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2020 – today
- 2025
[i6]Jintang Xue, Ganning Zhao, Jie-En Yao, Hong-En Chen, Yue Hu, Meida Chen, Suya You, C.-C. Jay Kuo:
Descrip3D: Enhancing Large Language Model-based 3D Scene Understanding with Object-Level Text Descriptions. CoRR abs/2507.14555 (2025)- 2024
- [j2]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:
PCa-RadHop: A transparent and lightweight feed-forward method for clinically significant prostate cancer segmentation. Comput. Medical Imaging Graph. 116: 102408 (2024) - [c2]Jintang Xue, Yun-Cheng Wang, Chengwei Wei, C.-C. Jay Kuo:
Efficient Feature Selection for Word Embedding Dimension Reduction. APSIPA 2024: 1-6 - [i5]Jintang Xue, Yun-Cheng Wang, Chengwei Wei, C.-C. Jay Kuo:
Word Embedding Dimension Reduction via Weakly-Supervised Feature Selection. CoRR abs/2407.12342 (2024) - 2023
- [j1]Yuncheng Wang, Jintang Xue, Chengwei Wei, C.-C. Jay Kuo:
An Overview on Generative AI at Scale With Edge-Cloud Computing. IEEE Open J. Commun. Soc. 4: 2952-2971 (2023) - [c1]Pranav Kadam, Hardik Prajapati, Min Zhang, Jintang Xue, Shan Liu, C.-C. Jay Kuo:
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification. ICASSP 2023: 1-5 - [i4]Pranav Kadam, Hardik Prajapati, Min Zhang, Jintang Xue, Shan Liu, C.-C. Jay Kuo:
S3I-PointHop: SO(3)-Invariant PointHop for 3D Point Cloud Classification. CoRR abs/2302.11506 (2023) - [i3]Min Zhang, Jintang Xue, Pranav Kadam, Hardik Prajapati, Shan Liu, C.-C. Jay Kuo:
A Tiny Machine Learning Model for Point Cloud Object Classification. CoRR abs/2303.10898 (2023) - [i2]Yun-Cheng Wang, Jintang Xue, Chengwei Wei, C.-C. Jay Kuo:
An Overview on Generative AI at Scale with Edge-Cloud Computing. CoRR abs/2306.17170 (2023) - [i1]Jintang Xue, Yun-Cheng Wang, Chengwei Wei, Xiaofeng Liu, Jonghye Woo, C.-C. Jay Kuo:
Bias and Fairness in Chatbots: An Overview. CoRR abs/2309.08836 (2023)
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