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ORCIDQionghao Huang
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2020 – today
- 2025
[j20]Changqin Huang, Jili Chen, Qionghao Huang
, Shijin Wang, Yaxin Tu, Xiaodi Huang:
AtCAF: Attention-based causality-aware fusion network for multimodal sentiment analysis. Inf. Fusion 114: 102725 (2025)- 2024
- [j19]Changqin Huang, Hangjie Wei, Qionghao Huang, Fan Jiang, Zhongmei Han, Xiaodi Huang:
Learning consistent representations with temporal and causal enhancement for knowledge tracing. Expert Syst. Appl. 245: 123128 (2024) - [j18]Qionghao Huang, Jili Chen:
Enhancing academic performance prediction with temporal graph networks for massive open online courses. J. Big Data 11(1): 52 (2024) - [j17]Qionghao Huang, Jili Chen, Changqin Huang, Xiaodi Huang, Yi Wang:
Text-centered cross-sample fusion network for multimodal sentiment analysis. Multim. Syst. 30(4): 228 (2024) - [j16]Yi Wang, Changqin Huang, Ming Li, Qionghao Huang, Xuemei Wu, Jia Wu:
AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs. Pattern Recognit. 151: 110387 (2024) - [j15]Chang-Qin Huang, Qionghao Huang, Xiaodi Huang, Hua Wang, Ming Li, Kwei-Jay Lin, Yi Chang:
XKT: Toward Explainable Knowledge Tracing Model With Cognitive Learning Theories for Questions of Multiple Knowledge Concepts. IEEE Trans. Knowl. Data Eng. 36(11): 7308-7325 (2024) - [j14]Chang-Qin Huang, Fan Jiang, Qionghao Huang, Xizhe Wang, Zhongmei Han, Wei-Yu Huang:
Dual-Graph Attention Convolution Network for 3-D Point Cloud Classification. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4813-4825 (2024) - [i1]Qionghao Huang, Jili Chen:
xLSTM-FER: Enhancing Student Expression Recognition with Extended Vision Long Short-Term Memory Network. CoRR abs/2410.05074 (2024) - 2023
- [j13]Xuemei Wu, Jie He, Qionghao Huang, Changqin Huang, Jia Zhu, Xiaodi Huang, Hamido Fujita:
FER-CHC: Facial expression recognition with cross-hierarchy contrast. Appl. Soft Comput. 145: 110530 (2023) - [j12]Fan Jiang, Qionghao Huang, Xiaoyong Mei, Quanlong Guan, Yaxin Tu, Weiqi Luo, Changqin Huang:
Face2Nodes: Learning facial expression representations with relation-aware dynamic graph convolution networks. Inf. Sci. 649: 119640 (2023) - 2022
- [j11]Zhongmei Han, Qionghao Huang, Jie Zhang, Changqin Huang, Huijin Wang, Xiaodi Huang:
GA-GWNN: Detecting anomalies of online learners by granular computing and graph wavelet convolutional neural network. Appl. Intell. 52(11): 13162-13183 (2022) - [j10]Zhengyang Wu, Li Huang, Qionghao Huang, Changqin Huang, Yong Tang:
SGKT: Session graph-based knowledge tracing for student performance prediction. Expert Syst. Appl. 206: 117681 (2022) - 2021
- [j9]Tao He, Qionghao Huang, Xiaofeng Yu, Shihua Li:
Exploring students' digital informal learning: the roles of digital competence and DTPB factors. Behav. Inf. Technol. 40(13): 1406-1416 (2021) - [j8]Xizhe Wang, Xiaoyong Mei, Qionghao Huang, Zhongmei Han, Changqin Huang:
Fine-grained learning performance prediction via adaptive sparse self-attention networks. Inf. Sci. 545: 223-240 (2021) - [j7]Qionghao Huang, Changqin Huang, Xizhe Wang, Fan Jiang:
Facial expression recognition with grid-wise attention and visual transformer. Inf. Sci. 580: 35-54 (2021) - 2020
- [j6]Changqin Huang, Qionghao Huang, Dianhui Wang:
Stochastic Configuration Networks Based Adaptive Storage Replica Management for Power Big Data Processing. IEEE Trans. Ind. Informatics 16(1): 373-383 (2020) - [j5]Zhongmei Han, Jiyi Wu, Changqin Huang, Qionghao Huang, Meihua Zhao:
A review on sentiment discovery and analysis of educational big-data. WIREs Data Mining Knowl. Discov. 10(1) (2020) - [c1]Zhongmei Han, Changqin Huang, Qionghao Huang, Jianhui Yu:
Sentiment Evolutions in Blended Learning Contexts: Investigating Dynamic Interactions Using Simulation Investigation for Empirical Social Network Analysis. ICBL 2020: 249-263
2010 – 2019
- 2019
- [j4]Xizhe Wang, Pengze Wu, Guang Liu, Qionghao Huang, Xiaoling Hu, Haijiao Xu:
Learning performance prediction via convolutional GRU and explainable neural networks in e-learning environments. Computing 101(6): 587-604 (2019) - [j3]Qintai Hu, Zhongmei Han, Xiaofan Lin, Qionghao Huang, Xiaomei Zhang:
Learning peer recommendation using attention-driven CNN with interaction tripartite graph. Inf. Sci. 479: 231-249 (2019) - [j2]Qionghao Huang, Changqin Huang, Jin Huang, Hamido Fujita:
Adaptive resource prefetching with spatial-temporal and topic information for educational cloud storage systems. Knowl. Based Syst. 181 (2019) - [j1]Chang-Qin Huang, Jikai Chen, Yan Pan, Hanjiang Lai, Jian Yin, Qionghao Huang:
Clothing Landmark Detection Using Deep Networks With Prior of Key Point Associations. IEEE Trans. Cybern. 49(10): 3744-3754 (2019)
Coauthor Index
aka: Chang-Qin Huang
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