Procedural Game Map Generation using Multi-leveled Cellular Automata by Machine learning. - Zhixuan Wu; Yuwei Mao; Qiyu Li (ISAIMS, 2021)

To Shuffle or Not To Shuffle: Mini-Batch Shuffling Strategies for Multi-class Imbalanced Classification. - Yuwei Mao; Vishu Gupta; Kewei Wang 002; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (CSCI, 2022)

Physics-based Data-Augmented Deep Learning for Enhanced Autogenous Shrinkage Prediction on Experimental Dataset. - Vishu Gupta; Yuhui Lyu; Derick Suarez; Yuwei Mao; Wei-Keng Liao; Alok N. Choudhary; Wing Kam Liu; Gianluca Cusatis; Ankit Agrawal 001 (IC3, 2023)

A Deep Learning Framework for Time-Series Processing-Microstructure-Property Prediction. - Yuwei Mao; Mahmudul Hasan 016; Claire Songhyun Lee; Muhammed Nur Talha Kilic; Vishu Gupta; Wei-Keng Liao; Alok N. Choudhary; Pinar Acar; Ankit Agrawal 001 (ICMLA, 2023)

AI for Learning Deformation Behavior of a Material: Predicting Stress-Strain Curves 4000x Faster Than Simulations. - Yuwei Mao; Shahriyar Keshavarz; Vishu Gupta; Andrew C. E. Reid; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (IJCNN, 2023)

A deep learning framework for layer-wise porosity prediction in metal powder bed fusion using thermal signatures. - Yuwei Mao; Hui Lin; Christina Xuan Yu; Roger Frye; Darren Beckett; Kevin Anderson; Lars Jacquemetton; Fred Carter; Zhangyuan Gao; Wei-keng Liao; Alok N. Choudhary; Kornel F. Ehmann; et al. (J. Intell. Manuf., 2023)

MPpredictor: An Artificial Intelligence-Driven Web Tool for Composition-Based Material Property Prediction. - Vishu Gupta; Kamal Choudhary; Yuwei Mao; Kewei Wang 002; Francesca Tavazza; Carelyn Campbell; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (J. Chem. Inf. Model., 2023)

Enhancing Deep Neural Network Classification Performance Through Novel Weight Initialization: t-SNE Supported Walsh Matrix Approach. - Muhammed Nur Talha Kilic; Vishu Gupta; Yuwei Mao; Kewei Wang 002; Alec Peltekian; Alok N. Choudhary; Wei-keng Liao; Ankit Agrawal 001 (ICMLA, 2024)

Tackling the Nonlinearity Problem in Inverse Modeling: Mixture Density Network-Backed Quantized AutoEncoder. - Muhammed Nur Talha Kilic; Yuwei Mao; Vishu Gupta; Alok N. Choudhary; Wei-keng Liao; Ankit Agrawal 001 (ICMLA, 2024)

Deep Learning Based Inverse Modeling for Materials Design: From Microstructure and Property to Processing. - Kewei Wang 002; Yuwei Mao; Mahmudul Hasan 016; Md Maruf Billah; Muhammed Nur Talha Kilic; Vishu Gupta; Wei-Keng Liao; Alok N. Choudhary; Pinar Acar; Ankit Agrawal 001 (ICMLA, 2024)