Rui Song

Affiliations:
  • Jilin University, School of Artificial Intelligence, Changchun, China


According to our database1, Rui Song authored at least 29 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
GEML: a graph-enhanced pre-trained language model framework for text classification via mutual learning.
Appl. Intell., December, 2024

ATFA: Adversarial Time-Frequency Attention network for sensor-based multimodal human activity recognition.
Expert Syst. Appl., February, 2024

Mitigating social biases of pre-trained language models via contrastive self-debiasing with double data augmentation.
Artif. Intell., 2024

Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Topological enhanced graph neural networks for semi-supervised node classification.
Appl. Intell., October, 2023

Weak-PMLC: A large-scale framework for multi-label policy classification based on extremely weak supervision.
Inf. Process. Manag., September, 2023

Measuring and mitigating language model biases in abusive language detection.
Inf. Process. Manag., May, 2023

Multiple graph convolutional networks for aspect-based sentiment analysis.
Appl. Intell., May, 2023

Neighbor-enhanced graph transition network for session-based recommendation.
Int. J. Mach. Learn. Cybern., April, 2023

Label prompt for multi-label text classification.
Appl. Intell., April, 2023

Federated Meta-Learning with Attention for Diversity-Aware Human Activity Recognition.
Sensors, February, 2023

SUNET: Speaker-utterance interaction Graph Neural Network for Emotion Recognition in Conversations.
Eng. Appl. Artif. Intell., 2023

A Survey on Fairness in Large Language Models.
CoRR, 2023

Automatic Counterfactual Augmentation for Robust Text Classification Based on Word-Group Search.
CoRR, 2023

Enhancing Ontology Translation Through Cross-Lingual Agreement.
Proceedings of the IEEE International Conference on Acoustics, 2023

FCC: Feature Clusters Compression for Long-Tailed Visual Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Personalized multi-task attention for multimodal mental health detection and explanation.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022
Improving Abusive Language Detection with online interaction network.
Inf. Process. Manag., 2022

A Multi-Granular Aggregation-Enhanced Knowledge Graph Representation for Recommendation.
Inf., 2022

MEduKG: A Deep-Learning-Based Approach for Multi-Modal Educational Knowledge Graph Construction.
Inf., 2022

DynHEN: A heterogeneous network model for dynamic bipartite graph representation learning.
Neurocomputing, 2022

Graph topology enhancement for text classification.
Appl. Intell., 2022

A Multitask Learning Framework for Abuse Detection and Emotion Classification.
Algorithms, 2022

Federated Multi-Task Attention for Cross-Individual Human Activity Recognition.
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.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Label Mask for Multi-Label Text Classification.
CoRR, 2021

Topological Regularization for Graph Neural Networks Augmentation.
CoRR, 2021

A Sequential Graph Neural Network for Short Text Classification.
Algorithms, 2021


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