Yang Fang

Orcid: 0000-0003-3565-2482

Affiliations:
  • National University of Defense Technology, System Engineering College, Changsha, China


According to our database1, Yang Fang authored at least 17 papers between 2016 and 2023.

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Bibliography

2023
$\mathsf{PF\text{-}HIN}$:Pre-Training for Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng., August, 2023

2022
Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraphs.
ACM Trans. Inf. Syst., 2022

Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2020
Patent Automatic Classification Based on Symmetric Hierarchical Convolution Neural Network.
Symmetry, 2020

Exploring Heterogeneous Information Networks via Pre-Training.
CoRR, 2020

Fine Grained Named Entity Recognition via Seq2seq Framework.
IEEE Access, 2020

2019
M-HIN: Complex Embeddings for Heterogeneous Information Networks via Metagraphs.
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.
Symmetry, 2018

Knowledge Graph Representation via Similarity-Based Embedding.
Sci. Program., 2018

GTrans: Generic Knowledge Graph Embedding via Multi-State Entities and Dynamic Relation Spaces.
IEEE Access, 2018

Title-Based Extraction of News Contents for Text Mining.
IEEE Access, 2018

Relational Knowledge Prediction via Dynamic Bi-Mode Embedding.
IEEE Access, 2018

TransPath: Representation Learning for Heterogeneous Information Networks via Translation Mechanism.
IEEE Access, 2018

2017
Deep keyphrase generation with a convolutional sequence to sequence model.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

2016
Content-Based Top-N Recommendation using Heterogeneous Relations.
CoRR, 2016

Knowledge Representation Learning via Dynamic Relation Spaces.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016


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