Meng Xiao

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 30

Top Topics

Temporal Knowledge

Feature Transformation

Neurodegenerative Diseases

Topic Detection

Top Venues

Pattern Recognit.

Publications

Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Min Wu, Yuanchun Zhou, Meng Xiao
Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy. CoRR (2024)
Mengyi Huang, Meng Xiao, Ludi Wang, Yi Du
DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation. LREC/COLING (2024)
Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang
scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embedding. CoRR (2024)
Guojiao Lin, Zhen Meng, Dongjie Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao
GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation. CoRR (2024)
Cong Li, Meng Xiao, Pengfei Wang, Guihai Feng, Xin Li, Yuanchun Zhou
scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation. CoRR (2024)
Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Mengyi Huang, Meng Xiao, Ludi Wang, Yi Du
DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation. CoRR (2024)
Weiliang Zhang, Zhen Meng, Dongjie Wang, Min Wu, Kunpeng Liu, Yuanchun Zhou, Meng Xiao
Enhanced Gene Selection in Single-Cell Genomics: Pre-Filtering Synergy and Reinforced Optimization. CoRR (2024)
Wentao Cui, Qingqing Long, Meng Xiao, Xuezhi Wang, Guihai Feng, Xin Li, Pengfei Wang, Yuanchun Zhou
Refining computational inference of gene regulatory networks: integrating knockout data within a multi-task framework. Briefings Bioinform. 25 (5) (2024)
Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. CoRR (2024)
Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou
Temporal inductive path neural network for temporal knowledge graph reasoning. Artif. Intell. 329 (2024)
Ziyue Qiao, Junren Xiao, Qingqiang Sun, Meng Xiao, Hui Xiong
Holistic Memory Diversification for Incremental Learning in Growing Graphs. CoRR (2024)
Ziyue Qiao, Meng Xiao, Weiyu Guo, Xiao Luo, Hui Xiong
Information filtering and interpolating for semi-supervised graph domain adaptation. Pattern Recognit. 153 (2024)
Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. ICDM (2023)
Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions. CoRR (2023)
Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training. IEEE Trans. Big Data 9 (1) (2023)
Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective. CoRR (2023)
Xu Ye, Meng Xiao, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du, Yuanchun Zhou
NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis. SDM (2023)
Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou
Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning. CoRR (2023)
Meng Xiao, Min Wu, Ziyue Qiao, Yanjie Fu, Zhiyuan Ning, Yi Du, Yuanchun Zhou
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation. CoRR (2023)
Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, Yuanchun Zhou
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong
Semi-supervised Domain Adaptation in Graph Transfer Learning. CoRR (2023)
Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. ICDM (Workshops) (2023)
Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. CoRR (2023)
Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions. NeurIPS (2023)
Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong
Semi-supervised Domain Adaptation in Graph Transfer Learning. IJCAI (2023)
Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu
Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection. ICDM (2023)
Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. SDM (2023)
Xu Ye, Meng Xiao, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du, Yuanchun Zhou
NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis. CoRR (2022)
Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. CoRR (2022)