About me

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  • I received my Bachelor’s in Hebei University of Technology, 2009, Tianjin, China; I received my Master’s and Ph.D Degrees in Tianjin University, 2016, Tianjin, China; I am currently an associate researcher at Institute of Information Engineering, Chinese Academy of Sciences.

  • My research interests lie in the general area of machine learning, particularly in large scale machine learning, autoML, kernel method and model selection.

Recent News

  • Jun 12, 2019. “A paper Kernel Stability for Model Selection in Kernel-based Algorithms” was accepted at IEEE Transactions Cybernetics, 2019.
  • May 15, 2019. A paper titled “Multi-Class Learning using Unlabeled Samples: Theory and Algorithm” was accepted at IJCAI 2019.
  • May 15, 2019. A paper titled “Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis” was accepted at IJCAI 2019.
  • Apr 8,2019. A paper titled “Learning Structural Representations via Dynamic Object Landmarks Discovery for Sketch Recognition and Retrieval” was accepted at IEEE Transactions on Image Processing (TIP), 2019.
  • Feb 13, 2019. A paper titled “Efficient Cross-Validation for Semi-Supervised Learning” was submitted to arXiv, 2019.”
  • Jan 16, 2019. A paper titled “Fast Cross-Validation for Kernel-based Algorithms” was publiched online at T-PAMI.
  • Dec 25, 2018. A paper titled “Max-Diversity Distributed Learning: Theory and Algorithms” was submitted to arXiv, 2018.
  • Nov 1, 2018. A paper titled “Approximate Kernel Selection with Strong Approximate Consistency” was accepted at AAAI 2019.
  • Nov 1, 2018. A paper titled “Linear Kernel Tests via Empirical Likelihood for High Dimensional Data” was accepted at AAAI 2019.
  • Sep 5, 2018. A paper titled “Multi-Class Learning: From Theory to Algorithm” was accepted at NIPS 2018.
  • Jan 20, 2018. A paper titled “Fast Cross Validation” was accepted at IJCAI 2018.