Dr. Qingwei Jin is a professor in Operations Management at School of Management, Zhejiang University. His recent research focuses on revenue management such as online learning and pricing, robust assortment planning, omnichannel pricing and assortment planning, assortment planning based on customer behaviors like making choice, searching, anticipating regret, etc. He is the principal investigator of several NSFC projects and has published papers in SIAM Journal on Optimization, Production and Operations Management, INFORMS Journal on Computing and so on. His work has been implemented in retailing companies such as Tmall, Linezone, which helps to generate millions RMB in GMV.

• 2023- , Professor in Department of Data Sciences and Engineering Management, Zhejiang University, Hangzhou, Zhejiang, China.

• 2013-2023, Associate Professor in Department of Data Sciences and Engineering Management, Zhejiang University, Hangzhou, Zhejiang, China.

• 2011-2013, Assistant Professor in Department of Management Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, China.

• 2007-2011, Ph.D in Industrial Engineering, North Carolina State University, Raleigh, NC, USA.

• 2007-2009, M.I.E. in Industrial Engineering, North Carolina State University, Raleigh, NC, USA.

• 2004-2007, M.S. in Operations Research, Tsinghua University, Beijing, China.

• 2000-2004, B.S. in Information and Computing Science, Tsinghua University, Beijing, China.

Research Grants:

Publications:

• Wang, J., Wu, S., Jin, Q., Wang, Y., & Chen, C. (2023). Identifying Popular Products at an Early Stage of Sales Season for Apparel Industry. INFORMS Journal on Applied Analytics. DOI: 10.1287/inte.2023.0022

• Jin, Q., Wu, Y., Zeng, Y., & Zhang, L. (2023). Population monotonic allocation schemes for the two-period economic lot-sizing games. Operations Research Letters, 51(3), 296-303.

• Jin, Q., Zhu, M., Yang, Y., & Liu, L. (2022). Consumer search with anticipated regret, Production and Operations Management, 31(8), 3337-3351.

• Pei, Z., Lu, H., Jin, Q., & Zhang, L. (2022). Target-based distributionally robust optimization for single machine scheduling. European Journal of Operational Research, 299(2), 420-431.

• Lu, C., Deng, Z., Fang, S. C., Jin, Q., & Xing, W. (2022). Fast computation of global solutions to the single-period unit commitment problem. Journal of Combinatorial Optimization, 44(3), 1511-1536.

• Jin, Q., Lin, J.-Y., & Zhou, S. X. (2021). Price discounts and personalized product assortments under multinomial logit choice model: A robust approach. IISE Transactions, 53(4), 453–471. 

• Jiang, S., Fang, S. C., & Jin, Q. (2021). Sparse Solutions by a Quadratically Constrained ℓ q (0< q< 1) Minimization Model. INFORMS Journal on Computing, 33(2), 511-530.

• Zhou, W., Pu, Y., Dai, H. & Jin, Q. (2017). Cooperative interconnection settlement among ISPs through NAP, European Journal of Operational Research, 256(3), 991-1003. 

• Lu, C., Deng, Z. & Jin, Q. (2017). An eigenvalue decomposition based branch-and-bound algorithm for nonconvex quadratic programming problems with convex quadratic constraints, Journal of Global Optimization, 67(3), 475-493. 

• Tian, Y., Fang, S., Deng, Z. & Jin, Q. (2016). Cardinality constrained portfolio selection problem: A completely positive programming approach, Journal of Industrial and Management Optimization, 12(3), 1041-1056. 

• Gai, L., Jin, Q., Tian, Y. & Huang, Y. (2016). Reducing multivalued discrete variables in solving separable task assignment problems, Operations Research Society of China, 4(1), 97-110. 

• Tian, Y., Jin, Q. & Deng, Z. (2016). Quadratic optimization over a polyhedral cone, Journal of Industrial and Management Optimization, 12(1), 269-283. 

