My focus is on statistical machine learning and deep generative models, especially automatic structured representation learning by combining deep learning, probabilistic graphical models and information theory.
Variational Autoencoders with Jointly Optimized Latent Dependency Structures [coming soon] International Conference on Learning Representations '19 Jiawei He, Yu Gong, Joseph Marino, Greg Mori, Andreas Lehrmann
Informed Priors for Deep Representation Learning [pdf][poster] Symposium on Advances in Approximate Bayesian Inference '18 Judith Butepage, Jiawei He, Cheng Zhang, Leonid Sigal, Greg Mori, Stephan Mandt
Variational Latent Dependency Learning [pdf][poster] Bayesian Deep Learning '18 (NeurIPS workshop) Jiawei He*, Yu Gong*, Joseph Marino, Greg Mori, Andreas Lehrmann
Probabilistic Video Generation using Holistic Attribute Control [pdf] European Conference on Computer Vision '18 Jiawei He, Andreas Lehrmann, Joseph Marino, Greg Mori, Leonid Sigal
Generic Tubelet Proposals for Action Localization [pdf] Winter Conference on Applications of Computer Vision '18 Jiawei He, Zhiwei Deng, Moustafa Ibrahim, Greg Mori
Hand Gesture Recognition Using Rapid Transform (RT) Master Degree Thesis Jiawei He, Kai-Kuang Ma
I like art in all forms, especially photography and bartending. See here for some of my photographs. If you want to book me for photography or bartending, please email firstname.lastname@example.org
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