Qun Dai - RankMe

94 papers A* 6Journal 86Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	3D-NoduleNet: A comprehensive framework for benign and malignant pulmonary nodule classification. Appl. Soft Comput. HuiHui Yu, Qun Dai, Yanfu Wu
2026	J	`jnl`	CE-AH: A contrast-enhanced attention hierarchical network for Alzheimer's disease diagnosis based on structural MRI. Pattern Recognit. Tianxiang Wang, Qun Dai, Han Lu
2026	A*	`conf`	CloudMamba: Grouped Selective State Spaces for Point Cloud Analysis. AAAI Kanglin Qu, Pan Gao, Qun Dai, Zhanzhi Ye, Rui Ye, Yuanhao Sun
2026	J	`jnl`	Exploring cognitive workload recognition using CogRepLKNet with EEG-fMRI. Neural Networks Yang Shao, Yueying Zhou, Xuyun Wen, Peiliang Gong, Qun Dai, Daoqiang Zhang
2026	J	`jnl`	Hierarchical prediction of irregular multivariate time series from a multi-granularity perspective. Inf. Process. Manag. Jing Zhang, HuiHui Yu, Rui Ye, Qun Dai
2026	J	`jnl`	Infrared small target detection using multi-scale attention and dilated separable convolution. Appl. Intell. Wenjuan Tang, Qun Dai, Yuning Zhu, Rui Ma
2026	J	`jnl`	PillarCoder: An Efficient and Lightweight Attention Network With Pillarization for Point Cloud Learning. IEEE Trans. Emerg. Top. Comput. Intell. Kanglin Qu, Pan Gao, Qun Dai, Lijuan Zhang, Yuanhao Sun, Xu Hua, Manoranjan Paul
2026	A*	`conf`	Rethinking MoE with Retrieval-Memory Synergy: Towards Efficient Expert Coordination. WWW Wanjie Tao, Qun Dai, Yantong Lv, Quan Lu, Ning Jiang, Zulong Chen
2025	J	`jnl`	A 3D efficient and essentialized swin transformer network for alzheimer's disease diagnosis. Appl. Intell. Shengchao Huang, Qun Dai
2025	J	`jnl`	A 3D-CNN and multi-loss video prediction architecture. Appl. Intell. Ziru Qin, Qun Dai
2025	J	`jnl`	A Data-Level Augmentation Framework for Time Series Forecasting With Ambiguously Related Source Data. IEEE Trans. Knowl. Data Eng. Rui Ye, Qun Dai
2025	J	`jnl`	A self-supervised semi-supervised echocardiographic video left ventricle segmentation method. Biomed. Signal Process. Control. Tianxiang Wang, Qun Dai
2025	J	`jnl`	Attribute reduction using self-information uncertainty measures in optimistic neighborhood extreme-granulation rough set. Inf. Sci. Kanglin Qu, Pan Gao, Qun Dai, Yuanhao Sun, Xu Hua
2025	J	`jnl`	CloudMamba: Grouped Selective State Spaces for Point Cloud Analysis. CoRR Kanglin Qu, Pan Gao, Qun Dai, Zhanzhi Ye, Rui Ye, Yuanhao Sun
2025	—	`conf`	Dynamic Topic Segmentation in Dialogues: Enhancing Boundaries with Topic-Aware Propagation. WWW (Companion Volume) Yantong Lv, Wanjie Tao, Qun Dai, Zulong Chen, Quan Lu, Ning Jiang
2025	J	`jnl`	Escarcitys: A framework for enhancing medical image classification performance in scarcity of trainable samples scenarios. Neural Networks Tianxiang Wang, Qun Dai, Wei Xiong
2025	A*	`conf`	HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning. ACM Multimedia Kanglin Qu, Pan Gao, Qun Dai, Yuanhao Sun
2025	J	`jnl`	HydraMamba: Multi-Head State Space Model for Global Point Cloud Learning. CoRR Kanglin Qu, Pan Gao, Qun Dai, Yuanhao Sun
2025	J	`jnl`	InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions. CoRR Liangjian Wen, Qun Dai, Jianzhuang Liu, Jiangtao Zheng, Yong Dai, Dongkai Wang, Zhao Kang, Jun Wang, Zenglin Xu, Jiang Duan
2025	J	`jnl`	MoCoLSK: Modality-Conditioned High-Resolution Downscaling for Land Surface Temperature. IEEE Trans. Geosci. Remote. Sens. Qun Dai, Chunyang Yuan, Yimian Dai, Yuxuan Li, Xiang Li, Kang Ni, Jianhui Xu, Xiangbo Shu, Jian Yang
