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:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
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
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
Inf. Process. Manag., May, 2023
Appl. Intell., May, 2023
Int. J. Mach. Learn. Cybern., 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
Automatic Counterfactual Augmentation for Robust Text Classification Based on Word-Group Search.
CoRR, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
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
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
Algorithms, 2022
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