Meixia Qu

According to our database, Meixia Qu authored at least 19 papers between 2007 and 2026.

Collaborative distances:

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

2026

Generalized Category Discovery in Federated Graph Learning.

Zhongzheng Yuan, Lianshuai Guo, Xunkai Li, Wenyu Wang, Meixia Qu

CoRR, May, 2026

Towards effective few-shot OOD detection for text-attributed graphs via topology-Text consensus modeling.

Xu Wang, Yinlin Zhu, Xunkai Li, Meixia Qu, Wenyu Wang

Knowl. Based Syst., 2026

FedASU: Attention-guided sensitivity unlearning framework for multi-scenario federated graph unlearning.

Jiaqi Chao, Xunkai Li, Yuming Ai, Meixia Qu

Expert Syst. Appl., 2026

2025

DFed-SST: Building Semantic- and Structure-aware Topologies for Decentralized Federated Graph Learning.

Lianshuai Guo, Zhongzheng Yuan, Xunkai Li, Yinlin Zhu, Meixia Qu, Wenyu Wang

CoRR, August, 2025

FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting.

Zhongzheng Yuan, Lianshuai Guo, Xunkai Li, Yinlin Zhu, Wenyu Wang, Meixia Qu

CoRR, July, 2025

Effective Global Context Integration for Lightweight 3D Medical Image Segmentation.

Qiang Qiao, Meixia Qu, Wenyu Wang, Bin Jiang, Qiang Guo

IEEE Trans. Circuits Syst. Video Technol., May, 2025

FedPPD: Towards effective subgraph federated learning via pseudo prototype distillation.

Qi Lin, Jishuo Jia, Yinlin Zhu, Xunkai Li, Bin Jiang, Meixia Qu

Neural Networks, 2025

FAformer: Exploring Frequency and Attention in Transformers for Long-Term Time Series Forecasting.

Jiawei Gu, Dingxin Cheng, Qiang Guo, Bin Jiang, Wenyu Wang, Meixia Qu

Proceedings of the International Joint Conference on Neural Networks, 2025

Mamba-based Layer-wise Progressive Fusion Network with Depthwise Enhancement for Low-resource Speech Recognition.

Xuanda Chen, Dingxin Cheng, Fei Hou, Bin Jiang, Xuchen Li, Wenyu Wang, Meixia Qu

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

MEEG and AT-DGNN: Advancing EEG Emotion Recognition with Music and Graph Learning.

Minghao Xiao, Zhengxi Zhu, Wenyu Wang, Meixia Qu

CoRR, 2024

Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis.

Qiang Qiao, Wenyu Wang, Meixia Qu, Kun Su, Bin Jiang, Qiang Guo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Long Term Memory-Enhanced Via Causal Reasoning for Text-To-Video Retrieval.

Dingxin Cheng, Shuhan Kong, Wenyu Wang, Meixia Qu, Bin Jiang

Proceedings of the IEEE International Conference on Acoustics, 2024

BEI-DETR: A Multimodal Remote Sensing Object Detection via Integrating EEG and Eye Movement.

Junfeng Huang, Mengyue Zhang, Min Wang, Gang Wang, Meixia Qu, Bin Jiang, Qiang Guo

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

2023

Effective hybrid graph and hypergraph convolution network for collaborative filtering.

Xunkai Li, Ronghui Guo, Jianwen Chen, Youpeng Hu, Meixia Qu, Bin Jiang

Neural Comput. Appl., 2023

2021

A Simple Graph Convolutional Network With Abundant Interaction for Collaborative Filtering.

Ronghui Guo, Xunkai Li, Youpeng Hu, Yixuan Wu, Xin Xiong, Meixia Qu

IEEE Access, 2021

2020

A Deep Graph Structured Clustering Network.

Xunkai Li, Youpeng Hu, Yaoqi Sun, Ji Hu, Jiyong Zhang, Meixia Qu

IEEE Access, 2020

2013

Implementing program extraction from CL1-proofs.

Meixia Qu, Ke Chen, Daming Zhu, Junfeng Luan

CoRR, 2013

2012

On the toggling-branching recurrence of Computability Logic

Meixia Qu, Junfeng Luan, Daming Zhu

CoRR, 2012

2007

Algorithms for the Well-Drilling Layout Problem.

Aili Han, Daming Zhu, Shouqiang Wang, Meixia Qu

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007