Yuting Yang (杨玉婷)

yuting.tina.yang@gmail.com

I received PhD at the University of Chinese Academy of Sciences (UCAS) supervised by Prof. Juan Cao and Prof. Jintao Li. I'm interested in research about how to build trustworthy AI systems that are adaptive to dynamic changes in environments. My research is launched from robustness as starting points (adversarial robustness and out-of-distribution robustness).

Curriculum Vitae    /    Research Statement    /    Google Scholar    /    DBLP       

Education
2017-2023 University of Chinese Academy of Sciences (Institute of Computing Technology, Chinese Academy of Sciences)
Ph.D. in Computer Application Technology, Key Lab of Intelligent Information Processing
Supervisor: Jintao Li
2021-2022 National University of Singapore (NUS)
Visiting Research Scholar in NExT++ Center
Supervisor: Tat-Seng Chua
2013-2017 Jilin University (JLU)
B.S. in Computer Science and Technology, School of Computer Science and Technology
Publications
PAD: A Robustness Enhancement Ensemble Method via Promoting Attention Diversity
Yuting Yang, Pei Huang, Feifei Ma, Juan Cao and Jintao Li
LREC-COLING 2024
Towards Efficient Verification of Quantized Neural Networks
Pei Huang, Haoze Wu, Yuting Yang, Ieva Daukantas, Min Wu, Yedi Zhang and Clark Barrett
AAAI 2024
A Prompt-based Approach to Adversarial Example Generation and Robustness Enhancement
Yuting Yang, Pei Huang, Juan Cao, Jintao Li, Yun Lin and Feifei Ma
Frontier of Computer Sciences 2024 (SCI Journal)
A Dual Prompt Learning Framework for Few-Shot Dialogue State Tracking
Yuting Yang, Wenqiang Lei, Pei Huang, Juan Cao, Jintao Li and Tat-Seng Chua
WWW 2023
Quantifying Robustness to Adversarial Word Substitutions
Yuting Yang, Pei Huang, Feifei Ma, Juan Cao, Jintao Li and Jian Zhang
ECML-PKDD 2023
Word Level Robustness Enhancement: Fight Perturbation with Perturbation
Pei Huang*, Yuting Yang*, Fuqi Jia, Minghao Liu, Feifei Ma, and Jian Zhang (*Co-First Author)
AAAI 2022
𝜀-weakened Robustness of Deep Neural Networks
Pei Huang*, Yuting Yang*, Minghao Liu, Fuqi Jia, Feifei Ma, and Jian Zhang (*Co-First Author)
ISSTA 2022
Teaching Experience
2018 Spring Teaching Assistant, Multimedia Technology, UCAS
Academic Activities
Reviewer/PC member AAAI 2022-2023, ACL Rolling Review (2021-2022), WWW 2022, EAAI 2022, KDD 2023
Conference Volunteer ICDM 2019
Honors and Awards
2021 Fourteenth Place Award in Security AI Challenger Program, CVPR2021 Security AI Challenger Phase VI, White-box Adversarial Attacks. (Top 1%)
2020 Institute Chief Award, ICT, CAS
2020 Merit Student, UCAS
2017-2022 Academic Scholarship, UCAS
2015 National Undergraduate Scholarship, Ministry of Education of China

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