Chen Qiao

Orcid: 0000-0002-4382-3221

According to our database1, Chen Qiao authored at least 56 papers between 2005 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

Leveraging Semantic Facets for Automatic Assessment of Short Free Text Answers.
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

Deep Learning in Neuroimaging: Promises and challenges.
IEEE Signal Process. Mag., 2022

Biomarkers identification for Schizophrenia via VAE and GSDAE-based data augmentation.
Comput. Biol. Medicine, 2022

Deep belief networks with self-adaptive sparsity.
Appl. Intell., 2022

2021
Representation learning of RNA velocity reveals robust cell transitions.
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

A Dynamic Resource Scheduling Scheme in Edge Computing Satellite Networks.
Mob. Networks Appl., 2021

An Adaboost Based Link Planning Scheme in Space-Air-Ground Integrated Networks.
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

Biomarkers Selection based on FS-TNNR in Schizophrenia.
Proceedings of the ICBBT 2021: 13th International Conference on Bioinformatics and Biomedical Technology, Xi'an, China, May 21, 2021

Feature Back-Tracking with Sparse Deep Belief Networks.
Proceedings of the Fuzzy Systems and Data Mining VII, 2021

2020
SRS-DNN: a deep neural network with strengthening response sparsity.
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

Log-sum enhanced sparse deep neural network.
Neurocomputing, 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
On the Flexible Dynamics Analysis for the Unified Discrete-Time RNNs.
Neural Process. Lett., 2019

Text classification for cognitive domains: A case using lexical, syntactic and semantic features.
J. Inf. Sci., 2019

Dynamic Computing Resource Adjustment in Edge Computing Satellite Networks.
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

Fine-Grained Resource Management for Edge Computing Satellite Networks.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
A Deep-Layer Feature Selection Method Based on Deep Neural Networks.
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

Critical dynamical analysis for α-UAM RNNs without diagonal nonlinear requirements.
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

A Novel Diagnosis Method for SZ by Deep Neural Networks.
Proceedings of the Data Mining and Big Data - Second International Conference, 2017

2016
The general critical analysis for continuous-time UPPAM recurrent neural networks.
Neurocomputing, 2016

Research on scale effect of vegetation net primary productivity.
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

Dynamics analysis for generic projection continuous-time RNNs with bounded matrices.
J. Syst. Sci. Complex., 2015

Towards establishing a meaningful and practical dynamics results for the unified RNN model.
Neurocomputing, 2015

The effective diagnosis of schizophrenia by using multi-layer RBMs deep networks.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Hierarchical clustering driven by cognitive features.
Sci. China Inf. Sci., 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
The UPPAM continuous-time RNN model and its critical dynamics study.
Neurocomputing, 2013

2012
Critical dynamics study on recurrent neural networks: Globally exponential stability.
Neurocomputing, 2012

2011
An augmented reality based teeth shade matching system.
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

A comparison study on three load dispatch models in power system.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

2010
On the P-critical dynamics analysis of projection recurrent neural networks.
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


  Loading...