Two-stage prediction of machinery fault trend based on deep learning for time series analysis. - Hongling Xu; Ruizhe Ma; Li Yan 001; Zong-Min Ma 001 (Digit. Signal Process., 2021)

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 001 (AIMS, 2022)

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., 2023)

Improving In-Context Learning with Prediction Feedback for Sentiment Analysis. - Hongling Xu; Qianlong Wang 001; Yice Zhang; Min Yang 007; Xi Zeng; Bing Qin 001; Ruifeng Xu 001 (ACL (Findings), 2024)

In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis. - Qianlong Wang 001; Hongling Xu; Keyang Ding; Bin Liang 004; Ruifeng Xu 001 (LREC/COLING, 2024)

DS2-ABSA: Dual-Stream Data Synthesis with Label Refinement for Few-Shot Aspect-Based Sentiment Analysis. - Hongling Xu; Yice Zhang; Qianlong Wang 001; Ruifeng Xu 001 (CoRR, 2024)

Distilling Fine-grained Sentiment Understanding from Large Language Models. - Yice Zhang; Guangyu Xie; Hongling Xu; Kaiheng Hou; Jianzhu Bao; Qianlong Wang 001; Shiwei Chen; Ruifeng Xu 001 (CoRR, 2024)

Enhancing Chemical Reaction Monitoring with a Deep Learning Model for NMR Spectra Image Matching to Target Compounds. - Zijing Tian; Yan Dai 013; Feng Hu; Zihao Shen; Hongling Xu; Hongwen Zhang 008; Jinhang Xu; Yuting Hu; Yanyan Diao; Honglin Li 003 (J. Chem. Inf. Model., 2024)

Image-to-Text Conversion and Aspect-Oriented Filtration for Multimodal Aspect-Based Sentiment Analysis. - Qianlong Wang 001; Hongling Xu; Zhiyuan Wen; Bin Liang 004; Min Yang 007; Bing Qin 001; Ruifeng Xu 001 (IEEE Trans. Affect. Comput., 2024)

DS²-ABSA: Dual-Stream Data Synthesis with Label Refinement for Few-Shot Aspect-Based Sentiment Analysis. - Hongling Xu; Yice Zhang; Qianlong Wang 001; Ruifeng Xu 001 (ACL (1), 2025)

RPSubAlign: a novel sequence-based molecular representation method for retrosynthesis prediction with improved validity and robustness. - Yuting Hu; Feng Hu; Hongwen Zhang 008; Hongling Xu; Jixiang Gao; Wenshuai Deng; Zijing Tian; Qiaoyu Hu; Honglin Li 003; Yanyan Diao (Briefings Bioinform., 2025)

DAST: Difficulty-Aware Self-Training on Large Language Models. - Boyang Xue; Qi Zhu 007; Hongru Wang 003; Rui Wang 092; Sheng Wang; Hongling Xu; Fei Mi; Yasheng Wang; Lifeng Shang; Qun Liu 001; Kam-Fai Wong (CoRR, 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, 2025)

KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning. - Hongling Xu; Qi Zhu 007; Heyuan Deng; Jinpeng Li; Lu Hou; Yasheng Wang; Lifeng Shang; Ruifeng Xu 001; Fei Mi (CoRR, 2025)