2025	J	`jnl`	Uncertainty Guided Refinement for Fine-Grained Salient Object Detection. CoRR Yao Yuan, Pan Gao, Qun Dai, Jie Qin, Wei Xiang
2025	J	`jnl`	Uncertainty-Guided Refinement for Fine-Grained Salient Object Detection. IEEE Trans. Image Process. Yao Yuan, Pan Gao, Qun Dai, Jie Qin, Wei Xiang
2025	J	`jnl`	iBACon: imBalance-Aware Contrastive Learning for Time Series Forecasting. IEEE Trans. Knowl. Data Eng. Jing Zhang, Qun Dai, Rui Ye
2024	J	`jnl`	A patch distribution-based active learning method for multiple instance Alzheimer's disease diagnosis. Pattern Recognit. Tianxiang Wang, Qun Dai
2024	J	`jnl`	An Efficient Knowledge Distillation-Based Detection Method for Infrared Small Targets. Remote. Sens. Wenjuan Tang, Qun Dai, Fan Hao
2024	J	`jnl`	Collaboration or Competition: An Infomax-Based Period-Aware Transformer for Ticket-Grabbing Prediction. IEEE Trans. Intell. Transp. Syst. Wanjie Tao, Huihui Liu, Jia Xu, Qun Dai, Jing Zhou, Hong Wen, Zulong Chen
2024	J	`jnl`	Differential Attention Orientated Cascade Network for Infrared Small Target Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Wenjuan Tang, Qun Dai, Fan Hao
2024	J	`jnl`	GrokLST: Towards High-Resolution Benchmark and Toolkit for Land Surface Temperature Downscaling. CoRR Qun Dai, Chunyang Yuan, Yimian Dai, Yuxuan Li, Xiang Li, Kang Ni, Jianhui Xu, Xiangbo Shu, Jian Yang
2024	J	`jnl`	Self-supervised multi-task learning for medical image analysis. Pattern Recognit. HuiHui Yu, Qun Dai
2024	A*	`conf`	Unified Unsupervised Salient Object Detection via Knowledge Transfer. IJCAI Yao Yuan, Wutao Liu, Pan Gao, Qun Dai, Jie Qin
2024	J	`jnl`	Unified Unsupervised Salient Object Detection via Knowledge Transfer. CoRR Yao Yuan, Wutao Liu, Pan Gao, Qun Dai, Jie Qin
2023	J	`jnl`	AE-DIL: A double incremental learning algorithm for non-stationary time series prediction via adaptive ensemble. Inf. Sci. HuiHui Yu, Qun Dai
2023	J	`jnl`	Adversarial unsupervised domain adaptation based on generative adversarial network for stock trend forecasting. Intell. Data Anal. Qiheng Wei, Qun Dai
2023	J	`jnl`	An active learning-based incremental deep-broad learning algorithm for unbalanced time series prediction. Inf. Sci. Xin Shen, Qun Dai, Wusat Ullah
2023	J	`jnl`	Deep Pixel Restoration Loop Coding Network [Application Notes] [Application Notes]. IEEE Comput. Intell. Mag. Tianxiang Wang, Qun Dai, Muxuan Yuan
2023	J	`jnl`	Dynamic ensemble pruning algorithms fusing meta-learning with heuristic parameter optimization for time series prediction. Expert Syst. Appl. Xin Shen, Qun Dai, Gangliang Zhu, Jing Zhang
2023	A*	`conf`	Event-Aware Adaptive Clustering Uplift Network for Insurance Creative Ranking. SIGIR Wanjie Tao, Huihui Liu, Xuqi Li, Qun Dai, Hong Wen, Zulong Chen
2023	J	`jnl`	MrCAN: Multi-relations aware convolutional attention network for multivariate time series forecasting. Inf. Sci. Jing Zhang, Qun Dai
2023	A*	`conf`	PlanRanker: Towards Personalized Ranking of Train Transfer Plans. KDD Jia Xu, Wanjie Tao, Zulong Chen, Jin Huang, Huihui Liu, Hong Wen, Shenghua Ni, Qun Dai, Yu Gu
2023	J	`jnl`	SURVS: A Swin-Unet and game theory-based unsupervised segmentation method for retinal vessel. Comput. Biol. Medicine Tianxiang Wang, Qun Dai
2022	J	`jnl`	A cost-sensitive active learning algorithm: toward imbalanced time series forecasting. Neural Comput. Appl. Jing Zhang, Qun Dai
