Machine Learning for Predictive Analytics of Compute Cluster Jobs. - Dan Andresen; William H. Hsu; Huichen Yang; Adedolapo Okanlawon (CoRR, 2018)

Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science. - Huichen Yang; Alice Lam; Thomas Yong-Jin Han; David Buttler; William H. Hsu; Carlos A. Aguirre; Maria F. De La Torre; Derek Christensen; Luis Bobadilla; Emily Davich; Jordan Roth; Lei Luo 007; et al. (OST@ICDAR, 2019)

Improving HPC System Performance by Predicting Job Resources via Supervised Machine Learning. - Mohammed Tanash; Brandon Dunn; Daniel Andresen; William H. Hsu; Huichen Yang; Adedolapo Okanlawon (PEARC, 2019)

Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks. - Huichen Yang; William H. Hsu (ICPR, 2020)

Feature Selection for Learning to Predict Outcomes of Compute Cluster Jobs with Application to Decision Support. - Adedolapo Okanlawon; Huichen Yang; Avishek Bose; William H. Hsu; Dan Andresen; Mohammed Tanash (CoRR, 2020)

Named Entity Recognition from Synthesis Procedural Text in Materials Science Domain with Attention-Based Approach. - Huichen Yang; William H. Hsu (SDU@AAAI, 2021)

HPCGCN: A Predictive Framework on High Performance Computing Cluster Log Data Using Graph Convolutional Networks. - Avishek Bose; Huichen Yang; William H. Hsu; Daniel Andresen (IEEE BigData, 2021)

Automatic metadata information extraction from scientific literature using deep neural networks. - Huichen Yang; William H. Hsu (ICMV, 2021)

Ensemble Prediction of Job Resources to Improve System Performance for Slurm-Based HPC Systems. - Mohammed Tanash; Huichen Yang; Daniel Andresen; William H. Hsu (PEARC, 2021)

Transformer-Based Approach for Document Layout Understanding. - Huichen Yang; William H. Hsu (ICIP, 2022)

PIEKM: ML-based Procedural Information Extraction and Knowledge Management System for Materials Science Literature. - Huichen Yang (AACL/IJCNLP (System Demonstrations), 2022)

KDDIE at SemEval-2022 Task 11: Using DeBERTa for Named Entity Recognition. - Caleb Martin; Huichen Yang; William H. Hsu (SemEval@NAACL, 2022)

Experimental Data on Solubility of the Two Calcium Sulfates Gypsum and Anhydrite in Aqueous Solutions. - Reza Taherdangkoo; Miaomiao Tian; Ali Sadighi; Tao Meng; Huichen Yang; Christoph Butscher (Data, 2022)

Context-Augmented Key Phrase Extraction from Short Texts for Cyber Threat Intelligence Tasks. - Avishek Bose; Huichen Yang; Marissa Shivers; Ahat Orazgeldiyev; William H. Hsu (ISI, 2023)

KDDIE at SemEval-2023 Task 2: External Knowledge Injection for Named Entity Recognition. - Caleb Martin; Huichen Yang; William H. Hsu (SemEval@ACL, 2023)

Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration. - Chao Wang 102; Hehe Fan; Huichen Yang; Sarvnaz Karimi; Lina Yao 001; Yi Yang 001 (CVPR, 2025)