Skip to main navigation Skip to search Skip to main content

Prof. Xinke LI, 李欣科

  • LI-LI-5344

20202026

Research activity per year

Personal profile

Author IDs

Scopus Author ID: 57219797345

Impact

Qualifications (Brief)

MSc(NUS), PhD(NUS)

Biography

Prof. Li currently serves as a Research Assistant Professor at the Department of Data Science at CityUHK through the GRAP scheme. He obtained his B.Sc. from the College of Electronic Science and Engineering at Jilin University, followed by an M.Sc. in Electrical & Computer Engineering from the National University of Singapore, and a Ph.D. in Industrial System Engineering. His research spans 3D computer vision, deep geometry learning, and trustworthy AI, with over 10 research publications featured in prestigious AI conferences and journals, including ICCV, CVPR, ECCV, AAAI, and NeurIPS. Several of his works have been nominated for oral presentations. Prof. Li has been involved in several research projects, such as the AI Singapore, and is currently engaged in a long-term biomedicine AI project focusing on metabolomic mass spectrometry analysis.

Research Interests/Areas

  • 3D Computer Vision
  • Deep Learning
  • Trustworthy AI / Adversarial Learning
  • Mass Spectrum Analysis

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Fingerprint

Dive into the research topics where Xinke LI is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations from the last five years

Recent external collaboration based on locations. Dive into details by clicking on the dots or