Skip to content
GCC AI Research

Search

Results for "Xiaoming Liu"

Computer Vision: A Journey of Pursuing 3D World Understanding

MBZUAI ·

Dr. Xiaoming Liu from Michigan State University discussed computer vision techniques for 3D world understanding at a talk hosted by MBZUAI. The talk covered 3D reconstruction, detection, depth estimation, and velocity estimation, with applications in biometrics and autonomous driving. Dr. Liu also touched on anti-spoofing and fair face recognition research at MSU's Computer Vision Lab. Why it matters: Showcasing international experts and research directions helps to catalyze computer vision and 3D understanding research efforts within the UAE's AI ecosystem.

Faculty Focus: Xiaohang Li

KAUST ·

Xiaohang Li has joined the Computer, Electrical and Mathematical Science and Engineering Division at KAUST as an assistant professor of electrical engineering. He will focus on research and teaching within the electrical engineering domain. Why it matters: The appointment strengthens KAUST's faculty expertise in electrical engineering and related areas.

Desert provides an oasis for KAUST bioscientist studying plant stress

KAUST ·

KAUST Associate Professor Liming Xiong is researching how plants adapt to drought conditions, focusing on reducing water consumption, increasing water uptake, and surviving under stress. His "whole plant" approach aims to identify major genes controlling water uptake, water loss, and cellular detoxification. The research seeks to develop plants that use water more efficiently or can be irrigated with brackish water, important for agriculture in Saudi Arabia. Why it matters: Understanding the molecular mechanisms of plant drought tolerance can help in breeding stress-tolerant crops suitable for the arid conditions in the region.

Yuan-Kai Liu wins EGU poster award

KAUST ·

Yuan-Kai Liu, a master’s student from KAUST, received the Outstanding Student Poster and PICO Award at the European Geosciences Union General Assembly 2017 for his poster on caldera ring-fault development. Liu's poster presented results from analogue experiments, including deformation characteristics from time-resolved digital image correlation and 3-D spatial photogrammetry data. His research focuses on ground deformation analyses of subsiding calderas, combining analogue experiments with numerical modeling. Why it matters: This award recognizes KAUST's contribution to earth science and engineering and highlights the university's focus on innovative research in geophysics.

Xiaohang Li wins Harold M. Manasevit Young Investigator Award

KAUST ·

KAUST Assistant Professor Xiaohang Li has won the 2018 Harold M. Manasevit Young Investigator Award for his work in metal-organic chemical vapor deposition (MOCVD) growth of semiconductors. Li will receive the award at the 19th International Conference on Metalorganic Vapor Phase Epitaxy in Japan. The award recognizes Li's contributions to deep UV lasers, B-III-N alloys, III-oxides, and blue and green emitters. Why it matters: This award highlights KAUST's growing prominence in advanced semiconductor research and its potential impact on the optoelectronics industry.

Learning with Noisy Labels

MBZUAI ·

This article discusses methods for handling label noise in deep learning, including extracting confident examples and modeling label noise. Tongliang Liu from the University of Sydney presented these approaches. The talk aimed to provide participants with a basic understanding of learning with noisy labels. Why it matters: As AI models are increasingly trained on large, noisy datasets, techniques for robust learning become crucial for reliable real-world performance.

KAUST Ph.D. student wins best student presentation

KAUST ·

KAUST Ph.D. student Zhaolun Liu won the best student presentation at the 2017 Society of Exploration Geophysicists (SEG) Full-Waveform Inversion (FWI) and Beyond Workshop in Beijing. Liu's presentation was on "3D Wave-Equation Dispersion Inversion of Surface Waves," based on a paper co-authored with Jing Li and Professor Gerard Schuster. The paper describes a new method called wave equation dispersion inversion (WD) for inverting surface waves. Why it matters: This award recognizes KAUST's contributions to geophysics and seismic imaging, highlighting the university's research capabilities and access to high-performance computing.

Biweekly research update

KAUST ·

KAUST researchers demonstrated a new flash memory device design using gallium oxide, which can withstand harsh environments. In collaboration with the University of Michigan, KAUST researchers explained a key molecular event for the activation of an enzyme associated with cancer. The Summer 2023 issue of KAUST Discovery is now available. Why it matters: These research achievements highlight KAUST's contributions to advanced materials science and biomedical research, with potential applications in space technology and cancer treatment.