2022	J	`jnl`	A deep multivariate time series multistep forecasting network. Appl. Intell. Chenrui Yin, Qun Dai
2022	J	`jnl`	A novel deep pixel restoration video prediction algorithm integrating attention mechanism. Appl. Intell. Muxuan Yuan, Qun Dai
2022	J	`jnl`	A relationship-aligned transfer learning algorithm for time series forecasting. Inf. Sci. Rui Ye, Qun Dai
2022	J	`jnl`	A self-supervised COVID-19 CT recognition system with multiple regularizations. Comput. Biol. Medicine Han Lu, Qun Dai
2022	J	`jnl`	DWE-IL: a new incremental learning algorithm for non-stationary time series prediction via dynamically weighting ensemble learning. Appl. Intell. HuiHui Yu, Qun Dai
2022	J	`jnl`	End-to-end variational graph clustering with local structural preservation. Neural Comput. Appl. Lin Guo, Qun Dai
2022	J	`jnl`	Graph Clustering via Variational Graph Embedding. Pattern Recognit. Lin Guo, Qun Dai
2022	J	`jnl`	Latent adversarial regularized autoencoder for high-dimensional probabilistic time series prediction. Neural Networks Jing Zhang, Qun Dai
2021	J	`jnl`	A novel active multi-source transfer learning algorithm for time series forecasting. Appl. Intell. Qitao Gu, Qun Dai
2021	J	`jnl`	DEP-TSP Int. J. Mach. Learn. Cybern. Jing Zhang, Qun Dai, ChangSheng Yao
2021	J	`jnl`	EnsP Appl. Intell. Gangliang Zhu, Qun Dai
2021	J	`jnl`	Implementing transfer learning across different datasets for time series forecasting. Pattern Recognit. Rui Ye, Qun Dai
2021	J	`jnl`	Integrating Multi-Source Transfer Learning, Active Learning and Metric Learning paradigms for Time Series Prediction. Appl. Soft Comput. Qitao Gu, Qun Dai, HuiHui Yu, Rui Ye
2021	J	`jnl`	Laplacian regularized low-rank sparse representation transfer learning. Int. J. Mach. Learn. Cybern. Lin Guo, Qun Dai
2020	J	`jnl`	DeepCascade-WR: a cascading deep architecture based on weak results for time series prediction. Int. J. Mach. Learn. Cybern. Chunyang Zhang, Qun Dai, Gang Song
2020	J	`jnl`	Two novel ELM-based stacking deep models focused on image recognition. Appl. Intell. Gang Song, Qun Dai, Xiaomeng Han, Lin Guo
2019	J	`jnl`	A hybrid transfer learning algorithm incorporating TrSVM with GASEN. Pattern Recognit. Rui Ye, Qun Dai, Meiling Li
2019	J	`jnl`	A new dual weights optimization incremental learning algorithm for time series forecasting. Appl. Intell. Jinhua Li, Qun Dai
2019	J	`jnl`	A novel double incremental learning algorithm for time series prediction. Neural Comput. Appl. Jinhua Li, Qun Dai, Rui Ye
2019	J	`jnl`	MultiTL-KELM: A multi-task learning algorithm for multi-step-ahead time series prediction. Appl. Soft Comput. Rui Ye, Qun Dai
2019	J	`jnl`	Several Novel Dynamic Ensemble Selection Algorithms for Time Series Prediction. Neural Process. Lett. ChangSheng Yao, Qun Dai, Gang Song
2019	J	`jnl`	Two novel hybrid Self-Organizing Map based emotional learning algorithms. Neural Comput. Appl. Qun Dai, Lin Guo
2018	J	`jnl`	A Novel Greedy Randomized Dynamic Ensemble Selection Algorithm. Neural Process. Lett. Rui Ye, Qun Dai
2018	J	`jnl`	A novel knowledge-leverage-based transfer learning algorithm. Appl. Intell. Meiling Li, Qun Dai
2018	J	`jnl`	A novel transfer learning framework for time series forecasting. Knowl. Based Syst. Rui Ye, Qun Dai
2018	J	`jnl`	Batch-normalized Mlpconv-wise supervised pre-training network in network. Appl. Intell. Xiaomeng Han, Qun Dai
