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2020 – today
- 2024
[j4]Zijing Tian, Yan Dai, Feng Hu, Zihao Shen, Hongling Xu, Hongwen Zhang, Jinhang Xu, Yuting Hu, Yanyan Diao
, Honglin Li:
Enhancing Chemical Reaction Monitoring with a Deep Learning Model for NMR Spectra Image Matching to Target Compounds. J. Chem. Inf. Model. 64(14): 5624-5633 (2024)- [j3]Qianlong Wang, Hongling Xu, Zhiyuan Wen, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu:
Image-to-Text Conversion and Aspect-Oriented Filtration for Multimodal Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. 15(3): 1264-1278 (2024) - [c3]Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu:
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. ACL (Findings) 2024: 3879-3890 - [c2]Qianlong Wang, Hongling Xu, Keyang Ding, Bin Liang, Ruifeng Xu:
In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis. LREC/COLING 2024: 8975-8985 - [i1]Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu:
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. CoRR abs/2406.02911 (2024) - 2023
- [j2]Rong Yang, Linhua Liu, Dansheng Jiang, Lei Liu, Huili Yang, Hongling Xu, Meirong Qin, Ping Wang, Jiangyong Gu, Yufeng Xing:
Identification of Potential TMPRSS2 Inhibitors for COVID-19 Treatment in Chinese Medicine by Computational Approaches and Surface Plasmon Resonance Technology. J. Chem. Inf. Model. 63(10): 3005-3017 (2023) - 2022
- [c1]Hongling Xu, Jingqian Zhao, Xiaoqi Yu, Yixue Dang, Yang Sun, Jianzhu Bao, Ruifeng Xu:
Indicator-Specific Recurrent Neural Networks with Co-teaching for Stock Trend Prediction. AIMS 2022: 76-90 - 2021
- [j1]Hongling Xu, Ruizhe Ma, Li Yan, Zong-Min Ma:
Two-stage prediction of machinery fault trend based on deep learning for time series analysis. Digit. Signal Process. 117: 103150 (2021)
Coauthor Index
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