NITES: A Non-Parametric Interpretable Texture Synthesis Method. - Xuejing Lei; Ganning Zhao; C.-C. Jay Kuo (APSIPA, 2020)

CalibDNN: Multimodal Sensor Calibration for Perception Using Deep Neural Networks. - Ganning Zhao; Jiesi Hu; Suya You; C.-C. Jay Kuo (CoRR, 2021)

Evaluation of Multimodal Semantic Segmentation using RGB-D Data. - Jiesi Hu; Ganning Zhao; Suya You; C.-C. Jay Kuo (CoRR, 2021)

TGHop: An Explainable, Efficient and Lightweight Method for Texture Generation. - Xuejing Lei; Ganning Zhao; Kaitai Zhang; C.-C. Jay Kuo (CoRR, 2021)

LGSQE: Lightweight Generated Sample Quality Evaluation. - Ganning Zhao; Vasileios Magoulianitis; Suya You; C.-C. Jay Kuo (ICIP, 2023)

A Study on Improving Realism of Synthetic Data for Machine Learning. - Tingwei Shen; Ganning Zhao; Suya You (CoRR, 2023)

Unsupervised Synthetic Image Refinement via Contrastive Learning and Consistent Semantic-Structural Constraints. - Ganning Zhao; Tingwei Shen; Suya You; C.-C. Jay Kuo (CoRR, 2023)

Meta Transfer of Self-Supervised Knowledge: Foundation Model in Action for Post-Traumatic Epilepsy Prediction. - Wenhui Cui; Haleh Akrami; Ganning Zhao; Anand A. Joshi; Richard M. Leahy (CoRR, 2023)

SemST: Semantically Consistent Multi-Scale Image Translation via Structure-Texture Alignment. - Ganning Zhao; Wenhui Cui; Suya You; C.-C. Jay Kuo (WACV, 2024)

A Lightweight Generalizable Evaluation and Enhancement Framework for Generative Models and Generated Samples. - Ganning Zhao; Vasileios Magoulianitis; Suya You; C.-C. Jay Kuo (WACV (Workshops), 2024)

Descrip3D: Enhancing Large Language Model-based 3D Scene Understanding with Object-Level Text Descriptions. - Jintang Xue; Ganning Zhao; Jie-En Yao; Hong-En Chen; Yue Hu; Meida Chen; Suya You; C.-C. Jay Kuo (CoRR, 2025)