• Li, P. & Jin, Q. (2016). On the resolution of bipolar max-min equations, Kybernetika, 52(4), 514-530. 

• Deng, Z., Fang, S., Jin, Q. & Lu, C. (2015). Conic approximation to nonconvex quadratic programming with convex quadratic constraints, Journal of Global Optimization, 61(3), 459-478. 

• Shi, Z. & Jin, Q. (2014). Second order optimality conditions and reformulations for nonconvex quadratically constrained quadratic programming problems, Journal of Industrial and Management Optimization, 10(3), 871-882. 

• Jin, Q., Fang, S., Lu, C. & Xing, W. (2014). Solving conic quadratically constrained quadratic programming problems, Pacific Journal of Optimization, 10(3), 503-516. 

• Lu, C., Jin, Q., Fang, S., Wang, Z. & Xing, W. (2014). Adaptive computable approximation to cones of nonnegative quadratic functions, Optimization, 63(6), 955-980. 

• Deng, Z., Fang, S., Jin, Q. & Xing, W. (2013). Detecting copositivity of a symmetric matrix by an adaptive ellipsoid-based approximation scheme, European Journal of Operational Research, 229(1), 21-28. 

• Jin, Q., Tian, Y., Deng, Z., Fang, S. & Xing, W. (2013). Exact computable representation of some second-order cone constrained quadratic programming problems, Operations Research Society of China, 1, 107-134. 

• Tian, Y., Jin, Q., Lavery, J. & Fang, S. (2013). ℓ1 major component detection and analysis (l1 MCDA): foundations in two dimensions, Algorithms, 6, 12-18. 

• Jin, Q., Yu, L., Lavery, J. & Fang, S. (2012). Univariate cubic L-1 interpolating splines based on the first derivative and on 5-point windows: analysis, algorithm and shape-preserving properties, Computational Optimization and Applications, 51(2), 575-600. 

• Li, P. & Jin, Q. (2012). Fuzzy relational equations with min-biimplication composition, Fuzzy Optimization and Decision Making, 11(2), 227-240. 

• Lu, C., Fang, S., Jin, Q., Wang, Z. & Xing, W. (2011). KKT solution and conic relaxation for solving quadratically constrained quadratic programming problems, SIAM Journal on Optimization, 21(4), 1475-1490. 

• Jin, Q., Fang, S. C. & Xing, W. (2010). On the global optimality of generalized trust region subproblems, Optimization, 59(8), 1139-1151. 

• Jin, Q., Lavery, J. & Fang, S. C. (2010). Univariate cubic L1 interpolating splines: analytical results for linearity, convexity and oscillation on 5-point windows, Algorithms, 3, 276-293. 

Working Papers:

• Pricing and assortment optimization under logit based choice models with tree structured consideration sets, with Qianqian Wang and Yu Han, Available at SSRN 4129238.

• Dynamic Pricing and Learning under The Effect of Inventory Scarcity, with Mengyan Zhu, Available at SSRN 4187391.

• Robust assortment revenue optimization and satisficing, with Zhuoyu Long, Yu Sun, and Bin Hu, Available at SSRN 4045001.

• Parallel or sequential? Platforms' search-pattern preference: the role of assortment, with Lin Liu and Yi Yang, Available at SSRN 3721973.

• Improving front distribution center fulfillment rates: a distributionally robust approach, with Haodong Feng, Man Feng, Qianqian Wang, Yidong Zhang, Lei Can, Xinru Hao.

Ongoing Courses:

• Soft Computing (Undergraduate)

• Operations Management (Undergraduate)

• Game Theory (Postgraduate)

• Data-driven Operations Management (MBA)

Past Courses:

• Operations Research (Undergraduate)

• Supply Chain and Logistics Management (Undergraduate)

• Management Statistics (Undergraduate)

• Enterprise Resources Planning (Undergraduate)

• Management Research Methods (Postgraduate)

• ERP and Simulation Game (MBA)

• Operational Analytics (MBA)