Meng Qi

Cornell SC Johnson College of Business

Ithaca, NY 14850

United States

http://https://alicemengqi.github.io/site/

SCHOLARLY PAPERS

7

DOWNLOADS
Rank 18,774

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Top 18,774

in Total Papers Downloads

5,100

SSRN CITATIONS
Rank 28,784

SSRN RANKINGS

Top 28,784

in Total Papers Citations

37

CROSSREF CITATIONS

3

Scholarly Papers (7)

1.

A Practical End-to-End Inventory Management Model with Deep Learning

Number of pages: 27 Posted: 23 Feb 2021 Last Revised: 12 Jul 2021
Cornell SC Johnson College of Business, Department of Electrical and Computer Engineering, University California, San Diego, JD.com Smart Supply Chain Y, JD.com JD.com Silicon Valley Research Center, JD.com JD.com Silicon Valley Research Center, JD.com American Technologies Corporation and University of California, Berkeley - Department of Industrial Engineering & Operations Research (IEOR)
Downloads 2,923 (8,471)
Citation 21

Abstract:

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end-to-end, inventory management, deep learning

2.

End-to-End Deep Learning for Automatic Inventory Management with Fixed Ordering Cost

Number of pages: 50 Posted: 19 Jul 2021 Last Revised: 28 Nov 2022
Mo Liu, Meng Qi and Zuo-Jun Max Shen
University of California, Berkeley - Department of Industrial Engineering and Operations Research, Cornell SC Johnson College of Business and University of California, Berkeley - Department of Industrial Engineering & Operations Research (IEOR)
Downloads 545 (96,572)
Citation 1

Abstract:

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end-to-end learning, inventory management, fixed ordering cost

3.

Distributionally Robust Conditional Quantile Prediction with Fixed Design

Number of pages: 36 Posted: 12 Jun 2019 Last Revised: 18 Oct 2021
Meng Qi, Ying Cao and Zuo-Jun Max Shen
Cornell SC Johnson College of Business, University of California, Berkeley - Department of Industrial Engineering and Operations Research and University of California, Berkeley - Department of Industrial Engineering & Operations Research (IEOR)
Downloads 522 (101,890)
Citation 2

Abstract:

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quantile prediction, distributionally robust optimization, data-driven Newsvendor problem

4.

Data-Driven Research in Retail Operations - A Review

Number of pages: 38 Posted: 07 Jul 2020 Last Revised: 02 Sep 2020
Cornell SC Johnson College of Business, University of Oxford - Said Business School and University of California, Berkeley - Department of Industrial Engineering & Operations Research (IEOR)
Downloads 462 (117,964)
Citation 8

Abstract:

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5.

A Learning and Optimization Framework for Personalized Product Design

Number of pages: 50 Posted: 01 Sep 2023 Last Revised: 30 Oct 2023
University of Texas at Dallas - Naveen Jindal School of Management, Cornell SC Johnson College of Business and University of California, Berkeley - Department of Industrial Engineering & Operations Research (IEOR)
Downloads 346 (163,773)

Abstract:

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Product Design, Conjoint Analysis, Personalization, Statistical Learning

6.

Urban Courier: Operational Innovation and Data-driven Coverage-and-Pricing

Number of pages: 41 Posted: 06 Oct 2020 Last Revised: 03 Oct 2022
University of Texas at Dallas - Naveen Jindal School of Management, Cornell SC Johnson College of Business, University of Texas at Austin - McCombs School of Business and University of California, Berkeley - Department of Industrial Engineering & Operations Research (IEOR)
Downloads 271 (211,527)

Abstract:

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urban courier delivery, joint scheduling and pricing, data-driven distributionally robust optimization, maximum weighted coverage

Learning Newsvendor Problem with Intertemporal Dependence and Moderate Non-stationarities

Number of pages: 55 Posted: 11 Aug 2020
Cornell SC Johnson College of Business, University of California, Berkeley - Department of Industrial Engineering & Operations Research (IEOR) and University of California, Berkeley
Downloads 31 (883,439)

Abstract:

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Newsvendor problem, intertemporal dependent data, non-stationarity, generalization bound

Learning Newsvendor Problem with Intertemporal Dependence and Moderate Non-stationarities

Posted: 11 Aug 2020 Last Revised: 25 Oct 2021
Cornell SC Johnson College of Business, University of California, Berkeley - Department of Industrial Engineering & Operations Research (IEOR) and University of California, Berkeley

Abstract:

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Newsvendor problem, intertemporal dependent data, non-stationarity, generalization bound