September 5, 2023
Welcome Hunter (Yifan) Huant to join Dr. Xiang’s Research Group
Dr. Xiang’s research lab welcomes Hunter Huang to join the group.
Learn MoreAugust 7, 2023
Paper Accepted for Publication in the IISE Transactions
The paper “Bayesian Prognosis Analysis of Human Papillomavirus-Associated Head and Neck Cancer using Hierarchical Dirichlet Process Mixture Models” by Ying Liao, Ning Dong, and Yisha Xiang is accepted for publication in the IISE Transactions. Congratulations!
Learn MoreJuly 20, 2023
Presented a Seminar in the IE Dept, Tsinghua University
I gave an in-person seminar in the IE department, Tsinghua University. It is an honor to present at this most prestigious university in China. Thank you, Prof. Kaibo Wang, for your invitation and hospitality during my visit.
Learn MoreJune 10, 2023
2023 ICQSR conference
The first INFORMS Conference on Quality, Statistics, and Reliability (ICQSR) is held in Raleigh, North Carolina on June 06 – 08, 2023. I served as the judge for the Best Poster Competition and organized a session. The following presentation was given there. Distributional Robust Partially Observable Markov Decision Processes...
Learn MoreJune 5, 2023
Students Received NSF Travel Scholarships to Attend QPRC
Saunak Panda and Tong Li received prestigious NSF travel scholarships to attend the 39th Quality and Productivity Research Conference (QPRC). They did the following poster presentations at the QPRC. Dynamic resource matching in manufacturing using deep reinforcement learning by Saunak Panda, Yisha Xiang, and Ruiqi Liu. Distributionally Robust Partially...
Learn MoreMay 30, 2023
Ying Successfully Defended Her Dissertation
Congratulations to Dr. Ying (Leticia) Liao who successfully defended her PhD on May 30th. The title of her dissertation was “Statistical Machine Learning on Time Series with Applications to Manufacturing and Healthcare”. Dr. Liao has received multiple offers from top universities in China and will be joining the Business School...
Learn MoreMay 24, 2023
2023 IISE Annual Conference
The IISE (IISE Annual Conference and Exposition) was held in New Orleans, LA. I served as the co-track chair for the 2023 IISE Annual Conference QCRE track and chaired two sessions: QCRE Best Track Paper Competition and NSF Proposal Writing Workshop. We made the following presentation. A Statistical Online...
Learn MoreMarch 4, 2023
Paper Accepted for Publication in the Leading Bioinformatics Journal
The paper “DeepMiceTL: a deep transfer learning based prediction of mice cardiac conduction diseases using early electrocardiograms” by Ying Liao, Yisha Xiang, Mingjie Zheng, and Jun Wang is accepted for publication in Briefings in Bioinformatics, a leading bioinformatics journal with an impact factor of 9.5. In this study, we collaborated...
Learn MoreJanuary 5, 2023
New AMI Grant
My proposal, “Statistical Machine Learning Methods for Analysis and Control of the HTS Manufacturing Process,” was funded for $34,971 by the Advanced Manufacturing Institute (AMI). The goal is to develop novel machine learning methods to control the manufacturing process of high-temperature superconductors (HTS). Thank you, AMI, for your support.
Learn MoreJanuary 4, 2023
Paper Accepted for Publication in the EJOR
The paper “Data-Driven Remanufacturing Planning with Parameter Uncertainty” by Zhicheng Zhu, Yisha Xiang, Yue Shi, and Ming Zhao is accepted for publication in the European Journal of Operational Research. We proposed a novel data-driven modeling framework for remanufacturing planning with parameter uncertainties. We model the remanufacturing planning problem as...
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