Hongling Xu

According to our database, Hongling Xu authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Image-to-Text Conversion and Aspect-Oriented Filtration for Multimodal Aspect-Based Sentiment Analysis.

Qianlong Wang, Hongling Xu, Zhiyuan Wen, Bin Liang, Min Yang, Bing Qin, Ruifeng Xu

IEEE Trans. Affect. Comput., 2024

Enhancing Chemical Reaction Monitoring with a Deep Learning Model for NMR Spectra Image Matching to Target Compounds.

Zijing Tian, Yan Dai, Feng Hu, Zihao Shen, Hongling Xu, Hongwen Zhang, Jinhang Xu, Yuting Hu, Yanyan Diao, Honglin Li

J. Chem. Inf. Model., 2024

Distilling Fine-grained Sentiment Understanding from Large Language Models.

Yice Zhang, Guangyu Xie, Hongling Xu, Kaiheng Hou, Jianzhu Bao, Qianlong Wang, Shiwei Chen, Ruifeng Xu

CoRR, 2024

DS²-ABSA: Dual-Stream Data Synthesis with Label Refinement for Few-Shot Aspect-Based Sentiment Analysis.

Hongling Xu, Yice Zhang, Qianlong Wang, Ruifeng Xu

CoRR, 2024

In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis.

Qianlong Wang, Hongling Xu, Keyang Ding, Bin Liang, Ruifeng Xu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Improving In-Context Learning with Prediction Feedback for Sentiment Analysis.

Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Identification of Potential TMPRSS2 Inhibitors for COVID-19 Treatment in Chinese Medicine by Computational Approaches and Surface Plasmon Resonance Technology.

Rong Yang, Linhua Liu, Dansheng Jiang, Lei Liu, Huili Yang, Hongling Xu, Meirong Qin, Ping Wang, Jiangyong Gu, Yufeng Xing

J. Chem. Inf. Model., May, 2023

2022

Indicator-Specific Recurrent Neural Networks with Co-teaching for Stock Trend Prediction.

Hongling Xu, Jingqian Zhao, Xiaoqi Yu, Yixue Dang, Yang Sun, Jianzhu Bao, Ruifeng Xu

Proceedings of the Artificial Intelligence and Mobile Services - AIMS 2022, 2022

2021

Two-stage prediction of machinery fault trend based on deep learning for time series analysis.

Hongling Xu, Ruizhe Ma, Li Yan, Zong-Min Ma

Digit. Signal Process., 2021