1. Random projection forests

    -- A versatile tool for data mining, statistical inference and machine learning
    -- Talk given at UMass Medical School, FHCRC, 2018 IEEE Big Data (Seattle), 2019 AI Workshop at Harvard CMSA, NESS 2019, 2019 IMS China Conference (Dalian), SJTU.

2. Classification under data comtamination with applications

    -- Impact of data contamination to classification and a few applications
    -- Talk given at WalmartLabs, Adobe, IIT, WPI, 2016 ICSA China Conference (Shanghai) etc.

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Introductory talks to general audience

1. Artificial intelligence: perspectives from statistics and computation

    -- A gentle introduction towards understanding advances in artificial intelligence from perspectives of statistics and computation
    -- Talk given at Shanghai Jiao Tong University (delivered online), 2019.

2. Data science in e-commerce

    -- An introduction to data science applications in e-commerce, in particular the recommendation engine design
    -- Talk given at annual ICSA Applied Statistics Symposium, New Brunswick, NJ, 2018.

3. Introduction to deep learning

    -- An introduction to deep learning on the idea, evolution, understanding and convolutional network
    -- Talk given at Tsinghua University.

4. Invitation to data science

    -- An introduction to data science as well as the Data Science program at UMassD
    -- Talk given at Shanghai Jiao Tong University, Xiamen University, Dali University etc.