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Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates

Jul 03, 2021
Zhuohang Li, Luyang Liu, Jiaxin Zhang, Jian Liu

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Inverse design of two-dimensional materials with invertible neural networks

Jun 06, 2021
Victor Fung, Jiaxin Zhang, Guoxiang Hu, P. Ganesh, Bobby G. Sumpter

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Deep Online Correction for Monocular Visual Odometry

Mar 18, 2021
Jiaxin Zhang, Wei Sui, Xinggang Wang, Wenming Meng, Hongmei Zhu, Qian Zhang

* Accepted at 2021 IEEE International Conference on Robotics and Automation (ICRA) 

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A Hybrid Gradient Method to Designing Bayesian Experiments for Implicit Models

Mar 14, 2021
Jiaxin Zhang, Sirui Bi, Guannan Zhang

* This short paper has been accepted by NeurIPS 2020 Workshop on Machine Learning and the Physical Sciences. arXiv admin note: substantial text overlap with arXiv:2103.08026 

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A Scalable Gradient-Free Method for Bayesian Experimental Design with Implicit Models

Mar 14, 2021
Jiaxin Zhang, Sirui Bi, Guannan Zhang

* This paper has been accepted by the 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021) 

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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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