Chen Qiao
Orcid: 0000-0002-4382-3221
According to our database1,
Chen Qiao
authored at least 62 papers
between 2005 and 2025.
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Bibliography
2025
An explainable spatio-temporal graph convolutional network for the biomarkers identification of ADHD.
Biomed. Signal Process. Control., 2025
2024
A Deep Dynamic Causal Learning Model to Study Changes in Dynamic Effective Connectivity During Brain Development.
IEEE Trans. Biomed. Eng., December, 2024
Int. J. Mach. Learn. Cybern., June, 2024
Reliable imputation of spatial transcriptomes with uncertainty estimation and spatial regularization.
Patterns, 2024
Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development.
NeuroImage, 2024
2023
Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity.
Medical Image Anal., December, 2023
Explainable Multimodal Deep Dictionary Learning to Capture Developmental Differences From Three fMRI Paradigms.
IEEE Trans. Biomed. Eng., August, 2023
FRCNN-AA-CIF: An automatic detection model of colon polyps based on attention awareness and context information fusion.
Comput. Biol. Medicine, May, 2023
Sparse non-convex regularization based explainable DBN in the analysis of brain abnormalities in schizophrenia.
Comput. Biol. Medicine, March, 2023
IEEE Trans. Learn. Technol., February, 2023
An explainable autoencoder with multi-paradigm fMRI fusion for identifying differences in dynamic functional connectivity during brain development.
Neural Networks, February, 2023
A Machine Learning Approach for Understanding the Educational Foci and Technical Solutions of AIED.
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023
2022
Multiview deep learning based on tensor decomposition and its application in fault detection of overhead contact systems.
Vis. Comput., 2022
IEEE Signal Process. Mag., 2022
Biomarkers identification for Schizophrenia via VAE and GSDAE-based data augmentation.
Comput. Biol. Medicine, 2022
Graph Convolutional Network with Attention Mechanism for Discovering the Brain's Abnormal Activity of Attention Deficit Hyperactivity Disorder.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022
2021
Proc. Natl. Acad. Sci. USA, 2021
Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study.
Neural Networks, 2021
Mob. Networks Appl., 2021
Mob. Networks Appl., 2021
A deep autoencoder with sparse and graph Laplacian regularization for characterizing dynamic functional connectivity during brain development.
Neurocomputing, 2021
How social instant messaging questions affect replies: a randomised controlled experiment.
Behav. Inf. Technol., 2021
Proceedings of the ICBBT 2021: 13th International Conference on Bioinformatics and Biomedical Technology, Xi'an, China, May 21, 2021
Proceedings of the Fuzzy Systems and Data Mining VII, 2021
2020
Neural Comput. Appl., 2020
A joint neural network model for combining heterogeneous user data sources: An example of at-risk student prediction.
J. Assoc. Inf. Sci. Technol., 2020
A neural knowledge graph evaluator: Combining structural and semantic evidence of knowledge graphs for predicting supportive knowledge in scientific QA.
Inf. Process. Manag., 2020
What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach.
Comput. Educ., 2020
Flexible Resources Planning for Bulk Energy System With High Penetration of Renewable Energy Based on Bash Game.
IEEE Access, 2020
Biomarkers Selection of Abnormal Functional Connections in Schizophrenia with $ {\mathbf{\ell }}_{{{\mathbf{2, 1 - 2}}}} $-Norm Based Sparse Regularization Feature Selection Method.
Proceedings of the Intelligent Computing Theories and Application, 2020
2019
Neural Process. Lett., 2019
Text classification for cognitive domains: A case using lexical, syntactic and semantic features.
J. Inf. Sci., 2019
Proceedings of the Simulation Tools and Techniques - 11th International Conference, 2019
Measuring Knowledge Gaps in Student Responses by Mining Networked Representations of Texts.
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019
Proceedings of the 2019 IEEE Global Communications Conference, 2019
2018
Proceedings of the Advances in Swarm Intelligence - 9th International Conference, 2018
Discovering Student Behavior Patterns from Event Logs: Preliminary Results on a Novel Probabilistic Latent Variable Model.
Proceedings of the 18th IEEE International Conference on Advanced Learning Technologies, 2018
2017
Estimating Diurnal Courses of Gross Primary Production for Maize: A Comparison of Sun-Induced Chlorophyll Fluorescence, Light-Use Efficiency and Process-Based Models.
Remote. Sens., 2017
J. Intell. Fuzzy Syst., 2017
Digitizing Dunhuang Cultural Heritage: A User Evaluation of Mogao Cave Panorama Digital Library.
J. Data Inf. Sci., 2017
New features in Wikiglass, a learning analytic tool for visualizing collaborative work on wikis.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017
Proceedings of the Data Mining and Big Data - Second International Conference, 2017
2016
Neurocomputing, 2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
Assessing the factors determining the relationship between solar-induced chlorophyll fluorescence and GPP.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
A Study of Shelterbelt Transpiration and Cropland Evapotranspiration in an Irrigated Area in the Middle Reaches of the Heihe River in Northwestern China.
IEEE Geosci. Remote. Sens. Lett., 2015
J. Syst. Sci. Complex., 2015
Towards establishing a meaningful and practical dynamics results for the unified RNN model.
Neurocomputing, 2015
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
The Development of an Augmented Reality Framework for Constructing Circuit Learning Aids.
Proceedings of the Hybrid Learning. Theory and Practice - 7th International Conference, 2014
2013
Neurocomputing, 2013
2012
Critical dynamics study on recurrent neural networks: Globally exponential stability.
Neurocomputing, 2012
2011
Proceedings of the 10th International Conference on Virtual Reality Continuum and its Applications in Industry, 2011
Geometric Weighting Method and Its Application on Load Dispatch in Electric Power Market.
Proceedings of the Nonlinear Mathematics for Uncertainty and its Applications, 2011
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011
2010
Neurocomputing, 2010
2009
A critical global convergence analysis of recurrent neural networks with general projection mappings.
Neurocomputing, 2009
2007
New Critical Analysis on Global Convergence of Recurrent Neural Networks with Projection Mappings.
Proceedings of the Advances in Neural Networks, 2007
2005
Distributed Branch-and-Bound Scheme for Solving the Winner Determination Problem in Combinatorial Auctions.
Proceedings of the 19th International Conference on Advanced Information Networking and Applications (AINA 2005), 2005