| Understanding important hotel attributes from the consumer perspective over time S Jang, T Liu, JH Kang, H Yang Australasian Marketing Journal 26 (1), 23-30, 2018 | 61 | 2018 |
| Improving HPC system performance by predicting job resources via supervised machine learning M Tanash, B Dunn, D Andresen, W Hsu, H Yang, A Okanlawon Proceedings of the Practice and Experience in Advanced Research Computing on …, 2019 | 51 | 2019 |
| Pipelines for procedural information extraction from scientific literature: towards recipes using machine learning and data science H Yang, CA Aguirre, F Maria, D Christensen, L Bobadilla, E Davich, ... 2019 International conference on document analysis and recognition workshops …, 2019 | 15 | 2019 |
| Vision-based layout detection from scientific literature using recurrent convolutional neural networks H Yang, WH Hsu 2020 25th international conference on pattern recognition (ICPR), 6455-6462, 2021 | 14 | 2021 |
| Machine learning for predictive analytics of compute cluster jobs D Andresen, W Hsu, H Yang, A Okanlawon Proceedings of the International Conference on Scientific Computing (CSC), 2018 | 14 | 2018 |
| Transformer-based approach for document layout understanding H Yang, W Hsu 2022 IEEE International Conference on Image Processing (ICIP), 4043-4047, 2022 | 10 | 2022 |
| Ensemble prediction of job resources to improve system performance for slurm-based hpc systems M Tanash, H Yang, D Andresen, W Hsu Practice and experience in advanced research computing, 1-8, 2021 | 10 | 2021 |
| Named Entity Recognition from Synthesis Procedural Text in Materials Science Domain with Attention-Based Approach. H Yang, WH Hsu SDU@ AAAI, 2021 | 9 | 2021 |
| Machine learning for predictive analytics of compute cluster jobs A Dan, H William, Y Huichen, O Adedolapo Proceedings of the International Conference on Scientific Computing (CSC), 40-46, 2018 | 7 | 2018 |
| HPCGCN: a predictive framework on high performance computing cluster log data using graph convolutional networks A Bose, H Yang, WH Hsu, D Andresen 2021 IEEE International Conference on Big Data (Big Data), 4113-4118, 2021 | 4 | 2021 |
| Feature selection for learning to predict outcomes of compute cluster jobs with application to decision support A Okanlawon, H Yang, A Bose, W Hsu, D Andresen, M Tanash 2020 International Conference on Computational Science and Computational …, 2020 | 4 | 2020 |
| Piekm: Ml-based procedural information extraction and knowledge management system for materials science literature H Yang, C Aguirre, W Hsu Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the …, 2022 | 3 | 2022 |
| KDDIE at SemEval-2022 Task 11: Using DeBERTa for Named Entity Recognition C Martin, H Yang, W Hsu Proceedings of the 16th International Workshop on Semantic Evaluation …, 2022 | 3 | 2022 |
| Automatic metadata information extraction from scientific literature using deep neural networks H Yang, W Hsu Fourteenth International Conference on Machine Vision (ICMV 2021) 12084, 315 …, 2022 | 3 | 2022 |
| KDDIE at SemEval-2023 Task 2: External Knowledge Injection for Named Entity Recognition C Martin, H Yang, W Hsu Proceedings of the 17th International Workshop on Semantic Evaluation …, 2023 | 1 | 2023 |
| Deep learning models to map an agricultural expansion area with MODIS and Sentinel-2 time series images D Luo, MM Caldas, H Yang Journal of Applied Remote Sensing 16 (4), 046508-046508, 2022 | 1 | 2022 |
| How Do Consumers Evaluate Identical Products at Different Retailers? A Text Mining Approach Using Product Reviews S Jang, J Hye Kang, T Liu, H Yang Australasian Marketing Journal, 14413582241233610, 2024 | | 2024 |
| Context-Augmented Key Phrase Extraction from Short Texts for Cyber Threat Intelligence Tasks A Bose, H Yang, M Shivers, A Orazgeldiyev, WH Hsu 2023 IEEE International Conference on Intelligence and Security Informatics …, 2023 | | 2023 |
| Deep integrative information extraction from scientific literature H Yang Kansas State University, 2022 | | 2022 |
| What Aspects Drive the Success of a Low-Fit Extension Retailer? A Structural Topic Modeling Approach Using Product Reviews: An Abstract S Jang, JH Kang, T Liu, H Yang Academy of Marketing Science Annual Conference, 251-252, 2020 | | 2020 |
William H. HsuProfessor of Computer Science, Kansas State UniversityBestätigte E-Mail-Adresse bei ksu.edu
