Chen Qiao

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 45

Top Topics

Deep Belief Networks

Graph Laplacian

Top Venues

Comput. Biol. Medicine

Neural Networks

Publications

Longyun Chen, Chen Qiao, Kai Ren, Gang Qu, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
Explainable spatio-temporal graph evolution learning with applications to dynamic brain network analysis during development. NeuroImage 298 (2024)
Kaiyu Li, Chen Qiao, Xinyi Zhu, Yuzhaobi Song, Lingxian Zhang, Wei Gao, Yong Wang
Lightweight fungal spore detection based on improved YOLOv5 in natural scenes. Int. J. Mach. Learn. Cybern. 15 (6) (2024)
Chen Qiao, Xiao Hu
Leveraging Semantic Facets for Automatic Assessment of Short Free Text Answers. IEEE Trans. Learn. Technol. 16 (1) (2023)
Lan Yang, Chen Qiao, Huiyu Zhou, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
Explainable Multimodal Deep Dictionary Learning to Capture Developmental Differences From Three fMRI Paradigms. IEEE Trans. Biomed. Eng. 70 (8) (2023)
Chen Qiao, Bin Gao, Yuechen Liu, Xin-Yu Hu, Wenxing Hu, Vince D. Calhoun, Yu-Ping Wang
Deep learning with explainability for characterizing age-related intrinsic differences in dynamic brain functional connectivity. Medical Image Anal. 90 (2023)
Ruolin Gong, SiJie He, Tiantian Tian, Jian Chen, Yuewen Hao, Chen Qiao
FRCNN-AA-CIF: An automatic detection model of colon polyps based on attention awareness and context information fusion. Comput. Biol. Medicine 158 (2023)
Faming Xu, Chen Qiao, Huiyu Zhou, Vince D. Calhoun, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang
An explainable autoencoder with multi-paradigm fMRI fusion for identifying differences in dynamic functional connectivity during brain development. Neural Networks 159 (2023)
Hahohua Liu, Shihui Feng, Chen Qiao
A Machine Learning Approach for Understanding the Educational Foci and Technical Solutions of AIED. L@S (2023)
Jiajia Li, Faming Xu, Na Gao, Yuanqiang Zhu, Yuewen Hao, Chen Qiao
Sparse non-convex regularization based explainable DBN in the analysis of brain abnormalities in schizophrenia. Comput. Biol. Medicine 155 (2023)
Qi Huang, Chen Qiao, Kaili Jing, Xu Zhu, Kai Ren
Biomarkers identification for Schizophrenia via VAE and GSDAE-based data augmentation. Comput. Biol. Medicine 146 (2022)
Chen Qiao, Lan Yang, Yan Shi, Hanfeng Fang, Yanmei Kang
Deep belief networks with self-adaptive sparsity. Appl. Intell. 52 (1) (2022)
Aiju Yu, Longyun Chen, Chen Qiao
Graph Convolutional Network with Attention Mechanism for Discovering the Brain's Abnormal Activity of Attention Deficit Hyperactivity Disorder. CISP-BMEI (2022)
Xuewu Zhang, Yansheng Gong, Chen Qiao, Wenfeng Jing
Multiview deep learning based on tensor decomposition and its application in fault detection of overhead contact systems. Vis. Comput. 38 (4) (2022)
Weizheng Yan, Gang Qu, Wenxing Hu, Anees Abrol, Biao Cai, Chen Qiao, Sergey M. Plis, Yu-Ping Wang, Jing Sui, Vince D. Calhoun
Deep Learning in Neuroimaging: Promises and challenges. IEEE Signal Process. Mag. 39 (2) (2022)
Chen Qiao, Lan Yang, Vince D. Calhoun, Zong-Ben Xu, Yu-Ping Wang
Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study. Neural Networks 135 (2021)
Chen Qiao, Jiajia Li, Xuewu Zhang, Cheng Zhang, Wenfeng Jing, Danglin Yang
Feature Back-Tracking with Sparse Deep Belief Networks. FSDM (2021)
