Qun Dai

According to our database, Qun Dai authored at least 72 papers between 2003 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Attribute reduction using self-information uncertainty measures in optimistic neighborhood extreme-granulation rough set.

Kanglin Qu, Pan Gao, Qun Dai, Yuanhao Sun, Xu Hua

Inf. Sci., 2025

A self-supervised semi-supervised echocardiographic video left ventricle segmentation method.

Tianxiang Wang, Qun Dai

Biomed. Signal Process. Control., 2025

2024

Collaboration or Competition: An Infomax-Based Period-Aware Transformer for Ticket-Grabbing Prediction.

Wanjie Tao, Huihui Liu, Jia Xu, Qun Dai, Jing Zhou, Hong Wen, Zulong Chen

IEEE Trans. Intell. Transp. Syst., December, 2024

An Efficient Knowledge Distillation-Based Detection Method for Infrared Small Targets.

Wenjuan Tang, Qun Dai, Fan Hao

Remote. Sens., September, 2024

Differential Attention Orientated Cascade Network for Infrared Small Target Detection.

Wenjuan Tang, Qun Dai, Fan Hao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Self-supervised multi-task learning for medical image analysis.

Huihui Yu, Qun Dai

Pattern Recognit., 2024

A patch distribution-based active learning method for multiple instance Alzheimer's disease diagnosis.

Tianxiang Wang, Qun Dai

Pattern Recognit., 2024

GrokLST: Towards High-Resolution Benchmark and Toolkit for Land Surface Temperature Downscaling.

Qun Dai, Chunyang Yuan, Yimian Dai, Yuxuan Li, Xiang Li, Kang Ni, Jianhui Xu, Xiangbo Shu, Jian Yang

CoRR, 2024

Unified Unsupervised Salient Object Detection via Knowledge Transfer.

Yao Yuan, Wutao Liu, Pan Gao, Qun Dai, Jie Qin

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

2023

SURVS: A Swin-Unet and game theory-based unsupervised segmentation method for retinal vessel.

Tianxiang Wang, Qun Dai

Comput. Biol. Medicine, November, 2023

Dynamic ensemble pruning algorithms fusing meta-learning with heuristic parameter optimization for time series prediction.

Xin Shen, Qun Dai, Gangliang Zhu, Jing Zhang

Expert Syst. Appl., September, 2023

AE-DIL: A double incremental learning algorithm for non-stationary time series prediction via adaptive ensemble.

HuiHui Yu, Qun Dai

Inf. Sci., July, 2023

Deep Pixel Restoration Loop Coding Network [Application Notes] [Application Notes].

Tianxiang Wang, Qun Dai, Muxuan Yuan

IEEE Comput. Intell. Mag., May, 2023

MrCAN: Multi-relations aware convolutional attention network for multivariate time series forecasting.

Jing Zhang, Qun Dai

Inf. Sci., 2023

An active learning-based incremental deep-broad learning algorithm for unbalanced time series prediction.

Xin Shen, Qun Dai, Wusat Ullah

Inf. Sci., 2023

Adversarial unsupervised domain adaptation based on generative adversarial network for stock trend forecasting.

Qiheng Wei, Qun Dai

Intell. Data Anal., 2023

Event-Aware Adaptive Clustering Uplift Network for Insurance Creative Ranking.

Wanjie Tao, Huihui Liu, Xuqi Li, Qun Dai, Hong Wen, Zulong Chen

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

PlanRanker: Towards Personalized Ranking of Train Transfer Plans.

Jia Xu, Wanjie Tao, Zulong Chen, Jin Huang, Huihui Liu, Hong Wen, Shenghua Ni, Qun Dai, Yu Gu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Graph Clustering via Variational Graph Embedding.

Lin Guo, Qun Dai

Pattern Recognit., 2022

Latent adversarial regularized autoencoder for high-dimensional probabilistic time series prediction.

Jing Zhang, Qun Dai

Neural Networks, 2022

A cost-sensitive active learning algorithm: toward imbalanced time series forecasting.

