I received my Ph.D. in Applied Mathematics from Zhejiang University in 2013. Before joining at the Laboratory for Information and Inference Systems in the École Polytechnique Fédérale de Lausanne (EPFL) in June 2017, I was a postdoc at the City University of Hong Kong and the Italian Institue of Technology.
Publications with LIONS (most recent)
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral AlgorithmsJournal of Machine Learning Research. 2020. Vol. 21, num. 147, p. 1-63.
Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random ProjectionsJournal of Machine Learning Research. 2020. Vol. 21, num. 20, p. 1-44.
Optimal Convergence for Distributed Learning with Stochastic Gradient Methods and Spectral Algorithms
Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods2018-06-08. 35th International Conference on Machine Learning, Stockholm, Sweden, July 10 -15, 2018.
Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces2018-03-11. 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 10-15, 2018.
Chemical machine learning with kernels: The key impact of loss functions