-
办公地址:
Room 2216, Science Building #2, 5 yiheyuan road, haidian district, Beijing
-
联系电话:
010-62759128
-
电子邮箱:
baoquan@pku.edu.cn
-
个人网页:
http://baoquanchen.info
CHEN Baoquan
-
Professor, Doctoral Advisor
Boya Distinguished Professor, Associate Dean of the School of Artificial Intelligence, Peking University - National Biomedical Imaging Center
-
- 个人简介
-
Baoquan Chen is a Professor of Peking University, where he is associate dean of the School of Artificial Intelligence. His research interests generally lie in computer graphics, 3D vision, visualization, and human-computer interaction. He has published 200+ papers in international journals and conferences, including 60+ papers in ACM Transactions on Graphics (TOG), and won several best paper awards in prestigious conferences, including SIGGRAPH Asia 2023, SIGGRAPH 2023 (Honorary Mention), and IEEE Visualization 2005. Chen has served as associate editor of ACM Transactions on Graphics and IEEE Transactions on Visualization and Graphics, conference steering committee member of ACM SIGGRAPH Asia and IEEE VIS, conference chair of SIGGRAPH Asia 2014 and IEEE Visualization 2005, as well as program chair/committee member of numerous conferences in the visualization and computer graphics fields.
Chen served as the Chief Scientist of Beijing Advanced Innovation Center for Future Visual Entertainment, Beijing Film Academy (2016-2021). He is a guest professor of the School of Art, Peking University. Chen is the recipient of 2003 NSF CAREER award, 2004 McKnight Land-Grant Professorship at the University of Minnesota (Twin Cities), and 2014 Outstanding Award of Chinagraph. Chen received an MS in Electronic Engineering from Tsinghua University, and a PhD in Computer Science from the State University of New York at Stony Brook. For his contribution to spatial data visualization, he was elected IEEE Fellow in 2020, and was inducted to IEEE Visualization Academy and ACM SIGGRAPH Academy in 2021 and 2024, respectively.
-
- 获奖及荣誉
-
2024 ACM SIGGRAPH Academy Inductee
2022 ACM SIGGRAPH Asia 2022 Technical Papers' Best Paper Award
2022 ACM SIGGRAPH 2022 Best Papers Honorable Mention
2021 Fellow of China Society of Image and Graphics
2021 IEEE Visualization Academy Inductee
2021 World Artificial Intelligence Conference Outstanding Paper Award
2020 IEEE Fellow
2020 Shandong Province Science and Technology Award, First Prize in Natural Science
2020 CCF Science and Technology Award, First Prize in Natural Science
2017 Fellow of China Computer Federation
2016 Changjiang Endowed Professorship, the Ministry of Education of China
2014 Outstanding Achievement Award, Chinagraph 2014
2011 Outstanding Young Researcher, National Natural Science Foundation of China
-
- 工作简历
-
2022-Present Associate Dean of the School of Artificial Intelligence, Peking University
2018-2022 Endowed Boya Professor and Executive Director, Center on Frontiers of Computing Studies (center director: John Hopcroft, Turing Award Winner), Peking University
2016-2021 Chief Scientist, Beijing Innovation Center for Future Visual Entertainment, Beijing Film Academy
2013-2018 Professor and Dean, School of Computer Science and Technology and School of Software, Shandong University
2008-2013 Professor and Director, Visual Computing Research Center, Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences
2007-2008 President & CEO, AJM 3D Solutions LLC
2004-2006 McKnight Land-Grant Professorship, University of Minnesota
2000-2007 Assistant Professor, Department of Computer Science and Engineering, University of Minnesota
1999-2000 Research Associate, Media Research Laboratory, Courant Institute, New York University, NY
1995 1999 Research and Teaching Assistant, Department of Computer Science, SUNY Stony Brook, NY
1994 1995 Researcher, Institute of Computer Science and Technology, Peking University, China
-
- 承担项目
-
• National Key Research Program, General Vision Dirven Urban Traffic Computing and Applications, 01/2023-12/2025. (Role: PI)
• Shenzhen Technology Program – Technology transfer concerning “Computational Theories And Methods For Urban Big Data,” 01/2022-12/2024. (Role: PI)
• Joint NSFC-ISF Research Grant Program, Understanding and Controlling Generative Models, 10/01/2021-09/30/2024. (Role: PI)
• National Key Research Program, Interactive VR Broadcasting for Winter Olympic Games, 12/01/2019-06/30/2022. (Role: PI)
• National Basic Research Program, Computational Theories and Methods for Urban Computing, 01/01/2015-12/31/2019. (Role: PI)
• Natural Science Foundation of China (NSFC) and Israel Science Foundation (ISF) Bilateral Collaboration Program, Visual computing on social cameras, 10/2015-09/2018. (Role: PI)
• Natural Science Foundation of China (NSFC), High Dimensional Modeling from Urban Data, 01/01/2012-12/31/2015. (Role: PI)
• Natural Science Foundation of China (NSFC), Outstanding Young Researcher Program, 01/01/2011-12/31/2014. (Role: Sole PI)
• Chinese Academy of Science, One-Hundred Talent Program, 01/01/2009-12/31/2012. (Role: Sole PI)
• National High-tech R&D Program of China, 3D Modeling of Large Scale Urban Scenes, 01/01/2009-12/31/2010. (Role: PI)
-
- 代表性论文及论著
-
1. Yujie Wang; Praneeth Chakravarthula; Qi Sun; Baoquan Chen ; Joint neural phase retrieval and compression for energy- and computation-efficient holography on the edge, ACM Transactions on Graphics, 2022, 41(4): 110:1-110:16.
