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    De Wang

    Perception@Argo AI

    De Wang is an Artificial Intelligence/Machine Learning Researcher with a Ph.D. in Computer Science from The University of Texas at Arlington.

    De Wang has industry exposure in high-profile research labs and early-stage startups, with a strong publication record in top conferences.

    Specializing in deep learning, statistical machine learning, and various machine learning paradigms, De Wang has a keen interest in AI, startups, and AI startup ventures.

    Research interests include Distributional Representation Learning, Convolutional Neural Network, Recurrent Neural Network, Model Distillation, Architecture Design, GANs, Sparse Methods, Spectral Methods, and much more.

    Proficient in a variety of programming languages such as C, C++, JAVA, Python, and tools like TensorFlow, PyTorch, and Spark, De Wang's expertise extends to multiple domains including image, tabular, graph, text, and time series data.

    De Wang
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    Location

    Pittsburgh, Pennsylvania