Feng Xie

According to our database, Feng Xie authored at least 18 papers between 2022 and 2024.

Collaborative distances:

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

2024

DraftFed: A Draft-Based Personalized Federated Learning Approach for Heterogeneous Convolutional Neural Networks.

Yuying Liao, Le Ma, Bin Zhou, Xuechen Zhao, Feng Xie

IEEE Trans. Mob. Comput., May, 2024

MSFR: Stance Detection Based on Multi-Aspect Semantic Feature Representation via Hierarchical Contrastive Learning.

Xuechen Zhao, Lei Tian, Feng Xie, Bin Zhou, Haiyang Wang, Hongzhou Wu, Liqun Gao

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Quantifying controversy from stance, sentiment, offensiveness and sarcasm: a fine-grained controversy intensity measurement framework on a Chinese dataset.

Haiyang Wang, Ye Wang, Xin Song, Bin Zhou, Xuechen Zhao, Feng Xie

World Wide Web (WWW), September, 2023

CLARA: citation and similarity-based author ranking.

Hayat Dino Bedru, Chen Zhang, Feng Xie, Shuo Yu, Iftikhar Hussain

Scientometrics, February, 2023

Feature Enhanced Zero-Shot Stance Detection via Contrastive Learning.

Xuechen Zhao, Jiaying Zou, Zhong Zhang, Feng Xie, Bin Zhou, Lei Tian

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Improving Knowledge Graph Entity Alignment with Graph Augmentation.

Feng Xie, Xiang Zeng, Bin Zhou, Yusong Tan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

MixTEA: Semi-supervised Entity Alignment with Mixture Teaching.

Feng Xie, Xin Song, Xiang Zeng, Xuechen Zhao, Lei Tian, Bin Zhou, Yusong Tan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Adversarial Learning-Based Stance Classifier for COVID-19-Related Health Policies.

Feng Xie, Zhong Zhang, Xuechen Zhao, Haiyang Wang, Jiaying Zou, Lei Tian, Bin Zhou, Yusong Tan

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.

Xuechen Zhao, Jiaying Zou, Lei Tian, Feng Xie, Haiyang Wang, Hongzhou Wu, Bin Zhou, Jie Tian

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

2022

Zero-shot stance detection based on cross-domain feature enhancement by contrastive learning.

Xuechen Zhao, Jiaying Zou, Zhong Zhang, Feng Xie, Bin Zhou, Lei Tian

CoRR, 2022

Adversarial Learning-based Stance Classifier for COVID-19-related Health Policies.

Feng Xie, Zhong Zhang, Xuechen Zhao, Jiaying Zou, Bin Zhou, Yusong Tan

CoRR, 2022

Info-HGCN: Hyperbolic Graph Convolution Networks for Information Diffusion Prediction.

Xiang Zeng, Xin Song, Yingdan Shang, Feng Xie, Bin Zhou

Proceedings of the IEEE Smartworld, 2022

Inter- and Intra-Series Embeddings Fusion Network for Epidemiological Forecasting.

Feng Xie, Zhong Zhang, Xuechen Zhao, Bin Zhou, Yusong Tan

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.

Feng Xie, Zhong Zhang, Liang Li, Bin Zhou, Yusong Tan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Zero-Shot Stance Detection via Sentiment-Stance Contrastive Learning.

Jiaying Zou, Xuechen Zhao, Feng Xie, Bin Zhou, Zhong Zhang, Lei Tian

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Multitask Learning Neural Networks for Pandemic Prediction with Public Stance Enhancement.

Zhong Zhang, Feng Xie, Xuechen Zhao, Bin Zhou, Jian Chen, Lei Tian

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.

Yushan Jiang, Bin Zhou, Xuechen Zhao, Jiaying Zou, Feng Xie, Liang Li

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Prediction of Real Popularity based on Sample Debias.

Liang Li, Liqun Gao, Feng Xie, Bin Zhou

Proceedings of the 7th IEEE International Conference on Data Science in Cyberspace, 2022