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Min Shi, Ph.D.

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Biography
Florida Atlantic University , FL, USAPhD08/2020Computer and Information Sciences
Washington University in St. Louis, MO, USAResearch Fellow03/2022Bioinformatics
Mass Eye and Ear, Harvard Medical School, MA, USAResearch FellowpresentBiomedical Engineering

Overview

Bibliographic
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Shi M, Wilson DA, Zhu X, Huang Y, Zhuang Y, Liu J, Tang Y. Evolutionary Architecture Search for Graph Neural Networks. Knowledge Based Systems. 2022; 247. View Publication.
  2. Jingyu Xiang, Mijia Lu, Shi M, Xiaogang Cheng, Kristin Kwakwa, Jennifer Davis, Xinming Su, Suzanne Bakewell, Yuexiu Zhang, Francesca Fontana, Yalin Xu, Deborah Veis, John DiPersio, Lee Ratner, Ralph Sanderson, Alessandro Noseda, Shamim Mollah, Jianrong Li, Katherine Weilbaecher. Heparanase Blockade as a Novel Dual-Targeting Therapy for COVID-19. Journal of Virology. 2022. View Publication.
  3. Shi M, Y Tang, X Zhu, Zhuang Y, Lin M, J Liu. Feature-attention graph convolutional networks for noise resilient learning. IEEE Transactions on Cybernetics. 2022; 13. View Publication.
  4. Shi M, Yu Huang, Xingquan Zhu, Yufei Tang, Yuan Zhuang, Jianxun Liu. GAEN: Graph Attention Evolving Networks. International Joint Conference on Artificial Intelligence (IJCAI-21). 2021. View Publication.
  5. Shi M, Yufei Tang, Xingquan Zhu. Topology and Content Co-Alignment Graph Convolutional Learning. IEEE Transactions on Neural Networks and Learning Systems. 2021. View Publication.
  6. Jingyu Xiang, Shi M, Mark A Fiala, Feng Gao, Michael P Rettig, Geoffrey L Uy, Mark A Schroeder, Katherine N Weilbaecher, Keith E Stockerl-Goldstein, Shamim Mollah, John F DiPersio. Machine learning–based scoring models to predict hematopoietic stem cell mobilization in allogeneic donors. Blood advances. 2021. View Publication.
  7. Shi M, Yufei Tang, Xingquan Zhu, Jianxun Liu. Topic-aware web service representation learning. ACM Transactions on the Web. 2021.
  8. J Huai, Y Lin, Y Zhuang, Shi M. Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM. The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21). 2020. View Publication.
  9. Shi M, Yufei Tang, Xingquan Zhu, Jianxun Liu. Multi-Label Graph Convolutional Network Representation Learning. IEEE Transactions on Big Data. 2020. View Publication.
  10. Shi M, Yufei Tang, Xingquan Zhu, David Wilson, Jianxun Liu. Multi-Class Imbalanced Graph Convolutional Network Learning. International Joint Conference on Artificial Intelligence (IJCAI-20). 2020. View Publication.
  11. Shi M, Yufei Tang, Xingquan Zhu. MLNE: Multi-Label Network Embedding. IEEE Transactions on Neural Networks and Learning Systems. 2019. View Publication.
  12. Yuan Zhuang, Qin Wang, Shi M, Pan Cao, Longning Qi, Jun Yang. Low-power centimeter-level localization for indoor mobile robots based on ensemble Kalman smoother using received signal strength. IEEE Internet of Things Journal. 2019. View Publication.
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.