S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification. - Pranav Kadam; Hardik Prajapati; Min Zhang 030; Jintang Xue; Shan Liu 001; C.-C. Jay Kuo (ICASSP, 2023)

A Tiny Machine Learning Model for Point Cloud Object Classification. - Min Zhang 030; Jintang Xue; Pranav Kadam; Hardik Prajapati; Shan Liu 001; C.-C. Jay Kuo (CoRR, 2023)

Bias and Fairness in Chatbots: An Overview. - Jintang Xue; Yun-Cheng Wang; Chengwei Wei; Xiaofeng Liu 001; Jonghye Woo; C.-C. Jay Kuo (CoRR, 2023)

An Overview on Generative AI at Scale With Edge-Cloud Computing. - Yuncheng Wang; Jintang Xue; Chengwei Wei; C.-C. Jay Kuo (IEEE Open J. Commun. Soc., 2023)

Efficient Feature Selection for Word Embedding Dimension Reduction. - Jintang Xue; Yun-Cheng Wang; Chengwei Wei; C.-C. Jay Kuo (APSIPA, 2024)

PCa-RadHop: A transparent and lightweight feed-forward method for clinically significant prostate cancer segmentation. - Vasileios Magoulianitis; Jiaxin Yang; Yijing Yang; Jintang Xue; Masatomo Kaneko; Giovanni E. Cacciamani; Andre Abreu; Vinay A. Duddalwar; C.-C. Jay Kuo; Inderbir S. Gill; Chrysostomos L. Nikias (Comput. Medical Imaging Graph., 2024)

Word Embedding Dimension Reduction via Weakly-Supervised Feature Selection. - Jintang Xue; Yun-Cheng Wang; Chengwei Wei; C.-C. Jay Kuo (CoRR, 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)