Probabilistic modeling approach for interpretable inference and prediction with data for sepsis diagnosis. - Shuaiyu Yao; Jian-Bo Yang; Dong-Ling Xu; Paul Dark (Expert Syst. Appl., 2021)

A probabilistic modeling approach for interpretable data inference and classification. - Shuaiyu Yao; Jian-Bo Yang; Dong-Ling Xu (J. Intell. Fuzzy Syst., 2021)

Aspect-level Sentiment Classification with Multi-head-attention-based Multi-channel Graph Convolutional Networks. - Can Cui; Luyuan Xu; Bo Liu; Jing Chen; Shuaiyu Yao; Qi Kang (ICNSC, 2022)

Homogeneous-Heterogeneous Interaction Graph for Deep Learning-based Recommendation Systems. - Zhi Li; Zhibiao Ba; Shuaiyu Yao (ICNSC, 2022)

Texture Segmentation on Synthesized Vascular Image. - Qinhao Wu; Shuaiyu Yao; Tim Morris 001; Qi Kang (ICNSC, 2022)

Chaotic resonance in discrete fractional-order LIF neural network motifs. - Hao Yin; Jiacheng Tang; Bo Liu; Shuaiyu Yao; Qi Kang (Int. J. Bio Inspired Comput., 2023)

An MCTS-Based Solution Approach to Solve Large-Scale Airline Crew Pairing Problems. - Yuewen Li; Xiaoling Wang 003; Qi Kang; Zheng Fan; Shuaiyu Yao (IEEE Trans. Intell. Transp. Syst., 2023)

Using Pyramid Vision Transformer for Assisting Glaucoma Diagnosis with Small Datasets. - Qinhao Wu; Shuaiyu Yao; Wendi Ouyang; Jingzhe Huang; Qi Kang (ICNSC, 2024)

FPRAN: A Hierarchical Generative Model for Few-Shot Pantograph Fault Diagnosis. - Qihui Xu; Jiacheng Tang; Qi Kang; Qinhao Wu; Shuaiyu Yao (ICNSC, 2024)

Enhanced Segmentation for CT Images of Visceral Organs Based on Directional Connectivity. - Shuaiyu Yao; Yuchen Dai; Yuehao Zhao; Bochun Hu; Lihang Yao; Qi Kang (ICNSC, 2024)

New Class Discovery of Steel Surface Defects Using Multi-View Self-Labeling and Overclustering. - Shuaiyu Yao; Lihang Yao; Sijian Ren; Xinyu Ma; Qi Kang; Xudong Shi 001 (ICNSC, 2024)