Yang Fang

According to our database, Yang Fang authored at least 20 papers between 2016 and 2024.

Collaborative distances:

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

2024

Few-shot Learning for Heterogeneous Information Networks.

Yang Fang, Xiang Zhao, Weidong Xiao, Maarten de Rijke

ACM Trans. Inf. Syst., July, 2024

A knowledge graphs representation method based on IsA relation modeling.

Pengfei Zhang, Dong Chen, Yang Fang, Weidong Xiao, Xiang Zhao, Zhen Tan, Rui Wang

Expert Syst. Appl., 2024

2023

$\mathsf{PF\text{-}HIN}$:Pre-Training for Heterogeneous Information Networks.

Yang Fang, Xiang Zhao, Yifan Chen, Weidong Xiao, Maarten de Rijke

IEEE Trans. Knowl. Data Eng., August, 2023

Contrastive Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation.

Yang Fang, Zhen Tan, Ziyang Chen, Weidong Xiao, Lingling Zhang, Feng Tian

Int. J. Softw. Informatics, 2023

2022

Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraphs.

Yang Fang, Xiang Zhao, Peixin Huang, Weidong Xiao, Maarten de Rijke

ACM Trans. Inf. Syst., 2022

Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks.

Qiuyu Guo, Xiang Zhao, Yang Fang, Shiyu Yang, Xuemin Lin, Dian Ouyang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training.

Peixin Huang, Xiang Zhao, Minghao Hu, Yang Fang, Xinyi Li, Weidong Xiao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2020

Patent Automatic Classification Based on Symmetric Hierarchical Convolution Neural Network.

Huiming Zhu, Chunhui He, Yang Fang, Bin Ge, Meng Xing, Weidong Xiao

Symmetry, 2020

Exploring Heterogeneous Information Networks via Pre-Training.

Yang Fang, Xiang Zhao, Weidong Xiao

CoRR, 2020

Fine Grained Named Entity Recognition via Seq2seq Framework.

Huiming Zhu, Chunhui He, Yang Fang, Weidong Xiao

IEEE Access, 2020

2019

M-HIN: Complex Embeddings for Heterogeneous Information Networks via Metagraphs.

Yang Fang, Xiang Zhao, Peixin Huang, Weidong Xiao, Maarten de Rijke

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2018

Network Embedding via a Bi-Mode and Deep Neural Network Model.

Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao

Symmetry, 2018

Knowledge Graph Representation via Similarity-Based Embedding.

Zhen Tan, Xiang Zhao, Yang Fang, Bin Ge, Weidong Xiao

Sci. Program., 2018

GTrans: Generic Knowledge Graph Embedding via Multi-State Entities and Dynamic Relation Spaces.

Zhen Tan, Xiang Zhao, Yang Fang, Weidong Xiao

IEEE Access, 2018

Title-Based Extraction of News Contents for Text Mining.

Zhen Tan, Chunhui He, Yang Fang, Bin Ge, Weidong Xiao

IEEE Access, 2018

Relational Knowledge Prediction via Dynamic Bi-Mode Embedding.

Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao

IEEE Access, 2018

TransPath: Representation Learning for Heterogeneous Information Networks via Translation Mechanism.

Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao

IEEE Access, 2018

2017

Deep keyphrase generation with a convolutional sequence to sequence model.

Yong Zhang, Yang Fang, Weidong Xiao

Proceedings of the 4th International Conference on Systems and Informatics, 2017

2016

Content-Based Top-N Recommendation using Heterogeneous Relations.

Yifan Chen, Xiang Zhao, Junjiao Gan, Junkai Ren, Yang Fang

CoRR, 2016

Knowledge Representation Learning via Dynamic Relation Spaces.

Zhen Tan, Xiang Zhao, Yang Fang, Weidong Xiao, Jiuyang Tang

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016