Yongzhi Qi

JD.com Smart Supply Chain Y

SCHOLARLY PAPERS

3

DOWNLOADS
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Top 26,205

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3,754

SSRN CITATIONS
Rank 48,951

SSRN RANKINGS

Top 48,951

in Total Papers Citations

15

CROSSREF CITATIONS

3

Scholarly Papers (3)

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 2,956 (8,420)
Citation 22

Abstract:

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end-to-end, inventory management, deep learning

2.

New Product Life Cycle Curve Modeling and Forecasting with Product Attributes and Promotion: A Bayesian Functional Approach

Rotman School of Management Working Paper No. 4014586
Number of pages: 36 Posted: 01 Mar 2022 Last Revised: 19 Sep 2022
Tsinghua University - Department of Industrial Engineering, JD.com Smart Supply Chain Y, JD.com Smart Supply Chain Y, JD.com Smart Supply Chain Y, JD.com Smart Supply Chain Y, Rotman School of Management and University of California, Berkeley - Department of Industrial Engineering & Operations Research (IEOR)
Downloads 469 (117,156)

Abstract:

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Product life cycle, Sales forecasting, Bayesian model, Functional regression

3.

Pooling and Boosting for Demand Prediction in Retail: A Transfer Learning Approach

Forthcoming, Manufacturing & Service Operations Management
Number of pages: 44 Posted: 26 Jun 2023 Last Revised: 23 Apr 2024
Tsinghua University - Department of Industrial Engineering, JD.com Smart Supply Chain Y, Rotman School of Management, JD.com Smart Supply Chain Y, JD.com Smart Supply Chain Y, JD.com Smart Supply Chain Y and University of California, Berkeley - Department of Industrial Engineering & Operations Research (IEOR)
Downloads 329 (174,890)
Citation 1

Abstract:

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demand prediction, retail, machine learning, boosting trees