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 35 papers between 2016 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Node Importance Estimation via Multi-View Graph Prompting.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2026

Temporal Heterogeneous Network Representation Learning With Dynamic Influence Modeling.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2026

Complex network dismantling with node diffusion and node similarity.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2026

Knowledge Graph Editing Model for Enhancing Recommendation Systems.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

LAPS: A Lightweight Privilege-Allocation Prompting Framework for Source Localization.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

2025

CCrepairBench: A High-Fidelity Benchmark and Reinforcement Learning Framework for C++ Compilation Repair.

[BibT_eX]

[DOI]

CoRR, September, 2025

Dynamic Graph Recommendation via Sparse Augmentation and Singular Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Dual-Prompting Based Event Anomaly Detection in Dynamic Graphs.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2025

PRIM: Encoding Propagation Probability and Role-Aware Representation for Influence Maximization.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2025

Community Partition-based Source Localization with Adaptive Observers Deployment.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Information Diffusion Prediction Based on User Multi-Dimensional Feature Interaction.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Dynamic Graph Learning via Historical Information Perception and Multi-Granular Temporal Curriculum Learning.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

SeqMTG: Sequential Multi-token Enhanced Temporal Graph Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the Web and Big Data - 9th International Joint Conference, 2025

2024

Few-shot Learning for Heterogeneous Information Networks.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., July, 2024

A knowledge graphs representation method based on IsA relation modeling.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

Multi-Behavior Hypergraph Contrastive-Enhanced Transformer for Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Data Science in Cyberspace, 2024

Community partition based source localization in early time.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Data Science in Cyberspace, 2024

2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Int. J. Softw. Informatics, 2023

2022

Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraphs.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2020

Patent Automatic Classification Based on Symmetric Hierarchical Convolution Neural Network.

[BibT_eX]

[DOI]

Symmetry, 2020

Exploring Heterogeneous Information Networks via Pre-Training.

[BibT_eX]

[DOI]

Yang Fang

Xiang Zhao

Weidong Xiao

CoRR, 2020

Fine Grained Named Entity Recognition via Seq2seq Framework.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Symmetry, 2018

Knowledge Graph Representation via Similarity-Based Embedding.

[BibT_eX]

[DOI]

Sci. Program., 2018

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

[BibT_eX]

[DOI]

IEEE Access, 2018

Title-Based Extraction of News Contents for Text Mining.

[BibT_eX]

[DOI]

IEEE Access, 2018

Relational Knowledge Prediction via Dynamic Bi-Mode Embedding.

[BibT_eX]

[DOI]

IEEE Access, 2018

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

[BibT_eX]

[DOI]

IEEE Access, 2018

2017

Deep keyphrase generation with a convolutional sequence to sequence model.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2016

Knowledge Representation Learning via Dynamic Relation Spaces.

[BibT_eX]

[DOI]

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

Yang Fang

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...