Jing Zhang, Qun Dai

Neural Comput. Appl., 2022

End-to-end variational graph clustering with local structural preservation.

Lin Guo, Qun Dai

Neural Comput. Appl., 2022

A relationship-aligned transfer learning algorithm for time series forecasting.

Rui Ye, Qun Dai

Inf. Sci., 2022

A self-supervised COVID-19 CT recognition system with multiple regularizations.

Han Lu, Qun Dai

Comput. Biol. Medicine, 2022

A novel deep pixel restoration video prediction algorithm integrating attention mechanism.

Muxuan Yuan, Qun Dai

Appl. Intell., 2022

DWE-IL: a new incremental learning algorithm for non-stationary time series prediction via dynamically weighting ensemble learning.

HuiHui Yu, Qun Dai

Appl. Intell., 2022

A deep multivariate time series multistep forecasting network.

Chenrui Yin, Qun Dai

Appl. Intell., 2022

2021

Implementing transfer learning across different datasets for time series forecasting.

Rui Ye, Qun Dai

Pattern Recognit., 2021

DEP-TSP^meta: a multiple criteria Dynamic Ensemble Pruning technique ad-hoc for time series prediction.

Jing Zhang, Qun Dai, ChangSheng Yao

Int. J. Mach. Learn. Cybern., 2021

Laplacian regularized low-rank sparse representation transfer learning.

Lin Guo, Qun Dai

Int. J. Mach. Learn. Cybern., 2021

Integrating Multi-Source Transfer Learning, Active Learning and Metric Learning paradigms for Time Series Prediction.

Qitao Gu, Qun Dai, HuiHui Yu, Rui Ye

Appl. Soft Comput., 2021

EnsP^KDE&IncL^KDE: a hybrid time series prediction algorithm integrating dynamic ensemble pruning, incremental learning, and kernel density estimation.

Gangliang Zhu, Qun Dai

Appl. Intell., 2021

A novel active multi-source transfer learning algorithm for time series forecasting.

Qitao Gu, Qun Dai

Appl. Intell., 2021

2020

DeepCascade-WR: a cascading deep architecture based on weak results for time series prediction.

Chunyang Zhang, Qun Dai, Gang Song

Int. J. Mach. Learn. Cybern., 2020

Two novel ELM-based stacking deep models focused on image recognition.

Gang Song, Qun Dai, Xiaomeng Han, Lin Guo

Appl. Intell., 2020

2019

A hybrid transfer learning algorithm incorporating TrSVM with GASEN.

Rui Ye, Qun Dai, Meiling Li

Pattern Recognit., 2019

Several Novel Dynamic Ensemble Selection Algorithms for Time Series Prediction.

ChangSheng Yao, Qun Dai, Gang Song

Neural Process. Lett., 2019

A novel double incremental learning algorithm for time series prediction.

Jinhua Li, Qun Dai, Rui Ye

Neural Comput. Appl., 2019

Two novel hybrid Self-Organizing Map based emotional learning algorithms.

Qun Dai, Lin Guo

Neural Comput. Appl., 2019

MultiTL-KELM: A multi-task learning algorithm for multi-step-ahead time series prediction.

Rui Ye, Qun Dai

Appl. Soft Comput., 2019

A new dual weights optimization incremental learning algorithm for time series forecasting.

Jinhua Li, Qun Dai

Appl. Intell., 2019

2018

A Novel Greedy Randomized Dynamic Ensemble Selection Algorithm.

Rui Ye, Qun Dai

Neural Process. Lett., 2018

A novel transfer learning framework for time series forecasting.

Rui Ye, Qun Dai

Knowl. Based Syst., 2018

A novel knowledge-leverage-based transfer learning algorithm.

Meiling Li, Qun Dai

Appl. Intell., 2018

Batch-normalized Mlpconv-wise supervised pre-training network in network.

Xiaomeng Han, Qun Dai

Appl. Intell., 2018

2017

A novel double deep ELMs ensemble system for time series forecasting.

