Peng-Shuai Wang （王鹏帅） Assistant Professor, Ph.D. Advisor Wangxuan Institute of Computer Technology Peking University Address: Haidian District, Beijing, China Email: wangps AT hotmail.com [Google Scholar]        [Github]

Biography

I am currently a tenure-track Assistant Professor at Peking University. Before joining Peking University in 2022, I was a senior researcher in the Internet Graphics group led by Dr. Xin Tong at Microsoft Research Asia, where I was also a research intern from 2014 to 2018, mentored by Dr. Yang Liu. I got my Ph.D. degree from the Institute for Advanced Study at Tsinghua University in 2018, under the supervision of Dr. Baining Guo. I received my Bachelor's degree from the Department of Automation at Tsinghua University in 2013.

My research interest includes deep learning, geometry processing and computer graphics. My paper on Octree-based Sparse Convolutional Networks is one of the Top-5 Most Cited Papers in ACM Transactions on Graphics from 2016 to 2021. I am awarded the AI 2000 Most Influential Scholar Award Honorable Mention by AMiner in recognition of my contributions in the field of Computer Graphics between 2012 and 2021.

I am always actively recruiting Ph.D. students and research interns! Welcome to contact me with your detailed CV!

News

• Mar. 25, 2023: I have two papers conditionally accepted to SIGGRAPH 2023, including one single-author paper.
• Sep. 1, 2022: I join Peking University as an Assistant Professor.
• July. 1, 2022: Our paper on SDF-StyleGAN is accepted to SGP.

Professional Activities

• Paper Reviewer: SIGGRAPH, SIGGRAPH Asia, Pacific Graphics, Eurographics, Computers & Graphics, CAD, CAG-D, TVCG, CGF, TIP, TPAMI, IJCV, CVPR, ICCV, ECCV
• Conference Program Committee: 3DV 2020, SMI 2021/2022/2023, GDC 2022/2023, CVM 2023, CAD & Graphics 2023, CGI 2023

Intern Students

• Yu-Qi Yang (Ph.D. candidate from Tsinghua University, 2021.1--2022.2)

Publications

	SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation Xin-Yang Zheng, Yang Liu, Peng-Shuai Wang, and Xin Tong Computer Graphics Forum (SGP), 2022 [Code] [Arxiv (2022.06) ] [Project page]
	Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations Peng-Shuai Wang, Yang Liu and Xin Tong ACM Transactions on Graphics (SIGGRAPH), 41(4), 2022 [Code] [Slides] [Arxiv (2022.05) ] [Project]
	Semi-Supervised 3D Shape Segmentation with Multilevel Consistency and Part Substitution Chun-Yu Sun, Yu-Qi Yang, Hao-Xiang Guo, Peng-Shuai Wang, Xin Tong, Yang Liu and Heung-Yeung Shum Computational Visual Media, 2022 [Code] [Arxiv (2022.04) ] [Project page]
	Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks Yu-Qi Yang, Peng-Shuai Wang, and Yang Liu International Conference on Computer Vision (ICCV), 2021 [Code] [Arxiv (2021.08)]
	Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields Peng-Shuai Wang, Yang Liu, Yu-Qi Yang, and Xin Tong International Joint Conferences on Artificial Intelligence (IJCAI), 2021 [Code] [Slides] [Arxiv (2021.06)] [Project]
	Deep Implicit Moving Least-Squares Functions for 3D Reconstruction Shi-Lin Liu, Hao-Xiang Guo, Hao Pan, Peng-Shuai Wang, Xin Tong, and Yang Liu Computer Vision and Pattern Recognition (CVPR), 2021 [Code] [Arxiv (2021.03)]
	OctSurf: Efficient hierarchical voxel-based molecular surface representation for protein-ligand affinity prediction Qinqing Liu , Peng-Shuai Wang, Chunjiang Zhu, Blake Blumenfeld Gaines, Tan Zhu Jinbo Bi, and Minghu Song Journal of Molecular Graphics and Modelling, 2021 [Code] [Paper]
	Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination Peng-Shuai Wang, Yu-Qi Yang, Qian-Fang Zou, Zhirong Wu, Yang Liu and Xin Tong AAAI Conference on Artificial Intelligence (AAAI), 2021 [Code] [Slides] [Arxiv (2020.08)] [Project]
	Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion Peng-Shuai Wang, Yang Liu and Xin Tong Computer Vision and Pattern Recognition (CVPR) Workshops, 2020 [Code] [Arxiv (2020.06)]
	Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes Peng-Shuai Wang, Chun-Yu Sun, Yang Liu and Xin Tong ACM Transactions on Graphics (SIGGRAPH Asia), 37(6), 2018 [Code] [Slides] [Project] [DOI]
	O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis Peng-Shuai Wang, Yang Liu, Yu-Xiao Guo, Chun-Yu Sun, and Xin Tong ACM Transactions on Graphics (SIGGRAPH), 36(4), 2017 Top-5 Most Cited Papers in ACM Transactions on Graphics from 2016 to 2021 [Code] [Slides] [Project] [DOI]
	Mesh Denoising via Cascaded Normal Regression Peng-Shuai Wang, Yang Liu, and Xin Tong ACM Transactions on Graphics (SIGGRAPH Asia), 35(6), 2016 [Code] [Data] [Project] [DOI]
	Rolling Guidance Normal Filter for Geometric Processing Peng-Shuai Wang, Xiao-Ming Fu, Yang Liu, Xin Tong, Shi-Lin Liu and Baining Guo ACM Transactions on Graphics (SIGGRAPH Asia), 34(6), 2015 [EXE] [Data] [Video] [DOI]

Honors and Awards