Hilal AlQuabeh

Welcome to my personal website!

Background

PhD student (expected graduation 2024) in machine learning at MBZUAI.

Education

PhD student (expected graduation 2024) in Machine Learning at MBZUAI
Mechanical Engineering Master's from Masdar Institute and MIT collaboration
Bachelor's in Mechanical Engineering from TTU

Work Experience

Research Assistant (2016-2018) at Masdar Institute. Mechanical Instructor (2018-2021) at the Institute of Applied Technology.

Publications

Variable refrigerant flow cooling assessment in humid environment using different refrigerants

R Saab, H Al Quabeh, MIH Ali

Journal of Environmental Management 224, 243-251, 2018

Chilled water storage feasibility with district cooling chiller in tropical environment

H Al Quabeh, R Saab, MIH Ali

Journal of Sustainable Development of Energy, Water and Environment Systems, 2020

Investigating a Baseline Of Self Supervised Learning Towards Reducing Labeling Costs For Image Classification

H AlQuabeh, A Bawazeer, A Alhashmi

arXiv preprint arXiv:2108.07464, 2021

Computational Complexity of Sub-Linear Convergent Algorithms

H AlQuabeh, F AlBreiki, D Azizov

arXiv preprint arXiv:2209.14558, 2022

Pairwise Learning via Stagewise Training in Proximal Setting

H AlQuabeh, A Abdurahimov

arXiv preprint arXiv:2208.04075, 2022

Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging

Your Authors

In the 38th AAAI Conference on Artificial Intelligence (AAAI-24)

Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory

Your Authors

In ACML 2023 - The 15th Asian Conference on Machine Learning

Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks

Hilal AlQuabeh, Bhaskar Mukhoty, Giulia De Masi, Huan Xiong, Bin Gu

The Twelfth International Conference on Learning Representations, 2024

Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging

H AlQuabeh, William de Vazelhes, B Gu

AAAI, 2024

Lotus at WojoodNER Shared Task: Multilingual Transformers: Unveiling Flat and Nested Entity Recognition

J Li, D Azizov, H AlQuabeh, S Liang

ArabicNLP, 2023

Advanced NLP Techniques for Summarizing Multilingual Financial Narratives from Global Annual Reports

Dilshod Azizov, Jiyong Li, Hilal AlQuabeh, and Shangsong Liang

FNP, 2023,

For more details, check my Google Scholar profile.