent Context Aggregation Network for Single Image Dehazing.
IEEE Signal Process. Lett., 2021

Small-Vote Sample Selection for Label-Noise Learning.
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

Global and local feature alignment for video object detection.
Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

2019
Hyperspectral image classification using wavelet transform-based smooth ordering.
Int. J. Wavelets Multiresolution Inf. Process., 2019

Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem.
CoRR, 2019

2018
k-Times Markov Sampling for SVMC.
IEEE Trans. Neural Networks Learn. Syst., 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
Hybrid Sampling with Bagging for Class Imbalance Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

2015
The Generalization Ability of Online SVM Classification Based on Markov Sampling.
IEEE Trans. Neural Networks Learn. Syst., 2015

Hyperspectral Image Classification Based on Three-Dimensional Scattering Wavelet Transform.
IEEE Trans. Geosci. Remote. Sens., 2015

The Generalization Ability of SVM Classification Based on Markov Sampling.
IEEE Trans. Cybern., 2015

A Fractal Dimension and Wavelet Transform Based Method for Protein Sequence Similarity Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Learning performance of DAGSVM algorithm based on Markov sampling.
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

Hyperspectral Image Classification Based on Regularized Sparse Representation.
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

Generalization performance of Gaussian kernels SVMC based on Markov sampling.
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

Protein sequence analysis based on fractal-wavelet scheme.
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


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