Huichen Yang
Orcid: 0009-0002-9767-1021
According to our database1,
Huichen Yang authored at least 20 papers
between 2018 and 2026.
Collaborative distances:
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Bibliography
2026
To Believe or Not To Believe: Comparing Supporting Information Tools to Aid Human Judgments of AI Veracity.
CoRR, March, 2026
Using a Human-AI Teaming Approach to Create and Curate Scientific Datasets with the SciLire System.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026
2025
Proceedings of the 19th International Workshop on Semantic Evaluation, 2025
Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
PEQQS: a Dataset for Probing Extractive Quantity-focused Question Answering from Scientific Literature.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
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
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
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