Yuyang Wang

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 12

Top Topics

Statistical Language Modeling

Supervised Learning

Shape From Texture

Top Venues

Mach. Learn. Sci. Technol.

J. Comput. Des. Eng.

Nat. Mach. Intell.

Publications

Yuyang Wang, Kenji Shimada, Amir Barati Farimani
Airfoil GAN: encoding and synthesizing airfoils for aerodynamic shape optimization. J. Comput. Des. Eng. 10 (4) (2023)
Zhonglin Cao, Yuyang Wang, Cooper Lorsung, Amir Barati Farimani
Neural Network Predicts Ion Concentration Profiles under Nanoconfinement. CoRR (2023)
Yuyang Wang, Changwen Xu, Zijie Li, Amir Barati Farimani
Denoise Pre-training on Non-equilibrium Molecules for Accurate and Transferable Neural Potentials. CoRR (2023)
Yuyang Wang, Zijie Li, Amir Barati Farimani
Graph Neural Networks for Molecules. CoRR (2022)
Rishikesh Magar, Yuyang Wang, Cooper Lorsung, Chen Liang, Hariharan Ramasubramanian, Peiyuan Li, Amir Barati Farimani
AugLiChem: data augmentation library of chemical structures for machine learning. Mach. Learn. Sci. Technol. 3 (4) (2022)
Changwen Xu, Yuyang Wang, Amir Barati Farimani
TransPolymer: a Transformer-based Language Model for Polymer Property Predictions. CoRR (2022)
Rishikesh Magar, Yuyang Wang, Amir Barati Farimani
Crystal Twins: Self-supervised Learning for Crystalline Material Property Prediction. CoRR (2022)
Yuyang Wang, Rishikesh Magar, Chen Liang, Amir Barati Farimani
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast. J. Chem. Inf. Model. 62 (11) (2022)
Zhonglin Cao, Rishikesh Magar, Yuyang Wang, Amir Barati Farimani
MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction. CoRR (2022)
Yue Jian, Yuyang Wang, Amir Barati Farimani
Absorption in Ionic Liquids with Molecular Descriptors and Explainable Graph Neural Networks. CoRR (2022)
Yuyang Wang, Jianren Wang, Zhonglin Cao, Amir Barati Farimani
Molecular contrastive learning of representations via graph neural networks. Nat. Mach. Intell. 4 (3) (2022)
Junwoong Yoon, Zhonglin Cao, Rajesh K. Raju, Yuyang Wang, Robert Burnley, Andrew J. Gellman, Amir Barati Farimani, Zachary W. Ulissi
Deep reinforcement learning for predicting kinetic pathways to surface reconstruction in a ternary alloy. Mach. Learn. Sci. Technol. 2 (4) (2021)