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Xiangyu Gao
Xiangyu Gao
Verified email at cuhk.edu.hk - Homepage
Title
Cited by
Cited by
Year
Preservation of structural properties in optimization with decisions truncated by random variables and its applications
X Chen, X Gao, Z Pang
Operations Research 66 (2), 340-357, 2018
462018
A new approach to two-location joint inventory and transshipment control via L♮-convexity
X Chen, X Gao, Z Hu
Operations Research Letters 43 (1), 65-68, 2015
392015
Joint learning and optimization for multi-product pricing (and ranking) under a general cascade click model
X Gao, S Jasin, S Najafi, H Zhang
Management Science 68 (10), 7362-7382, 2022
232022
Population monotonicity in newsvendor games
X Chen, X Gao, Z Hu, Q Wang
Management Science 65 (5), 2142-2160, 2019
162019
Stochastic optimization with decisions truncated by positively dependent random variables
X Chen, X Gao
Operations Research 67 (5), 1321-1327, 2019
152019
Sampling-based approximation for serial multi-echelon inventory system
K Zhang, X Gao, Z Wang, S Zhou
Available at SSRN 3859856, 2022
72022
An efficient learning framework for multiproduct inventory systems with customer choices
X Gao, H Zhang
Production and Operations Management 31 (6), 2492-2516, 2022
72022
Joint learning and optimization for multi-product pricing under a general cascade click model
X Gao, S Jasin, S Najafi, H Zhang
SSRN, 2020
72020
Online learning for pricing in on-demand vehicle sharing networks
S Benjaafar, X Gao, X Shen, H Zhang
Available at SSRN 4344364, 2023
32023
Dynamic Pricing When Customers Have Time-Inconsistent Preferences
X Gao, X Chen, YJ Chen
HKUST Business School Research Paper, 2021
22021
Stochastic optimization with decisions truncated by random variables and its applications in operations
X Gao
University of Illinois at Urbana-Champaign, 2017
22017
A Hybrid Sampling Based and Gradient Descent Method with Applications in Inventory Management
Z Wang, X Gao, K Zhang, S Zhou
Available at SSRN, 2023
2023
Inventory Control with Censored Demand
X Gao, H Zhang
The Elements of Joint Learning and Optimization in Operations Management …, 2022
2022
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