DCODE: A Distributed Column-Oriented Database Engine for Big Data Analytics. - Yanchen Liu; Fang Cao; Masood S. Mortazavi; Mengmeng Chen; Ning Yan; Chi Ku; Aniket Adnaik; Stephen Morgan; Guangyu Shi; Yuhu Wang; Fan Fang (ICT-EurAsia/CONFENIS, 2015)

How do we move towards true artificial intelligence. - Wei Liu 122; Guangda Zhuang; Xin Liu; Shaobo Hu; Ruilin He; Yuhu Wang (HPCC/DSS/SmartCity/DependSys, 2021)

A lightweight hierarchical convolution network for brain tumor segmentation. - Yuhu Wang; Yuzhen Cao; Jinqiu Li; Hongtao Wu; Shuo Wang; Xinming Dong; Hui Yu (BMC Bioinform., 2021)

Discriminative Graph Representation Learning with Distributed Sampling. - Jinyong Wen; Yuhu Wang; Chunxia Zhang 001; Shiming Xiang; Chunhong Pan (BIBM, 2022)

An automated segmentation model based on CBAM for MR image of glioma tumors. - Yuzhen Cao; Qinhao Zhang; Jinqiu Li; Yuhu Wang; Dongyi Liu; Hui Yu (BIC, 2022)

TVGCN: Time-variant graph convolutional network for traffic forecasting. - Yuhu Wang; Shen Fang; Chunxia Zhang 001; Shiming Xiang; Chunhong Pan (Neurocomputing, 2022)

Subgraph-aware graph structure revision for spatial-temporal graph modeling. - Yuhu Wang; Chunxia Zhang 001; Shiming Xiang; Chunhong Pan (Neural Networks, 2022)

Improving the Homophily of Heterophilic Graphs for Semi-Supervised Node Classification. - Yuhu Wang; Shiming Xiang; Chunhong Pan (ICME, 2023)

Graph Information Interaction on Feature and Structure via Cross-modal Contrastive Learning. - Jinyong Wen; Yuhu Wang; Chunxia Zhang 001; Shiming Xiang; Chunhong Pan (ICME, 2023)

Graph convolutional network with tree-guided anisotropic message passing. - Ruixiang Wang; Yuhu Wang; Chunxia Zhang 001; Shiming Xiang; Chunhong Pan (Neural Networks, 2023)

Graph Aggregating-Repelling Network: Do Not Trust All Neighbors in Heterophilic Graphs. - Yuhu Wang; Jinyong Wen; Chunxia Zhang 001; Shiming Xiang (Neural Networks, 2024)