Improved Detection of Adversarial Images Using Deep Neural Networks. - Yutong Gao 002; Yi Pan (CoRR, 2020)

A review of infant cry analysis and classification. - Chunyan Ji; Thosini Bamunu Mudiyanselage; Yutong Gao 002; Yi Pan 001 (EURASIP J. Audio Speech Music. Process., 2021)

Transient Intervals of Significantly Different Whole Brain Connectivity Predict Recovery vs. Progression from Mild Cognitive Impairment: New Insights from Interpretable LSTM Classifiers. - Yutong Gao 002; Vince D. Calhoun; Robyn L. Miller (EMBC, 2022)

Interpretable LSTM model reveals transiently-realized patterns of dynamic brain connectivity that predict patient deterioration or recovery from very mild cognitive impairment. - Yutong Gao 002; Noah Lewis; Vince D. Calhoun; Robyn L. Miller (Comput. Biol. Medicine, 2023)

Improving Age Prediction: Utilizing LSTM-Based Dynamic Forecasting For Data Augmentation in Multivariate Time Series Analysis. - Yutong Gao 002; Charles A. Ellis; Vince D. Calhoun; Robyn L. Miller (SSIAI, 2024)

Generative forecasting of brain activity enhances Alzheimer's classification and interpretation. - Yutong Gao 002; Vince D. Calhoun; Robyn L. Miller (CoRR, 2024)

MultiViT2: A Data-augmented Multimodal Neuroimaging Prediction Framework via Latent Diffusion Model. - Yuda Bi; Sihan Jia; Yutong Gao 002; Anees Abrol; Zening Fu; Vince D. Calhoun (CoRR, 2025)