Qun Dai

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 48

Top Topics

Selection Algorithm

Learning Algorithm

Transfer Learning

Top Venues

Pattern Recognit.

Appl. Soft Comput.

Neural Comput. Appl.

Publications

Huihui Yu, Qun Dai
Self-supervised multi-task learning for medical image analysis. Pattern Recognit. 150 (2024)
Yao Yuan, Wutao Liu, Pan Gao, Qun Dai, Jie Qin
Unified Unsupervised Salient Object Detection via Knowledge Transfer. CoRR (2024)
Tianxiang Wang, Qun Dai
A patch distribution-based active learning method for multiple instance Alzheimer's disease diagnosis. Pattern Recognit. 150 (2024)
Wenjuan Tang, Qun Dai, Fan Hao
Differential Attention Orientated Cascade Network for Infrared Small Target Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Tianxiang Wang, Qun Dai, Muxuan Yuan
Deep Pixel Restoration Loop Coding Network [Application Notes] [Application Notes]. IEEE Comput. Intell. Mag. 18 (2) (2023)
Qiheng Wei, Qun Dai
Adversarial unsupervised domain adaptation based on generative adversarial network for stock trend forecasting. Intell. Data Anal. 27 (5) (2023)
Xin Shen, Qun Dai, Wusat Ullah
An active learning-based incremental deep-broad learning algorithm for unbalanced time series prediction. Inf. Sci. 642 (2023)
Tianxiang Wang, Qun Dai
SURVS: A Swin-Unet and game theory-based unsupervised segmentation method for retinal vessel. Comput. Biol. Medicine 166 (2023)
Jia Xu, Wanjie Tao, Zulong Chen, Jin Huang, Huihui Liu, Hong Wen, Shenghua Ni, Qun Dai, Yu Gu
PlanRanker: Towards Personalized Ranking of Train Transfer Plans. KDD (2023)
Xin Shen, Qun Dai, Gangliang Zhu, Jing Zhang
Dynamic ensemble pruning algorithms fusing meta-learning with heuristic parameter optimization for time series prediction. Expert Syst. Appl. 225 (2023)
Wanjie Tao, Huihui Liu, Xuqi Li, Qun Dai, Hong Wen, Zulong Chen
Event-Aware Adaptive Clustering Uplift Network for Insurance Creative Ranking. SIGIR (2023)
HuiHui Yu, Qun Dai
AE-DIL: A double incremental learning algorithm for non-stationary time series prediction via adaptive ensemble. Inf. Sci. 636 (2023)
Jing Zhang, Qun Dai
MrCAN: Multi-relations aware convolutional attention network for multivariate time series forecasting. Inf. Sci. 643 (2023)
Chenrui Yin, Qun Dai
A deep multivariate time series multistep forecasting network. Appl. Intell. 52 (8) (2022)
Huihui Yu, Qun Dai
DWE-IL: a new incremental learning algorithm for non-stationary time series prediction via dynamically weighting ensemble learning. Appl. Intell. 52 (1) (2022)
Lin Guo, Qun Dai
End-to-end variational graph clustering with local structural preservation. Neural Comput. Appl. 34 (5) (2022)
Lin Guo, Qun Dai
Graph Clustering via Variational Graph Embedding. Pattern Recognit. 122 (2022)
Jing Zhang, Qun Dai
Latent adversarial regularized autoencoder for high-dimensional probabilistic time series prediction. Neural Networks 155 (2022)
Muxuan Yuan, Qun Dai
A novel deep pixel restoration video prediction algorithm integrating attention mechanism. Appl. Intell. 52 (5) (2022)
Han Lu, Qun Dai
A self-supervised COVID-19 CT recognition system with multiple regularizations. Comput. Biol. Medicine 150 (2022)
Rui Ye, Qun Dai
A relationship-aligned transfer learning algorithm for time series forecasting. Inf. Sci. 593 (2022)
Jing Zhang, Qun Dai
A cost-sensitive active learning algorithm: toward imbalanced time series forecasting. Neural Comput. Appl. 34 (9) (2022)
Qitao Gu, Qun Dai
A novel active multi-source transfer learning algorithm for time series forecasting. Appl. Intell. 51 (3) (2021)
Rui Ye, Qun Dai
Implementing transfer learning across different datasets for time series forecasting. Pattern Recognit. 109 (2021)
Jing Zhang, Qun Dai, ChangSheng Yao
: a multiple criteria Dynamic Ensemble Pruning technique ad-hoc for time series prediction. Int. J. Mach. Learn. Cybern. 12 (8) (2021)
Lin Guo, Qun Dai
Laplacian regularized low-rank sparse representation transfer learning. Int. J. Mach. Learn. Cybern. 12 (3) (2021)
Gangliang Zhu, Qun Dai
: a hybrid time series prediction algorithm integrating dynamic ensemble pruning, incremental learning, and kernel density estimation. Appl. Intell. 51 (2) (2021)
Qitao Gu, Qun Dai, HuiHui Yu, Rui Ye
Integrating Multi-Source Transfer Learning, Active Learning and Metric Learning paradigms for Time Series Prediction. Appl. Soft Comput. 109 (2021)
Chunyang Zhang, Qun Dai, Gang Song
DeepCascade-WR: a cascading deep architecture based on weak results for time series prediction. Int. J. Mach. Learn. Cybern. 11 (4) (2020)
Gang Song, Qun Dai, Xiaomeng Han, Lin Guo
Two novel ELM-based stacking deep models focused on image recognition. Appl. Intell. 50 (5) (2020)
ChangSheng Yao, Qun Dai, Gang Song
