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LinglongKong_headshot_BW

Linglong Kong

Appointment

Canada CIFAR AI Chair

Pan-Canadian AI Strategy

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University of Alberta

Amii

Google Scholar

About

Linglong Kong is a Canada CIFAR AI Chair at Amii. He is an associate professor in the Department of Mathematical and Statistical Sciences at the University of Alberta, where he is a Canada Research Chair in Statistical Learning.

Kong’s research interests include functional and neuroimaging data analysis, statistical machine learning, robust statistics and quantile regression, and artificial intelligence in smart health.

Awards

  • Canada Research Chair in Statistical Learning, University of Alberta, 2020
  • Representative to Future Leaders Program of Japan's STS Forum, NSERC, 2018
  • Great Supervisor Award, University of Alberta, 2018
  • Josephine Mitchell Mentoring Award, University of Alberta, 2017
  • Research Fellow, Stat and Applied Math Sciences Institute (SAMSI), 2015

Relevant Publications

  • Wang, Y., Sun, K., Liu, Y., Zhao, Y., Pan, B., Jui, S., Jiang, B., and Kong, L. (2021). Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization, Proceeding of the 35th Conference on Neural Information Processing Systems (NeurIPS 2021).
  • Han, P., Kong, L., Zhao, J. and Zhou, X. (2019). A General Framework for Quantile Estimation with Incomplete Data. Journal of Royal Statistical Society: Series B. Vol. 81, P. 2, 305-333.
  • Mavrin, B., Zhang, S., Yao, H., Kong, L.., Wu, K., and Yu, Y. (2019). Distributional Reinforcement Learning for Efficient Exploration, Proceedings of the Thirty-sixth International Conference on Machine Learning (ICML-19).
  • Zhang, L., Cobza, B., Wilman, A. And Kong, L. (2018). Significant Anatomy Detection through Sparse Classification: A Comparative Study. IEEE Transition in Medical Imaging, Vol. 37, No. 1, 128-137.
  • Zhu, H., Fan, J. and Kong, L. (2014). Spatially Varying Coefficient Model for Neuroimaging Data with Jump Discontinuities. Journal of the American Statistical Association, Vol. 109, No. 507, 1084-1098.

Institution

Amii

University of Alberta

Department

Mathematical and Statistical Sciences

Education

  • PhD (Statistics), University of Alberta
  • MSc (Statistics), Peking University
  • BSc (Probability and Statistics), Beijing Normal University

Country

Canada

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