Affiliation	Graduate School of Science and Technology ―Doctor course 3rd year
	Team	Graphics Paradigms
	Research theme	Digital Museology Deep Learning-Based Material Synthesis Under Arbitrary Illumination
	E-mail	liang.yuanfj.ics.keio.ac.jp
	Website	LinkedIn

Self-introduction

I am currently a Ph.D. Candidate in the Graduate School of Science and Technology at Keio University under the supervisor of Prof. Issei Fujishiro. My research topic is Digtal Museology, seeking new paradigms in presenting realistic artifacts and paintings in an interactive virtual space.

Education

Sep. 2020 – March. 2024	Ph.D. in Information and Computer Science, Graduate School of Science and Technology, Keio University
Jul. 2015 – Jun. 2017	M.S. in Computer Science, Viterbi School of Engineering, University of Southern California
Sep. 2011 – Jun. 2015	B.E. in Software Engineering, Beijing University of Technology

Publications

Journals

1. Liang Yuan, Issei Fujishiro: “Multiview SVBRDF capture from unified shape and illumination,” Visual Informatics, September 2023, Vo. 7, No. 3, pp. 11-21, ISSN 2468-502X [doi: 10.1016/j.visinf.2023.06.006]. (PDF)
2. Liang Yuan, Dingkun Yan, Suguru Saito, Issei Fujishiro: “DiffMat: Latent Diffusion Models for Image-Guided Material Generation,” Visual Informatics, March 2024, Vol. 8, No. 1, pp. 6–14 ISSN 2468-502X [doi: 10.1016/j.visinf.2023.12.001]. (PDF)

Presentations

1. Liang Yuan, Issei Fujishiro: “Multiview SVBRDF capture from unified shape and illumination,” Computer Graphics International 2023, Shanghai, China, August 28–September 1, 2023.

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