Mingrong Gong

Mingrong Gong

Graduate Student in SIAT, University of Chinese Academy of Sciences.

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences (SIAT)

Biography

I am currently a third-year M.Sc. student at University of Chinese Academy of Sciences (UCAS), and doing my research at Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences. My research interest mainly includes trustworthy AI, machine learning, especially domain generalization, and reinforcement learning. Currently, my main focus is on investigating the out-of-distribution (ood) detection. The goal of my work is to enable fine-grained ood detection. I think the key to this work is finding a suitable compression structure to represent the in-distribution data.

Interests
  • Machine Learning
  • Computer Vision
  • Trustworthy AI
  • Reinforcement Learning
Education
  • MEng in Computer Science, Expected 2024

    University of Chinese Academy of Sciences

  • BSc in Information Engineering, 2021

    Chongqing Jiaotong University

Skills

Python

90%

Pytorch

90%

Git

60%

Latex

70%

Jax

50%

Keen to learn more

100%

Recent Publications

(2023). Reduce Overestimation by Kullback-Leibler Divergence Regularized. TNNLS Under Review.

(2022). Efficiently Fusing Sparse LiDAR for Enhanced Self-Supervised Monocular Depth Estimation. ICASSP22.

(2022). ADNet: Asymmetric Dual-mode Network for RGB-D Indoor Scene Parsing. In PRCV22.

Contact