‪Guanqun Yang‬ - ‪Google Scholar‬

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2019202020212022202320241 1 4 11 5

Co-authors

Susan Xueqing LiuStevens Institute of TechnologyVerified email at stevens.edu
Wei YangAssistant Professor, Department of Computer Science, University of Texas at DallasVerified email at utdallas.edu
Mirazul HaqueResearch Scientist, JP Morgan AI ResearchVerified email at jpmchase.com
Lingxiao WangToyota Technological Institute at ChicagoVerified email at ttic.edu

Guanqun Yang

Guanqun Yang

Ph.D. Candidate in Computer Science, Stevens Institute of Technology

Verified email at stevens.edu - Homepage

Machine Learning Natural Language Processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Few-sample named entity recognition for security vulnerability reports by fine-tuning pre-trained language models G Yang, S Dineen, Z Lin, X Liu Deployable Machine Learning for Security Defense: Second International …, 2021	12	2021
TestAug: A Framework for Augmenting Capability-based NLP Tests G Yang, M Haque, Q Song, W Yang, X Liu arXiv preprint arXiv:2210.08097, 2022	8	2022
Fairness-Preserving Empirical Risk Minimization G Yang University of California, Los Angeles, 2019	1	2019
A Study on Autonomous Motion Planning of Mobile Robot by Use of Deep Reinforcement Learning for Fall Prevention in Hospita G Yang Japan: JUACEP Indenpedent Research Report Nagoya University, 2018	1	2018
Reproducibility Challenge@ NeurIPS 2019 Learning Robust Global Representations by Penalizing Local Predictive Power (Replication Track) G Yang		2019
Design and Implementation of Speaker Similarity Estimation System based on UCLA Variability Database Y Wang, J Zhang, G Yang, Z Zhou
Deep Learning under Fairness Constraints G Yang, L Wang
Fairness: What is the Right Thing to Do? A Comparative Study of Fairness-Preserving Algorithms G Yang

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Articles 1–8