Model and Feature Aggregation Based Federated Learning for Multi-sensor Time Series Trend Following. - Yao Hu 001; Xiaoyan Sun 002; Yang Chen 007; Zishuai Lu (IWANN (1), 2019)

Federated Learning Assisted Interactive EDA with Dual Probabilistic Models for Personalized Search. - Yang Chen 007; Xiaoyan Sun 002; Yao Hu 001 (ICSI (1), 2019)

An Enhanced LSTM for Trend Following of Time Series. - Yao Hu 001; Xiaoyan Sun 002; Xin Nie; Yuzhu Li; Lian Liu (IEEE Access, 2019)

A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans. - Yao Hu 001; Zhi-An Huang; Rui Liu 038; Xiaoming Xue; Linqi Song; Kay Chen Tan (IJCNN, 2022)

Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems. - Xiaoming Xue; Cuie Yang; Yao Hu 001; Kai Zhang 029; Yiu-Ming Cheung; Linqi Song; Kay Chen Tan (IEEE Trans. Evol. Comput., 2022)

Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans. - Zhi-An Huang; Yao Hu 001; Rui Liu 038; Xiaoming Xue; Zexuan Zhu; Linqi Song; Kay Chen Tan (IEEE Trans. Biomed. Eng., 2023)

Communication Efficient Federated Learning With Heterogeneous Structured Client Models. - Yao Hu 001; Xiaoyan Sun 002; Ye Tian 009; Linqi Song; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans. - Yao Hu 001; Zhi-An Huang; Rui Liu 038; Xiaoming Xue; Xiaoyan Sun 002; Linqi Song; Kay Chen Tan (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Heterogeneous Structured Federated Learning with Graph Convolutional Aggregation for MRI-Based Mental Disorder Diagnosis. - Yao Hu 001; Rui Liu 038; Jiaqi Zhang; Zhi-An Huang; Linqi Song; Kay Chen Tan (IJCNN, 2024)

Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization. - Xiaoming Xue; Yao Hu 001; Liang Feng 001; Kai Zhang 029; Linqi Song; Kay Chen Tan (CoRR, 2024)

Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI. - Rui Liu 038; Zhi-An Huang; Yao Hu 001; Zexuan Zhu; Ka-Chun Wong; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Spatial-Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data. - Rui Liu 038; Zhi-An Huang; Yao Hu 001; Zexuan Zhu; Ka-Chun Wong; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data. - Rui Liu 038; Zhi-An Huang; Yao Hu 001; Lei Huang; Ka-Chun Wong; Kay Chen Tan (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

CausalMixNet: A mixed-attention framework for causal intervention in robust medical image diagnosis. - Yajie Zhang; Yu-An Huang; Yao Hu 001; Rui Liu 038; Jibin Wu; Zhi-An Huang; Kay Chen Tan (Medical Image Anal., 2025)

scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis. - Yu-An Huang; Yao Hu 001; Yue-Chao Li; Xiyue Cao; Xinyuan Li; Kay Chen Tan; Zhu-Hong You; Zhi-An Huang (CoRR, 2025)

Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis. - Rui Liu 038; Yao Hu 001; Jibin Wu; Ka-Chun Wong; Zhi-An Huang; Yu-An Huang; Kay Chen Tan (IEEE Trans. Cybern., 2025)

Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning. - Yajie Zhang; Yao Hu 001; Chengjun Cai; Yu-An Huang; Zhi-An Huang; Kay Chen Tan (IEEE Trans. Neural Networks Learn. Syst., 2025)