Wei Peng | Stanford University
wepeng@stanford.edu or Wei.Peng@oulu.fi

I am a Postdoctoral Researcher at CNSlab, Stanford University. I received my PhD from University of Oulu , Finland, where I was advised by Academy Professor Guoying Zhao. During my PhD study, I was lucky enough to have the opportunity to visit Harvard Medical School and CVL, ETH Zurich. Prior to that, I received the B.E. degree from UESTC, China, and Master degree from Xiamen University, China. My research interests include Machine Learning, Geometric neural networks, Medical image analysis with special emphasis on Neuroscience. .

/ / / /


News


Publications

game

Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks
Wei Peng, Li Feng, Guoying Zhao, Fang Liu. Computer Vision and Pattern Recognition (CVPR), 2022.

game

(Abstruct) Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks
Wei Peng, Li Feng, Guoying Zhao, Fang Liu. ISMRM , 2022.

game

Hyperbolic Deep Neural Networks: A Survey
Wei Peng, Tuomas Varanka, Abdelrahman Mostafa, Henglin Shi, Guoying Zhao. IEEE Transactions on Pattern Analysis & Machine Intelligence(T-PAMI), 2022.
Code

game

Intrinsic-extrinsic preserved gans for unsupervised 3D pose transfer
Haoyu Chen, Hao Tang, Henglin Shi, Wei Peng, Nicu Sebe, Guoying Zhao. IEEE International Conference on Computer Vision (ICCV), 2021.
Code

game

Tripool: Graph triplet pooling for 3D skeleton-based action recognition
Wei Peng, Xiaopeng Hong, Guoying Zhao. Pattern Recognition (PR), 2021.

game

Mix Dimension in Poincar\'{e} Geometry for 3D Skeleton-based Action Recognition
Wei Peng, Jingang Shi, Zhaoqiang Xia, Guoying Zhao. Proceedings of the 28th ACM International Conference on Multimedia (ACM MM), 2020.

game

Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition
Zhaoqiang Xia, Wei Peng, Huai-Qian Khor, Xiaoyi Feng, Guoying Zhao. IEEE Transactions on Image Processing (TIP), 2020.

game

Learning graph convolutional network for skeleton-based human action recognition by neural searching
Wei Peng, Xiaopeng Hong, Haoyu Chen, Guoying Zhao. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.
Code

game

Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement
Zitong Yu*, Wei Peng*, Xiaobai Li, Xiaopeng Hong, Guoying Zhao. IEEE International Conference on Computer Vision (ICCV), 2019.
Code


Academic Activities

Academic Reviewer:

  • Invited as Reviewer for NeurIPS2022, CVPR2022, AAAI2022, ICML2022, MICCAI2022, etc.

Teaching

Stolen from Georgia Gkioxari