Zhenguo Nie

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All published works

Action	Title	Year	Authors
+	IC classifier: a classifier for 3D industrial components based on geometric prior using GNN	2023	Zipeng Lin Zhenguo Nie
+	UNeR3D: Versatile and Scalable 3D RGB Point Cloud Generation from 2D Images in Unsupervised Reconstruction	2023	Hongbin Lin Juangui Xu Qingfeng Xu Zhengyu Hu Handing Xu Yunzhi Chen Yongjun Hu Zhenguo Nie
+ PDF Chat	Quantitative evaluation of precautions against the COVID-19 indoor transmission through human coughing	2022	Zhenguo Nie Yunzhi Chen Meifeng Deng
+ PDF Chat	SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Metal Forming Stress Field With Attention Mechanism And Perceptual Features	2021	Qingfeng Xu Zhenguo Nie Handing Xu Haosu Zhou Xin-Jun Liu
+ PDF Chat	A Study on Using Image-Based Machine Learning Methods to Develop Surrogate Models of Stamp Forming Simulations	2021	Haosu Zhou Qingfeng Xu Zhenguo Nie Nan Li
+ PDF Chat	StressGAN: A Generative Deep Learning Model for Two-Dimensional Stress Distribution Prediction	2021	Haoliang Jiang Zhenguo Nie Roselyn Yeo Amir Barati Farimani Levent Burak Kara
+ PDF Chat	TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain	2021	Zhenguo Nie Tong Lin Haoliang Jiang Levent Burak Kara
+	Artificial Intelligence Enhanced Rapid and Efficient Diagnosis of Mycoplasma Pneumoniae Pneumonia in Children Patients	2021	Chenglin Pan Kuan Yan Xiao Liu Yanjie Chen Yanyan Luo Xiaoming Li Zhenguo Nie Xinjun Liu
+	SuperMeshing: A Novel Method for Boosting the Mesh Density in Numerical Computation within 2D Domain	2021	Handing Xu Zhenguo Nie Qingfeng Xu Xinjun Liu
+	SuperMeshing: A New Deep Learning Architecture for Increasing the Mesh Density of Metal Forming Stress Field with Attention Mechanism and Perceptual Features	2021	Qingfeng Xu Zhenguo Nie Handing Xu Haosu Zhou Xin-Jun Liu
+ PDF Chat	StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction	2020	Haoliang Jiang Zhenguo Nie Roselyn Yeo Amir Barati Farimani Levent Burak Kara
+ PDF Chat	TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain	2020	Zhenguo Nie Tong Lin Haoliang Jiang Levent Burak Kara
+	TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain	2020	Zhenguo Nie Tong Lin Haoliang Jiang Levent Burak Kara
+ PDF Chat	Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks	2019	Zhenguo Nie Haoliang Jiang Levent Burak Kara
+ PDF Chat	Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks	2019	Zhenguo Nie Haoliang Jiang Levent Burak Kara
+	Deep Learning for Stress Field Prediction Using Convolutional Neural Networks.	2018	Zhenguo Nie Haoliang Jiang Levent Burak Kara

