Yao Hu

According to our database, Yao Hu authored at least 17 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Anti-Confounding Hashing: Enhancing Radiological Image Retrieval via Debiased Weighting and Counterfactual Reasoning.

Yajie Zhang, Yao Hu, Chengjun Cai, Yu-An Huang, Zhi-An Huang, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Dynamic Graph Representation Learning for Spatio-Temporal Neuroimaging Analysis.

Rui Liu, Yao Hu, Jibin Wu, Ka-Chun Wong, Zhi-An Huang, Yu-An Huang, Kay Chen Tan

IEEE Trans. Cybern., March, 2025

scBIT: Integrating Single-cell Transcriptomic Data into fMRI-based Prediction for Alzheimer's Disease Diagnosis.

Yu-An Huang, Yao Hu, Yue-Chao Li, Xiyue Cao, Xinyuan Li, Kay Chen Tan, Zhu-Hong You, Zhi-An Huang

CoRR, February, 2025

CausalMixNet: A mixed-attention framework for causal intervention in robust medical image diagnosis.

Yajie Zhang, Yu-An Huang, Yao Hu, Rui Liu, Jibin Wu, Zhi-An Huang, Kay Chen Tan

Medical Image Anal., 2025

2024

Spatio-Temporal Hybrid Attentive Graph Network for Diagnosis of Mental Disorders on fMRI Time-Series Data.

Rui Liu, Zhi-An Huang, Yao Hu, Lei Huang, Ka-Chun Wong, Kay Chen Tan

IEEE Trans. Emerg. Top. Comput. Intell., December, 2024

Spatial-Temporal Co-Attention Learning for Diagnosis of Mental Disorders From Resting-State fMRI Data.

Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka-Chun Wong, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI.

Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka-Chun Wong, Kay Chen Tan

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization.

Xiaoming Xue, Yao Hu, Liang Feng, Kai Zhang, Linqi Song, Kay Chen Tan

CoRR, 2024

Heterogeneous Structured Federated Learning with Graph Convolutional Aggregation for MRI-Based Mental Disorder Diagnosis.

Yao Hu, Rui Liu, Jiaqi Zhang, Zhi-An Huang, Linqi Song, Kay Chen Tan

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Source Free Semi-Supervised Transfer Learning for Diagnosis of Mental Disorders on fMRI Scans.

Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Xiaoyan Sun, Linqi Song, Kay Chen Tan

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Communication Efficient Federated Learning With Heterogeneous Structured Client Models.

Yao Hu, Xiaoyan Sun, Ye Tian, Linqi Song, Kay Chen Tan

IEEE Trans. Emerg. Top. Comput. Intell., June, 2023

Federated Multi-Task Learning for Joint Diagnosis of Multiple Mental Disorders on MRI Scans.

Zhi-An Huang, Yao Hu, Rui Liu, Xiaoming Xue, Zexuan Zhu, Linqi Song, Kay Chen Tan

IEEE Trans. Biomed. Eng., April, 2023

2022

Evolutionary Sequential Transfer Optimization for Objective-Heterogeneous Problems.

Xiaoming Xue, Cuie Yang, Yao Hu, Kai Zhang, Yiu-Ming Cheung, Linqi Song, Kay Chen Tan

IEEE Trans. Evol. Comput., 2022

A Dual-Stage Pseudo-Labeling Method for the Diagnosis of Mental Disorder on MRI Scans.

Yao Hu, Zhi-An Huang, Rui Liu, Xiaoming Xue, Linqi Song, Kay Chen Tan

Proceedings of the International Joint Conference on Neural Networks, 2022

2019

An Enhanced LSTM for Trend Following of Time Series.

Yao Hu, Xiaoyan Sun, Xin Nie, Yuzhu Li, Lian Liu

IEEE Access, 2019

Federated Learning Assisted Interactive EDA with Dual Probabilistic Models for Personalized Search.

Yang Chen, Xiaoyan Sun, Yao Hu

Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019

Model and Feature Aggregation Based Federated Learning for Multi-sensor Time Series Trend Following.

Yao Hu, Xiaoyan Sun, Yang Chen, Zishuai Lu

Proceedings of the Advances in Computational Intelligence, 2019