Feng Wang, Dingde Jiang, Sheng Qi, Chen Qiao, Lei Shi
A Dynamic Resource Scheduling Scheme in Edge Computing Satellite Networks. Mob. Networks Appl. 26 (2) (2021)
Feng Wang, Dingde Jiang, Sheng Qi, Chen Qiao
An Adaboost Based Link Planning Scheme in Space-Air-Ground Integrated Networks. Mob. Networks Appl. 26 (2) (2021)
Jiajia Li, Chen Qiao, Kai Ren, Jian Chen, Hanfeng Fang
Biomarkers Selection based on FS-TNNR in Schizophrenia. ICBBT (2021)
Chen Qiao, Yuanhua Huang
Representation learning of RNA velocity reveals robust cell transitions. Proc. Natl. Acad. Sci. USA 118 (49) (2021)
Chen Qiao, Xin-Yu Hu, Li Xiao, Vince D. Calhoun, Yu-Ping Wang
A deep autoencoder with sparse and graph Laplacian regularization for characterizing dynamic functional connectivity during brain development. Neurocomputing 456 (2021)
Ying Tang, Khe Foon Hew, Xinyue Yuan, Chen Qiao
How social instant messaging questions affect replies: a randomised controlled experiment. Behav. Inf. Technol. 40 (16) (2021)
Khe Foon Hew, Xiang Hu, Chen Qiao, Ying Tang
What predicts student satisfaction with MOOCs: A gradient boosting trees supervised machine learning and sentiment analysis approach. Comput. Educ. 145 (2020)
Pan Hu, Cao Zixun, Hongkun Chen, Wang Yi, Chang Ye, Chen Qiao, Yimin Qian
Flexible Resources Planning for Bulk Energy System With High Penetration of Renewable Energy Based on Bash Game. IEEE Access 8 (2020)
Chen Qiao, Bin Gao, Yan Shi
SRS-DNN: a deep neural network with strengthening response sparsity. Neural Comput. Appl. 32 (12) (2020)
Chen Qiao, Xiao Hu
A joint neural network model for combining heterogeneous user data sources: An example of at-risk student prediction. J. Assoc. Inf. Sci. Technol. 71 (10) (2020)
Chen Qiao, Xiao Hu
A neural knowledge graph evaluator: Combining structural and semantic evidence of knowledge graphs for predicting supportive knowledge in scientific QA. Inf. Process. Manag. 57 (6) (2020)
Na Gao, Chen Qiao, Shun Qi, Kai Ren, Jian Chen, Hanfeng Fang
Biomarkers Selection of Abnormal Functional Connections in Schizophrenia with $ {\mathbf{\ell }}_{{{\mathbf{2, 1 - 2}}}} $-Norm Based Sparse Regularization Feature Selection Method. ICIC (2) (2020)
Chen Qiao, Yan Shi, Yu-Xian Diao, Vince D. Calhoun, Yu-Ping Wang
Log-sum enhanced sparse deep neural network. Neurocomputing 407 (2020)
Chen Qiao, Xiao Hu
Text classification for cognitive domains: A case using lexical, syntactic and semantic features. J. Inf. Sci. 45 (4) (2019)
Chen Qiao, Bao Guo
On the Flexible Dynamics Analysis for the Unified Discrete-Time RNNs. Neural Process. Lett. 50 (2) (2019)
Feng Wang, Dingde Jiang, Sheng Qi, Chen Qiao, Houbing Song
Fine-Grained Resource Management for Edge Computing Satellite Networks. GLOBECOM (2019)
Chen Qiao, Xiao Hu
Measuring Knowledge Gaps in Student Responses by Mining Networked Representations of Texts. LAK (2019)
Feng Wang, Dingde Jiang, Sheng Qi, Chen Qiao, Jiping Xiong
Dynamic Computing Resource Adjustment in Edge Computing Satellite Networks. SimuTools (2019)
Chen Qiao, Xiao Hu
Discovering Student Behavior Patterns from Event Logs: Preliminary Results on a Novel Probabilistic Latent Variable Model. ICALT (2018)
Chen Qiao, Xiao Hu
Discovering Student Behavior Patterns from Event Logs: Preliminary Results on A Novel Probabilistic Latent Variable Model. CoRR (2018)
Chen Qiao, Ke-Feng Sun, Bin Li
