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David Liang
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2020 – today
- 2023
- [j2]David Liang, Ziji Zhang
, Miriam Rafailovich, Marcia Simon, Yuefan Deng
, Peng Zhang
:
Coarse-Grained Modeling of the SARS-CoV-2 Spike Glycoprotein by Physics-Informed Machine Learning. Comput. 11(2): 24 (2023) - [c7]Samuel Dahan
, Rohan Bhambhoria
, David Liang, Xiaodan Zhu
:
OpenJustice.ai: A Global Open-Source Legal Language Model. JURIX 2023: 387-390 - [c6]Daniel Liang, David Liang, Alice Wei, Licheng Ryan Kuo, Shaojie Chang, Marc Jason Pomeroy, Yongfeng Gao:
An investigation on energy spectral information of computed tomography for machine learning in lesion classification. Medical Imaging: Computer-Aided Diagnosis 2023 - 2022
- [j1]Jae Kyu Lee, James J. Jiang, Patrick Y. K. Chau, Brian Fitzgerald, Atreyi Kankanhalli, Matthew L. Nelson, Wei (Wayne) Huang, Kwok Kee Wei, Choon-Ling Sia, Doug Vogel, Michael D. Myers, Guy G. Gable, Kathy Ning Shen, Chih-Ping Wei, Shin-Yuan Hung, Keng Leng Siau, David Liang:
Journey with Ting-Peng Liang in Pacific Asia Information Systems Field. Pac. Asia J. Assoc. Inf. Syst. 14(1): 2 (2022) - [c5]Mustafa Karkour, David Liang, Amir AlAghbar, Rassim Melaab, Iyad Abu Doush:
Mobile Application for Augmented Shopping: Virtual Shoe Try-on and Virtual Equipment Placement. CHIuXiD 2022: 59-64 - 2021
- [c4]Jae Kyu Lee, Doug Vogel, David Liang, Chih-Ping Wei, Shin-Yuan Hung, Brian Fitzgerald, Matthew L. Nelson, Choon Ling Sia, Kwok-Kee Wei, Michael D. Myers, Keng Leng Siau, Kathy Ning Shen, James J. Jiang, Guy G. Gable:
PACIS TP Liang Tribute Session. PACIS 2021: 253 - [i1]Jonathan Zhang, Bowen Xie, Xin Wu, Rahul Ram, David Liang:
Classification of Diabetic Retinopathy Severity in Fundus Images with DenseNet121 and ResNet50. CoRR abs/2108.08473 (2021) - 2020
- [c3]Jason T. Lam, David Liang, Samuel Dahan, Farhana H. Zulkernine:
The Gap between Deep Learning and Law: Predicting Employment Notice. NLLP@KDD 2020: 52-56 - [c2]David Liang, David Wang, Alice Wei, Yeseul Choi, Shu Zhang, Marc Jason Pomeroy, Perry J. Pickhardt:
Performance investigation of deep learning vs. classifier for polyp differentiation via texture features. Medical Imaging: Computer-Aided Diagnosis 2020
2000 – 2009
- 2006
- [c1]Sen-Wen Hsiao, Yen-Chih Huang, David Liang, Hung-Wei Kevin Chen, Hsin-Shu Chen:
A 1.5-V 10-ppm/°C 2nd-order curvature-compensated CMOS bandgap reference with trimming. ISCAS 2006
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