Mingcong Liu

Y-tech, Kuaishou Technology, Beijing, China

I am an algorithm engineer at Y-tech, Kwai (Kuaishou), working on computer vision, machine learning, and computational photography. My research interests include generative modeling, image enhancement, and unsupervised learning.

I received B.S. and M.S. in Optical Engineering, both at Beijing Institute of Technology. During my Master’s program, I studied the enhancement and visualization of thermal images under the supervision of Prof. Weiqi Jin.


Dec 3, 2021 The AAHQ dataset has been released!
Oct 25, 2021 Our BlendGAN paper is accepted to NeurIPS’21 :sparkles:

Selected Publications

  1. NeurIPS
    BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation
    Mingcong LiuQiang LiZekui Qin, Guoxin Zhang, Pengfei Wan, and Wen Zheng
    Advances in Neural Information Processing Systems (NeurIPS), 2021
  2. IPT
    Fusion algorithm based on grayscale-gradient estimation for infrared images with multiple integration times
    Shuo Li, Weiqi Jin, Li Li,  Mingcong Liu, and Jianguo Yang
    Infrared Physics & Technology (IPT), 2020
  3. Applied Optics
    Image contrast enhancement method based on display and human visual system characteristics
    Guo Chen, Li Li, Weiqi Jin,  Mingcong Liu, and Feng Shi
    Applied Optics (Applied Optics), 2019
  4. IPT
    Infrared HDR image fusion based on response model of cooled IRFPA under variable integration time
    Mingcong Liu, Shuo Li, Li Li, Weiqi Jin, and Guo Chen
    Infrared Physics & Technology (IPT), 2018