INFORMS Open Forum

18th INFORMS DMDA Workshop Best Paper Competition Finalists

  • 1.  18th INFORMS DMDA Workshop Best Paper Competition Finalists

    Posted 09-18-2023 11:24

    Dear DM members,

    We are pleased to announce the finalists for the 18th INFORMS DMDA Workshop Best Paper Competition Award. The finalists were selected from a pool of high-quality submissions, with each submission was blindly reviewed and scored by at least three reviewers. The finalists are: 

    Applied Track (Oct.14, 9:40am-11:10am, Room 127 A|B)

    • "A Locational Demand Model for Bike-Sharing" by Ang Xu (University of California, Berkeley), Chiwei Yan, Chong Yang Goh, Patrick Jaillet
    • "Biologically-informed deep neural networks for precision medicine of brain cancer" by Hairong Wang (Georgia Institute of Technology), Michael G Argenziano, Hyunsoo Yoon, Deborah Boyett, Akshay Save, Petros Petridis, William Savage, Pamela Jackson, Andrea Hawkins-Daarud, Nhan Tran, Leland Hu, Osama Al Dalahmah, Jeffrey N. Bruce, Jack Grinband, Kristin R Swanson, Peter Canoll, Jing Li
    • "Thompson Sampling based Partially Observable Online Monitoring Approach for Large Dynamic Networks" by Jie Guo (Tsinghua University), Chen Zhang
    • "Corrected Wind Speed Prediction via Multi-resolution Kriging" by Zheng Dong (Georgia Institute of Technology), Shixiang Zhu, Hanyu Zhang, Yao Xie, Pascal Van Hentenryck
    • "UONN-ESI: Extended Brain Sources Estimation via Unrolled Optimization Neural Networks" Meng Jiao (Stevens Institute of Technology), Shihao Yang, Xiaochen Xian, Guihong Wan, Boyu Wang, Yu Zhang, Hai Sun, Feng Liu 

    Theoretical Track (Oct.14, 2:50pm-4:20pm, Room 127 A|B)

    • "Kernel Debiased Plug-in Estimation" by Brian Cho (Cornell University), Kyra Gan, Ivana Malenica, Yaroslav Mukhin
    • "Entropic Regularization for Adversarial Robust Learning" by Jie Wang (Georgia Institute of Technology), Yifan Lin, Song Wei, Rui Gao, Yao Xie
    • "Bayesian Risk-Averse Q-Learning with Streaming Observation" by Yuhao Wang (Georgia Institute of Technology), Enlu Zhou
    • "Nonprogressive Diffusion on Social Networks: Approximation and Applications" by Yunduan Lin (University of California, Berkeley), Heng Zhang, Renyu Zhang, Zuo-Jun Max Shen

    The finalists will present their work at the 18th INFORMS DMDA Workshop on Oct.14, 2023 in the presence of a panel of judges. The winner will be announced in the DM town hall meeting. You are welcome to attend the DMDA workshop and town hall meeting. 

    Congratulations to all the finalists! 

    18th INFORMS DMDA Workshop Best Paper Competition Committee:

    Michael Lash (University of Kansas, email:

    Ying Lin (University of Houston, email:

    Ying Lin
    Associate Professor
    Department of Industrial Engineering
    University of Houston
    Houston, TX