A Deep-Layer Feature Selection Method Based on Deep Neural Networks. ICSI (2) (2018)
Xiao Hu, Chengrui Yang, Chen Qiao, Xiaoyu Lu, Sam K. W. Chu
New features in Wikiglass, a learning analytic tool for visualizing collaborative work on wikis. LAK (2017)
Chen Qiao, Yan Shi, Bin Li, Tai An
A Novel Diagnosis Method for SZ by Deep Neural Networks. DMBD (2017)
Chen Qiao, Ke-Feng Sun, Wenfeng Jing, Yan Shi
Critical dynamical analysis for α-UAM RNNs without diagonal nonlinear requirements. J. Intell. Fuzzy Syst. 33 (3) (2017)
Xiao Hu, Eric M. Y. Ho, Chen Qiao
Digitizing Dunhuang Cultural Heritage: A User Evaluation of Mogao Cave Panorama Digital Library. J. Data Inf. Sci. 2 (3) (2017)
Tianxiang Cui, Rui Sun, Chen Qiao, Qiang Zhang, Tao Yu, Gang Liu, Zhigang Liu
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. 9 (12) (2017)
Tianxiang Cui, Rui Sun, Chen Qiao
Assessing the factors determining the relationship between solar-induced chlorophyll fluorescence and GPP. IGARSS (2016)
Chen Qiao, Rui Sun, Tianxiang Cui
Research on scale effect of vegetation net primary productivity. IGARSS (2016)
Chen Qiao, Wenfeng Jing, Jian Fang, Yu-Ping Wang
The general critical analysis for continuous-time UPPAM recurrent neural networks. Neurocomputing 175 (2016)
Chen Qiao, Rui Sun, Ziwei Xu, Lei Zhang, Liangyun Liu, Lvyuan Hao, Guoqing Jiang
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. 12 (2) (2015)
Chen Qiao, Dongdong Lin, Shaolong Cao, Yu-Ping Wang
The effective diagnosis of schizophrenia by using multi-layer RBMs deep networks. BIBM (2015)
Chen Qiao, Hai-Bao Chen, Wenfeng Jing, Ke-Feng Sun
Towards establishing a meaningful and practical dynamics results for the unified RNN model. Neurocomputing 157 (2015)
Chen Qiao, Dong Liang, Ke-Feng Sun
Dynamics analysis for generic projection continuous-time RNNs with bounded matrices. J. Syst. Sci. Complex. 28 (4) (2015)
Chen Qiao, Xiangdong Chen
The Development of an Augmented Reality Framework for Constructing Circuit Learning Aids. ICHL (2014)
Chun-Zhong Li, Zongben Xu, Chen Qiao, Tao Luo
Hierarchical clustering driven by cognitive features. Sci. China Inf. Sci. 57 (1) (2014)
Chen Qiao, Wenfeng Jing, Zongben Xu
The UPPAM continuous-time RNN model and its critical dynamics study. Neurocomputing 106 (2013)
Chen Qiao, Zongben Xu
Critical dynamics study on recurrent neural networks: Globally exponential stability. Neurocomputing 77 (1) (2012)
Chen Qiao, Yongtian Wang, Dongdong Weng, Hongyu Qi
An augmented reality based teeth shade matching system. VRCAI (2011)
Chen Qiao, Guoli Zhang
A comparison study on three load dispatch models in power system. ICMLC (2011)
Guoli Zhang, Chen Qiao
Geometric Weighting Method and Its Application on Load Dispatch in Electric Power Market. NL-MUA (2011)
Chen Qiao, Zongben Xu
On the P-critical dynamics analysis of projection recurrent neural networks. Neurocomputing 73 (13-15) (2010)
Chen Qiao, Zongben Xu
A critical global convergence analysis of recurrent neural networks with general projection mappings. Neurocomputing 72 (7-9) (2009)
Chen Qiao, Zongben Xu
New Critical Analysis on Global Convergence of Recurrent Neural Networks with Projection Mappings. ISNN (3) (2007)
Satoshi Fujita, Shigeaki Tagashira, Chen Qiao, Masaya Mito
Distributed Branch-and-Bound Scheme for Solving the Winner Determination Problem in Combinatorial Auctions. AINA (2005)