Yongqiang Tang

Orcid: 0000-0001-9333-8200

According to our database1, Yongqiang Tang authored at least 45 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Semisupervised Progressive Representation Learning for Deep Multiview Clustering.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Graph Structure Aware Contrastive Multi-View Clustering.
IEEE Trans. Big Data, June, 2024

Deep Survival Analysis With Latent Clustering and Contrastive Learning.
IEEE J. Biomed. Health Informatics, May, 2024

Indirect estimation of pediatric reference interval via density graph deep embedded clustering.
Comput. Biol. Medicine, February, 2024

SASOD: Saliency-Aware Ship Object Detection in High-Resolution Optical Images.
IEEE Trans. Geosci. Remote. Sens., 2024

Dynamic Functional Connectivity Neural Network for Epileptic Seizure Prediction Using Multi-Channel EEG Signal.
IEEE Signal Process. Lett., 2024

Adaptive-weighted deep multi-view clustering with uniform scale representation.
Neural Networks, 2024

Multiview Subspace Tensor Self-Representation for SAR Image Semi-Supervised Classification.
IEEE Geosci. Remote. Sens. Lett., 2024

Learning the long-tail distribution in latent space for Weighted Link Prediction via conditional Invertible Neural Networks.
Knowl. Based Syst., 2024

Learnable faster kernel-PCA for nonlinear fault detection: Deep autoencoder-based realization.
J. Ind. Inf. Integr., 2024

Parallel Dual-Branch Fusion Network for Epileptic Seizure Prediction.
Comput. Biol. Medicine, 2024

LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
A multimodal fusion emotion recognition method based on multitask learning and attention mechanism.
Neurocomputing, November, 2023

IDO: Instance dual-optimization for weakly supervised object detection.
Appl. Intell., November, 2023

Affine Subspace Robust Low-Rank Self-Representation: From Matrix to Tensor.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Active learning with effective scoring functions for semi-supervised temporal action localization.
Displays, July, 2023

Consistency and adversarial semi-supervised learning for medical image segmentation.
Comput. Biol. Medicine, July, 2023

Partial Domain Adaptation by Progressive Sample Learning of Shared Classes.
Neural Process. Lett., June, 2023

Context-aware mutual learning for semi-supervised human activity recognition using wearable sensors.
Expert Syst. Appl., June, 2023

Open set domain adaptation with latent structure discovery and kernelized classifier learning.
Neurocomputing, April, 2023

Meta-path infomax joint structure enhancement for multiplex network representation learning.
Knowl. Based Syst., 2023

Cross-stream contrastive learning for self-supervised skeleton-based action recognition.
Image Vis. Comput., 2023

Cross-Domain Label Propagation for Domain Adaptation with Discriminative Graph Self-Learning.
CoRR, 2023

2022
Constrained Tensor Representation Learning for Multi-View Semi-Supervised Subspace Clustering.
IEEE Trans. Multim., 2022

Inductive Spatiotemporal Graph Convolutional Networks for Short-Term Quantitative Precipitation Forecasting.
IEEE Trans. Geosci. Remote. Sens., 2022

Ship Detection in High-Resolution Optical Remote Sensing Images Aided by Saliency Information.
IEEE Trans. Geosci. Remote. Sens., 2022

One-Step Multiview Subspace Segmentation via Joint Skinny Tensor Learning and Latent Clustering.
IEEE Trans. Cybern., 2022

Deep multi-view semi-supervised clustering with sample pairwise constraints.
Neurocomputing, 2022

Constrained Maximum Cross-Domain Likelihood for Domain Generalization.
CoRR, 2022

Attentive pooling for Group Activity Recognition.
CoRR, 2022

Deep convolutional self-paced clustering.
Appl. Intell., 2022

Mitigating Both Covariate and Conditional Shift for Domain Generalization.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021
Tensor Multi-Elastic Kernel Self-Paced Learning for Time Series Clustering.
IEEE Trans. Knowl. Data Eng., 2021

Improving Domain-Adaptive Person Re-Identification by Dual-Alignment Learning With Camera-Aware Image Generation.
IEEE Trans. Circuits Syst. Video Technol., 2021

Graph Convolutional Regression Networks for Quantitative Precipitation Estimation.
IEEE Geosci. Remote. Sens. Lett., 2021

Quality-related fault diagnosis based on k-nearest neighbor rule for non-linear industrial processes.
Int. J. Distributed Sens. Networks, 2021

2020
Inter-Patient ECG Classification With Symbolic Representations and Multi-Perspective Convolutional Neural Networks.
IEEE J. Biomed. Health Informatics, 2020

Tensor Multi-Task Learning for Person Re-Identification.
IEEE Trans. Image Process., 2020

Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning.
IEEE Trans. Image Process., 2020

Learning to Generate Radar Image Sequences Using Two-Stage Generative Adversarial Networks.
IEEE Geosci. Remote. Sens. Lett., 2020

Multi-scale 2D Representation Learning for weakly-supervised moment retrieval.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2018
Radar and Rain Gauge Merging-Based Precipitation Estimation via Geographical-Temporal Attention Continuous Conditional Random Field.
IEEE Trans. Geosci. Remote. Sens., 2018

2016
Notes on Kolassa's Method for Estimating the Power of Wilcoxon-Mann-Whitney Test.
Commun. Stat. Simul. Comput., 2016

2009
A new chi-square approximation to the distribution of non-negative definite quadratic forms in non-central normal variables.
Comput. Stat. Data Anal., 2009

2007
A consistent nonparametric Bayesian procedure for estimating autoregressive conditional densities.
Comput. Stat. Data Anal., 2007


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