Yao Hu

18 papers B 2Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning.
IEEE Trans. Neural Networks Learn. Syst.
Yajie Zhang, Yao Hu, Chengjun Cai, Yu-An Huang, Zhi-An Huang, Kay Chen Tan
2025 J jnl
CausalMixNet: A mixed-attention framework for causal intervention in robust medical image diagnosis.
Medical Image Anal.
Yajie Zhang, Yu-An Huang, Yao Hu, Rui Liu, Jibin Wu, Zhi-An Huang, Kay Chen Tan
2025 J jnl
Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis.
IEEE Trans. Cybern.
Rui Liu, Yao Hu, Jibin Wu, Ka-Chun Wong, Zhi-An Huang, Yu-An Huang, Kay Chen Tan
2025 J jnl
Surrogate-Assisted Search With Competitive Knowledge Transfer for Expensive Optimization.
IEEE Trans. Evol. Comput.
Xiaoming Xue, Yao Hu, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan
2025 J jnl
scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis.
CoRR
Yu-An Huang, Yao Hu, Yue-Chao Li, Xiyue Cao, Xinyuan Li, Kay Chen Tan, Zhu-Hong You, Zhi-An Huang
2024 J jnl
Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI.
IEEE Trans. Neural Networks Learn. Syst.
Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka-Chun Wong, Kay Chen Tan
2024 B conf
Heterogeneous Structured Federated Learning with Graph Convolutional Aggregation for MRI-Based Mental Disorder Diagnosis.
IJCNN
Yao Hu, Rui Liu, Jiaqi Zhang, Zhi-An Huang, Linqi Song, Kay Chen Tan
2024 J jnl
Spatial-Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data.
IEEE Trans. Neural Networks Learn. Syst.
Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka-Chun Wong, Kay Chen Tan
2024 J jnl
Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data.
IEEE Trans. Emerg. Top. Comput. Intell.
Rui Liu, Zhi-An Huang, Yao Hu, Lei Huang, Ka-Chun Wong, Kay Chen Tan
2024 J jnl
Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization.
CoRR
Xiaoming Xue, Yao Hu, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan
2023 J jnl
Communication Efficient Federated Learning With Heterogeneous Structured Client Models.
IEEE Trans. Emerg. Top. Comput. Intell.
Yao Hu, Xiaoyan Sun, Ye Tian, Linqi Song, Kay Chen Tan
2023 J jnl
Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans.
IEEE Trans. Biomed. Eng.
Zhi-An Huang, Yao Hu, Rui Liu, Xiaoming Xue, Zexuan Zhu, Linqi Song, Kay Chen Tan
2023 J jnl
Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans.
IEEE Trans. Pattern Anal. Mach. Intell.
Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Xiaoyan Sun, Linqi Song, Kay Chen Tan
2022 B conf
A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans.
IJCNN
Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Linqi Song, Kay Chen Tan
2022 J jnl
Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems.
IEEE Trans. Evol. Comput.
Xiaoming Xue, Cuie Yang, Yao Hu, Kai Zhang, Yiu-ming Cheung, Linqi Song, Kay Chen Tan
2019 J jnl
An Enhanced LSTM for Trend Following of Time Series.
IEEE Access
Yao Hu, Xiaoyan Sun, Xin Nie, Yuzhu Li, Lian Liu
2019 — conf
Federated Learning Assisted Interactive EDA with Dual Probabilistic Models for Personalized Search.
ICSI (1)
Yang Chen, Xiaoyan Sun, Yao Hu
2019 — conf
Model and Feature Aggregation Based Federated Learning for Multi-sensor Time Series Trend Following.
IWANN (1)
Yao Hu, Xiaoyan Sun, Yang Chen, Zishuai Lu