Peng-Shuai Wang

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

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 Prof. 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 2017 to 2022. 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 2022.

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

News

Aug. 04, 2023: I have 3 papers conditionally accepted to SIGGRAPH Asia 2023.
Jul. 15, 2023: I have 1 paper accepted to ICCV 2023.
Jun. 01, 2023: I have 1 paper on surface reconstruction accepted to TVCG.
Mar. 25, 2023: I have 2 papers conditionally accepted to SIGGRAPH 2023, including one single-author paper.

Publications

	Learning the Geodesic Embedding with Graph Neural Networks Bo Pang, Zhongtian Zheng, Guoping Wang, and Peng-Shuai Wang (*Joint first authors) ACM Transactions on Graphics (SIGGRAPH Asia), 42(6), 2023 `Code` `Arxiv`
	Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian Zixiong Wang, Yunxiao Zhang, Rui Xu, Fan Zhang, Peng-Shuai Wang, Shuangmin Chen, Shiqing Xin, Wenping Wang, and Changhe Tu ACM Transactions on Graphics (SIGGRAPH Asia), 42(6), 2023 `Code` `Arxiv`
	SinMPI: Novel View Synthesis from a Single Image with Expanded Multiplane Images Guo Pu, Peng-Shuai Wang, and Zhouhui Lian SIGGRAPH Asia (Conference track), 2023 `Code` `Arxiv`
	Randomized Quantization for Data Agnostic Representation Learning Huimin Wu, Chenyang Lei, Xiao Sun, Peng-Shuai Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, and Zhirong Wu (*Joint first authors) International Conference on Computer Vision (ICCV), 2023 `Code` `Arxiv`
	Neural-IMLS: Learning Implicit Moving Least-Squares for Surface Reconstruction from Unoriented Point clouds Zixiong Wang, Pengfei Wang, Peng-Shuai Wang, Qiujie Dong, Junjie Gao, Shuangmin Chen, Shiqing Xin, Changhe Tu, and Wenping Wang IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023 `Code` `Arxiv`
	OctFormer: Octree-based Transformers for 3D Point Clouds Peng-Shuai Wang ACM Transactions on Graphics (SIGGRAPH), 42(4), 2023 `Code` `Slides` `Arxiv` `Project`
	Locally Attentional SDF Diffusion for Controllable 3D Shape Generation Xin-Yang Zheng, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu, and Heung-Yeung Shum ACM Transactions on Graphics (SIGGRAPH), 42(4), 2023 `Code` `Arxiv` `Project`
	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` `Project`
	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` `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` `Project`
	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` `Project`
	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` `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`
	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 Jeffry D. Madura Memorial Graphics Prize `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` `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`
	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 2017 to 2022 `Code` `Code (Stale)` `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`

Teaching

The Frontiers of Geometry Computing (Undergraduate course, 2023 Spring)
Computer Vision (Undergraduate course, 2023 Fall)
Programming in Artificial Intelligence (Undergraduate course, 2023 Fall)

Team

Graduate Students in my lab:
Si-Tong Wei (Ph.D. candidate, 2024)

Research Interns closely collaborating with me for more than 6 months:
Bo Pang (Ph.D. candidate, Peking University, 2022/10 - now)
Zhongtian Zheng (Master candidate, Peking University, 2022/10 - now)

Xin-Yang Zheng (Ph.D. candidate, Tsinghua University, 2021/07 - 2023/01)
Yu-Qi Yang (Ph.D. candidate, Tsinghua University, 2021/01 - 2022/02)

Services

Paper Reviewer: SIGGRAPH, SIGGRAPH Asia, TOG, Pacific Graphics, Eurographics, Computers & Graphics, CAD, CAG-D, TVCG, CGF, TIP, TPAMI, IJCV, CVPR, ICCV, ECCV
Conference Program Committee: Eurographics 2024, CVM 2023/2024, SMI 2021/2022/2023, GDC 2022/2023, CAD & Graphics 2023, CGI 2023, 3DV 2020

Awards

AI 2000 Most Influential Scholar Award Honorable Mention (2022, 2023)
Outstanding Ph.D Graduate of Beijing (2018)
National Scholarship for Graduate Students (2017)
"12.9 Scholarship" of Tsinghua University (2016)
Scholarship of Tsinghua University for Excellence in Academic Performance (2015, 2014, 2012, 2011, 2010)