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2020 – today
- 2024
[j6]Yong Ouyang, Yuanlin Wang, Rong Gao
, Yawen Zeng, Jinhang Liu, Zhiwei Ye:
Multi-level contrastive graph learning for academic abnormality prediction. Neural Comput. Appl. 36(7): 3681-3698 (2024)- [j5]Lin Li, Xiaohua Wu, Miao Kong, Jinhang Liu, Jianwei Zhang:
Quantitatively Interpreting Residents Happiness Prediction by Considering Factor-Factor Interactions. IEEE Trans. Comput. Soc. Syst. 11(1): 1402-1414 (2024) - [j4]Lin Li, Dan Liu, Lingyun Zhao, Jianwei Zhang, Jinhang Liu:
Evidence Mining for Interpretable Charge Prediction via Prompt Learning. IEEE Trans. Comput. Soc. Syst. 11(4): 4556-4566 (2024) - 2023
- [j3]Jinhang Liu, Lin Li:
MPCM: Multi-modal User Portrait Classification Model Based on Collaborative Learning. Inf. Technol. Control. 52(4): 867-877 (2023) - 2021
- [c1]Jinhang Liu:
Innovative Evaluation Method of Academic Papers in Colleges and Universities Based on Deep Learning. AIAM (IEEE) 2021: 453-460 - 2020
- [j2]Xian Zhong, Jinhang Liu, Lin Li, Shuqin Chen, Wei Lu, Yuyu Dong, Bingqing Wu, Luo Zhong:
An emotion classification algorithm based on SPT-CapsNet. Neural Comput. Appl. 32(7): 1823-1837 (2020)
2010 – 2019
- 2019
- [j1]Jinhang Liu, Xian Zhong:
An object tracking method based on Mean Shift algorithm with HSV color space and texture features. Clust. Comput. 22(Supplement): 6079-6090 (2019)
Coauthor Index
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