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Training self-supervised peptide sequence models on artificially chopped proteins


Nov 09, 2022
Gil Sadeh, Zichen Wang, Jasleen Grewal, Huzefa Rangwala, Layne Price


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Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information


Sep 30, 2022
Yulun Wu, Robert A. Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C. Price, Luis F. Voloch, George Karypis


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Variational Causal Inference


Sep 13, 2022
Yulun Wu, Layne C. Price, Zichen Wang, Vassilis N. Ioannidis, George Karypis


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Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications


Feb 17, 2022
Kexin Ding, Mu Zhou, Zichen Wang, Qiao Liu, Corey W. Arnold, Shaoting Zhang, Dimitri N. Metaxas


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Semi-supervised Learning using Adversarial Training with Good and Bad Samples


Oct 18, 2019
Wenyuan Li, Zichen Wang, Yuguang Yue, Jiayun Li, William Speier, Mingyuan Zhou, Corey W. Arnold


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Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach


May 17, 2019
Wenyuan Li, Zichen Wang, Jiayun Li, Jennifer Polson, William Speier, Corey Arnold

* This paper appears at CVPR 2019 Weakly Supervised Learning for Real-World Computer Vision Applications (LID) Workshop 

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