Jinyuan Fang

Orcid: 0000-0002-6886-5882

According to our database1, Jinyuan Fang authored at least 17 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Enhancing mobile app recommendations through adaptive fusion of long-term stability and short-term interests.
Inf. Sci., 2025

2024
Enhancing Graph Neural Networks via Memorized Global Information.
ACM Trans. Web, November, 2024

Knowledge Graph Embedding: A Survey from the Perspective of Representation Spaces.
ACM Comput. Surv., June, 2024

Heterogeneous Graph Contrastive Learning With Metapath-Based Augmentations.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

On the Structural Memory of LLM Agents.
CoRR, 2024

TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Enhancing Conversational Recommendation Systems with Representation Fusion.
ACM Trans. Web, February, 2023

Adaptive Compositional Continual Meta-Learning.
Proceedings of the International Conference on Machine Learning, 2023

KGPR: Knowledge Graph Enhanced Passage Ranking.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Hyperspherical Variational Co-embedding for Attributed Networks.
ACM Trans. Inf. Syst., 2022

Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Variational Continual Bayesian Meta-Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Structure-Aware Random Fourier Kernel for Graphs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Gaussian Process with Graph Convolutional Kernel for Relational Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2019
Semi-supervisedly Co-embedding Attributed Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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