Meng Xiao

Orcid: 0000-0001-5294-5776

Affiliations:

Computer Network Information Center, Chinese Academy of Sciences, Beijing, China
University of Chinese Academy of Sciences, Beijing, China

According to our database¹, Meng Xiao authored at least 46 papers between 2021 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Bibliography

2025

Soft graph clustering for single-cell RNA sequencing data.

[BibT_eX]

[DOI]

BMC Bioinform., December, 2025

SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generated LLMs.

[BibT_eX]

[DOI]

CoRR, August, 2025

Reinforcement Learning-based Feature Generation Algorithm for Scientific Data.

[BibT_eX]

[DOI]

Meng Xiao

Junfeng Zhou

Yuanchun Zhou

CoRR, July, 2025

GCAL: Adapting Graph Models to Evolving Domain Shifts.

[BibT_eX]

[DOI]

CoRR, May, 2025

m-KAILIN: Knowledge-Driven Agentic Scientific Corpus Distillation Framework for Biomedical Large Language Models Training.

[BibT_eX]

[DOI]

CoRR, April, 2025

Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, April, 2025

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization.

[BibT_eX]

[DOI]

CoRR, April, 2025

Large Language Model Agent: A Survey on Methodology, Applications and Challenges.

[BibT_eX]

[DOI]

CoRR, March, 2025

SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models.

[BibT_eX]

[DOI]

CoRR, March, 2025

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, February, 2025

Knowledge Hierarchy Guided Biological-Medical Dataset Distillation for Domain LLM Training.

[BibT_eX]

[DOI]

CoRR, January, 2025

Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation.

[BibT_eX]

[DOI]

CoRR, January, 2025

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective.

[BibT_eX]

[DOI]

CoRR, January, 2025

COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing.

[BibT_eX]

[DOI]

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Towards Continuous Reuse of Graph Models via Holistic Memory Diversification.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Fastft: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

Automated taxonomy alignment via large language models: bridging the gap between knowledge domains.

[BibT_eX]

[DOI]

Scientometrics, September, 2024

Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, May, 2024

Information filtering and interpolating for semi-supervised graph domain adaptation.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

BioRAG: A RAG-LLM Framework for Biological Question Reasoning.

[BibT_eX]

[DOI]

CoRR, 2024

Enhanced Gene Selection in Single-Cell Genomics: Pre-Filtering Synergy and Reinforced Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Holistic Memory Diversification for Incremental Learning in Growing Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy.

[BibT_eX]

[DOI]

CoRR, 2024

scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation.

[BibT_eX]

[DOI]

CoRR, 2024

Refining computational inference of gene regulatory networks: integrating knockout data within a multi-task framework.

[BibT_eX]

[DOI]

Briefings Bioinform., 2024

Temporal inductive path neural network for temporal knowledge graph reasoning.

[BibT_eX]

[DOI]

Artif. Intell., 2024

FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

SCREADER: Prompting Large Language Models to Interpret scRNA-seq Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2024

scCDCG: Efficient Deep Structural Clustering for Single-Cell RNA-Seq via Deep Cut-Informed Graph Embedding.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2024

DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

MOAT: Graph Prompting for 3D Molecular Graphs.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

GeneSum: Large Language Model-based Gene Summary Extraction.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification.

[BibT_eX]

[DOI]

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

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, February, 2023

NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents.

[BibT_eX]

[DOI]

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Semi-supervised Domain Adaptation in Graph Transfer Learning.

[BibT_eX]

[DOI]

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

Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Self-Optimizing Feature Transformation.

[BibT_eX]

[DOI]

CoRR, 2022

Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals.

[BibT_eX]

[DOI]

CoRR, 2022

2021

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.

[BibT_eX]

[DOI]

CoRR, 2021

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.

[BibT_eX]

[DOI]

CoRR, 2021

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Meng Xiao

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