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These including designing and constructing of an efficient deep artificial neural network for artistic style classification, semantic features defining and understanding through various deep learning methods, and design and training of the novel Creative Adversarial Models that can let machine produce creative contents by itself. Mr. Liu is a member of Center for Computational Biomedicine Imaging and Modeling (CBIM) and Art and Artificial Intelligence Laboratory (DigiHumanLab) at Rutgers. He has works and publications presented at the Inaugural Symposium on Institute of Visual Intelligence, ICCC-2017.
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IEEE/CVF Winter Conference on Applications of Computer Visionpp.5441-5451, (2024)
openalex(2024)
European Conference on Computer Visionpp.117-132, (2024)
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING, ICANN 2023, PT II (2023): 77-89
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