Research: My interest lies in the utilization of generative modeling as a tool for scientific discovery. Currently, I am engaged in foundational research on position encoding for generative models within the Kuaishou Keling team. Additionally, I am seeking a campus recruitment position as a Video Generation Algorithm Engineer.
Previously: I am pursuing my M.S. degree at Vision and Cognition Lab (VCL), Southeast University, supervised by Professor Yangang Wang. Prior to this, I obtained my B.E. degree (Top 1% graduates) in Automation, Hohai University in 2022, supervised by Professor Haoqian Huang.
TexDC: Text-Driven Disease-Aware 4D Cardiac Cine MRI Images Generation
Cong Liu, Xiaohan Yuan, ZhiPeng Yu and Yangang Wang
Asian Conference on Computer Vision (ACCV), 2024
4D Myocardium Reconstruction with Decoupled Motion and Shape Model
Xiaohan Yuan, Cong Liu and Yangang Wang
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
[paper] [code] [video]
Slice-mask based 3D Cardiac Shape Reconstruction from CT volume
Xiaohan Yuan, Cong Liu, Fu Feng, Yinsu Zhu and Yangang Wang
Asian Conference on Computer Vision (ACCV), 2022
[paper] [code]
Variational Bayesian Based Filter for Inaccurate Input
in Underwater Navigation
Haoqian Huang, Jiacheng Tang, Cong Liu, Bo Zhang and Bing Wang
IEEE Transactions on Vehicular Technology (IEEE Trans. Veh), 2021
[paper]
KLING AI, Kuaishou
Jun. 2024 - Present