邮箱：Bchen@bnu.edu.cn
Biwei Chen earned his Ph.D. in Economics from the Graduate Center at the City University of New York. His specialization fields cover Applied Econometrics, Machine Learning, Macroeconomics, and Finance. During his doctoral study, he was a visiting scholar at Columbia University and New York University. Prior to joining the Belt and Road School, he held faculty positions at Barnard College, Colby College, Columbia University, and the Johns Hopkins University.
For over a decade, Professor Chen has been teaching students with very diverse backgrounds a wide spectrum of courses in Economics, Finance, Statistics and Data Analysis. He was a recipient of the CORE USA Teaching Fellowship, of the Emily Gregory Teaching Award Nomination at Barnard College, and of the CIT Bank Award for Economics and Financial Education at the City University of New York. Putting his teaching philosophy into practice, he has published three customized Economics textbooks since 2020.
Multiple times, his research on the interest rate term structure won the Foundation Scholarship of the National Association for Business Economics and the Salih Neftci Best Paper Award in the PhD Program in Economics at the City University of New York. In addition to publications in peer-reviewed journals, he recently co-authored several papers in the realm of artificial intelligence for the IEEE conferences.
At the Belt and Road School, Professor Chen endeavors to create transformational learning experience for MBA students, supporting them to acquire core values, essential skills, and critical thinking to turn future challenges to opportunities in the world of business and governance.
2019 Emily Gregory Teaching Award Nomination, Barnard College, Columbia University, USA
2019, 2018 Foundation Scholarship, National Association for Business Economics, USA
2018 CORE USA Teagle Teaching Fellowship, Barnard College, Columbia University, USA
2018, 2017, 2016 Quantitative Education Fellowship, School of Professional Studies, The City University of New York, USA
2017 Salih Neftci Memorial Award for the Best Paper in Macroeconomics, Graduate Center, The City University of New York, USA
2016 Sallie Mae Bank Scholarship, PhD Program in Economics, Graduate Center CUNY, USA
2015 Salih Neftci Memorial Award for the Best Paper in Finance, Graduate Center, The City University of New York, USA
2014 CIT Bank Award for Economics Education, Graduate Center, The City University of New York, USA
2013 University Fellowship, PhD Program in Economics, Graduate Center, The City University of New York, USA
2008-2011 National Graduate Scholarship, Jinan University, Guangzhou, China
Biwei Chen, 2020, “Foundations of Economic Analysis and Explanation.” Cognella, CA, USA
Biwei Chen, 2021, “International Finance Lectures: Global Economy and Monetary System.” Cognella, CA, USA
Biwei Chen, 2022, “Macroeconomics in One Equation: From Data and Theory to Applications.” Cognella, CA, USA
Biwei Chen, 2021, “Shape evolution of the interest rate term structure.” Review of Economic Analysis, 13(4)
Biwei Chen, Christo Giannikos, and Jun Luo, 2022, “Is more financial literacy always beneficial? An investigation through a mediator.” Journal of Risk and Financial Management, 16(1)
Hui Zeng, Kang Deng, Biwei Chen, Anjie Peng, 2022, "How secure are the adversarial examples themselves?" IEEE ICASSP, pp. 2879-2883
Hui Zeng, Biwei Chen, Kang Deng, Anjie Peng, 2023, "Adversarial example detection Bayesian game," IEEE ICIP, pp. 1710-1714
Hui Zeng, Biwei Chen, Rongsong Yang, Chenggang Li & Anjie Peng, 2023, "Towards undetectable adversarial examples: A steganographic perspective" IEEE ICONIP, pp. 172–183
Hui Zeng, Tong Zhang, Biwei Chen, Anjie Peng, 2023, "Enhancing targeted transferability via suppressing high-confidence labels," IEEE ICIP, pp. 3309-3313
Tong Zhang, Biwei Chen, Anjie Peng, Hui Zeng, 2023，"Identifying GAN-generated faces with dark irises in the enhanced red channel," China MFS CSIG, Outstanding Paper Award
https//sites.google.com/view/biweichen-
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