Kaixuan Yao

According to our database, Kaixuan Yao authored at least 15 papers between 2020 and 2025.

Collaborative distances:

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

2025

TSI-GCN: Translation and scaling invariant GCN for 3D point cloud analysis.

Zijin Du, Jiye Liang, Kaixuan Yao, Feilong Cao

Pattern Recognit. Lett., 2025

Hawkes Point Process-enhanced Dynamic Graph Neural Network.

Zhiqiang Wang, Baijing Hu, Kaixuan Yao, Jiye Liang

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

Hyperbolic Multi-Criteria Rating Recommendation.

Zhihao Guo, Ting Han, Peng Song, Chenjiao Feng, Kaixuan Yao, Jiye Liang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation.

Zhiqiang Wang, Jiayi Pan, Xingwang Zhao, Jianqing Liang, Chenjiao Feng, Kaixuan Yao

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Graph Regulation Network for Point Cloud Segmentation.

Zijin Du, Jianqing Liang, Jiye Liang, Kaixuan Yao, Feilong Cao

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Black-Box Adversarial Attack on Graph Neural Networks With Node Voting Mechanism.

Liangliang Wen, Jiye Liang, Kaixuan Yao, Zhiqiang Wang

IEEE Trans. Knowl. Data Eng., October, 2024

Robust graph neural networks with Dirichlet regularization and residual connection.

Kaixuan Yao, Zijin Du, Ming Li, Feilong Cao, Jiye Liang

Int. J. Mach. Learn. Cybern., September, 2024

GUIDE: Training Deep Graph Neural Networks via Guided Dropout Over Edges.

Jie Wang, Jianqing Liang, Jiye Liang, Kaixuan Yao

IEEE Trans. Neural Networks Learn. Syst., April, 2024

2023

Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud.

Jiye Liang, Zijin Du, Jianqing Liang, Kaixuan Yao, Feilong Cao

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution.

Shenggui Tang, Kaixuan Yao, Jianqing Liang, Zhiqiang Wang, Jiye Liang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

2022

Graph convolutional autoencoders with co-learning of graph structure and node attributes.

Jie Wang, Jiye Liang, Kaixuan Yao, Jianqing Liang, Dianhui Wang

Pattern Recognit., 2022

Multi-view graph convolutional networks with attention mechanism.

Kaixuan Yao, Jiye Liang, Jianqing Liang, Ming Li, Feilong Cao

Artif. Intell., 2022

Multi-Scale Variational Graph AutoEncoder for Link Prediction.

Zhihao Guo, Feng Wang, Kaixuan Yao, Jiye Liang, Zhiqiang Wang

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021

Deep neural network compression through interpretability-based filter pruning.

Kaixuan Yao, Feilong Cao, Yee Leung, Jiye Liang

Pattern Recognit., 2021

2020

Deconvolutional neural network for image super-resolution.

Feilong Cao, Kaixuan Yao, Jiye Liang

Neural Networks, 2020