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A Generative Adversarial Network-based Selective Ensemble Characteristic-to-Expression Synthesis (SE-CTES) Approach and Its Applications in Healthcare


May 29, 2022
Yuxuan Li, Ying Lin, Chenang Liu


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Adaptive perturbation adversarial training: based on reinforcement learning


Aug 30, 2021
Zhishen Nie, Ying Lin, Sp Ren, Lan Zhang


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Personalized Entity Resolution with Dynamic Heterogeneous Knowledge Graph Representations


Apr 14, 2021
Ying Lin, Han Wang, Jiangning Chen, Tong Wang, Yue Liu, Heng Ji, Yang Liu, Premkumar Natarajan


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COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation


Jul 06, 2020
Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare Voss, Cynthia Schneider, Boyan Onyshkevych

* 11 pages, submitted to ACL 2020 Workshop on Natural Language Processing for COVID-19 (NLP-COVID), for resources see http://blender.cs.illinois.edu/covid19/ 

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A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages


Apr 10, 2019
Ronald Cardenas, Ying Lin, Heng Ji, Jonathan May

* NAACL-HLT 2019, 12 pages, code available at https://github.com/isi-nlp/universal-cipher-pos-tagging 

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Acquiring Background Knowledge to Improve Moral Value Prediction


Sep 16, 2017
Ying Lin, Joe Hoover, Morteza Dehghani, Marlon Mooijman, Heng Ji

* 8 pages, 4 figures 

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