Jintang Xue

According to our database, Jintang Xue authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

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, July, 2025

2024

Word Embedding Dimension Reduction via Weakly-Supervised Feature Selection.

Jintang Xue, Yun-Cheng Wang, Chengwei Wei, C.-C. Jay Kuo

CoRR, 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

Efficient Feature Selection for Word Embedding Dimension Reduction.

Jintang Xue, Yun-Cheng Wang, Chengwei Wei, C.-C. Jay Kuo

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2024

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

Bias and Fairness in Chatbots: An Overview.

Jintang Xue, Yun-Cheng Wang, Chengwei Wei, Xiaofeng Liu, Jonghye Woo, C.-C. Jay Kuo

CoRR, 2023

A Tiny Machine Learning Model for Point Cloud Object Classification.

Min Zhang, Jintang Xue, Pranav Kadam, Hardik Prajapati, Shan Liu, C.-C. Jay Kuo

CoRR, 2023

S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification.

Pranav Kadam, Hardik Prajapati, Min Zhang, Jintang Xue, Shan Liu, C.-C. Jay Kuo

Proceedings of the IEEE International Conference on Acoustics, 2023