I am a Ph.D. student in the Department of Robotics, Perception and Learning (RPL) at KTH Royal Institute of Technology, advised by Prof. Hossein Azizpour, Prof. Andrea Nascetti, and Prof. Josephine Sullivan.
My research interests lie in the general area of machine learning, particularly in deep learning, temporal modeling and uncertainty estimation, as well as their applications in satellite imagery and biomedical scenarios.
I also worked closely with Prof. Takeo Igarashi, M.D. Taichi Kin and Prof. Xi Yang at the University of Tokyo on the project of 3D reconstruction and medical image processing.
I received my Bachelor’s Degree in Chien-Shiung Wu College, Southeast University. My undergraduate research supervisor is Prof. Chuan Zhang.
Qingwen Zhang, Yi Yang, Heng Fang, Ruoyu Geng, Patric Jensfelt, “DeFlow: Decoder of Scene Flow Network in Autonomous Driving”, International Conference on Robotics and Automation (ICRA) 2024, May 13-17, 2024. [paper]
Beril Sirmaçek, S Gupta, Fermín Mallor, Hossein Azizpour, Yifang Ban, Hamidreza Eivazi, Heng Fang, Farzin Golzar, Iolanda Leite, Gaspar Isaac Melsión, Kevin Smith, F Fuso Nerini, Ricardo Vinuesa, “The potential of artificial intelligence for achieving healthy and sustainable societies”, The ethics of artificial intelligence for the sustainable development goals, Springer, 2023. [paper]
Heng Fang, Xi Yang, Taichi Kin, Takeo Igarashi, “Brain Surface Reconstruction from MRI Images Based on Segmentation Networks Applying Signed Distance Maps”, IEEE International Symposium on Biomedical Imaging (ISBI) 2021, April 13-16, 2021. [paper]