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Chen Qiao
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2020 – today
- 2024
- [j38]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) - [j37]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) - 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 2024-08-22 19:46 CEST by the dblp team
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