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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j40]Longyun Chen, Yuhui Yang, Aiju Yu, Shuo Guo, Kai Ren, Qinfang Liu, Chen Qiao
:
An explainable spatio-temporal graph convolutional network for the biomarkers identification of ADHD. Biomed. Signal Process. Control. 99: 106913 (2025)- 2024
- [j39]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): 2247-2261 (2024) - [j38]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: 120771 (2024) - [j37]Chen Qiao, Yuanhua Huang:
Reliable imputation of spatial transcriptomes with uncertainty estimation and spatial regularization. Patterns 5(8): 101021 (2024) - 2023
- [j36]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: 106664 (2023) - [j35]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: 106787 (2023) - [j34]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: 102941 (2023) - [j33]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: 185-197 (2023) - [j32]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): 2404-2415 (2023) - [j31]Chen Qiao, Xiao Hu:
Leveraging Semantic Facets for Automatic Assessment of Short Free Text Answers. IEEE Trans. Learn. Technol. 16(1): 26-39 (2023) - [c21]Hahohua Liu, Shihui Feng, Chen Qiao:
A Machine Learning Approach for Understanding the Educational Foci and Technical Solutions of AIED. L@S 2023: 326-330 - 2022
- [j30]Chen Qiao, Lan Yang, Yan Shi, Hanfeng Fang, Yanmei Kang:
Deep belief networks with self-adaptive sparsity. Appl. Intell. 52(1): 237-253 (2022) - [j29]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: 105603 (2022) - [j28]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): 87-98 (2022) - [j27]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): 1457-1467 (2022) - [c20]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: 1-5 - 2021
- [j26]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): 1727-1740 (2021) - [j25]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: 97-108 (2021) - [j24]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): 597-608 (2021) - [j23]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): 669-680 (2021) - [j22]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: 91-104 (2021) - [j21]Chen Qiao, Yuanhua Huang:
Representation learning of RNA velocity reveals robust cell transitions. Proc. Natl. Acad. Sci. USA 118(49): e2105859118 (2021) - [c19]Chen Qiao, Jiajia Li, Xuewu Zhang, Cheng Zhang, Wenfeng Jing, Danglin Yang:
Feature Back-Tracking with Sparse Deep Belief Networks. FSDM 2021: 386-396 - [c18]Jiajia Li, Chen Qiao, Kai Ren, Jian Chen, Hanfeng Fang:
Biomarkers Selection based on FS-TNNR in Schizophrenia. ICBBT 2021: 116-122 - 2020
- [j20]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: 123904-123915 (2020) - [j19]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) - [j18]Chen Qiao, Yan Shi, Yu-Xian Diao, Vince D. Calhoun, Yu-Ping Wang:
Log-sum enhanced sparse deep neural network. Neurocomputing 407: 206-220 (2020) - [j17]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): 102309 (2020) - [j16]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): 1192-1204 (2020) - [j15]Chen Qiao, Bin Gao, Yan Shi:
SRS-DNN: a deep neural network with strengthening response sparsity. Neural Comput. Appl. 32(12): 8127-8142 (2020) - [c17]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: 145-158
2010 – 2019
- 2019
- [j14]Chen Qiao, Xiao Hu:
Text classification for cognitive domains: A case using lexical, syntactic and semantic features. J. Inf. Sci. 45(4) (2019) - [j13]Chen Qiao, Bao Guo:
On the Flexible Dynamics Analysis for the Unified Discrete-Time RNNs. Neural Process. Lett. 50(2): 1755-1771 (2019) - [c16]Feng Wang, Dingde Jiang, Sheng Qi, Chen Qiao, Houbing Song:
Fine-Grained Resource Management for Edge Computing Satellite Networks. GLOBECOM 2019: 1-6 - [c15]Chen Qiao, Xiao Hu:
