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Huichen Yang
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2020 – today
- 2023
- [c12]Avishek Bose, Huichen Yang, Marissa Shivers, Ahat Orazgeldiyev, William H. Hsu:
Context-Augmented Key Phrase Extraction from Short Texts for Cyber Threat Intelligence Tasks. ISI 2023: 1-6 - [c11]Caleb Martin, Huichen Yang, William H. Hsu:
KDDIE at SemEval-2023 Task 2: External Knowledge Injection for Named Entity Recognition. SemEval@ACL 2023: 1498-1501 - 2022
- [j1]Reza Taherdangkoo
, Miaomiao Tian, Ali Sadighi
, Tao Meng, Huichen Yang, Christoph Butscher
:
Experimental Data on Solubility of the Two Calcium Sulfates Gypsum and Anhydrite in Aqueous Solutions. Data 7(10): 140 (2022) - [c10]Huichen Yang, William H. Hsu:
Transformer-Based Approach for Document Layout Understanding. ICIP 2022: 4043-4047 - [c9]Huichen Yang:
PIEKM: ML-based Procedural Information Extraction and Knowledge Management System for Materials Science Literature. AACL/IJCNLP (System Demonstrations) 2022: 57-62 - [c8]Caleb Martin, Huichen Yang, William H. Hsu:
KDDIE at SemEval-2022 Task 11: Using DeBERTa for Named Entity Recognition. SemEval@NAACL 2022: 1531-1535 - 2021
- [c7]Huichen Yang, William H. Hsu:
Named Entity Recognition from Synthesis Procedural Text in Materials Science Domain with Attention-Based Approach. SDU@AAAI 2021 - [c6]Avishek Bose, Huichen Yang, William H. Hsu, Daniel Andresen:
HPCGCN: A Predictive Framework on High Performance Computing Cluster Log Data Using Graph Convolutional Networks. IEEE BigData 2021: 4113-4118 - [c5]Huichen Yang, William H. Hsu:
Automatic metadata information extraction from scientific literature using deep neural networks. ICMV 2021: 1208414 - [c4]Mohammed Tanash
, Huichen Yang, Daniel Andresen, William H. Hsu:
Ensemble Prediction of Job Resources to Improve System Performance for Slurm-Based HPC Systems. PEARC 2021: 21:1-21:8 - 2020
- [c3]Huichen Yang, William H. Hsu:
Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks. ICPR 2020: 6455-6462 - [i4]Huichen Yang, William H. Hsu:
Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks. CoRR abs/2010.11727 (2020) - [i3]Adedolapo Okanlawon, Huichen Yang, Avishek Bose, William H. Hsu, Dan Andresen, Mohammed Tanash:
Feature Selection for Learning to Predict Outcomes of Compute Cluster Jobs with Application to Decision Support. CoRR abs/2012.07982 (2020)
2010 – 2019
- 2019
- [c2]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, Yihong Theis:
Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science. OST@ICDAR 2019: 41-46 - [c1]Mohammed Tanash
, Brandon Dunn, Daniel Andresen, William H. Hsu, Huichen Yang, Adedolapo Okanlawon:
Improving HPC System Performance by Predicting Job Resources via Supervised Machine Learning. PEARC 2019: 69:1-69:8 - [i2]Huichen Yang, Carlos A. Aguirre, Maria F. De La Torre, Derek Christensen, Luis Bobadilla, Emily Davich, Jordan Roth, Lei Luo, Yihong Theis, Alice Lam, Thomas Yong-Jin Han, David Buttler, William H. Hsu:
Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science. CoRR abs/1912.07747 (2019) - 2018
- [i1]Dan Andresen, William H. Hsu, Huichen Yang, Adedolapo Okanlawon:
Machine Learning for Predictive Analytics of Compute Cluster Jobs. CoRR abs/1806.01116 (2018)
Coauthor Index
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