Shenzhen UniversityI am a Ph.D. student in the VCC group at the College of Computer Science and Software Engineering (CSSE), Shenzhen University, where I am fortunate to be advised by Associate Professor Pengfei Xu.
My research interests primarily lie in deep learning generative models and latent space exploration, with a special focus on 3D and vector shapes. Currently, I am actively exploring advanced techniques such as diffusion models and flow matching to tackle complex generation tasks, including multi-level representation and image-to-vector sketch synthesis.
Education
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Shenzhen UniversityComputer Science and Technology
Ph.D. Student2025 - present -
Shenzhen UniversityM.S. in Computer Science and Technology2023 - 2025
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Shanghai Maritime UniversityB.S. in Computer Science and Technology2019 - 2023
Selected Publications (view all )
StrokeFusion: Vector Sketch Generation via Joint Stroke-UDF Encoding and Latent Sequence Diffusion
Jin Zhou, Yi Zhou, Hongliang Yang, Pengfei Xu#, Hui Huang (# corresponding author)
Annual AAAI Conference on Artificial Intelligence 2026
StrokeFusion: Vector Sketch Generation via Joint Stroke-UDF Encoding and Latent Sequence Diffusion
Jin Zhou, Yi Zhou, Hongliang Yang, Pengfei Xu#, Hui Huang (# corresponding author)
Annual AAAI Conference on Artificial Intelligence 2026
SPLICE: Part-Level 3D Shape Editing from Local Semantic Extraction to Global Neural Mixing
Jin Zhou, Hongliang Yang, Pengfei Xu#, Hui Huang (# corresponding author)
Proceedings of Pacific Graphics 2025
SPLICE: Part-Level 3D Shape Editing from Local Semantic Extraction to Global Neural Mixing
Jin Zhou, Hongliang Yang, Pengfei Xu#, Hui Huang (# corresponding author)
Proceedings of Pacific Graphics 2025