A Novel Grayscale Image Steganography via Generative Adversarial Network. - Zhihua Gan; Yuhao Zhong (WISA, 2021)

Learning-Based Health Prediction Method for Airborne DME Receiver with Signal Processing Techniques in 6G Networks. - Yuhao Zhong; Guocheng Yang; Hua Xu; Xue Qin; Dajiang Chen (J. Circuits Syst. Comput., 2022)

Generative adversarial networks-based image steganography with multiscale features integration. - Yalin Song; Yuhao Zhong; Zhihua Gan; Yang Yang 117; Junyang Yu; Xin He (J. Electronic Imaging, 2022)

EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations. - Yuhao Zhong; Anirban Bhattacharya; Satish T. S. Bukkapatnam (CoRR, 2023)

Enhanced SpO2 estimation using explainable machine learning and neck photoplethysmography. - Yuhao Zhong; Ashish Jatav; Kahkashan Afrin; Tejaswini Shivaram; Satish T. S. Bukkapatnam (Artif. Intell. Medicine, 2023)

Detecting Anomalous Robot Motion in Collaborative Robotic Manufacturing Systems. - Yuhao Zhong; Yalun Wen; Sarah K. Hopko; Adithyaa Karthikeyan; Prabhakar R. Pagilla; Ranjana K. Mehta; Satish T. S. Bukkapatnam (IEEE Internet Things J., 2024)

Collaborative robot true trajectories and pose estimations. - Yuhao Zhong (IEEE DataPort, 2024)

Collaborative robot true trajectories and pose estimations. - Yuhao Zhong (IEEE DataPort, 2024)

When Textures Deceive: Weakly Supervised Industrial Anomaly Detection with Adapted-Loss CycleGAN. - Tapan Ganatma Nakkina; Yuhao Zhong; Pete Sumethasorn; Haopeng Tian; Satish T. S. Bukkapatnam (CVPR Workshops, 2025)

DPM-LVSN: A Diffusion Probabilistic Model-based Left Ventricular Segmentation Network. - Jia Luo; Yuhao Zhong; Yi Ding; Chenghao Zhou; Minghui Pang (ICASSP, 2025)