Baoquan's portrait

Baoquan Chen (陈宝权)

Associate Dean of the School of Artificial Intelligence, Peking University.


Past positions:
Executive director of the Center on Frontiers of Computing Studies, PKU
Founding Director of the Interdisciplinary Research Center, SDU
Founding Director of the Visual Computing Research Center, SIAT
Deputy Director of the Institute of Advanced Computing and Digital Engineering (IACDE)

Email: baoquan At pku.edu.cn : http://weibo.com/baoquanchen
Address: Rm 2216, Li Ke Building #2, Peking University, 5 Yiheyuan Road, Haidian District, Beijing 100871, P.R. China

Open positions available (researchers, PostDocs, graduate students, interns). Contact me for details.

Research Interests
General Interests: Computer Graphics and Visualization
Specific Interests: Large Environment Acquisition, Accelerated Rendering, Antialiasing, Volume Visualization
Applications: Scientific & Biomedical Visualization, Digital Architecture Design, Art and Entertainment

Portrait
Fullface

News
  • 11.1: talk by Dr. Zhengqi Li from Google DeepMind, Modeling Motion in the Wild.
  • 10.17: talk by Prof. Nils Thuerey from Technical University of Munich, Diffusion Flow Matching and ProbabilisticLearned Solvers.
  • 10.11: talk by Xiaoliang Dai from Meta GenAI, Foundation Models for Image and Video Generation.
  • 9.27: talk by Tenglong Ao from Peking University, Interactive Video Model.
  • 9.20: talk by Dr. Lan Xu from ShanghaiTech University, Gen-AI and Neural Digital Humans.
  • 8.28: talk by Dr. Jiahui Huang from NVIDIA Toronto AI Lab, 3D Reconstruction and Generation with Sparse Voxel Hierarchies: From Infrastructure to Applications.
  • 8.20: talk by Huan Ling from the University of Toronto, Go beyond pixels: From Video Diffusion Models to 4D Dynamic Content Creation.
  • More
Research

ORCID:0000-0003-4702-036X
Full list of publications

Recent publications

  • Baoquan Chen, Zhouchen Lin, Peng Xi, Yebin Liu, Xiaodian Chen. Embodied computational imaging: a new paradigm for observing and analyzing spatiotemporally ultrasensitive phenomena at multiple scales. Science China Information Sciences 2024.
  • Xingyu Ni, Ruicheng Wang, Bin Wang, Baoquan Chen. An Induce-on-Boundary Magnetostatic Solver for Grid-Based Ferrofluids. ACM Transactions on Graphics (Proceedings of SIGGRAPH) 2024.
  • Ningxiao Tao, Liangwang Ruan, Yitong Deng, Bo Zhu, Bin Wang, Baoquan Chen. A Vortex Particle-on-Mesh Method for Soap Film Simulation. ACM Transactions on Graphics (Proceedings of SIGGRAPH) 2024.
  • Zeyi Zhang, Tenglong Ao, Yuyao Zhang, Qingzhe Gao, Chuan Lin, Baoquan Chen, Libin Liu. Semantic Gesticulator: Semantics-Aware Co-Speech Gesture Synthesis. ACM Transactions on Graphics (Proceedings of SIGGRAPH) 2024.
  • Heyuan Yao, Zhenhua Song, Yuyang Zhou, Tenglong Ao, Baoquan Chen, Libin Liu. Moconvq: Unified physics-based motion control via scalable discrete representations. ACM Transactions on Graphics (Proceedings of SIGGRAPH) 2024.
  • Yuanxing Duan, Fangyin Wei, Qiyu Dai, Yuhang He, Wenzheng Chen, Baoquan Chen. 4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes. ACM Transactions on Graphics (Proceedings of SIGGRAPH) 2024.
  • Yujie Wang, Xuelin Chen, Baoquan Chen. SinGRAV: Learning a Generative Radiance Volume from a Single Natural Scene. Journal of Computer Science and Technology 2024.
  • Yingda Yin, Yuzheng Liu, Yang Xiao, Daniel Cohen-Or, Jingwei Huang, Baoquan Chen. SAI3D: Segment Any Instance in 3D Scenes. CVPR 2024.
  • Hongda Jiang, Xi Wang, Marc Christie, Libin Liu, Baoquan Chen. Cinematographic Camera Diffusion Model. Eurographics 2024.
  • Yimo Yan, Chao Song, Zaiyi Shen, Yuechen Zhu, Xingyu Ni, Bin Wang, Michael G. Christiansen, Stavros Stavrakis, Juho S. Lintuvuori, Baoquan Chen, Andrew deMello, Simone Schuerle. Programming structural and magnetic anisotropy for tailored interaction and control of soft microrobots. Communications Engineering (Nature Communications) 2024.
  • Weiyu Li, Xuelin Chen, Peizhuo Li, Olga Sorkine-Hornung, Baoquan Chen. Example-based Motion Synthesis via Generative Motion Matching. ACM Transactions on Graphics (Proceedings of SIGGRAPH) 2023.
  • Yingda Yin, Yang Wang, He Wang, Baoquan Chen. A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation. ICLR 2023.
  • Tenglong Ao, Qingzhe Gao, Yuke Lou, Baoquan Chen, Libin Liu. Rhythmic Gesticulator: Rhythm-Aware Co-Speech Gesture Synthesis with Hierarchical Neural EmbeddingsACM Transactions on Graphics (Proceedings of SIGGRAPH Asia) 2022 (Best Paper Award).
  • Heyuan Yao, Zhenhua Song, Baoquan Chen, Libin Liu. ControlVAE: Model-Based Learning of Generative Controllers for Physics-Based CharactersACM Transactions on Graphics (Proceedings of SIGGRAPH Asia) 2022.
  • Jingrui Xing, Liangwang Ruan, Bin Wang, Bo Zhu, Baoquan Chen. Position-based Surface Tension FlowACM Transactions on Graphics (Proceedings of SIGGRAPH Asia) 2022.
  • Xuwen Chen, Xingyu Ni, Bo Zhu, Bin Wang, Baoquan Chen. Simulation and optimization of magnetoelastic thin shellsACM Transactions on Graphics (Proceedings of SIGGRAPH) 2022.
  • Yujie Wang, Praneeth Chakravarthula, Qi Sun, Baoquan Chen. Joint neural phase retrieval and compression for energy- and computation-efficient holography on the edgeACM Transactions on Graphics (Proceedings of SIGGRAPH) 2022 (Best Paper Honorable Mention).

