Yuankun Xue

I am a Machine Learning Engineer at LinkedIn. I am working on statistical modeling, data mining, recommendation, and search relevance solutions, directly impacting and fueling LinkedIn’s search relevance, ad targeting, information extraction, and recommendations. My academic and industrial skill sets mainly focus on Machine Learning, Statistics, Mathematical Modeling and Optimization: -Statistical machine learning (Bayesian Inference, Probabilistic Graphical Models, EM Framework, Sampling Thoery, Bayesian Neural Networks, HMMs, Gaussian Process, Mixture Models) and optimization thoery (Convex and Non-convex Optimization). -Supervised Learning (Regression, SVM, Kernel Learning, Tree Models, Boosting, Ensemble algorithms) and unsupervised learning (clustering, reinforcement learning) -Deep Learning (DNN, CNN, RNN, GAN) and its application to computer vision, natural language processing, representational learning (for recommender system, learning-to-rank and online scoring, query understanding) -Data Analysis and Mining Mathematical Skills (Principle Component Analysis, Independent Component Analysis, Time Series Analysis, Spectral Method for Complex Networks, Multifractal Analysis, Compressed Sensing, Causal and Statistical Inference, Dynamical Systems) I have numerous publications all in premier Conferences and Journals. Please refer to my personal website for the details of my research activities and publications. Personal site: yuankunxue.com Google Scholar site: goo.gl/8N4f7U