A Real-Time Iterative Machine Learning Approach for Temperature Profile Prediction in Additive Manufacturing Processes. - Arindam Paul; Mojtaba Mozaffar; Zijiang Yang 008; Wei-keng Liao; Alok N. Choudhary; Jian Cao; Ankit Agrawal 001 (DSAA, 2019)

Data-Driven Insights from Predictive Analytics on Heterogeneous Experimental Data of Industrial Magnetic Materials. - Zijiang Yang 008; Tetsushi Watari; Daisuke Ichigozaki; Kei Morohoshi; Yoshinori Suga; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (ICDM Workshops, 2019)

Deep learning based domain knowledge integration for small datasets: Illustrative applications in materials informatics. - Zijiang Yang 008; Reda Al-Bahrani; Andrew C. E. Reid; Stefanos Papanikolaou; Surya R. Kalidindi; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (IJCNN, 2019)

IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery. - Dipendra Jha; Logan T. Ward; Zijiang Yang 008; Christopher Wolverton; Ian T. Foster; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (KDD, 2019)

Heterogeneous Feature Fusion Based Machine Learning on Shallow-Wide and Heterogeneous-Sparse Industrial Datasets. - Zijiang Yang 008; Tetsushi Watari; Daisuke Ichigozaki; Akita Mitsutoshi; Hiroaki Takahashi; Yoshinori Suga; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (ICPR Workshops (4), 2020)

SIGRNN: Synthetic Minority Instances Generation in Imbalanced Datasets using a Recurrent Neural Network. - Reda Al-Bahrani; Dipendra Jha; Qiao Kang; Sunwoo Lee 001; Zijiang Yang 008; Wei-Keng Liao; Ankit Agrawal 001; Alok N. Choudhary (ICPRAM, 2021)

A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials Design. - Zijiang Yang 008; Dipendra Jha; Arindam Paul; Wei-keng Liao; Alok N. Choudhary; Ankit Agrawal 001 (CoRR, 2021)