Yin Fang

Orcid: 0000-0001-9538-848X

According to our database1, Yin Fang authored at least 39 papers between 2018 and 2025.

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

Timeline

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Bibliography

2025
Knowledge-guided Contextual Gene Set Analysis Using Large Language Models.
CoRR, June, 2025

Cell-o1: Training LLMs to Solve Single-Cell Reasoning Puzzles with Reinforcement Learning.
CoRR, June, 2025

Benchmarking Retrieval-Augmented Generation for Chemistry.
CoRR, May, 2025

Multi-Scale Target-Aware Representation Learning for Fundus Image Enhancement.
CoRR, May, 2025

RAG-Gym: Optimizing Reasoning and Search Agents with Process Supervision.
CoRR, February, 2025

A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction Following.
CoRR, January, 2025

Knowledge Graphs for Multi-modal Learning: Survey and Perspective.
Inf. Fusion, 2025

Vision transformer-based multimodal fusion network for classification of tumor malignancy on breast ultrasound: A retrospective multicenter study.
Int. J. Medical Informatics, 2025

Noise-powered Multi-modal Knowledge Graph Representation Framework.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

An Implantable Fully-Packaged Current-Controlled Wireless Near-Adiabatic Neural Stimulator Achieving 71.7% Peak Efficiency and 13.5% Efficiency Variation Across Supported Stimulation Current Range.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2025

2024
Distributed representations of entities in open-world knowledge graphs.
Knowl. Based Syst., 2024

The Future of Molecular Studies through the Lens of Large Language Models.
J. Chem. Inf. Model., 2024

The Power of Noise: Toward a Unified Multi-modal Knowledge Graph Representation Framework.
CoRR, 2024

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey.
CoRR, 2024

DRAK: Unlocking Molecular Insights with Domain-Specific Retrieval-Augmented Knowledge in LLMs.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

Knowledge-Informed Molecular Learning: A Survey on Paradigm Transfer.
Proceedings of the Knowledge Science, Engineering and Management, 2024

Revisit and Outstrip Entity Alignment: A Perspective of Generative Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Domain-Agnostic Molecular Generation with Chemical Feedback.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Knowledge graph-enhanced molecular contrastive learning with functional prompt.
Nat. Mac. Intell., May, 2023

Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering.
CoRR, 2023

Domain-Agnostic Molecular Generation with Self-feedback.
CoRR, 2023

Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment.
Proceedings of the Semantic Web - ISWC 2023, 2023

MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Graph Sampling-based Meta-Learning for Molecular Property Prediction.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid.
CoRR, 2022

DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning.
CoRR, 2022

Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer.
CoRR, 2022

Data-driven prediction of soliton solutions of the higher-order NLSE via the strongly-constrained PINN method.
Comput. Math. Appl., 2022

Design and evaluation of an autonomic nerve monitoring system based on skin sympathetic nerve activity.
Biomed. Signal Process. Control., 2022

LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection.
Proceedings of the 11th International Joint Conference on Knowledge Graphs, 2022

Molecular Contrastive Learning with Chemical Element Knowledge Graph.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Knowledge-aware Contrastive Molecular Graph Learning.
CoRR, 2021

2020
Few-Shot Learning for Chinese Legal Controversial Issues Classification.
IEEE Access, 2020

2019
Bayesian Non-Parametric Classification With Tree-Based Feature Transformation for NIPPV Efficacy Prediction in COPD Patients.
IEEE Access, 2019

2018
K-Means Clustering for Controversial Issues Merging in Chinese Legal Texts.
Proceedings of the Legal Knowledge and Information Systems, 2018


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