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Citations per year
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Cited by
All
Since 2019
Citations
23
23
h-index
2
2
i10-index
1
1
0
12
6
2019
2020
2021
2022
2023
2024
1
1
4
11
6
Co-authors
Susan Xueqing Liu
Stevens Institute of Technology
Verified email at stevens.edu
Wei Yang
Assistant Professor, Department of Computer Science, University of Texas at Dallas
Verified email at utdallas.edu
Mirazul Haque
Research Scientist, JP Morgan AI Research
Verified email at jpmchase.com
Lingxiao Wang
Toyota Technological Institute at Chicago
Verified email at ttic.edu
Follow
Guanqun Yang
Ph.D. Candidate in Computer Science,
Stevens Institute of Technology
Verified email at stevens.edu -
Homepage
Machine Learning
Natural Language Processing
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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
13
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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