Meng Xiao

According to our database, Meng Xiao authored at least 29 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Wentao Cui, Meng Xiao, Ludi Wang, Xuezhi Wang, Yi Du, Yuanchun Zhou

Scientometrics, September, 2024

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

Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu

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

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

Ziyue Qiao, Meng Xiao, Weiyu Guo, Xiao Luo, Hui Xiong

Pattern Recognit., 2024

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

Chengrui Wang, Qingqing Long, Meng Xiao, Xunxin Cai, Chengjun Wu, Zhen Meng, Xuezhi Wang, Yuanchun Zhou

CoRR, 2024

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

Weiliang Zhang, Zhen Meng, Dongjie Wang, Min Wu, Kunpeng Liu, Yuanchun Zhou, Meng Xiao

CoRR, 2024

Holistic Memory Diversification for Incremental Learning in Growing Graphs.

Ziyue Qiao, Junren Xiao, Qingqiang Sun, Meng Xiao, Hui Xiong

CoRR, 2024

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

Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Min Wu, Yuanchun Zhou, Meng Xiao

CoRR, 2024

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

Cong Li, Meng Xiao, Pengfei Wang, Guihai Feng, Xin Li, Yuanchun Zhou

CoRR, 2024

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

Wentao Cui, Qingqing Long, Meng Xiao, Xuezhi Wang, Guihai Feng, Xin Li, Pengfei Wang, Yuanchun Zhou

Briefings Bioinform., 2024

Temporal inductive path neural network for temporal knowledge graph reasoning.

Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou

Artif. Intell., 2024

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

Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou

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

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

Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang

Proceedings of the Database Systems for Advanced Applications, 2024

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

Mengyi Huang, Meng Xiao, Ludi Wang, Yi Du

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

MOAT: Graph Prompting for 3D Molecular Graphs.

Qingqing Long, Yuchen Yan, Wentao Cui, Wei Ju, Zhihong Zhu, Yuanchun Zhou, Xuezhi Wang, Meng Xiao

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

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

Guojiao Lin, Zhen Meng, Dongjie Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao

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

2023

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification.

Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, Yuanchun Zhou

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

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

Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou

IEEE Trans. Big Data, February, 2023

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

Meng Xiao, Min Wu, Ziyue Qiao, Yanjie Fu, Zhiyuan Ning, Yi Du, Yuanchun Zhou

CoRR, 2023

NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis.

Xu Ye, Meng Xiao, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du, Yuanchun Zhou

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

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents.

Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu

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.

Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu

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.

Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong

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.

Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou

Proceedings of the IEEE International Conference on Data Mining, 2023

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

Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Self-Optimizing Feature Transformation.

Meng Xiao, Dongjie Wang, Yanjie Fu, Kunpeng Liu, Min Wu, Hui Xiong, Yuanchun Zhou

CoRR, 2022

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

Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Dong Li, Yuanchun Zhou

CoRR, 2022

2021

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

Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou

CoRR, 2021

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

Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang

CoRR, 2021

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

Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, Yuanchun Zhou

Proceedings of the IEEE International Conference on Data Mining, 2021