2. Tenglong Ao; Qingzhe Gao; Yuke Lou; Baoquan Chen; Libin Liu ; Rhythmic Gesticulator: Rhythm-Aware Co-Speech Gesture Synthesis with Hierarchical Neural Embeddings, ACM Transactions on Graphics, 2022, 41(6): 209:1-209:19.
3. Liangwang Ruan; Jinyuan Liu; Bo Zhu; Shinjiro Sueda; Bin Wang; Baoquan Chen ; Solid-Fluid Interaction with Surface-Tension-Dominant Contact, ACM Transactions on Graphics, 2021, 40(4)120:1-120:12.
4. Xingyu Ni; Bo Zhu; Bin Wang; Baoquan Chen ; A Level-Set Method for Magnetic Substance Simulation, ACM Transactions on Graphics, 2020, 39(4): 29:1-29:13 .
5. Hongda Jiang; Bin Wang; Xi Wang; Marc Christie; Baoquan Chen ; Example-driven Virtual Cinematography by Learning Camera Behaviors, ACM Transactions on Graphics, 2020, 39(4): 45:1-45:14.
6. Xingqiao Li; Xingyu Ni; Bo Zhu; Bin Wang; Baoquan Chen ; GARM-LS: A Gradient-Augmented Reference-Map Method for Level-Set Fluid Simulation, ACM Transactions on Graphics, 2023, 42(6):192:1-192:20.
7. Jingrui Xing; Liangwang Ruan; Bin Wang; Bo Zhu; Baoquan Chen ; Position-Based Surface Tension Flow, ACM Transactions on Graphics, 2022, 41(6): 244:1-244:12.
8. Xuwen Chen; Xingyu Ni; Bo Zhu; Bin Wang; Baoquan Chen ; Simulation and optimization of magnetoelastic thin shells, ACM Transactions on Graphics, 2022, 41(4): 61:1-61:18.
9. Kai Ye; Siyan Dong; Qingnan Fan; He Wang; Li Yi; Fei Xia; Jue Wang; Baoquan Chen ; MultiRobot Active Mapping via Neural Bipartite Graph Matching, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, 2022-6-21至2022-6-24.
10. Peizhuo Li; Kfir Aberman; Rana Hanocka; Libin Liu; Olga Sorkine-Hornung; Baoquan Chen;Learning Skeletal Articulations with Neural Blend Shapes, ACM Transactions on Graphics, 2021,40(4): 130:1-130:15.
11. Kfir Aberman; Yijia Weng; Dani Lischinski; Daniel Cohen-Or; Baoquan Chen ; Unpaired Motion Style Transfer from Video to Animation, ACM Transactions on Graphics, 2020, 39(4): 64:1-64:12.
12. Qingzhe Gao; Yiming Wang; Libin Liu; Lingjie Liu; Christian Theobalt; Baoquan Chen; Neural Novel Actor: Learning a Generalized Animatable Neural Representation for Human Actors,IEEE Transactions on Visualization and Computer Graphics (TVCG), 2023, Early Access: 1-14.
13. Mingyi Shi; Kfir Aberman; Andreas Aristidou; Taku Komura; Dani Lischinski; Daniel CohenOr; Baoquan Chen ; MotioNet: 3D Human Motion Reconstruction from Monocular Video with Skeleton Consistency, ACM Transactions on Graphics, 2020, 40(1): 1:1-1:15 .
14. Ziyin Qu; Xinxin Zhang; Ming Gao; Chenfanfu Jiang; Baoquan Chen ; Efficient and Conservative Fluids Using Bidirectional Mapping, ACM Transactions on Graphics, 2019, 38(4):128:1-128:12.
15. Siyan Dong; Kai Xu; Qiang Zhou; Andrea Tagliasacchi; Shiqing Xin; Matthias Nießner; Baoquan Chen; Multi-Robot Collaborative Dense Scene Reconstruction, ACM Transactions on Graphics, 2019, 38(4): 84:1-84:16.