Kaixuan Yao

25 papers A* 5A 4Journal 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
Causal inference for alleviating confounding bias in multi-criteria rating recommendation.
Inf. Process. Manag.
Zhihao Guo, Peng Song, Chenjiao Feng, Kaixuan Yao, Jiye Liang
2026 A* conf
Graph Adversarial Defense via Hilbert-Schmidt Independence Criterion against Influence Maximization Attacks.
WWW
Yuxing Guo, Jianqing Liang, Kaixuan Yao, Zhihao Guo, Jiye Liang
2026 A* conf
PAGE: Progressive Anomaly Generation Network for Semi-supervised Graph Anomaly Detection.
WWW
Ting Guo, Dongyu Pei, Gangzhu Qiao, Kaixuan Yao, Da Wang
2025 J jnl
Causal Inference for Multi-Criteria Rating Recommender Systems.
ACM Trans. Inf. Syst.
Zhihao Guo, Peng Song, Chenjiao Feng, Kaixuan Yao, Jiye Liang
2025 J jnl
Causal intervention for knowledge graph denoising in recommender systems.
Int. J. Mach. Learn. Cybern.
Zhihao Guo, Peng Song, Chenjiao Feng, Kaixuan Yao, Chuangyin Dang, Jiye Liang
2025 A* conf
Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation.
AAAI
Zhiqiang Wang, Jiayi Pan, Xingwang Zhao, Jianqing Liang, Chenjiao Feng, Kaixuan Yao
2025 A conf
Cross-Channel Graph Attention Mechanism for Deep Convolutional Neural Networks.
ECAI
Kaixuan Yao, Mingxu Zhang, Jiao Zhao, Junbiao Cui, Jiye Liang
2025 J jnl
Discrimination of Left Atrial Strain Patterns in Hypertensive Heart Disease and Hypertrophic Cardiomyopathy: a Cardiac Magnetic Resonance Feature.
J. Imaging Inform. Medicine
Huimin Xu, Wei Deng, Zixiang Pan, Kaixuan Yao, Jinxiu Yang, Zhen Wang, Hui Gao, Hongmin Shu, Ren Zhao, Yongqiang Yu, Yuchi Han, Xiaohu Li
2025 A conf
Hawkes Point Process-enhanced Dynamic Graph Neural Network.
WSDM
Zhiqiang Wang, Baijing Hu, Kaixuan Yao, Jiye Liang
2025 A* conf
Hyperbolic Multi-Criteria Rating Recommendation.
SIGIR
Zhihao Guo, Ting Han, Peng Song, Chenjiao Feng, Kaixuan Yao, Jiye Liang
2025 A* conf
Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer.
IJCAI
Chenghao Fang, Jianqing Liang, Jiye Liang, Hangkun Wang, Kaixuan Yao, Feilong Cao
2025 J jnl
TSI-GCN: Translation and scaling invariant GCN for 3D point cloud analysis.
Pattern Recognit. Lett.
Zijin Du, Jiye Liang, Kaixuan Yao, Feilong Cao
2024 J jnl
Black-Box Adversarial Attack on Graph Neural Networks With Node Voting Mechanism.
IEEE Trans. Knowl. Data Eng.
Liangliang Wen, Jiye Liang, Kaixuan Yao, Zhiqiang Wang
2024 J jnl
Comparing Strain Assessment in Compressed Sensing and Conventional Cine MRI.
J. Imaging Inform. Medicine
Kaixuan Yao, Wei Deng, Rong He, Hui Gao, Linlin Wang, Ren Zhao, Xiuzheng Yue, Yongqiang Yu, Liang Zhong, Xiaohu Li
2024 J jnl
GUIDE: Training Deep Graph Neural Networks via Guided Dropout Over Edges.
IEEE Trans. Neural Networks Learn. Syst.
Jie Wang, Jianqing Liang, Jiye Liang, Kaixuan Yao
2024 J jnl
Graph Regulation Network for Point Cloud Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Zijin Du, Jianqing Liang, Jiye Liang, Kaixuan Yao, Feilong Cao
2024 J jnl
Myocardial Transit Time Mapping by CMR: A Novel Indicator of Microcirculatory Dysfunction in Cardiac Amyloidosis.
J. Imaging Inform. Medicine
Jinxiu Yang, Zhen Wang, Huimin Wang, Peiyang Zheng, Wei Deng, Hui Gao, Kaixuan Yao, Yong Cheng, Mingkuan Wu, Rong He, Xiuzheng Yue, Yongqiang Yu, Ren Zhao, Xiaohu Li
2024 J jnl
Robust graph neural networks with Dirichlet regularization and residual connection.
Int. J. Mach. Learn. Cybern.
Kaixuan Yao, Zijin Du, Ming Li, Feilong Cao, Jiye Liang
2023 A conf
Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution.
WSDM
Shenggui Tang, Kaixuan Yao, Jianqing Liang, Zhiqiang Wang, Jiye Liang
2023 J jnl
Long and Short-Range Dependency Graph Structure Learning Framework on Point Cloud.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiye Liang, Zijin Du, Jianqing Liang, Kaixuan Yao, Feilong Cao
2022 J jnl
Graph convolutional autoencoders with co-learning of graph structure and node attributes.
Pattern Recognit.
Jie Wang, Jiye Liang, Kaixuan Yao, Jianqing Liang, Dianhui Wang
2022 A conf
Multi-Scale Variational Graph AutoEncoder for Link Prediction.
WSDM
Zhihao Guo, Feng Wang, Kaixuan Yao, Jiye Liang, Zhiqiang Wang
2022 J jnl
Multi-view graph convolutional networks with attention mechanism.
Artif. Intell.
Kaixuan Yao, Jiye Liang, Jianqing Liang, Ming Li, Feilong Cao
2021 J jnl
Deep neural network compression through interpretability-based filter pruning.
Pattern Recognit.
Kaixuan Yao, Feilong Cao, Yee Leung, Jiye Liang
2020 J jnl
Deconvolutional neural network for image super-resolution.
Neural Networks
Feilong Cao, Kaixuan Yao, Jiye Liang