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Zhengling Qi

George Washington University - School of Business

Washington, DC 20052

United States

SCHOLARLY PAPERS

8

DOWNLOADS
Rank 46,251

SSRN RANKINGS

Top 46,251

in Total Papers Downloads

2,705

TOTAL CITATIONS

1

Scholarly Papers (8)

1.

Offline Feature-Based Pricing under Censored Demand: A Causal Inference Approach

Number of pages: 55 Posted: 28 Mar 2022 Last Revised: 20 Jun 2023
Jingwen Tang, Zhengling Qi, Ethan Fang and Cong Shi
University of Miami Herbert Business School, George Washington University - School of Business, Duke University - Department of Biostatistics and Bioinformatics and University of Miami - Department of Management
Downloads 1,280 (39,698)

Abstract:

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offline learning, feature-based pricing, demand censoring, causal inference, regret analysis

2.

A New Estimator for Encouragement Design in Randomized Controlled Trials When the Exclusion Restriction Is Violated

Number of pages: 73 Posted: 17 Jul 2024 Last Revised: 06 Jun 2026
Marshall School of Business - University of Southern California, Washington University in St. Louis - John M. Olin Business School, Washington University in St. Louis - John M. Olin Business School, George Washington University - School of Business, Washington University in St. Louis - John M. Olin Business School, Industry Collaborators and Industry Collaborators
Downloads 448 (161,631)

Abstract:

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Randomized Controlled Trials, Noncompliance, Encouragement Design, Instrumental Variable, Exclusion Restriction, Heteroskedasticity

3.

A Causal Approach to Representation Learning for Unstructured Data

The Wharton School Research Paper
Number of pages: 34 Posted: 23 Jun 2025
Sikun Xu, Zhenling Jiang, Zhengling Qi and Dennis Zhang
Washington University in St. Louis - John M. Olin Business School, University of Pennsylvania - The Wharton School, George Washington University - School of Business and Washington University in St. Louis - John M. Olin Business School
Downloads 443 (163,416)

Abstract:

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Causal Inference, Unstructured Data, Causal Representation Learning, Pretrained Models

4.

A General Framework for Robust Individualized Decision Learning with Sensitive Variables

Number of pages: 43 Posted: 12 Feb 2024
Xiaoqing Tan, Zhengling Qi, Lu Tang and Maxime C. Cohen
University of Pittsburgh, George Washington University - School of Business, University of Pittsburgh and Desautels Faculty of Management, McGill University
Downloads 247 (311,323)
Citation 1

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causal inference, individualized treatment rules, sensitive variables, robustness

5.

Beyond Demand Estimation: Consumer Surplus Evaluation via Cumulative Propensity Weights

Darden Business School Working Paper Forthcoming
Number of pages: 74 Posted: 02 Jan 2026 Last Revised: 23 Feb 2026
Zeyu Bian, Max Biggs, Ruijiang Gao and Zhengling Qi
Florida State University, University of Virginia - Darden School of Business, University of Texas at Dallas and George Washington University - School of Business
Downloads 164 (456,852)

Abstract:

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Surplus Estimation, Causal Inference, Pricing, Semi-parametric Statistics, Machine Learning, Algorithmic Fairness

6.

Dispatch or Hold? An Inverse Optimization and Reinforcement Learning Approach for Multi-Objective On-Demand Delivery

Number of pages: 49 Posted: 01 Dec 2025
Yihua Wang, Long He, Zhengling Qi and Stefan Minner
Technische Universität München (TUM), George Washington University, George Washington University - School of Business and Technische Universität München (TUM) - TUM School of Management
Downloads 120 (600,462)

Abstract:

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On-demand delivery, Order dispatching, Inverse optimization, Reinforcement learning, Multi-objective, Data-driven

7.

Double Fairness Policy Learning: Integrating Action Fairness and Outcome Fairness in Decision-making

Number of pages: 63 Posted: 13 May 2026
Zeyu Bian, Wang Lan, Chengchun Shi and Zhengling Qi
Florida State University, University of Miami - Department of Management Science, London School of Economics and Political Science and George Washington University - School of Business
Downloads 3 (1,579,934)

Abstract:

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Fairness, Trustworthiness, Policy Learning, Multi-objective Optimization

8.

How Mega Is the Mega? Exploring the Spillover Effects of WeChat Using Graphical Model

Zheng, J., Qi, Z., Dou, Y., & Tan, Y. (2019). How mega is the mega? Exploring the spillover effects of WeChat using graphical model. Information Systems Research, 30(4), 1343-1362.
Posted: 23 Sep 2016 Last Revised: 10 Aug 2021
Jinyang Zheng, Zhengling Qi, Yifan Dou and Yong Tan
University of Rochester, George Washington University - School of Business, Fudan University - School of Management and University of Washington - Michael G. Foster School of Business

Abstract:

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causal inference, graphical model, app analytics, WeChat, spillover effects, machine learning, econometrics