Yang Lu

Hanzi Wang

Pattern Recognit. Lett., 2024

Personalized Federated Learning on long-tailed data via knowledge distillation and generated features.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2024

Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

Personalized Federated Learning on Heterogeneous and Long-Tailed Data via Expert Collaborative Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Transitive Vision-Language Prompt Learning for Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Semi-supervised Visible-Infrared Person Re-identification via Modality Unification and Confidence Guidance.

[BibT_eX]

[DOI]

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

Robust Pseudo-label Learning with Neighbor Relation for Unsupervised Visible-Infrared Person Re-Identification.

[BibT_eX]

[DOI]

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

Diverse Consensuses Paired with Motion Estimation-Based Multi-Model Fitting.

[BibT_eX]

[DOI]

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

Clustering by Learning the Ordinal Relationships of Qualitative Attribute Values.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Dynamically Anchored Prompting for Task-Imbalanced Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Proposal Distillation of Multi-Modal Feature Aggregation Network for Video Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Spatio-Temporal Correlation Learning for Multiple Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Visual-Linguistic Representation Learning with Deep Cross-Modality Fusion for Referring Multi-Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Semantic-Guided Network with Contrastive Learning for Video Caption.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Learning Order Forest for Qualitative-Attribute Data Clustering.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Federated Learning with Extremely Noisy Clients via Negative Distillation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Feature Fusion from Head to Tail for Long-Tailed Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Drop Loss for Person Attribute Recognition With Imbalanced Noisy-Labeled Samples.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., November, 2023

TCNet: A Novel Triple-Cooperative Network for Video Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., August, 2023

DGRNet: A Dual-Level Graph Relation Network for Video Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Federated Semi-Supervised Learning with Annotation Heterogeneity.

[BibT_eX]

[DOI]

CoRR, 2023

Unsupervised Concept Drift Detection via Imbalanced Cluster Discriminator Learning.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Cascaded-Scoring Tracklet Matching for Multi-object Tracking.

[BibT_eX]

[DOI]

Yixian Xie

Hanzi Wang

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.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

DeCAB: Debiased Semi-supervised Learning for Imbalanced Open-Set Data.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Long-Tailed Federated Learning Via Aggregated Meta Mapping.

[BibT_eX]

[DOI]

Pinxin Qian

Hanzi Wang

Proceedings of the IEEE International Conference on Image Processing, 2023

Semantic Learning Network for Controllable Video Captioning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2023

Label-Noise Learning with Intrinsically Long-Tailed Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DQFORMER: Dynamic Query Transformer for Lane Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Learning to Reconnect Interrupted Trajectories for Weakly Supervised Multi-Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation.

[BibT_eX]

[DOI]

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

2022

Motion Consistency Guided Robust Geometric Model Fitting With Severe Outliers.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2022

Triplet Relationship Guided Sampling Consensus for Robust Model Estimation.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2022

TRL: Transformer based refinement learning for hybrid-supervised semantic segmentation.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2022

Combating Noisy-Labeled and Imbalanced Data by Two Stage Bi-Dimensional Sample Selection.

[BibT_eX]

[DOI]

CoRR, 2022

Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Dual Selection Network for Video Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

SCINet: Semantic Cue Infusion Network for Lane Detection.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Guided Sampling Based Feature Aggregation for Video Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Egnet: A Novel Edge Guided Network for Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Bounding Box Distribution Learning and Center Point Calibration for Robust Visual Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Multi-Focus Guided Semantic Aggregation for Video Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment.

[BibT_eX]

[DOI]

Mengke Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

Recurrent Context Aggregation Network for Single Image Dehazing.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2021

Small-Vote Sample Selection for Label-Noise Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Adaptive Chunk-Based Dynamic Weighted Majority for Imbalanced Data Streams With Concept Drift.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Global and local feature alignment for video object detection.

[BibT_eX]

[DOI]

Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

2019

Hyperspectral image classification using wavelet transform-based smooth ordering.

[BibT_eX]

[DOI]

Int. J. Wavelets Multiresolution Inf. Process., 2019

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

[BibT_eX]

[DOI]

Yiu-ming Cheung

CoRR, 2019

2018

k-Times Markov Sampling for SVMC.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift.

[BibT_eX]

[DOI]

Yiu-ming Cheung

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Hybrid Sampling with Bagging for Class Imbalance Learning.

[BibT_eX]

[DOI]

Yiu-ming Cheung

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

2015

The Generalization Ability of Online SVM Classification Based on Markov Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Hyperspectral Image Classification Based on Three-Dimensional Scattering Wavelet Transform.

[BibT_eX]

[DOI]

Haoliang Yuan

IEEE Trans. Geosci. Remote. Sens., 2015

The Generalization Ability of SVM Classification Based on Markov Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

A Fractal Dimension and Wavelet Transform Based Method for Protein Sequence Similarity Analysis.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Learning performance of DAGSVM algorithm based on Markov sampling.

[BibT_eX]

[DOI]

Jie Xu

Bin Zou

Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015

2014

The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

Hyperspectral Image Classification Based on Regularized Sparse Representation.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Spectral-Spatial Classification of Hyperspectral Image Based on Discriminant Analysis.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Generalization performance of Gaussian kernels SVMC based on Markov sampling.

[BibT_eX]

[DOI]

Neural Networks, 2014

Feature extraction based on kernel sparse representation for hyperspectral image classification.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Protein sequence analysis based on fractal-wavelet scheme.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2013

Graph-based Sparse Representation for Hyperspectral Image Classification.

[BibT_eX]

Haoliang Yuan