Hongling Xu

According to our database, Hongling Xu authored at least 15 papers between 2021 and 2026.

Collaborative distances:

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

2026

Time-aware knowledge graph reasoning for machinery fault prediction.

Ruizhe Ma, Hongling Xu, Xiaoping Lu, Xingzhi Feng, Zong Min Ma

Comput. Ind. Eng., 2026

2025

KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning.

Hongling Xu, Qi Zhu, Heyuan Deng, Jinpeng Li, Lu Hou, Yasheng Wang, Lifeng Shang, Ruifeng Xu, Fei Mi

CoRR, June, 2025

HS-STAR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation.

Feng Xiong, Hongling Xu, Yifei Wang, Runxi Cheng, Yong Wang, Xiangxiang Chu

CoRR, May, 2025

DAST: Difficulty-Aware Self-Training on Large Language Models.

Boyang Xue, Qi Zhu, Hongru Wang, Rui Wang, Sheng Wang, Hongling Xu, Fei Mi, Yasheng Wang, Lifeng Shang, Qun Liu, Kam-Fai Wong

CoRR, March, 2025

RPSubAlign: a novel sequence-based molecular representation method for retrosynthesis prediction with improved validity and robustness.

Yuting Hu, Feng Hu, Hongwen Zhang, Hongling Xu, Jixiang Gao, Wenshuai Deng, Zijing Tian, Qiaoyu Hu, Honglin Li, Yanyan Diao

Briefings Bioinform., 2025

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

Hongling Xu, Yice Zhang, Qianlong Wang, Ruifeng Xu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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