Measuring Knowledge Gaps in Student Responses by Mining Networked Representations of Texts. LAK 2019: 275-279 - [c14]Feng Wang, Dingde Jiang, Sheng Qi, Chen Qiao, Jiping Xiong:
Dynamic Computing Resource Adjustment in Edge Computing Satellite Networks. SimuTools 2019: 135-145 - 2018
- [c13]Chen Qiao, Xiao Hu:
Discovering Student Behavior Patterns from Event Logs: Preliminary Results on a Novel Probabilistic Latent Variable Model. ICALT 2018: 207-211 - [c12]Chen Qiao, Ke-Feng Sun, Bin Li:
A Deep-Layer Feature Selection Method Based on Deep Neural Networks. ICSI (2) 2018: 542-551 - [i1]Chen Qiao, Xiao Hu:
Discovering Student Behavior Patterns from Event Logs: Preliminary Results on A Novel Probabilistic Latent Variable Model. CoRR abs/1803.11363 (2018) - 2017
- [j12]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): 49-67 (2017) - [j11]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): 1677-1685 (2017) - [j10]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): 1267 (2017) - [c11]Chen Qiao, Yan Shi, Bin Li, Tai An:
A Novel Diagnosis Method for SZ by Deep Neural Networks. DMBD 2017: 433-441 - [c10]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: 616-617 - 2016
- [j9]Chen Qiao, Wenfeng Jing, Jian Fang, Yu-Ping Wang:
The general critical analysis for continuous-time UPPAM recurrent neural networks. Neurocomputing 175: 40-46 (2016) - [c9]Chen Qiao, Rui Sun, Tianxiang Cui:
Research on scale effect of vegetation net primary productivity. IGARSS 2016: 1333-1336 - [c8]Tianxiang Cui, Rui Sun, Chen Qiao:
Assessing the factors determining the relationship between solar-induced chlorophyll fluorescence and GPP. IGARSS 2016: 3520-3523 - 2015
- [j8]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: 315-322 (2015) - [j7]Chen Qiao, Dong Liang, Ke-Feng Sun:
Dynamics analysis for generic projection continuous-time RNNs with bounded matrices. J. Syst. Sci. Complex. 28(4): 799-812 (2015) - [j6]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): 369-373 (2015) - [c7]Chen Qiao, Dongdong Lin, Shaolong Cao, Yu-Ping Wang:
The effective diagnosis of schizophrenia by using multi-layer RBMs deep networks. BIBM 2015: 603-606 - 2014
- [j5]Chun-Zhong Li, Zongben Xu, Chen Qiao, Tao Luo:
Hierarchical clustering driven by cognitive features. Sci. China Inf. Sci. 57(1): 1-14 (2014) - [c6]Chen Qiao, Xiangdong Chen:
The Development of an Augmented Reality Framework for Constructing Circuit Learning Aids. ICHL 2014: 140-151 - 2013
- [j4]Chen Qiao, Wenfeng Jing, Zongben Xu:
The UPPAM continuous-time RNN model and its critical dynamics study. Neurocomputing 106: 158-166 (2013) - 2012
- [j3]Chen Qiao, Zongben Xu:
Critical dynamics study on recurrent neural networks: Globally exponential stability. Neurocomputing 77(1): 205-211 (2012) - 2011
- [c5]Chen Qiao, Guoli Zhang:
A comparison study on three load dispatch models in power system. ICMLC 2011: 333-337 - [c4]Guoli Zhang, Chen Qiao:
Geometric Weighting Method and Its Application on Load Dispatch in Electric Power Market. NL-MUA 2011: 579-586 - [c3]Chen Qiao, Yongtian Wang, Dongdong Weng, Hongyu Qi:
An augmented reality based teeth shade matching system. VRCAI 2011: 371-374 - 2010
- [j2]Chen Qiao, Zongben Xu:
On the P-critical dynamics analysis of projection recurrent neural networks. Neurocomputing 73(13-15): 2783-2788 (2010)
2000 – 2009
- 2009
- [j1]Chen Qiao, Zongben Xu:
A critical global convergence analysis of recurrent neural networks with general projection mappings. Neurocomputing 72(7-9): 1878-1886 (2009) - 2007
- [c2]Chen Qiao, Zongben Xu:
New Critical Analysis on Global Convergence of Recurrent Neural Networks with Projection Mappings. ISNN (3) 2007: 131-139 - 2005
- [c1]Satoshi Fujita, Shigeaki Tagashira, Chen Qiao, Masaya Mito:
Distributed Branch-and-Bound Scheme for Solving the Winner Determination Problem in Combinatorial Auctions. AINA 2005: 661-666
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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