李晨

2013.09-2019.06     必赢BWIN                   博士

2017.01-2018.01     纽约州立大学石溪分校    访问学者

2009.09-2013.06     天津大学                          学士   

2021.09-至今           必赢BWIN         专任副研究员

2019.08-2021.08     必赢BWIN         博士后

李晨，bwin官网登录入口专任副研究员。于 2019 年 6 月获得必赢BWIN工学博士学位，师从王长波教授。目前主要研究方向有计算机图形学、深度学习以及高性能计算，特别是基于物理的计算机动画仿真。在国际顶级期刊和会议，TOG、TVCG、ACM MM、CGF、GMOD、PG、I3D 等，发表十余篇论文；主持国家自然科学基金青年项目一项。

计算机图形学、深度学习以及高性能计算，特别是基于物理的计算机动画仿真、自然景观建模、可微计算

2022，《计算机图形学》实验课

2023，《计算机图形学》

员工作品：

交互式三维仿真系统开发,2022/09-2029/04,主持

基于物理参数反演的流体仿真技术研究,2021/01-2023/12,主持

多源数据混合驱动的城市街景多尺度特征学习与轻量化仿真,2021/01-2024/12,参与

数据与物理混合驱动的高速流体快速仿真与细节增强,2017/01-2020/12,参与

大尺度流体流固耦合与形变破坏的快速仿真研究,2013/01-2016/12,参与

基于多源数据的可视模型与环境构建及其动态仿真,2016/01-2020/12,参与

大数据平台技术合作项目,2019/05-2020/01,参与

论文发表

[1] Zaili Tu^#, Chen Li^#, Zipeng Zhao, Long Liu, Chenhui Wang, Changbo Wang, Hong Qin: A Unified MPM Framework supporting Phase-field Models and Elastic-viscoplastic Phase Transition. ACM Transactions on Graphics, 2023(Accepted, CCF A, top journal in computer graphics)

[2] Peichi Zhou^#, Dingbo Lu^#, Chen Li*, Jian Zhang, Long Liu, Changbo Wang: Unsupervised Textured Terrain Generation via Differentiable Rendering. ACM MM (2022) (CCF A)

[3] Chen Li^#, Sheng Qiu^#, Changbo Wang, Hong Qin: Learning Physical Parameters and Detail Enhancement for Gaseous Scene Design based on Data Guidance. IEEE Trans. Vis. Comput. Graph. 27(10): 3867-3880 (2021) (SCI, CCF A, JCR Q1)

[4] Sheng Qiu^#, Chen Li^#, Changbo Wang, Hong Qin: A Rapid, End-to-end, Generative Model for Gaseous Phenomena from Limited Views. Comput. Graph. Forum. 40: 242-257(2021) (SCI, CCF B, JCR Q2)

[5] Jian Zhang, Chen Li*, Peichi Zhou, Changbo Wang, Gaoqi He, Hong Qin: Authoring multi-style terrain with global-to-local control. Graph. Model. 119 (2022) (SCI, CCF B)

[6] Zipeng Zhao, Kemeng Huang, Chen Li*, Changbo Wang, Hong Qin: A Novel Plastic Phase-Field Method for Ductile Fracture with GPU Optimization. Comput. Graph. Forum 39(7): 105-117 (2020) (SCI, CCF B, JCR Q2) 

[7] Chen Li, Changbo Wang, Shenfan Zhang, Sheng Qiu, Hong Qin: Pore-scale Flow Simulation in Anisotropic Porous Material via Fluid-Structure Coupling. Graph. Model. 95: 14-26 (2018) (SCI, CCF B)

[8] Chen Li, Changbo Wang, Hong Qin: Novel Adaptive SPH with Geometric Subdivision for Brittle Fracture Animation of Anisotropic Materials. Vis. Comput. 31(6-8): 937-946 (2015) (SCI, CCF C)

[9]Chen Peng, Zaili Tu, Sheng Qiu, Chen Li*, Changbo Wang, Hong Qin: Learning frequency-aware convolutional neural network for spatio-temporal super-resolution water surface waves. Comput. Animat. Virtual Worlds 33(6) (2022)