Several Novel Dynamic Ensemble Selection Algorithms for Time Series Prediction. Neural Process. Lett. 50 (2) (2019)
Rui Ye, Qun Dai, Meiling Li
A hybrid transfer learning algorithm incorporating TrSVM with GASEN. Pattern Recognit. 92 (2019)
Jinhua Li, Qun Dai, Rui Ye
A novel double incremental learning algorithm for time series prediction. Neural Comput. Appl. 31 (10) (2019)
Qun Dai, Lin Guo
Two novel hybrid Self-Organizing Map based emotional learning algorithms. Neural Comput. Appl. 31 (7) (2019)
Jinhua Li, Qun Dai
A new dual weights optimization incremental learning algorithm for time series forecasting. Appl. Intell. 49 (10) (2019)
Rui Ye, Qun Dai
MultiTL-KELM: A multi-task learning algorithm for multi-step-ahead time series prediction. Appl. Soft Comput. 79 (2019)
Xiaomeng Han, Qun Dai
Batch-normalized Mlpconv-wise supervised pre-training network in network. Appl. Intell. 48 (1) (2018)
Meiling Li, Qun Dai
A novel knowledge-leverage-based transfer learning algorithm. Appl. Intell. 48 (8) (2018)
Rui Ye, Qun Dai
A Novel Greedy Randomized Dynamic Ensemble Selection Algorithm. Neural Process. Lett. 47 (2) (2018)
Rui Ye, Qun Dai
A novel transfer learning framework for time series forecasting. Knowl. Based Syst. 156 (2018)
Qun Dai, Rui Ye, Zhuan Liu
Considering diversity and accuracy simultaneously for ensemble pruning. Appl. Soft Comput. 58 (2017)
Qun Dai, ChangSheng Yao
A hierarchical and parallel branch-and-bound ensemble selection algorithm. Appl. Intell. 46 (1) (2017)
Gang Song, Qun Dai
A novel double deep ELMs ensemble system for time series forecasting. Knowl. Based Syst. 134 (2017)
Ting Zhang, Qun Dai
Hybrid ensemble selection algorithm incorporating GRASP with path relinking. Appl. Intell. 44 (3) (2016)
Zhongchen Ma, Qun Dai
Selected an Stacking ELMs for Time Series Prediction. Neural Process. Lett. 44 (3) (2016)
Qun Dai, Gang Song
A novel Supervised Competitive Learning algorithm. Neurocomputing 191 (2016)
Qun Dai, Xiaomeng Han
An efficient ordering-based ensemble pruning algorithm via dynamic programming. Appl. Intell. 44 (4) (2016)
Changjia Wang, Qun Dai
Local well-posedness for Boussinesq approximation with shear dependent viscosities in 3D. Comput. Math. Appl. 72 (1) (2016)
Ting Zhang, Qun Dai, Zhongchen Ma
Extreme learning machines' ensemble selection with GRASP. Appl. Intell. 43 (2) (2015)
Qun Dai, Meiling Li
Introducing randomness into greedy ensemble pruning algorithms. Appl. Intell. 42 (3) (2015)
Qun Dai, Ting Zhang, Ningzhong Liu
A new reverse reduce-error ensemble pruning algorithm. Appl. Soft Comput. 28 (2015)
Zhongchen Ma, Qun Dai, Ningzhong Liu
Several novel evaluation measures for rank-based ensemble pruning with applications to time series prediction. Expert Syst. Appl. 42 (1) (2015)
Zhuan Liu, Qun Dai, Ningzhong Liu
Ensemble selection by GRASP. Appl. Intell. 41 (1) (2014)
Qun Dai, Zhongchen Ma, Qiongyu Xie
A two-phased and Ensemble scheme integrated Backpropagation algorithm. Appl. Soft Comput. 24 (2014)
Qun Dai, Zhuan Liu
ModEnPBT: A Modified Backtracking Ensemble Pruning algorithm. Appl. Soft Comput. 13 (11) (2013)
Qun Dai, Marc Aurel Schnabel
Relationship between Mean Radiant Temperature and Building Type for Pedestrians in Rotterdam. CAAD Futures (2013)
Qun Dai
An efficient ensemble pruning algorithm using One-Path and Two-Trips searching approach. Knowl. Based Syst. 51 (2013)
Qun Dai
A competitive ensemble pruning approach based on cross-validation technique. Knowl. Based Syst. 37 (2013)
Qun Dai
A novel ensemble pruning algorithm based on randomized greedy selective strategy and ballot. Neurocomputing 122 (2013)
Qun Dai
Back-propagation with diversive curiosity: An automatic conversion from search stagnation to exploration. Appl. Soft Comput. 13 (1) (2013)
Qun Dai, Ningzhong Liu
Alleviating the problem of local minima in Backpropagation through competitive learning. Neurocomputing 94 (2012)
Qun Dai, Ningzhong Liu
The build of n-Bits Binary Coding ICBP Ensemble System. Neurocomputing 74 (17) (2011)
Qun Dai
The build of a dynamic classifier selection ICBP system and its application to pattern recognition. Neural Comput. Appl. 19 (1) (2010)
Qun Dai, Songcan Chen
Integrating the improved CBP model with kernel SOM. Neurocomputing 69 (16-18) (2006)
Songcan Chen, Qun Dai
Discounted least squares-improved circular back-propogation neural networks with applications in time series prediction. Neural Comput. Appl. 14 (3) (2005)
Qun Dai, Songcan Chen
Chained DLS-ICBP Neural Networks with Multiple Steps Time Series Prediction. Neural Process. Lett. 21 (2) (2005)
Qun Dai, Songcan Chen, Benzhu Zhang
Improved CBP Neural Network Model with Applications in Time Series Prediction. Neural Process. Lett. 18 (3) (2003)