Rui Song

According to our database, Rui Song authored at least 49 papers between 2021 and 2026.

Collaborative distances:

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

2026

From text mining to intelligent debate: Task frameworks and technological evolution in computational argumentation.

Lida Shi, Fausto Giunchiglia, Hanwen Wang, Yongqi Cheng, Rui Song, Daqian Shi, Xiaolei Diao, Hao Xu

Inf. Process. Manag., 2026

An empirical study of LLMs via in-context learning for stance classification.

Lida Shi, Fausto Giunchiglia, Ran Luo, Daqian Shi, Rui Song, Xiaolei Diao, Hao Xu

Inf. Process. Manag., 2026

A Semantic Representation learning perspective-based approach for multimodal science question answering.

Ling Gao, Nan Sheng, Rui Song, Hao Xu

Inf. Fusion, 2026

Learn from the best: A universal self-distillation approach with historical logits.

Lida Shi, Fausto Giunchiglia, Hongda Zhang, Daqian Shi, Rui Song, Jian Li, Xiaolei Diao, Alan Zhao, Hao Xu

Expert Syst. Appl., 2026

Enhancing fairness in decision-making of natural language understanding systems: An intersectional bias debiasing model via information theory-based disentanglement.

Yingji Li, Juncheng Hu, Rui Song, Liang Hu

Expert Syst. Appl., 2026

Retrieval augmentation for out-of-distribution robustness in non-knowledge intensive in-context learning.

Rui Song, Yingji Li, Fausto Giunchiglia, Hao Xu

Sci. China Inf. Sci., 2026

Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval.

Hao Xu, Rite Bo, Fausto Giunchiglia, Yingji Li, Rui Song

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Enhancing Multimodal Large Language Models for Ancient Chinese Character Evolution Analysis via Glyph-Driven Fine-Tuning.

Rui Song, Lida Shi, Ruihua Qi, Yingji Li, Hao Xu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

AncientBench: Towards Comprehensive Evaluation on Excavated and Transmitted Chinese Corpora.

Zhihan Zhou, Daqian Shi, Rui Song, Lida Shi, Xiaolei Diao, Hao Xu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Few-shot Hierarchical Text Classification with Bidirectional Path Constraint by label weighting.

Mingbao Zhang, Rui Song, Xiang Li, Adriano Tavares, Hao Xu

Pattern Recognit. Lett., 2025

KALD: A Knowledge Augmented multi-contrastive learning model for low resource abusive Language Detection.

Rui Song, Fausto Giunchiglia, Yingji Li, Jian Li, Jingwen Wang, Hao Xu

Knowl. Based Syst., 2025

Sample feature enhancement model based on heterogeneous graph representation learning for few-shot relation classification.

Zhezhe Xing, Yuxin Ye, Rui Song, Yun Teng, Ziheng Li, Jiawen Liu

Inf. Sci., 2025

Counterfactual contrastive learning for robust text classification based on word group search.

Rui Song, Fausto Giunchiglia, Yingji Li, Lida Shi, Hao Xu

Inf. Sci., 2025

Causal keyword driven reliable text classification with large language model feedback.

Rui Song, Yingji Li, Mingjie Tian, Hanwen Wang, Fausto Giunchiglia, Hao Xu

Inf. Process. Manag., 2025

Guiding ontology translation with hubness-aware translation memory.

Mingjie Tian, Fausto Giunchiglia, Rui Song, Hao Xu

Expert Syst. Appl., 2025

BATED: Learning fair representation for Pre-trained Language Models via biased teacher-guided disentanglement.

Yingji Li, Mengnan Du, Rui Song, Mu Liu, Ying Wang

Artif. Intell., 2025

DGJA: Dependency Graph-enhanced Joint Attention Structure for Multimodal Sarcasm Detection.

Yiming Liu, Rui Song, Lida Shi, Ling Gao, Hao Xu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

A Dual-Mind Framework for Strategic and Expressive Negotiation Agent.

Yutong Liu, Lida Shi, Rui Song, Hao Xu

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

2024

GEML: a graph-enhanced pre-trained language model framework for text classification via mutual learning.

Tao Yu, Rui Song, Sandro Pinto, Tiago Gomes, Adriano Tavares, Hao Xu

Appl. Intell., December, 2024

ATFA: Adversarial Time-Frequency Attention network for sensor-based multimodal human activity recognition.

Haotian Feng, Qiang Shen, Rui Song, Lida Shi, Hao Xu

Expert Syst. Appl., February, 2024

Shortcut Learning in In-Context Learning: A Survey.

Rui Song, Yingji Li, Lida Shi, Fausto Giunchiglia, Hao Xu

CoRR, 2024

Mitigating social biases of pre-trained language models via contrastive self-debiasing with double data augmentation.

Yingji Li, Mengnan Du, Rui Song, Xin Wang, Mingchen Sun, Ying Wang

Artif. Intell., 2024

Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness.

Jian Li, Haojing Huang, Yujia Zhang, Pengfei Xu, Xi Chen, Rui Song, Lida Shi, Jingwen Wang, Hao Xu

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

Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models.

