Cong Shi

Orcid: 0000-0003-3564-3391

Affiliations:
  • University of Michigan, Ann Arbor, MI, USA


According to our database1, Cong Shi authored at least 27 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Evaluating the Impact of Personalized Value Alignment in Human-Robot Interaction: Insights into Trust and Team Performance Outcomes.
Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023
Effect of Adapting to Human Preferences on Trust in Human-Robot Teaming.
CoRR, 2023

Enabling Team of Teams: A Trust Inference and Propagation (TIP) Model in Multi-Human Multi-Robot Teams.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Reward Shaping for Building Trustworthy Robots in Sequential Human-Robot Interaction.
IROS, 2023

TIP: A Trust Inference and Propagation Model in Multi-Human Multi-Robot Teams.
Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

2022
Clustering Trust Dynamics in a Human-Robot Sequential Decision-Making Task.
IEEE Robotics Autom. Lett., 2022

Online Resource Allocation with Personalized Learning.
Oper. Res., 2022

Online Learning and Pricing for Network Revenue Management with Reusable Resources.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Online Learning and Pricing with Reusable Resources: Linear Bandits with Sub-Exponential Rewards.
Proceedings of the International Conference on Machine Learning, 2022

2021
Reverse Psychology in Trust-Aware Human-Robot Interaction.
IEEE Robotics Autom. Lett., 2021

Multi-armed bandit with sub-exponential rewards.
Oper. Res. Lett., 2021

Online Advance Scheduling with Overtime: A Primal-Dual Approach.
Manuf. Serv. Oper. Manag., 2021

Nonparametric Learning Algorithms for Joint Pricing and Inventory Control with Lost Sales and Censored Demand.
Math. Oper. Res., 2021

Marrying Stochastic Gradient Descent with Bandits: Learning Algorithms for Inventory Systems with Fixed Costs.
Manag. Sci., 2021

2020
Closing the Gap: A Learning Algorithm for Lost-Sales Inventory Systems with Lead Times.
Manag. Sci., 2020

2019
Process Flexibility for Multiperiod Production Systems.
Oper. Res., 2019

Joint Pricing and Inventory Management with Strategic Customers.
Oper. Res., 2019

2018
Approximation Algorithms for Capacitated Perishable Inventory Systems with Positive Lead Times.
Manag. Sci., 2018

Technical Note - Perishable Inventory Systems: Convexity Results for Base-Stock Policies and Learning Algorithms Under Censored Demand.
Oper. Res., 2018

2017
Production planning problems with joint service-level guarantee: a computational study.
Int. J. Prod. Res., 2017

2016
Approximation algorithms for inventory problems with submodular or routing costs.
Math. Program., 2016

Technical Note - Approximation Algorithms for Perishable Inventory Systems with Setup Costs.
Oper. Res., 2016

Technical Note - Nonparametric Data-Driven Algorithms for Multiproduct Inventory Systems with Censored Demand.
Oper. Res., 2016

2015
A faster algorithm for the resource allocation problem with convex cost functions.
J. Discrete Algorithms, 2015

Approximation Algorithms for Perishable Inventory Systems.
Oper. Res., 2015

Dynamic Allocation Problems in Loss Network Systems with Advanced Reservation.
CoRR, 2015

2013
Approximation Algorithms for the Stochastic Lot-Sizing Problem with Order Lead Times.
Oper. Res., 2013


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