πŸ§β€β™‚οΈ Biography

I’m Shidong Wang, a PhD Student at the Visualization and Multimedia Lab (VMML), Department of Informatics, University of Zurich (UZH), under the supervision of Prof. Dr. Renato Pajarola. My research lies at the intersection of artificial intelligence (AI) and computer graphics, with a focus on deep generative modeling and computational design. I am particularly interested in controllable generative models for layout design problems such as floor plan generation and vector graphics synthesis.

πŸ“ Publications

TVCG
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Eliminating Rasterization: Direct Vector Floor Plan Generation with DiffPlanner

Shidong Wang* and Renato Pajarola

IEEE Transactions on Visualization and Computer Graphics, 31(10): 7906-7922, 2025.(TVCG)

Paper | Dataset | Code

COMIND
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A controllable generative design framework for residential communities with multi-scale architectural representations

Shidong Wang* and Renato Pajarola

Computers in Industry, 173(104367): 1-11, 2025. (COMIND)

Paper | Dataset | Code

UCLIM
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Understanding the origins of urban particulate matter pollution based on high-density vehicle-based sensor monitoring and big data analysis

Yiheng Liang, Xiaohua Wang, Zhongzhen Dong, Xinfeng Wang*, Shidong Wang, Shuchun Si, Jing Wang, Hai-Ying Liu, Qingzhu Zhang, and Qiao Wang

Urban Climate, 59(102241): 1-13, 2025. (UCLIM)

Paper

TVCG
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ActFloor-GAN: Activity-Guided Adversarial Networks for Human-Centric Floorplan Design

Shidong Wang, Wei Zeng*, Xi Chen, Yu Ye, Yu Qiao, and Chi-Wing Fu

IEEE Transactions on Visualization and Computer Graphics, 29(3): 1610-1624, 2023. (TVCG)

Paper | Dataset | Code