2017	J	`jnl`	A hierarchical and parallel branch-and-bound ensemble selection algorithm. Appl. Intell. Qun Dai, ChangSheng Yao
2017	J	`jnl`	A novel double deep ELMs ensemble system for time series forecasting. Knowl. Based Syst. Gang Song, Qun Dai
2017	J	`jnl`	Considering diversity and accuracy simultaneously for ensemble pruning. Appl. Soft Comput. Qun Dai, Rui Ye, Zhuan Liu
2016	J	`jnl`	A novel Supervised Competitive Learning algorithm. Neurocomputing Qun Dai, Gang Song
2016	J	`jnl`	An efficient ordering-based ensemble pruning algorithm via dynamic programming. Appl. Intell. Qun Dai, Xiaomeng Han
2016	J	`jnl`	Hybrid ensemble selection algorithm incorporating GRASP with path relinking. Appl. Intell. Ting Zhang, Qun Dai
2016	J	`jnl`	Local well-posedness for Boussinesq approximation with shear dependent viscosities in 3D. Comput. Math. Appl. Changjia Wang, Qun Dai
2016	J	`jnl`	Selected an Stacking ELMs for Time Series Prediction. Neural Process. Lett. Zhongchen Ma, Qun Dai
2015	J	`jnl`	A new reverse reduce-error ensemble pruning algorithm. Appl. Soft Comput. Qun Dai, Ting Zhang, Ningzhong Liu
2015	J	`jnl`	Extreme learning machines' ensemble selection with GRASP. Appl. Intell. Ting Zhang, Qun Dai, Zhongchen Ma
2015	J	`jnl`	Introducing randomness into greedy ensemble pruning algorithms. Appl. Intell. Qun Dai, Meiling Li
2015	J	`jnl`	Several novel evaluation measures for rank-based ensemble pruning with applications to time series prediction. Expert Syst. Appl. Zhongchen Ma, Qun Dai, Ningzhong Liu
2014	J	`jnl`	A two-phased and Ensemble scheme integrated Backpropagation algorithm. Appl. Soft Comput. Qun Dai, Zhongchen Ma, Qiongyu Xie
2014	J	`jnl`	Ensemble selection by GRASP. Appl. Intell. Zhuan Liu, Qun Dai, Ningzhong Liu
2013	J	`jnl`	A competitive ensemble pruning approach based on cross-validation technique. Knowl. Based Syst. Qun Dai
2013	J	`jnl`	A novel ensemble pruning algorithm based on randomized greedy selective strategy and ballot. Neurocomputing Qun Dai
2013	J	`jnl`	An efficient ensemble pruning algorithm using One-Path and Two-Trips searching approach. Knowl. Based Syst. Qun Dai
2013	J	`jnl`	Back-propagation with diversive curiosity: An automatic conversion from search stagnation to exploration. Appl. Soft Comput. Qun Dai
2013	J	`jnl`	ModEnPBT: A Modified Backtracking Ensemble Pruning algorithm. Appl. Soft Comput. Qun Dai, Zhuan Liu
2013	—	`conf`	Relationship between Mean Radiant Temperature and Building Type for Pedestrians in Rotterdam. CAAD Futures Qun Dai, Marc Aurel Schnabel
2012	J	`jnl`	Alleviating the problem of local minima in Backpropagation through competitive learning. Neurocomputing Qun Dai, Ningzhong Liu
2011	J	`jnl`	The build of n-Bits Binary Coding ICBP Ensemble System. Neurocomputing Qun Dai, Ningzhong Liu
2010	J	`jnl`	The build of a dynamic classifier selection ICBP system and its application to pattern recognition. Neural Comput. Appl. Qun Dai
2006	J	`jnl`	Integrating the improved CBP model with kernel SOM. Neurocomputing Qun Dai, Songcan Chen
2005	J	`jnl`	Chained DLS-ICBP Neural Networks with Multiple Steps Time Series Prediction. Neural Process. Lett. Qun Dai, Songcan Chen
2005	J	`jnl`	Discounted least squares-improved circular back-propogation neural networks with applications in time series prediction. Neural Comput. Appl. Songcan Chen, Qun Dai
2003	J	`jnl`	Improved CBP Neural Network Model with Applications in Time Series Prediction. Neural Process. Lett. Qun Dai, Songcan Chen, Benzhu Zhang