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 18 papers between 2021 and 2024.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective.
ACM Trans. Knowl. Discov. Data, May, 2024

DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation.
CoRR, 2024

scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation.
CoRR, 2024

2023
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification.
IEEE Trans. Knowl. Data Eng., September, 2023

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.
IEEE Trans. Big Data, February, 2023

Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning.
CoRR, 2023

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation.
CoRR, 2023

NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents.
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.
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.
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.
Proceedings of the IEEE International Conference on Data Mining, 2023

Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
Self-Optimizing Feature Transformation.
CoRR, 2022

Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals.
CoRR, 2022

2021
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.
CoRR, 2021

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.
CoRR, 2021

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.
Proceedings of the IEEE International Conference on Data Mining, 2021


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