Kaixuan Yao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Graph Structure

Link Prediction

Top Venues

Pattern Recognit.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Jie Wang, Jianqing Liang, Jiye Liang, Kaixuan Yao
GUIDE: Training Deep Graph Neural Networks via Guided Dropout Over Edges. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Jiye Liang, Zijin Du, Jianqing Liang, Kaixuan Yao, Feilong Cao
Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Shenggui Tang, Kaixuan Yao, Jianqing Liang, Zhiqiang Wang, Jiye Liang
Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution. WSDM (2023)
Jie Wang, Jiye Liang, Kaixuan Yao, Jianqing Liang, Dianhui Wang
Graph convolutional autoencoders with co-learning of graph structure and node attributes. Pattern Recognit. 121 (2022)
Kaixuan Yao, Jiye Liang, Jianqing Liang, Ming Li, Feilong Cao
Multi-view graph convolutional networks with attention mechanism. Artif. Intell. 307 (2022)
Zhihao Guo, Feng Wang, Kaixuan Yao, Jiye Liang, Zhiqiang Wang
Multi-Scale Variational Graph AutoEncoder for Link Prediction. WSDM (2022)
Kaixuan Yao, Feilong Cao, Yee Leung, Jiye Liang
Deep neural network compression through interpretability-based filter pruning. Pattern Recognit. 119 (2021)
Feilong Cao, Kaixuan Yao, Jiye Liang
Deconvolutional neural network for image super-resolution. Neural Networks 132 (2020)