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Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution


Jan 24, 2021
Jiapeng Wang, Chongyu Liu, Lianwen Jin, Guozhi Tang, Jiaxin Zhang, Shuaitao Zhang, Qianying Wang, Yaqiang Wu, Mingxiang Cai

* 8 pages, 5 figures, to be published in AAAI 2021 

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Scalable Deep-Learning-Accelerated Topology Optimization for Additively Manufactured Materials


Nov 28, 2020
Sirui Bi, Jiaxin Zhang, Guannan Zhang

* NeurIPS 2020 Workshop on Machine Learning for Engineering Modeling, Simulation and Design 

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Thermodynamic Consistent Neural Networks for Learning Material Interfacial Mechanics


Nov 28, 2020
Jiaxin Zhang, Congjie Wei, Chenglin Wu

* NeurIPS 2020 workshop on Interpretable Inductive Biases and Physically Structured Learning 

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A Scalable Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization


Feb 07, 2020
Jiaxin Zhang, Hoang Tran, Dan Lu, Guannan Zhang


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Robust data-driven approach for predicting the configurational energy of high entropy alloys


Aug 10, 2019
Jiaxin Zhang, Xianglin Liu, Sirui Bi, Junqi Yin, Guannan Zhang, Markus Eisenbach

* 28 pages, 14 figures 

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PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence


Mar 21, 2018
Jinglan Liu, Jiaxin Zhang, Yukun Ding, Xiaowei Xu, Meng Jiang, Yiyu Shi

* 17 pages, paper re-organized; 

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Power-Law Graph Cuts


Nov 25, 2014
Xiangyang Zhou, Jiaxin Zhang, Brian Kulis


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