Huichen Yang

22 papers A* 1A 1B 2C 2Journal 7Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
To Believe or Not To Believe: Comparing Supporting Information Tools to Aid Human Judgments of AI Veracity.
CoRR
Jessica Irons, Patrick S. Cooper, Necva Bölücü, Roelien C. Timmer, Huichen Yang, Changhyun Lee, Brian Jin, Andreas Duenser, Stephen Wan
2026 J jnl
Using a Human-AI Teaming Approach to Create and Curate Scientific Datasets with the SCILIRE System.
CoRR
Necva Bölücü, Jessica Irons, Changhyun Lee, Brian Jin, Maciej Rybinski, Huichen Yang, Andreas Duenser, Stephen Wan
2026 — conf
Using a Human-AI Teaming Approach to Create and Curate Scientific Datasets with the SciLire System.
EACL (System Demonstrations)
Necva Bölücü, Jessica Irons, Changhyun Lee, Brian Jin, Maciej Rybinski, Huichen Yang, Andreas Duenser, Stephen Wan
2025 A* conf
Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration.
CVPR
Chao Wang, Hehe Fan, Huichen Yang, Sarvnaz Karimi, Lina Yao, Yi Yang
2025 A conf
PEQQS: a Dataset for Probing Extractive Quantity-focused Question Answering from Scientific Literature.
CIKM
Maciej Rybinski, Necva Bölücü, Huichen Yang, Stephen Wan
2023 C conf
Context-Augmented Key Phrase Extraction from Short Texts for Cyber Threat Intelligence Tasks.
ISI
Avishek Bose, Huichen Yang, Marissa Shivers, Ahat Orazgeldiyev, William H. Hsu
2023 — conf
KDDIE at SemEval-2023 Task 2: External Knowledge Injection for Named Entity Recognition.
SemEval@ACL
Caleb Martin, Huichen Yang, William H. Hsu
2022 J jnl
Experimental Data on Solubility of the Two Calcium Sulfates Gypsum and Anhydrite in Aqueous Solutions.
Data
Reza Taherdangkoo, Miaomiao Tian, Ali Sadighi, Tao Meng, Huichen Yang, Christoph Butscher
2022 — conf
KDDIE at SemEval-2022 Task 11: Using DeBERTa for Named Entity Recognition.
SemEval@NAACL
Caleb Martin, Huichen Yang, William H. Hsu
2022 — conf
PIEKM: ML-based Procedural Information Extraction and Knowledge Management System for Materials Science Literature.
AACL/IJCNLP (System Demonstrations)
Huichen Yang
2022 B conf
Transformer-Based Approach for Document Layout Understanding.
ICIP
Huichen Yang, William H. Hsu
2021 C conf
Automatic metadata information extraction from scientific literature using deep neural networks.
ICMV
Huichen Yang, William H. Hsu
2021 — conf
Ensemble Prediction of Job Resources to Improve System Performance for Slurm-Based HPC Systems.
PEARC
Mohammed Tanash, Huichen Yang, Daniel Andresen, William H. Hsu
2021 — conf
HPCGCN: A Predictive Framework on High Performance Computing Cluster Log Data Using Graph Convolutional Networks.
IEEE BigData
Avishek Bose, Huichen Yang, William H. Hsu, Daniel Andresen
2021 — conf
Named Entity Recognition from Synthesis Procedural Text in Materials Science Domain with Attention-Based Approach.
SDU@AAAI
Huichen Yang, William H. Hsu
2020 J jnl
Feature Selection for Learning to Predict Outcomes of Compute Cluster Jobs with Application to Decision Support.
CoRR
Adedolapo Okanlawon, Huichen Yang, Avishek Bose, William H. Hsu, Dan Andresen, Mohammed Tanash
2020 B conf
Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks.
ICPR
Huichen Yang, William H. Hsu
2020 J jnl
Vision-Based Layout Detection from Scientific Literature using Recurrent Convolutional Neural Networks.
CoRR
Huichen Yang, William H. Hsu
2019 — conf
Improving HPC System Performance by Predicting Job Resources via Supervised Machine Learning.
PEARC
Mohammed Tanash, Brandon Dunn, Daniel Andresen, William H. Hsu, Huichen Yang, Adedolapo Okanlawon
2019 — conf
Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science.
OST@ICDAR
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
2019 J jnl
Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science.
CoRR
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
2018 J jnl
Machine Learning for Predictive Analytics of Compute Cluster Jobs.
CoRR
Dan Andresen, William H. Hsu, Huichen Yang, Adedolapo Okanlawon