Yin Fang

Orcid: 0000-0001-9538-848X

According to our database¹, Yin Fang authored at least 29 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Distributed representations of entities in open-world knowledge graphs.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

The Future of Molecular Studies through the Lens of Large Language Models.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2024

The Power of Noise: Toward a Unified Multi-modal Knowledge Graph Representation Framework.

[BibT_eX]

[DOI]

CoRR, 2024

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, 2024

DRAK: Unlocking Molecular Insights with Domain-Specific Retrieval-Augmented Knowledge in LLMs.

[BibT_eX]

[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Knowledge-Informed Molecular Learning: A Survey on Paradigm Transfer.

[BibT_eX]

[DOI]

Proceedings of the Knowledge Science, Engineering and Management, 2024

Revisit and Outstrip Entity Alignment: A Perspective of Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Domain-Agnostic Molecular Generation with Chemical Feedback.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Knowledge graph-enhanced molecular contrastive learning with functional prompt.

[BibT_eX]

[DOI]

Nat. Mac. Intell., May, 2023

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering.

[BibT_eX]

[DOI]

CoRR, 2023

Domain-Agnostic Molecular Generation with Self-feedback.

[BibT_eX]

[DOI]

CoRR, 2023

Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - ISWC 2023, 2023

MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Graph Sampling-based Meta-Learning for Molecular Property Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid.

[BibT_eX]

[DOI]

CoRR, 2022

DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer.

[BibT_eX]

[DOI]

CoRR, 2022

Data-driven prediction of soliton solutions of the higher-order NLSE via the strongly-constrained PINN method.

[BibT_eX]

[DOI]

Comput. Math. Appl., 2022

Design and evaluation of an autonomic nerve monitoring system based on skin sympathetic nerve activity.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2022

LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection.

[BibT_eX]

[DOI]

Proceedings of the 11th International Joint Conference on Knowledge Graphs, 2022

Molecular Contrastive Learning with Chemical Element Knowledge Graph.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Knowledge-aware Contrastive Molecular Graph Learning.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Few-Shot Learning for Chinese Legal Controversial Issues Classification.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Bayesian Non-Parametric Classification With Tree-Based Feature Transformation for NIPPV Efficacy Prediction in COPD Patients.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

K-Means Clustering for Controversial Issues Merging in Chinese Legal Texts.

[BibT_eX]

[DOI]

Proceedings of the Legal Knowledge and Information Systems, 2018

Yin Fang

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