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20212026
most citedQuantum Computing Methods for Supply Chain Management

22 citations · 24 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ML2026

Conformal Robustness in Prediction-Driven Decision-Making

Lingjie Zhao, Hansheng Jiang, Wei Qi

Modern prediction-driven decision systems often rely on black-box predictors, but a point forecast alone does not provide the uncertainty scale required for robust downstream decis…

stat.ML2025★ 1 cited

Spatial Supply Repositioning with Censored Demand Data

Hansheng Jiang, Chunlin Sun, Zuo-Jun Max Shen

We consider a network inventory system motivated by one-way, on-demand vehicle sharing services. Under uncertain and correlated network demand, the service operator periodically re…

stat.ML2023

Smoothness-Adaptive Dynamic Pricing with Nonparametric Demand Learning

Zeqi Ye, Hansheng Jiang

We study the dynamic pricing problem where the demand function is nonparametric and Hölder smooth, and we focus on adaptivity to the unknown Hölder smoothness parameter of the…

quant-ph2023★ 1 cited

Simulation-Based Evaluation of Energy-Constrained Quantum-Classical Competition

Junyu Liu, Hansheng Jiang, Zuo-Jun Max Shen

This paper develops a simulation-based framework for evaluating the energy implications of quantum and classical computing firms competing in a market with limited energy resources…

quant-ph2022★ 22 cited

Quantum Computing Methods for Supply Chain Management

Hansheng Jiang, Zuo-Jun Max Shen, Junyu Liu

Quantum computing is expected to have transformative influences on many domains, but its practical deployments on industry problems are underexplored. We focus on applying quantum…

stat.ME2021

A Nonparametric Maximum Likelihood Approach to Mixture of Regression

Hansheng Jiang, Adityanand Guntuboyina

We study mixture of linear regression (random coefficient) models, which capture population heterogeneity by allowing the regression coefficients to follow an unknown distribution…