Yong Zhao

According to our database, Yong Zhao authored at least 13 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

DeepSeqPanII: An Interpretable Recurrent Neural Network Model With Attention Mechanism for Peptide-HLA Class II Binding Prediction.

Zhonghao Liu, Jing Jin, Yuxin Cui, Zheng Xiong, Alireza Nasiri, Yong Zhao, Jianjun Hu

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Physics Guided Generative Adversarial Networks for Generations of Crystal Materials with Symmetry Constraints.

Yong Zhao, Edirisuriya M. Dilanga Siriwardane, Zhenyao Wu, Ming Hu, Nihang Fu, Jianjun Hu

CoRR, 2022

2021

Semi-supervised teacher-student deep neural network for materials discovery.

Daniel Gleaves, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Nihang Fu, Jianjun Hu

CoRR, 2021

Physics guided deep learning generative models for crystal materials discovery.

Yong Zhao, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu

CoRR, 2021

MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art.

Jianjun Hu, Stanislav Stefanov, Yuqi Song, Sadman Sadeed Omee, Steph-Yves M. Louis, Edirisuriya M. Dilanga Siriwardane, Yong Zhao

CoRR, 2021

Active learning based generative design for the discovery of wide bandgap materials.

Rui Xin, Edirisuriya M. Dilanga Siriwardane, Yuqi Song, Yong Zhao, Steph-Yves M. Louis, Alireza Nasiri, Jianjun Hu

CoRR, 2021

2020

Computational discovery of new 2D materials using deep learning generative models.

Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Jianjun Hu

CoRR, 2020

Predicting Elastic Properties of Materials from Electronic Charge Density Using 3D Deep Convolutional Neural Networks.

Yong Zhao, Kunpeng Yuan, Yinqiao Liu, Steph-Yves M. Louis, Ming Hu, Jianjun Hu

CoRR, 2020

Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction.

Steph-Yves M. Louis, Yong Zhao, Alireza Nasiri, Xiran Wong, Yuqi Song, Fei Liu, Jianjun Hu

CoRR, 2020

Machine Learning based prediction of noncentrosymmetric crystal materials.

Yuqi Song, Joseph Lindsay, Yong Zhao, Alireza Nasiri, Steph-Yves M. Louis, Jie Ling, Ming Hu, Jianjun Hu

CoRR, 2020

2019

Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks.

Sen Zhang, Yong Yao, Jie Hu, Yong Zhao, Shaobo Li, Jianjun Hu

Sensors, 2019

Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials.

Yabo Dan, Yong Zhao, Xiang Li, Shaobo Li, Ming Hu, Jianjun Hu

CoRR, 2019

AudioMask: Robust Sound Event Detection Using Mask R-CNN and Frame-Level Classifier.

Alireza Nasiri, Yuxin Cui, Zhonghao Liu, Jing Jin, Yong Zhao, Jianjun Hu

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019