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Yuqing Wang | U-M LSA Department of Economics
Yuqing Wang People Faculty Visitors Emeriti Department Administration Staff PhD Students Masters of Applied Economics Students RSQE IT Fields of Study CJARS Graduate Student - PhD yuqinw@umich edu Economics; Development Economics
Yuqing Wang - University of Michigan College of Literature, Science . . .
工作经历 University of Michigan College of Literature, Science, and the Arts Ann Arbor, Michigan, United States
Yuqiong Wang - GitHub Pages
I lecture the following courses: [University of Michigan] Computational finance (MATH 623), Winter 2024, Fall 2025, Winter 2026, Fall 2026 [University of Michigan] Mathematics for finance (MATH 423), Fall 2024, Spring 2025
‪Yuqiong Wang‬ - ‪Google Scholar‬
Yuqiong Wang University of Michigan Verified email at umich edu - Homepage Stochastic control theory
Yuqiong Wang - University of Michigan | LinkedIn
View Yuqiong Wang’s profile on LinkedIn, a professional community of 1 billion members
Yuqiong WANG | University of Michigan, Ann Arbor | U-M - ResearchGate
Yuqiong WANG | Cited by 14 | of University of Michigan, Ann Arbor (U-M) | Read 7 publications | Contact Yuqiong WANG
Welcoming the first Joint Institute Collaboration Scholars to Ann Arbor
Drs Yuqing Wang and Yuzhou Gan will spend one year in Ann Arbor as Joint Institute (JI) Collaboration Scholars The new program aims to prepare early-career scholars to transform collaborative medical education, research, and or patient care between Michigan Medicine and its longest-running institutional partner in China
Yuqing Wang - University of Michigan-Ann Arbor | WayUp
View Yuqing Wang's WayUp profile See Yuqing's professional qualifications and educational background at the University of Michigan-Ann Arbor
Yuqiong Wang
I am a Byrne Research Assistant Professor at the Department of mathematics at University of Michigan, mentored by Erhan Bayraktar My research interests include stochastic control, optimal stopping problems and stochastic games
Yuqing Wang
International Conference on Learning Representations (ICLR 2023) Yuqing Wang, Minshuo Chen, Tuo Zhao and Molei Tao “Large Learning Rate Tames Homogeneity: Convergence and Balancing Effect” International Conference on Learning Representations (ICLR 2022)

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