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Yijun Bian
Research Fellow,
College of Design and Engineering,
National University of Singapore
Contact me
Email: yjbian@mail.ustc.edu.cn
Location: Singapore
Biography
I am currently a postdoctoral research fellow at the College of Design & Engineering, National University of Singapore (NUS). Prior to joining NUS, I obtained my Ph.D. degree from the Department of Computer Science and Technology, University of Science and Technology of China (USTC), and was very fortunate to be supervised by Prof. Huanhuan Chen. I was a visiting research student once with the DATA Lab, Department of Computer Science & Engineering, Texas A&M University. Before that, I received my Bachelor’s degree from the College of Science, Northwest A&F University (NWAFU).
Education
Ph.D. in Computer Science and Technology, University of Science and Technology of China, 2020
B.Sc. in Computational Mathematics, Northwest A&F University, 2014
Publications
Works listed as first/corresponding author (*) and equal contributions (#); see Google Scholar.
Preprints
Yijun Bian*, Kun Zhang, Anqi Qiu, and Nanguang Chen, "Increasing fairness via combination with learning guarantees", arXiv preprint arXiv:2301.10813, 2023. Under Review.
[arXiv]
Abhijith Sharma#, Yijun Bian#*, Phil Munz, and Apurva Narayan, "Adversarial patch attacks and defences in vision-based tasks: A survey", arXiv preprint arXiv:2206.08304, 2022. Under Review.
[arXiv][TechRxiv]
Journal articles
Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen*, and Xia Hu, "Subarchitecture ensemble pruning in neural architecture search", IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 12, pp. 7928-7936, Dec 2022.
[arXiv][paper][code][doi]
Yijun Bian and Huanhuan Chen*, "When does diversity help generalization in classification ensembles?" IEEE Transactions on Cybernetics, vol. 52, no. 9, pp. 9059–9075, Sept 2022.
[arXiv][paper][doi]
Yijun Bian, Yijun Wang, Yaqiang Yao, and Huanhuan Chen*, "Ensemble pruning based on objection maximization with a general distributed framework", IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 9, pp. 3766–3774, Sept 2020.
[arXiv][paper][code][doi]
Conference paper
Abhijith Sharma, Yijun Bian, Vatsal Nanda, Phil Munz, and Apurva Narayan, "Vulnerability of CNNs against multi-patch attacks", Proceedings of the 2023 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems (SaT-CPS’23), pp. 23–32, Apr 2023.
[paper][doi]
Experiences
Teaching & research
Graduate research assistant @USTC, Sept 2014 to Nov 2020
Visiting research scholar @TAMU, Nov 2018 to Apr 2019
Teaching assistant @USTC, Mar 2016 to Jul 2016
Presentation
Professional Activities
Journal reviewer
Scientific Reports, since Jun 2023
IEEE Transactions on Pattern Analysis and Machine Intelligence, since May 2023
Journal of Supercomputing, since Mar 2023
IEEE Transactions on Emerging Topics in Computational Intelligence, since Sept 2021
Neural Networks, since Nov 2020
IEEE Transactions on Neural Networks and Learning Systems, since Aug 2016
Open-source contributor
AdaNet (Google’s open-source project), merged pull request, Oct 2019
OpenNE, merged pull request, Aug 2019
AutoKeras, merged pull requests a and b in the blocks branch, Jun 2019
Released code of projects
SAEP,
official released code for "Subarchitecture ensemble pruning in neural architecture search".
EPFD,
official released code for "Ensemble pruning based on objection maximisation with a general distributed framework".
PyEnsemble, an open-source library for ensemble learning methods, diversity measures, and ensemble pruning methods.
Selected Honours & Awards
Seal of Excellence under the HORIZON Europe MSCA call 2022, European Commission, Apr 2023
GDC Technology Scholarship, USTC, Oct 2019
International Exchange Funding for Excellent Students, USTC, Apr 2018
First-class Academic Scholarship, USTC, Sept 2015
Outstanding Undergraduate Graduation Thesis (Design), NWAFU, Jun 2014
President Scholarship, NWAFU, Dec 2013
Merit Student, for three consecutive years, NWAFU, Dec 2011 to Dec 2013
First Prize Professional Scholarship, four times in a row, NWAFU, Mar 2011, Oct 2011 to Oct 2013
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