I am a tenure-track Assistant Professor at the School of Intelligence Science and Technology at 
Peking University. Currently, I am affiliated with 
the Visual Computing and Learning Lab, collaborating with Prof. Baoquan Chen, Prof. Libin Liu, and Dr. Bin Wang.
From 2020 to 2022, I held the position of Lise Meitner Postdoctoral Research Fellow at 
Max Planck Institute for Informatics, where I was supervised by Prof. Christian Theobalt and Dr. Rhaleb Zayer. During this time, I worked within groups D6 (Visual Computing and Artificial Intelligence) and D4 (Computer Graphics).
Prior to that, I pursued my Ph.D. under the guidance of Prof. Nils Thuerey in the group at the 
Technical University of Munich from 2014 to 2020.
I completed my M.Eng. degree at Zhejiang University, China, in March 2014.
I'm interested in Physics-Enhanced Deep Learning. Combining deep-learning-based algorithms and physical simulations, the research aims to improve the flexibility of simulations and to enhance the accuracy and generalizability of deep learning models.
Y. Wang, S. Tang, and M. Chu. "Physics-Informed Learning of Characteristic Trajectories for Smoke Reconstruction", ACM SIGGRAPH 2024 Conference Papers
M. Chu, L. Liu, Q. Zheng, E. Franz, HP. Seidel, C. Theobalt, and R. Zayer. "Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data", ACM Transactions on Graphics (SIGGRAPH 2022)
Y. Xie, E. Franz, M. Chu and N. Thuerey. "TempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow", ACM Transactions on Graphics (SIGGRAPH 2018)
Mengyu Chu and Nils Thuerey. "Data-Driven Synthesis of Smoke Flows with CNN-based Feature Descriptors", ACM Transactions on Graphics (SIGGRAPH 2017)
Max Planck Institute for Informatics, Germany
Technical University of Munich, Germany
Zhejiang University, China
Southeast University, China
Technical University of Munich
Max Planck Institute for Informatics