你好, Hello, Bonjour!

Yingcong Tan
Ph.D. Candidate in Industrial Engineering
Department of Mechanical, Industrial and Aerospace Engineering,
Concordia University.

About me

I obtained my BASc in Engineering Science (Major in Bio-medical Engineering) from University of Toronto in 2012, and joined the Patient Alumni Program at Toronto Rehabilitation Institute as a project coordinator in 2013.

I moved to Montreal in 2014, and started my M.Eng study at Concordia in 2015. I was the recipient of the F.A. Gerard Prize from the Gina Cody School of Engineering and Computer Science.

In 2017, I started my Ph.D. study under the supervision of Dr. Daria Terekhov and Dr. Andrew Delong. My research centers around the idea of integration of Operations Research and Machine Learning . In particular, my research interests lie in scheduling problems and inverse optimization problems

This is me receiving the F.A. Gerard Prize

My Profile

×

Academic History

Concordia University, Montréal, Québec, Canada

University of Toronto, Toronto, Ontario, Canada

Certificate

  • Certificate of Attendance  ·  Jun. 2017
    CPLEX Training School at the University of Montréal, Montréal, Québec
    OR Student Chapter

Research & Publications

Ph.D. Work

Learning Linear Programs from Optimal Decisions.

Accepted at NeurIPS 2020 as spotlight paper, top 20%.
Links to the paper and supplementary materials will be available soon.

Deep Inverse Optimization

Given a set of observations generated by an optimization process, the goal of inverse optimization is to determine likely parameters of that process. In this study, we cast inverse optimization as a form of deep learning. The proposed method, called deep inverse optimization, is to unroll an iterative optimization process and then use backpropagation to learn parameters that generate the observations.

Decomposition-based Exact Algorithms for Flexible Flow Shop Problem

In this work, we developed decomposition-based algorithms, that are Logic-Based Benders Decomposition (LBBD) and Branch-and-Check (BC), for solving flexible flow shop problems (FFSP). To the best of our knowledge, this is the first study to implement decomposition-based exact algorithms for solving FFSP. The proposed algorithms provide significant performance improvement ( i.e., ability of finding & proving an optimal solution) comparing to the best-known mathematical model.

  • Conference Proceeding
    Tan, Y., & Terekhov, D. (2018). Logic-Based Benders Decomposition for Two-Stage Flexible Flow Shop Scheduling with Unrelated Parallel Machines. The 31st Canadian Conference on Artificial Intelligence. CAI2018.
    [CAI2018]    [Cite]    [Presentation at CORS2018]
       *Note: Constraint (4),(5) in the MIP formulation was misprinted such that k ∈ K was omitted.
  • Conference Presentation
    CAI2018, May 2018, Toronto Ontario, Canada.
    CORS2018, June 2018, Halifax Nova Scotia, Canada.
AI-Driven Meta-Heuristic Algorithms for Solving Scheduling Problems

For my Ph.D. thesis, I proposed a reinforcement learning guided variable neighborhood search (VNS) algorithm for solving combinatorial optimization problems in general and scheduling problems in particular. In the extended abstract listed below, I explained the following two features of the proposed algorithm in more detail,
i). Markov Decision Process (MDP) representation of VNS;
ii). Feature representation of scheduling problems through deep auto-encoder

  • Conference Proceeding (Extended Abstract)
    Tan, Y. (2018). Automated Scheduling: Reinforcement Learning Approach to Algorithm Policy Learning. The 31st Canadian Conference on Artificial Intelligence. GSCAI2018.
    [CAIGSC2018]    [Cite]   
  • Conference Presentation
    GSCAI2018(Graduate Student Symposium), May 2018, Toronto Ontario, Canada.

Other Research Work

Study of Different Rehabilitation Exercise Modality

This study was conducted at Toronto Rehabilitation Institute (Toronto, Ontario, Canada) to study the effect of different exercise modality on patients with coronary artery disease. I joined the study in 2012-2013 to help with the data analysis.

  • Refereed Journal Publication
    Marzolini, S., Swardfager, W., Alter, D. A., Oh, P. I., Tan, Y., & Goodman, J. M. (2015). Quality of Life and Psychosocial Measures Influenced by Exercise Modality in Patients with Coronary Artery Disease. European Journal of Physical and Rehabilitation Medicine, 51(3), 291-299.
    [PDF]    [Journal]   

Experience & Service

Professional Experience

Teaching Assistant  · 
INDU480 - Cases in Industrial Engineering  ·  Winter 2020
Dept. of Mechanical, Industrial and Aerospace Engineering
Concordia University, Montréal, Québec, Canada

COMP 6321 - Machine Learning ·  Fall 2019
Dept. of Computer Science and Software Engineering
Concordia University, Montréal, Québec, Canada

INDU 6231 - Scheduling Theory ·  Summer 2017
Dept. of Mechanical, Industrial and Aerospace Engineering
Concordia University, Montréal, Québec, Canada

Project Coordinator  ·  Feb. 2013 - Aug. 2014
Cardiovascular Rehabilitation and Prevention Program
Toronto Rehabilitation Institute, Toronto, Ontario, Canada

Engineering Intern  ·  Sept. 2010 - Aug. 2011
Dept. of Telecommunication Engineering
Hydro One Inc., Toronto, Ontario, Canada

Extra-Curricular Activities

Academic Reviewer  · 
Journal of Computers & Operations Research

Committee Chair  ·  Sept. 2017 - Aug. 2019
Committee Member  ·  2016 - present
Graduate Student Committee
Dept. of Mechanical, Industrial and Aerospace Engineer
Concordia University, Montr´eal, Quebec, Canada

Automation Coordinator  ·  2016-present
Creative Coordinator  ·  2016-present
The Operations Research Challenge (TORCH)
Concordia University, Montr´eal, Quebec, Canada
TORCH is an annual one-day competition for high school students to solve real-world problems in the field of operations research. The event is organized and hosted in Montr´eal, Toronto and Waterloo by graduate students from Concordia University, University of Toronto and University of Waterloo.

Clinic Exercise Volunteer  ·  Oct. 2010 - Aug. 2014
Research Volunteer  ·  Jun. 2012 - Feb. 2013
Cardiovascular Prevention and Rehabilitation Program
Toronto Rehabilitation Institute, Toronto, Ontario, Canada

Scholarship & Awards

Concordia Accelerator Award  ·  $5000  ·  2020
Concordia University, Montréal, Québec

Conference and Exposition Award  ·  $3000 (2018, 2019 )
Concordia University, Montréal, Québec

Concordia Merit Scholarship  ·  $10000  ·  May 2018 - April 2019
Concordia University, Montréal, Québec

The F.A. Gerard Prize  ·  Non-Monetary  ·  June 2018
Concordia University, Montréal, Québec
Awarded annually to the most deserving non-thesis master graduate Gina Cody School of Engineering and Computer Science

Best Paper Award  ·  Non-Monetary  ·  May 2018
O.R./M.S. Scientific Writing Student Competition, GERAD, Montréal, Québec

Power Corporation Of Canada Graduate Fellowship  ·  $5000  ·  May 2016 - April 2017
Concordia University, Montréal, Québec