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Chia-Jung Hsu
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2020 – today
- 2023
- [i2]Duo Xu, Jonathan C. Tan, Chia-Jung Hsu, Ye Zhu:
Denoising Diffusion Probabilistic Models to Predict the Density of Molecular Clouds. CoRR abs/2304.01670 (2023) - 2022
- [c8]Kuan-Wei Huang, Geoff Chih-Fan Chen, Po-Wen Chang, Sheng-Chieh Lin, Chia-Jung Hsu, Vishal Thengane, Joshua Yao-Yu Lin:
Strong Gravitational Lensing Parameter Estimation with Vision Transformer. ECCV Workshops (1) 2022: 143-153 - [i1]Kuan-Wei Huang, Geoff Chih-Fan Chen, Po-Wen Chang, Sheng-Chieh Lin, Chia-Jung Hsu, Vishal Thengane, Joshua Yao-Yu Lin:
Strong Gravitational Lensing Parameter Estimation with Vision Transformer. CoRR abs/2210.04143 (2022) - 2020
- [c7]Shu-Cheng Yang, Chia-Jung Hsu, Yu-Wei Wu:
The Impact of Mobile Advertising Content and Advertising Value on User Loyalty: Taking LINE Official Account as an Example. MISNC/IEMT 2020: 12:1-12:9
2010 – 2019
- 2019
- [c6]Shu-Chen Yang, Rui-Min Chang, Chia-Jung Hsu:
Post-purchase Dissonance of Mobile Games Consumer. MISNC 2019: 93-105 - 2015
- [c5]Chia-Jung Hsu, Jia-Lin Chen, Liang-Gee Chen:
An efficient hardware implementation of HON4D feature extraction for real-time action recognition. ISCE 2015: 1-2
2000 – 2009
- 2008
- [c4]Yi-Ying Tsai, Chia-Jung Hsu, Chung-Ho Chen:
Address compression for scalable load/store queue implementation. ISCAS 2008: 1680-1683 - [c3]Chih-Chi Cheng, Chia-Hua Lin, Chung-Te Li, Samuel C. Chang, Chia-Jung Hsu, Liang-Gee Chen:
iVisual: An Intelligent Visual Sensor SoC with 2790fps CMOS Image Sensor and 205GOPS/W Vision Processor. ISSCC 2008: 306-307 - [c2]Yi-Ying Tsai, Chia-Jung Hsu, Chung-Ho Chen:
Power-efficient and scalable load/store queue design via address compression. SAC 2008: 1523-1527 - 2005
- [c1]Chia-Jung Hsu, Chia-Lien Lu, Wen-Chih Chen, Polun Chang:
Application of Graphical Relational Representation Techniques in Healthcare Website: Taking SARS Website Information Query and Representaion as an Example. AMIA 2005 - 2004
- [j1]Zan Huang, Hsinchun Chen, Chia-Jung Hsu, Wun-Hwa Chen, Soushan Wu:
Credit rating analysis with support vector machines and neural networks: a market comparative study. Decis. Support Syst. 37(4): 543-558 (2004)
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