RSRule: Relation-level semantic-driven rule learning for explainable extrapolation on temporal knowledge graphs.
Inf. Fusion, 2025
DraftFed: A Draft-Based Personalized Federated Learning Approach for Heterogeneous Convolutional Neural Networks.
IEEE Trans. Mob. Comput., May, 2024
MSFR: Stance Detection Based on Multi-Aspect Semantic Feature Representation via Hierarchical Contrastive Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024
Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset.
World Wide Web (WWW), September, 2023
CLARA: citation and similarity-based author ranking.
Scientometrics, February, 2023
Feature Enhanced Zero-Shot Stance Detection via Contrastive Learning.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Improving Knowledge Graph Entity Alignment with Graph Augmentation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
MixTEA: Semi-supervised Entity Alignment with Mixture Teaching.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Adversarial Learning-Based Stance Classifier for COVID-19-Related Health Policies.
Proceedings of the Database Systems for Advanced Applications, 2023
A Unified Framework for Unseen Target Stance Detection based on Feature Enhancement via Graph Contrastive Learning.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023
Zero-shot stance detection based on cross-domain feature enhancement by contrastive learning.
CoRR, 2022
Adversarial Learning-based Stance Classifier for COVID-19-related Health Policies.
CoRR, 2022
Info-HGCN: Hyperbolic Graph Convolution Networks for Information Diffusion Prediction.
Proceedings of the IEEE Smartworld, 2022
Inter- and Intra-Series Embeddings Fusion Network for Epidemiological Forecasting.
Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022
EpiGNN: Exploring Spatial Transmission with Graph Neural Network for Regional Epidemic Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Zero-Shot Stance Detection via Sentiment-Stance Contrastive Learning.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
Multitask Learning Neural Networks for Pandemic Prediction with Public Stance Enhancement.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
Domain-adaptive Graph based on Post-hoc Explanation for Cross-domain Hate Speech Detection.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
Prediction of Real Popularity based on Sample Debias.
Proceedings of the 7th IEEE International Conference on Data Science in Cyberspace, 2022