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ORCIDJuan Yang 0003
Person information
- affiliation: Wuhan University of Science and Technology, College of Computer Science and Technology, Hubei Province Key Laboratory of Intelligence Information Processing and Real-time Industrial System, Wuhan, China
- affiliation (PhD 2020): Central China Normal University, National Engineering Research Center for E-Learning, Wuhan, China
Other persons with the same name
- Juan Yang — disambiguation page
- Juan Yang 0001 — Hefei University of Technology, School of Computer Science and Information Engineering, Hefei, China
- Juan Yang 0002
![[0000-0002-0970-5328]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0970-5328")
— Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing, China - Juan Yang 0004 — Sichuan Normal University, College of Computer Science, Chengdu, China
- Juan Yang 0005 — Shantou University, College of Engineering, Shantou, China
- Juan Yang 0006 — Chinese Academy of Sciences, Institute of Acoustics, Ocean Acoustic Technology Laboratory, Beijing, China
- Juan Yang 0007 — Beijing University of Posts and Telecommunications, School of Science, Beijing, China
- Juan Yang 0008 — Southwest University, Faculty of Psychology, Chongqing, China
- Juan Yang 0009 — CHN ENERGY Dadu River Dagangshan Power Generation Co.,Ltd, China
- Juan Yang 0010 — Northwestern Polytechnical University, School of Astronautic, Xi'an, China
- Juan Yang 0011 — Shandong Normal University, School of Physics and Electronics, Jinan, China
- Juan Yang 0012 — University of Electronic Science and Technology of China, National Key Lab of Science and Technology on Communications, Chengdu, China (and 1 more)
- Juan Yang 0013 — Hubei University of Technology, School of Computer Science, Wuhan, China
- Juan Yang 0014 — Chinese Academy of Science and Technology for Development, Institute of Comprehensive Development, Beijing, China
- Juan Yang 0015 — Hunan University, College of Mathematics and Econometrics, Changsha, China
- Juan Yang 0016 — Southwest University, Intelligent Software and Software Engineering Laboratory, Chongqing, China
- Juan Yang 0017 — Shanghai Academy of Agricultural Sciences, Technology & Engineering Research Center for Digital Agriculture, Shanghai, China
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2020 – today
- 2024
[j9]Juan Yang, Mengya Xu, Yali Xiao, Xu Du:
AMIFN: Aspect-guided multi-view interactions and fusion network for multimodal aspect-based sentiment analysis. Neurocomputing 573: 127222 (2024)- [j8]Juan Yang, Yali Xiao, Xu Du:
Multi-grained fusion network with self-distillation for aspect-based multimodal sentiment analysis. Knowl. Based Syst. 293: 111724 (2024) - [j7]Juan Yang, Zhenkun Li, Xu Du:
Analyzing audiovisual data for understanding user's emotion in human-computer interaction environment. Data Technol. Appl. 58(2): 318-343 (2024) - 2023
- [j6]Juan Yang, Xuanxiong Dong, Xu Du:
SMFNM: Semi-supervised multimodal fusion network with main-modal for real-time emotion recognition in conversations. J. King Saud Univ. Comput. Inf. Sci. 35(9): 101791 (2023) - 2022
- [j5]Juan Yang, Xu Du, Jui-Long Hung, Chih-Hsiung Tu:
Analyzing online discussion data for understanding the student's critical thinking. Data Technol. Appl. 56(2): 303-326 (2022) - 2021
- [j4]Xu Du, Juan Yang, Brett E. Shelton, Jui-Long Hung, Mingyan Zhang:
A systematic meta-Review and analysis of learning analytics research. Behav. Inf. Technol. 40(1): 49-62 (2021) - 2020
- [j3]Xu Du, Juan Yang, Jui-Long Hung:
An Integrated Framework Based on Latent Variational Autoencoder for Providing Early Warning of At-Risk Students. IEEE Access 8: 10110-10122 (2020) - [j2]Zongkai Yang, Juan Yang, Kerry Rice, Jui-Long Hung, Xu Du:
Using Convolutional Neural Network to Recognize Learning Images for Early Warning of At-Risk Students. IEEE Trans. Learn. Technol. 13(3): 617-630 (2020)
2010 – 2019
- 2019
- [j1]Jui-Long Hung, Brett E. Shelton, Juan Yang, Xu Du:
Improving Predictive Modeling for At-Risk Student Identification: A Multistage Approach. IEEE Trans. Learn. Technol. 12(2): 148-157 (2019) - 2018
- [c1]Brett E. Shelton, Juan Yang, Jui-Long Hung, Xu Du:
Two-Stage Predictive Modeling for Identifying At-Risk Students. ICITL 2018: 578-583
Coauthor Index
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