[10]Jiawen Zhang, Chen Li*, Changbo Wang, Gaoqi He*: ORCANet: Differentiable multi-parameter learning for crowd simulation. Comput. Animat. Virtual Worlds 34(1) (2023)

[11] Jiajun Shi, Chen Li*, Changbo Wang, Hong Qin, Gaoqi He: An Advanced Hybrid Smoothed Particle Hydrodynamics-Fluid Implicit Particle Method on Adaptive Grid for Condensation Simulation. Comput. Animat. Virtual Worlds 31(6) (2020) (SCI, CCF C) 

[12] Kemeng Huang, Zipeng Zhao, Chen Li, Changbo Wang, Hong Qin: Novel Hierarchical Strategies for SPH-centric Algorithms on GPGPU. Graph. Model. 111: 101088 (2020) (SCI, CCF B)

[13] Tai-you Zhang, Jiajun Shi, Changbo Wang, Hong Qin, Chen Li: Robust Gas Condensation Simulation with SPH based on Heat Transfer. PG (Short Papers) 2017: 27-32 (CCF B)

[14] Shenfan Zhang, Fanlong Kong, Chen Li, Changbo Wang, Hong Qin: Hybrid Modeling of Multiphysical Processes for Particle-based Volcano Animation. Comput. Animat. Virtual Worlds 28(3-4) (2017) (SCI, CCF C)

[15] Jian Zhang, Changbo Wang, Chen Li, Hong Qin: Example-based Rapid Generation of Begetation on Terrain via CNN-based Distribution Learning. Vis. Comput. 35(6-8): 1181-1191 (2019) (SCI, CCF C)

[16] Kemeng Huang, Jiming Ruan, Zipeng Zhao, Chen Li, Changbo Wang, Hong Qin: A General Novel Parallel Framework for SPH-centric Algorithms. Proc. ACM Comput. Graph. Interact. Tech. 2(1): 7:1-7:16 (2019) (SCI, CCF B会议)

[17] Chen Peng, Zipeng Zhao, Chen Li, Changbo Wang, Hong Qin, Hongyan Quan: Data-driven Retrieval of Spray Details with Random Forest-based Distance. Comput. Animat. Virtual Worlds 30(3-4) (2019) (SCI, CCF C)

[18] Changbo Wang, Shenfan Zhang, Chen Li, Hong Qin: Hybrid Modeling of Lagrangian-Eulerian Method for High-speed Fluid Simulation. Comput. Graph. 78: 87-96 (2019) (SCI, CCF C)

[19] Kai Gao, Jian Zhang, Chen Li, Changbo Wang, Gaoqi He, Hong Qin: Novel Sketch-Based 3D Model Retrieval via Cross-domain Feature Clustering and Matching. ICANN (1) 2020: 299-311 (EI, CCF C会议)

[20] Peichi Zhou, Zipeng Zhao, Kang Zhang, Chen Li, Changbo Wang: An End-to-end Model for Chinese Calligraphy Generation. Multim. Tools Appl. 80(5): 6737-6754 (2021) (SCI, CCF C)

[21] 张申帆, 李晨, 王长波,等:考虑热传导与动态黏度的真实感流体仿真.计算机辅助设计与图形学学报, 2017, 29 (7) :1186-1194. (EI)

[22] 施佳俊, 李晨, 王长波:复杂表面小尺度凝结现象真实感仿真复杂表面小尺度凝结现象真实感仿真, 2021, 33(4):601-608. (EI)

专利

[1] 王长波, 李晨, 秦洪. 一种层次几何细分的各向异性材料脆性破裂模拟方法.中国专利. 授权编号：CN104715499A, 2018.(已授权)

[2] 王长波,张申帆,李晨. 一种涉及热传导与动态黏度的真实感流体仿真方法.中国专利.CN106096215A. 2019. (已授权)

[3] 郭谚霖, 王长波, 李晨. 一种基于动能热力分布图的动态虚拟人仿真方法.中国专利.CN109856991A. 2019. (已授权)

[4] 邱晟, 李晨, 王长波,等. 一种在有限视图下的气体场景端到端快速重建方法.中国专利. 202011230511.2020. (处理中)

华为公司难题揭榜火花奖，终端BG硬工难题，2022/06.