Timothy C. Y. Chan

Orcid: 0000-0002-4128-1692

According to our database1, Timothy C. Y. Chan authored at least 32 papers between 2008 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
AutoLTS: Automating Cycling Stress Assessment via Contrastive Learning and Spatial Post-processing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022
Drone Network Design for Cardiac Arrest Response.
Manuf. Serv. Oper. Manag., 2022

An Inverse Optimization Approach to Measuring Clinical Pathway Concordance.
Manag. Sci., 2022

Spatial Price Integration in Commodity Markets with Capacitated Transportation Networks.
Oper. Res., 2022

Robust Direct Aperture Optimization for Radiation Therapy Treatment Planning.
INFORMS J. Comput., 2022

Inverse Mixed Integer Optimization: Polyhedral Insights and Trust Region Methods.
INFORMS J. Comput., 2022

A Machine Learning Approach to Solving Large Bilevel and Stochastic Programs: Application to Cycling Network Design.
CoRR, 2022

Dynamic Control of Service Systems with Returns: Application to Design of Post-Discharge Hospital Readmission Prevention Programs.
CoRR, 2022

OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines.
CoRR, 2022

2021
An Ensemble Learning Framework for Model Fitting and Evaluation in Inverse Linear Optimization.
INFORMS J. Optim., January, 2021

Points Gained in Football: Using Markov Process-Based Value Functions to Assess Team Performance.
Oper. Res., 2021

2020
Sampling from the complement of a polyhedron: An MCMC algorithm for data augmentation.
Oper. Res. Lett., 2020

AutoAudio: Deep Learning for Automatic Audiogram Interpretation.
J. Medical Syst., 2020

Ambulance Emergency Response Optimization in Developing Countries.
Oper. Res., 2020

Inverse optimization for the recovery of constraint parameters.
Eur. J. Oper. Res., 2020

OpenKBP: The open-access knowledge-based planning grand challenge.
CoRR, 2020

Machine Learning as a Catalyst for Value-Based Health Care.
CoRR, 2020

2019
Inverse Optimization: Closed-Form Solutions, Geometry, and Goodness of Fit.
Manag. Sci., 2019

Process Flexibility in Baseball: The Value of Positional Flexibility.
Manag. Sci., 2019

The importance of evaluating the complete automated knowledge-based planning pipeline.
CoRR, 2019

2018
Robust Defibrillator Deployment Under Cardiac Arrest Location Uncertainty via Row-and-Column Generation.
Oper. Res., 2018

Trade-off preservation in inverse multi-objective convex optimization.
Eur. J. Oper. Res., 2018

Interior Point Methods with Adversarial Networks.
CoRR, 2018

Automated Treatment Planning in Radiation Therapy using Generative Adversarial Networks.
Proceedings of the Machine Learning for Healthcare Conference, 2018

2017
Stability and Continuity in Robust Optimization.
SIAM J. Optim., 2017

2016
Optimizing the Deployment of Public Access Defibrillators.
Manag. Sci., 2016

2014
Generalized Inverse Multiobjective Optimization with Application to Cancer Therapy.
Oper. Res., 2014

A robust-CVaR optimization approach with application to breast cancer therapy.
Eur. J. Oper. Res., 2014

2013
Deal or No Deal: A Spreadsheet Game to Introduce Decision Making Under Uncertainty.
INFORMS Trans. Educ., 2013

Adaptive and robust radiation therapy optimization for lung cancer.
Eur. J. Oper. Res., 2013

2012
Quantifying the Contribution of NHL Player Types to Team Performance.
Interfaces, 2012

2008
Robust Management of Motion Uncertainty in Intensity-Modulated Radiation Therapy.
Oper. Res., 2008


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