Yingji Li, Mengnan Du, Rui Song, Xin Wang, Ying Wang

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

TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification.

Rui Song, Fausto Giunchiglia, Yingji Li, Mingjie Tian, Hao Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Topological enhanced graph neural networks for semi-supervised node classification.

Rui Song, Fausto Giunchiglia, Ke Zhao, Hao Xu

Appl. Intell., October, 2023

Weak-PMLC: A large-scale framework for multi-label policy classification based on extremely weak supervision.

Jiufeng Zhao, Rui Song, Chitao Yue, Zhenxin Wang, Hao Xu

Inf. Process. Manag., September, 2023

Measuring and mitigating language model biases in abusive language detection.

Rui Song, Fausto Giunchiglia, Yingji Li, Lida Shi, Hao Xu

Inf. Process. Manag., May, 2023

Multiple graph convolutional networks for aspect-based sentiment analysis.

Yuting Ma, Rui Song, Xue Gu, Qiang Shen, Hao Xu

Appl. Intell., May, 2023

Neighbor-enhanced graph transition network for session-based recommendation.

Zijing Yi, Rui Song, Jian Li, Hao Xu

Int. J. Mach. Learn. Cybern., April, 2023

Label prompt for multi-label text classification.

Rui Song, Zelong Liu, Xingbing Chen, Haining An, Zhiqi Zhang, Xiaoguang Wang, Hao Xu

Appl. Intell., April, 2023

Federated Meta-Learning with Attention for Diversity-Aware Human Activity Recognition.

Qiang Shen, Haotian Feng, Rui Song, Donglei Song, Hao Xu

Sensors, February, 2023

SUNET: Speaker-utterance interaction Graph Neural Network for Emotion Recognition in Conversations.

Rui Song, Fausto Giunchiglia, Lida Shi, Qiang Shen, Hao Xu

Eng. Appl. Artif. Intell., 2023

A Survey on Fairness in Large Language Models.

Yingji Li, Mengnan Du, Rui Song, Xin Wang, Ying Wang

CoRR, 2023

Automatic Counterfactual Augmentation for Robust Text Classification Based on Word-Group Search.

Rui Song, Fausto Giunchiglia, Yingji Li, Hao Xu

CoRR, 2023

Enhancing Ontology Translation Through Cross-Lingual Agreement.

Mingjie Tian, Fausto Giunchiglia, Rui Song, Xing Chen, Hao Xu

Proceedings of the IEEE International Conference on Acoustics, 2023

FCC: Feature Clusters Compression for Long-Tailed Visual Recognition.

Jian Li, Ziyao Meng, Daqian Shi, Rui Song, Xiaolei Diao, Jingwen Wang, Hao Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Personalized multi-task attention for multimodal mental health detection and explanation.

Donglei Song, Qiang Shen, Haotian Feng, Rui Song, Fausto Giunchiglia, Hao Xu

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Improving Abusive Language Detection with online interaction network.

Rui Song, Fausto Giunchiglia, Qiang Shen, Nan Li, Hao Xu

Inf. Process. Manag., 2022

A Multi-Granular Aggregation-Enhanced Knowledge Graph Representation for Recommendation.

Xi Liu, Rui Song, Yuhang Wang, Hao Xu

Inf., 2022

MEduKG: A Deep-Learning-Based Approach for Multi-Modal Educational Knowledge Graph Construction.

Nan Li, Qiang Shen, Rui Song, Yang Chi, Hao Xu

Inf., 2022

DynHEN: A heterogeneous network model for dynamic bipartite graph representation learning.

Zhezhe Xing, Rui Song, Yun Teng, Hao Xu

Neurocomputing, 2022

Graph topology enhancement for text classification.

Rui Song, Fausto Giunchiglia, Ke Zhao, Mingjie Tian, Hao Xu

Appl. Intell., 2022

A Multitask Learning Framework for Abuse Detection and Emotion Classification.

Yucheng Huang, Rui Song, Fausto Giunchiglia, Hao Xu

Algorithms, 2022

Federated Multi-Task Attention for Cross-Individual Human Activity Recognition.

Qiang Shen, Haotian Feng, Rui Song, Stefano Teso, Fausto Giunchiglia, Hao Xu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

A Simple Contrastive Learning Framework for Interactive Argument Pair Identification via Argument-Context Extraction.

Lida Shi, Fausto Giunchiglia, Rui Song, Daqian Shi, Tongtong Liu, Xiaolei Diao, Hao Xu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Label Mask for Multi-Label Text Classification.

Rui Song, Xingbing Chen, Zelong Liu, Haining An, Zhiqi Zhang, Xiaoguang Wang, Hao Xu

CoRR, 2021

Topological Regularization for Graph Neural Networks Augmentation.

Rui Song, Fausto Giunchiglia, Ke Zhao, Hao Xu

CoRR, 2021

A Sequential Graph Neural Network for Short Text Classification.

Ke Zhao, Lan Huang, Rui Song, Qiang Shen, Hao Xu

Algorithms, 2021