中文文章​

以上文章除特别标明,均发表于《中国计算机学会通讯》

新闻报道

Funding provided by: NSF, ARL, ONR, Microsoft (~2008), NSFC, MOST, Nvidia, etc.

     
Service

Program committee member unless otherwise noted (not up to date):

中文文章:

Teaching Classes taught (not up to date):
  • Computer Generated Imagery and Visual Effects, Fall 2018, Spring 2019
  • Computer Graphics, Fall 2014, Fall 2015
  • Algorithms and Data Structures
  • Commodity Graphics Hardware Accelerated Rendering

Short Biography

陈宝权,北京大学博雅特聘教授,智能学院副院长。研究领域为计算机图形学、三维视觉与可视化,担任国家“973计划”“城市大数据计算理论与方法”项目首席科学家,主持国家自然科学基金重点项目、国家重点研发计划“科技冬奥”项目和新一代人工智能重大项目等。在 ACM SIGGRAPH、IEEE VIS、ACM Transactions on Graphics (TOG)、IEEE Transactions on Visualization and Computer Graphics (TVCG) 等国际会议和期刊发表论文200余篇,多次获得国际会议最佳论文奖,包括SIGGRAPH Asia 2022、SIGGRAPH 2022 (提名)和IEEE Visualization 2005等。现任中国图象图形学学会常务理事、三维视觉专委会主任;中国计算机学会(CCF)常务理事、《中国计算机学会通讯》专题主编;获美国国家科学基金会杰出青年学者奖(NSF CAREER Award 2003)、中国计算机图形学大会杰出奖(2014)。入选中科院百人计划(2008)、国家杰出青年科学基金资助(2010)、教育部长江学者特聘教授(2015)、国家万人计划领军人才(2017)。2017年当选中国计算机学会会士,2019年当选 IEEE Fellow,2021年入选IEEE Visualization Academy(可视化名人堂),当选中国图象图形学学会会士,2024年入选ACM SIGGRAPH Academy(计算机图形学名人堂)。

Baoquan Chen is a Professor of Peking University, where he is the Associate Dean of the School of Artificial Intelligence. His research interests generally lie in computer graphics, computer vision, visualization, and human-computer interaction. He has published more than 200 papers in international journals and conferences, including 60+ papers in ACM Transactions on Graphics (TOG)/SIGGRAPH/SIGGRAPH_Asia. Chen serves/served as associate editor of IEEE Transactions on Emerging Topics in Computing (TETC), ACM Transactions On Graphics (TOG) and IEEE Transactions on Visualization and Computer Graphics (TVCG), and has served as chairs of prestigious conferences such as 3D Vision 2017, SIGGRAPH Asia 2014, IEEE Visualization 2005. Chen is the recipient of 2002 Microsoft Innovation Excellence Program, 2003 NSF CAREER award, 2004 McKnight Land-Grant Professorship at the University of Minnesota (Twin Cities), and 2014 Outstanding Achievement Award of Chinagraph. Chen received Best Paper Award in several prestigious conferences, such as SIGGRAPH Asia (2022), SIGGRAPH (2022 Honorary Mention), and IEEE Visualization (2005).

Prior to the current post, he was executive director of the Center on Frontiers of Computing Studies, Peking University (2018-2022); dean of the School of Computer Science and Technology and the School of Software, Shandong University (2013-2018). He was also founding director of the Visual Computing Research Center of Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (2008-2013), and a faculty member at the department of Computer Science and Engineering at the University of Minnesota at Twin Cities (2000-2008). Chen received an MS in Electronic Engineering from Tsinghua University, and PhD in Computer Science from the State University of New York at Stony Brook. He is an IEEE Fellow, and was inducted to IEEE Visualization Academy and ACM SIGGRAPH Academy in 2021 and 2024, respectively.