activity
20152023
most citedRobust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty

26 citations · 92 across the 15 of their papers we have counts for

collaborators

17 papers

math.PR2023

Bulk Service Queueing for Transit Resilience under Short Random Service Suspensions

Baichuan Mo, Li Jin, Zhengzhong Ricky You +3

Short service suspensions are common in public transit systems, but their operational impacts remain difficult to quantify. We develop an analytical framework for measuring the res…

math.OC2022

Optimal Policy for Inventory Management with Periodic and Controlled Resets

Yoon Lee, Yonatan Mintz, Anil Aswani +2

Inventory management problems with periodic and controllable resets occur in the context of managing water storage in the developing world and retailing limited-time availability p…

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…

math.OC2022★ 26 cited

Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty

Baichuan Mo, Haris N. Koutsopoulos, Max Zuo-Jun Shen +1

When there are significant service disruptions in public transit systems, passengers usually need guidance to find alternative paths. This paper proposes a path recommendation mode…

math.OC2021★ 3 cited

Regret Analysis of Learning-Based MPC with Partially-Unknown Cost Function

Ilgin Dogan, Zuo-Jun Max Shen, Anil Aswani

The exploration/exploitation trade-off is an inherent challenge in data-driven adaptive control. Though this trade-off has been studied for multi-armed bandits (MAB's) and reinforc…

cs.LG2021★ 5 cited

Smart Feasibility Pump: Reinforcement Learning for (Mixed) Integer Programming

Meng Qi, Mengxin Wang, Zuo-Jun Shen

In this work, we propose a deep reinforcement learning (DRL) model for finding a feasible solution for (mixed) integer programming (MIP) problems. Finding a feasible solution for M…

math.OC2020★ 15 cited

3-D Dynamic UAV Base Station Location Problem

Cihan Tugrul Cicek, Zuo-Jun Max Shen, Hakan Gultekin +1

We address a dynamic covering location problem of an Unmanned Aerial Vehicle Base Station (UAV-BS), where the location sequence of a single UAV-BS in a wireless communication netwo…

math.OC2020★ 7 cited

Rhythmic Control of Automated Traffic -- Part II: Grid Network Rhythm and Online Routing

Xi Lin, Meng Li, Zuo-jun Max Shen +2

Connected and automated vehicle (CAV) technology is providing urban transportation managers tremendous opportunities for better operation of urban mobility systems. However, there…

cs.LG2020

Fatigue-aware Bandits for Dependent Click Models

Junyu Cao, Wei Sun, Zuo-Jun +2

As recommender systems send a massive amount of content to keep users engaged, users may experience fatigue which is contributed by 1) an overexposure to irrelevant content, 2) bor…

cs.AI2020★ 5 cited

Urban Bike Lane Planning with Bike Trajectories: Models, Algorithms, and a Real-World Case Study

Sheng Liu, Zuo-Jun Max Shen, Xiang Ji

We study an urban bike lane planning problem based on the fine-grained bike trajectory data, which is made available by smart city infrastructure such as bike-sharing systems. The…

cs.LG2019★ 4 cited

Adjusting Rate of Spread Factors through Derivative-Free Optimization: A New Methodology to Improve the Performance of Forest Fire Simulators

Jaime Carrasco, Cristobal Pais, Zuo-Jun Max Shen +1

In practical applications, it is common that wildfire simulators do not correctly predict the evolution of the fire scar. Usually, this is caused due to multiple factors including…

math.PR2018★ 4 cited

Last-mile shared delivery: A discrete sequential packing approach

Junyu Cao, Mariana Olvera-Cravioto, Zuo-Jun Shen

We propose a model for optimizing the last-mile delivery of n packages, from a distribution center to their final recipients, using a strategy that combines the use of ride-sharing…

math.OC2017★ 1 cited

Data-Driven Planning of Plug-in Hybrid Electric Taxi Charging Stations in Urban Environments: A Case in the Central Area of Beijing

Huimiao Chen, Yinghao Jia, Zechun Hu +2

Plug-in electric vehicles (PEVs) can contribute to energy and environmental challenges. Among different types of PEVs, plug-in hybrid electric taxis (PHETs) go in advance. In this…

math.OC2017

Risk-Averse Joint Capacity Evaluation of PV Generation and Electric Vehicle Charging Stations in Distribution Networks

Huimiao Chen, Zechun Hu, Yinghao Jia +1

Increasing penetration of distribution generation (DG) and electric vehicles (EVs) calls for an effective way to estimate the achievable capacity connected to the distribution syst…

math.OC2017

Local Water Storage Control for the Developing World

Yonatan Mintz, Zuo-Jun Max Shen, Anil Aswani

Most cities in India do not have water distribution networks that provide water throughout the entire day. As a result, it is common for homes and apartment buildings to utilize wa…

math.OC2015

Robust Defibrillator Deployment Under Cardiac Arrest Location Uncertainty via Row-and-Column Generation

Timothy C. Y. Chan, Zuo-Jun Max Shen, Auyon Siddiq

Sudden cardiac arrest is a significant public health concern. Successful treatment of cardiac arrest is extremely time sensitive, and use of an automated external defibrillator (AE…

math.OC2015

Inverse Optimization with Noisy Data

Anil Aswani, Zuo-Jun Max Shen, Auyon Siddiq

Inverse optimization refers to the inference of unknown parameters of an optimization problem based on knowledge of its optimal solutions. This paper considers inverse optimization…