Huichen Yang

According to our database1, Huichen Yang authored at least 15 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
KDDIE at SemEval-2023 Task 2: External Knowledge Injection for Named Entity Recognition.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Context-Augmented Key Phrase Extraction from Short Texts for Cyber Threat Intelligence Tasks.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2023

2022
Experimental Data on Solubility of the Two Calcium Sulfates Gypsum and Anhydrite in Aqueous Solutions.
Data, 2022

KDDIE at SemEval-2022 Task 11: Using DeBERTa for Named Entity Recognition.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

PIEKM: ML-based Procedural Information Extraction and Knowledge Management System for Materials Science Literature.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Transformer-Based Approach for Document Layout Understanding.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Ensemble Prediction of Job Resources to Improve System Performance for Slurm-Based HPC Systems.
Proceedings of the PEARC '21: Practice and Experience in Advanced Research Computing, 2021

Automatic metadata information extraction from scientific literature using deep neural networks.
Proceedings of the Fourteenth International Conference on Machine Vision, 2021

HPCGCN: A Predictive Framework on High Performance Computing Cluster Log Data Using Graph Convolutional Networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Named Entity Recognition from Synthesis Procedural Text in Materials Science Domain with Attention-Based Approach.
Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

2020
Feature Selection for Learning to Predict Outcomes of Compute Cluster Jobs with Application to Decision Support.
CoRR, 2020

Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Improving HPC System Performance by Predicting Job Resources via Supervised Machine Learning.
Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science.
Proceedings of the 2nd International Workshop on Open Services and Tools for Document Analysis, 2019

2018
Machine Learning for Predictive Analytics of Compute Cluster Jobs.
CoRR, 2018


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