Papers

(* indicates corresponding author) (# indicates equal contribution)

2026

• Enhancing Multimodal Reasoning via Visual Semantic Summarization
  Jingjie Lin, Qianlong Wang*, Keyang Ding, Bingbing Wang, Xintong Song, Wenpeng Lu, Ruifeng Xu*, Min Zhang
  IEEE Transactions on Audio, Speech and Language Processing, 2026
• Beyond Aggregated Labels: Personalized Reader Emotion Prediction via LLM-based Persona Reasoning
  Keyang Ding, Yucong Huang, Tianhao Wu, Hengxin Gao, Qianlong Wang*, Ruifeng Xu*
  Neurocomputing, 2026
• Enhancing Social Emotion Prediction with Persona-driven Comment Generation and Graph-based Information Fusion
  Keyang Ding, Jianhang Li, Qianlong Wang*, Jingjie Lin, Mufan Cui, Ruifeng Xu*
  ICASSP 2026
• Advancing Fine-Grained Sentiment Analysis in Complex Contexts: A New Benchmark and Interpretation-Enhanced Approach
  Guangyu Xie, Yice Zhang, Hongling Xu, Jianzhu Bao, Qianlong Wang, Shiwei Chen, Ruifeng Xu*
  ICASSP 2026

2025

• Error Comparison Optimization for Large Language Models on Aspect-Based Sentiment Analysis
  Qianlong Wang, Keyang Ding, Hengxin Gao, Hui Wang, Ruifeng Xu*
  ACL 2025
• Comprehensive and Efficient Distillation for Lightweight Sentiment Analysis Models
  Guangyu Xie, Yice Zhang, Jianzhu Bao, Qianlong Wang, Yang Sun, Bingbing Wang, Ruifeng Xu*
  EMNLP 2025
• Cross-Domain Sentiment Analysis via Disentangled Representation and Prototypical Learning
  Qianlong Wang, Zhiyuan Wen, Keyang Ding, Bin Liang, Ruifeng Xu*
  IEEE Transactions on Affective Computing, 2025
• CRC-MRC: Reader Comments Augmented Machine Reading Comprehension for Social Emotion Prediction
  Hengxin Gao#, Keyang Ding#, Qianlong Wang, Bin Liang, Ruifeng Xu*
  Expert Systems with Applications, 2025

2024

• Improving In-Context Learning via Sequentially Retrieval and Preference Alignment for Few-Shot Aspect-Based Sentiment Analysis
  Qianlong Wang, Keyang Ding, Xuan Luo, Ruifeng Xu*
  SIGIR 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*
  LREC-COLING 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*
  Findings of ACL 2024
• LCSEP: A Large-Scale Chinese Dataset for Social Emotion Prediction to Online Trending Topics
  Keyang Ding, Chuang Fan, Yiwen Ding, Qianlong Wang, Zhiyuan Wen, Jing Li, Ruifeng Xu*
  IEEE Transactions on Computational Social Systems, 2024

2023

• Reducing Spurious Correlations in Aspect-based Sentiment Analysis with Explanation from Large Language Models
  Qianlong Wang, Keyang Ding, Bin Liang, Min Yang, Ruifeng Xu*
  Findings of EMNLP 2023
• In-context Learning for Few-shot Multimodal Named Entity Recognition
  Chenran Cai, Qianlong Wang, Bin Liang, Bing Qin, Min Yang, Kam-Fai Wong, Ruifeng Xu*
  Findings of EMNLP 2023
• 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 Transactions on Affective Computing, 2023