Deconvolutional neural network for image super-resolution. - Feilong Cao; Kaixuan Yao; Jiye Liang (Neural Networks, 2020)

Deep neural network compression through interpretability-based filter pruning. - Kaixuan Yao; Feilong Cao; Yee Leung; Jiye Liang (Pattern Recognit., 2021)

Multi-Scale Variational Graph AutoEncoder for Link Prediction. - Zhihao Guo; Feng Wang 038; Kaixuan Yao; Jiye Liang; Zhiqiang Wang 005 (WSDM, 2022)

Multi-view graph convolutional networks with attention mechanism. - Kaixuan Yao; Jiye Liang; Jianqing Liang; Ming Li 065; Feilong Cao (Artif. Intell., 2022)

Graph convolutional autoencoders with co-learning of graph structure and node attributes. - Jie Wang 046; Jiye Liang; Kaixuan Yao; Jianqing Liang; Dianhui Wang (Pattern Recognit., 2022)

Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution. - Shenggui Tang; Kaixuan Yao; Jianqing Liang; Zhiqiang Wang 005; Jiye Liang (WSDM, 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., 2023)

GUIDE: Training Deep Graph Neural Networks via Guided Dropout Over Edges. - Jie Wang 046; Jianqing Liang; Jiye Liang; Kaixuan Yao (IEEE Trans. Neural Networks Learn. Syst., 2024)

Robust graph neural networks with Dirichlet regularization and residual connection. - Kaixuan Yao; Zijin Du; Ming Li 065; Feilong Cao; Jiye Liang (Int. J. Mach. Learn. Cybern., 2024)

Black-Box Adversarial Attack on Graph Neural Networks With Node Voting Mechanism. - Liangliang Wen; Jiye Liang; Kaixuan Yao; Zhiqiang Wang 005 (IEEE Trans. Knowl. Data Eng., 2024)

Graph Regulation Network for Point Cloud Segmentation. - Zijin Du; Jianqing Liang; Jiye Liang; Kaixuan Yao; Feilong Cao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation. - Zhiqiang Wang 005; Jiayi Pan 006; Xingwang Zhao; Jianqing Liang; Chenjiao Feng; Kaixuan Yao (AAAI, 2025)

Hyperbolic Multi-Criteria Rating Recommendation. - Zhihao Guo; Ting Han 001; Peng Song 004; Chenjiao Feng; Kaixuan Yao; Jiye Liang (SIGIR, 2025)

Hawkes Point Process-enhanced Dynamic Graph Neural Network. - Zhiqiang Wang 005; Baijing Hu; Kaixuan Yao; Jiye Liang (WSDM, 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)