Common Coauthors

Coauthor	Papers Together
Haoliang Jiang	8
Levent Burak Kara	8
Qingfeng Xu	5
Handing Xu	4
Haosu Zhou	3
Xin-Jun Liu	2
Xinjun Liu	2
Amir Barati Farimani	2
Tong Lin	2
Roselyn Yeo	2
Chenglin Pan	1
Yunzhi Chen	1
Yunzhi Chen	1
Yanjie Chen	1
Xiao Liu	1
Hongbin Lin	1
Juangui Xu	1
Meifeng Deng	1
Zipeng Lin	1
Yanyan Luo	1
Kuan Yan	1
Zhengyu Hu	1
Yongjun Hu	1
Nan Li	1
Xiaoming Li	1
Tong Lin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	8
+ PDF Chat	Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks	2019	Zhenguo Nie Haoliang Jiang Levent Burak Kara	6
+ PDF Chat	Deep Generative Design: Integration of Topology Optimization and Generative Models	2019	Sangeun Oh Yongsu Jung Seongsin Kim Ikjin Lee Namwoo Kang	3
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	3
+ PDF Chat	Squeeze-and-Excitation Networks	2019	Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu	3
+ PDF Chat	Perceptual Losses for Real-Time Style Transfer and Super-Resolution	2016	Justin Johnson Alexandre Alahi Li Fei-Fei	3
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	3
+ PDF Chat	TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain	2020	Zhenguo Nie Tong Lin Haoliang Jiang Levent Burak Kara	3
+ PDF Chat	Neural networks for topology optimization	2019	Ivan Sosnovik Ivan Oseledets	3
+ PDF Chat	Deep learning for computational chemistry	2017	Garrett B. Goh Nathan O. Hodas Abhinav Vishnu	2
+ PDF Chat	Lightweight structure design under force location uncertainty	2017	Erva Ulu James McCann Levent Burak Kara	2
+	An optimal design problem with perimeter penalization	1993	Luigi Ambrosio Giuseppe Buttazzo	2
+	Deep Learning Phase Segregation	2018	Amir Barati Farimani Joseph Gomes Rishi Sharma Franklin L. Lee Vijay S. Pande	2
+ PDF Chat	A self-learning algorithm for biased molecular dynamics	2010	Gareth A. Tribello Michele Ceriotti Michele Parrinello	2
+	3D Topology Optimization using Convolutional Neural Networks	2018	Saurabh Banga Harsh Gehani Sanket Bhilare Sagar Patel Levent Burak Kara	2
+	A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks	2018	Arvind Mohan Datta V. Gaitonde	2
+ PDF Chat	Deep learning for determining a near-optimal topological design without any iteration	2018	Yonggyun Yu Taeil Hur Jaeho Jung In Gwun Jang	2
+ PDF Chat	Difference-based deep learning framework for stress predictions in heterogeneous media	2021	Haotian Feng Pavana Prabhakar	2
+ PDF Chat	Proportional Topology Optimization: A New Non-Sensitivity Method for Solving Stress Constrained and Minimum Compliance Problems and Its Implementation in MATLAB	2015	Emre Biyikli Albert C. To	2
+ PDF Chat	Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network	2016	Wenzhe Shi José Caballero Ferenc Huszár Johannes Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang	2
+ PDF Chat	Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network	2017	Christian Ledig Lucas Theis Ferenc Huszár José Caballero Andrew Cunningham Alejandro Acosta Andrew P. Aitken Alykhan Tejani Johannes Totz Zehan Wang	2
+	Deep Learning the Physics of Transport Phenomena	2017	Amir Barati Farimani Joseph Gomes Vijay S. Pande	2
+ PDF Chat	Squeeze-and-Excitation Networks	2018	Jie Hu Li Shen Gang Sun	2
+ PDF Chat	One-shot generation of near-optimal topology through theory-driven machine learning	2019	Ruijin Cang Houpu Yao Yi Ren	2
+	A Novel Topology Optimization Approach using Conditional Deep Learning	2019	Sharad Rawat M.-H. Herman Shen	2
+	3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders	2019	Wentai Zhang Zhangsihao Yang Haoliang Jiang Suyash Nigam Soji Yamakawa Tomotake Furuhata Kenji Shimada Levent Burak Kara	2
+ PDF Chat	Learning to Design From Humans: Imitating Human Designers Through Deep Learning	2019	Ayush Raina Christopher McComb Jonathan Cagan	2
+ PDF Chat	Image Super-Resolution Using Very Deep Residual Channel Attention Networks	2018	Yulun Zhang Kunpeng Li Kai Li Lichen Wang Bineng Zhong Yun Fu	1
+	Reconstruction of Simulation-Based Physical Field by Reconstruction Neural Network Method	2018	Yu Li Hu Wang Kangjia Mo Tao Zeng	1
+	Image-based reconstruction for the impact problems by using DPNNs	2019	Li Yu Hu Wang Wenquan Shuai Honghao Zhang Yong Peng	1
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Image Super-Resolution by Neural Texture Transfer	2019	Zhifei Zhang Zhaowen Wang Zhe Lin Hairong Qi	1
+	Image Super-Resolution Using Very Deep Residual Channel Attention Networks	2018	Yulun Zhang Kunpeng Li Kai Li Lichen Wang Bineng Zhong Yun Fu	1
+ PDF Chat	Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks	2019	Zhenguo Nie Haoliang Jiang Levent Burak Kara	1
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	1
+	Unsupervised Image-to-Image Translation Networks	2017	Ming-Yu Liu Thomas M. Breuel Jan Kautz	1
+ PDF Chat	Enhanced Deep Residual Networks for Single Image Super-Resolution	2017	Bee Lim Sanghyun Son Heewon Kim Seungjun Nah Kyoung Mu Lee	1
+	Striving for Simplicity: The All Convolutional Net	2014	Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller	1
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	1
+ PDF Chat	Enabling Dark Energy Science with Deep Generative Models of Galaxy Images	2017	Siamak Ravanbakhsh François Lanusse Rachel Mandelbaum Jeff Schneider Barnabás Póczos	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+ PDF Chat	MemNet: A Persistent Memory Network for Image Restoration	2017	Ying Tai Jian Yang Xiaoming Liu Chunyan Xu	1
+	U-net architectures for fast prediction of incompressible laminar flows	2019	Junfeng Chen Jonathan Viquerat Elie Hachem	1
+ PDF Chat	Deep Learning Methods for Reynolds-Averaged Navier–Stokes Simulations of Airfoil Flows	2019	Nils Thuerey Konstantin Weißenow Lukas Prantl Xiangyu Hu	1
+	Comparing recurrent and convolutional neural networks for predicting wave propagation	2020	Stathi Fotiadis Eduardo Pignatelli Mario Lino Valencia Chris D. Cantwell Amos Storkey Anil A. Bharath	1
+	Aerosol and Surface Stability of SARS-CoV-2 as Compared with SARS-CoV-1	2020	Neeltje van Doremalen Trenton Bushmaker Dylan H. Morris Myndi G. Holbrook Amandine Gamble Brandi N. Williamson Azaibi Tamin Jennifer L. Harcourt Natalie J. Thornburg Susan I. Gerber	1
+	Close contact behavior in indoor environment and transmission of respiratory infection	2020	Nan Zhang Wenzhao Chen Pak‐To Chan Hui‐Ling Yen Julian W. Tang Yuguo Li	1
+ PDF Chat	A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems	2020	Meng Tang Y. Liu Louis J. Durlofsky	1
+	Influence of wind and relative humidity on the social distancing effectiveness to prevent COVID-19 airborne transmission: A numerical study	2020	Yu Feng Thierry Marchal Ted Sperry Hang Yi	1
+	A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks	2020	Hao Ma Xiangyu Hu Yuxuan Zhang Nils Thuerey Oskar Haidn	1