Gang Song, Qun Dai

Knowl. Based Syst., 2017

Considering diversity and accuracy simultaneously for ensemble pruning.

Qun Dai, Rui Ye, Zhuan Liu

Appl. Soft Comput., 2017

A hierarchical and parallel branch-and-bound ensemble selection algorithm.

Qun Dai, ChangSheng Yao

Appl. Intell., 2017

2016

Selected an Stacking ELMs for Time Series Prediction.

Zhongchen Ma, Qun Dai

Neural Process. Lett., 2016

A novel Supervised Competitive Learning algorithm.

Qun Dai, Gang Song

Neurocomputing, 2016

Local well-posedness for Boussinesq approximation with shear dependent viscosities in 3D.

Changjia Wang, Qun Dai

Comput. Math. Appl., 2016

Hybrid ensemble selection algorithm incorporating GRASP with path relinking.

Ting Zhang, Qun Dai

Appl. Intell., 2016

An efficient ordering-based ensemble pruning algorithm via dynamic programming.

Qun Dai, Xiaomeng Han

Appl. Intell., 2016

2015

Several novel evaluation measures for rank-based ensemble pruning with applications to time series prediction.

Zhongchen Ma, Qun Dai, Ningzhong Liu

Expert Syst. Appl., 2015

A new reverse reduce-error ensemble pruning algorithm.

Qun Dai, Ting Zhang, Ningzhong Liu

Appl. Soft Comput., 2015

Extreme learning machines' ensemble selection with GRASP.

Ting Zhang, Qun Dai, Zhongchen Ma

Appl. Intell., 2015

Introducing randomness into greedy ensemble pruning algorithms.

Qun Dai, Meiling Li

Appl. Intell., 2015

2014

A two-phased and Ensemble scheme integrated Backpropagation algorithm.

Qun Dai, Zhongchen Ma, Qiongyu Xie

Appl. Soft Comput., 2014

Ensemble selection by GRASP.

Zhuan Liu, Qun Dai, Ningzhong Liu

Appl. Intell., 2014

2013

An efficient ensemble pruning algorithm using One-Path and Two-Trips searching approach.

Qun Dai

Knowl. Based Syst., 2013

A competitive ensemble pruning approach based on cross-validation technique.

Qun Dai

Knowl. Based Syst., 2013

A novel ensemble pruning algorithm based on randomized greedy selective strategy and ballot.

Qun Dai

Neurocomputing, 2013

ModEnPBT: A Modified Backtracking Ensemble Pruning algorithm.

Qun Dai, Zhuan Liu

Appl. Soft Comput., 2013

Back-propagation with diversive curiosity: An automatic conversion from search stagnation to exploration.

Qun Dai

Appl. Soft Comput., 2013

Relationship between Mean Radiant Temperature and Building Type for Pedestrians in Rotterdam.

Qun Dai, Marc Aurel Schnabel

Proceedings of the Global Design and Local Materialization - 15th International Conference, 2013

2012

Alleviating the problem of local minima in Backpropagation through competitive learning.

Qun Dai, Ningzhong Liu

Neurocomputing, 2012

2011

The build of n-Bits Binary Coding ICBP Ensemble System.

Qun Dai, Ningzhong Liu

Neurocomputing, 2011

2010

The build of a dynamic classifier selection ICBP system and its application to pattern recognition.

Qun Dai

Neural Comput. Appl., 2010

2006

Integrating the improved CBP model with kernel SOM.

Qun Dai, Songcan Chen

Neurocomputing, 2006

2005

Chained DLS-ICBP Neural Networks with Multiple Steps Time Series Prediction.

Qun Dai, Songcan Chen

Neural Process. Lett., 2005

Discounted least squares-improved circular back-propogation neural networks with applications in time series prediction.

Songcan Chen, Qun Dai

Neural Comput. Appl., 2005

2003

Improved CBP Neural Network Model with Applications in Time Series Prediction.

Qun Dai, Songcan Chen, Benzhu Zhang

Neural Process. Lett., 2003