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Jing Xie

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An Augmentation Strategy for Visually Rich Documents

Dec 22, 2022
Jing Xie, James B. Wendt, Yichao Zhou, Seth Ebner, Sandeep Tata

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Radically Lower Data-Labeling Costs for Visually Rich Document Extraction Models

Oct 28, 2022
Yichao Zhou, James B. Wendt, Navneet Potti, Jing Xie, Sandeep Tata

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Towards lifelong learning of Recurrent Neural Networks for control design

Aug 08, 2022
Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini

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An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models

Mar 30, 2022
Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini

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Data-Efficient Information Extraction from Form-Like Documents

Jan 07, 2022
Beliz Gunel, Navneet Potti, Sandeep Tata, James B. Wendt, Marc Najork, Jing Xie

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On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments

Nov 26, 2021
Fabio Bonassi, Marcello Farina, Jing Xie, Riccardo Scattolini

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PPKE: Knowledge Representation Learning by Path-based Pre-training

Dec 07, 2020
Bin He, Di Zhou, Jing Xie, Jinghui Xiao, Xin Jiang, Qun Liu

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Active Learning for Skewed Data Sets

May 23, 2020
Abbas Kazerouni, Qi Zhao, Jing Xie, Sandeep Tata, Marc Najork

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Medical Knowledge Embedding Based on Recursive Neural Network for Multi-Disease Diagnosis

Sep 22, 2018
Jingchi Jiang, Huanzheng Wang, Jing Xie, Xitong Guo, Yi Guan, Qiubin Yu

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