publications

my publication.

2026

  1. ReproHum# 0866-04: Variability in Human Judgments of Sociopolitical Acceptability Across Studies
    Rui Fan and Guanyi Chen
    In Proceedings of the Fifth Workshop on Generation, Evaluation and Metrics (GEM), 2026
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  2. Emotional supporters often use multiple strategies in a single turn
    Xin Bai, Guanyi Chen, Tingting He, Rui Fan, Chenlian Zhou, and Yu Liu
    Neurocomputing, 2026
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2025

  1. Aspect-Based Sentiment Analysis with Syntax-Opinion-Sentiment Reasoning Chain
    Rui Fan, Shu Li, Tingting He, and Yu Liu
    In Proceedings of the 31st International Conference on Computational Linguistics, 2025
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  2. Considering Sentiment Causes in In-Context Learning for Aspect-Based Sentiment Analysis
    Mengtian Shi, Rui Fan, Tingting He, and Guanyi Chen
    IEEE Intelligent Systems, 2025
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  3. Multi-faceted data augmentation for aspect-based sentiment analysis via large language models
    Rui Fan, Tingting He, and Ming Dong
    Knowledge-Based Systems, 2025
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2024

  1. Dual Causes Generation Assisted Model for Multimodal Aspect-Based Sentiment Classification
    Rui Fan, Tingting He, Menghan Chen, Mengyuan Zhang, Xinhui Tu, and Ming Dong
    IEEE Transactions on Neural Networks and Learning Systems, 2024
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  2. Concept-based Biomedical Text Expansion via Large Language Models
    Chenlian Zhou, Xinhui Tu, Tingting He, Weizhong Zhao, Cong Guo, Rui Fan, and Yinghao Xiong
    In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024
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  3. Unraveling Intricacies: A Decomposition Approach for Few-Shot Multi-Intent Spoken Language Understanding
    Wenbin Hua, Yufan Wang, Rui Fan, Xinhui Tu, and Tingting He
    In 2024 IEEE International Conference on Big Data (BigData), 2024
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2023

  1. Making Pre-trained Language Models Better Learn Few-Shot Spoken Language Understanding in More Practical Scenarios
    Yufan Wang, Jie Mei, Bowei Zou, Rui Fan, Tingting He, and Aiti Aw
    In Findings of the Association for Computational Linguistics: ACL 2023, 2023
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  2. DSPM-NLG: A Dual Supervised Pre-trained Model for Few-shot Natural Language Generation in Task-oriented Dialogue System
    Yufan Wang, Bowei Zou, Rui Fan, Aiti Aw, and ing He
    In Findings of the Association for Computational Linguistics: ACL 2023, 2023
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2022

  1. A stack-propagation framework with slot filling for multi-domain dialogue state tracking
    Yufan Wang, Tingting He, Jie Mei, Rui Fan, and Xinhui Tu
    IEEE Transactions on Neural Networks and Learning Systems, 2022
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  2. Recurrent Neural Networks with Fractional Order Gradient Method
    Honggang Yang, Rui Fan, Jiejie Chen, and Mengfei Xu
    In 2022 14th International Conference on Advanced Computational Intelligence (ICACI), 2022
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  3. Emotion-Cause Relationship Between Clauses Prediction: a Novel Method Based on BERT for Emotion-Cause Pair Extraction
    Rui Fan, Tingting He, Yufan Wang, Jie Hong, and Xinhui Tu
    In 2022 IEEE International Conference on Big Data (Big Data), 2022
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2021

  1. Effectively Incorporating Knowledge in Open-Domain Dialogue Generation
    Wenji Zhou, Tingting He, Miao Zhang, and Rui Fan
    In Knowledge Graph and Semantic Computing: Knowledge Graph and Cognitive Intelligence: 5th China Conference, CCKS 2020, Nanchang, China, November 12–15, 2020, Revised Selected Papers, 2021
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2020

  1. An end-to-end multi-task learning network with scope controller for emotion-cause pair extraction
    Rui Fan, Yufan Wang, and Tingting He
    In Natural Language Processing and Chinese Computing: 9th CCF International Conference, NLPCC 2020, Zhengzhou, China, October 14–18, 2020, Proceedings, Part I 9, 2020
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2019

  1. Effective utilization of external knowledge and history context in multi-turn spoken language understanding model
    Yufan Wang, Tingting He, Rui Fan, Wenji Zhou, and Xinhui Tu
    In 2019 IEEE International Conference on Big Data (Big Data), 2019
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