MBZUAI Assistant Professor Yuanzhi Li has been awarded a Sloan Research Fellowship in computer science by the Alfred P. Sloan Foundation. The fellowship recognizes early-career researchers for creativity, innovation, and research accomplishments. Li's research focuses on deep learning theory, including hierarchical feature learning in neural networks and optimization algorithms. Why it matters: This prestigious fellowship highlights MBZUAI's ability to attract and support high-caliber AI researchers, enhancing the institution's reputation and contributing to the growth of AI expertise in the UAE.
A Mixture of Experts (MoE) layer is a sparsely activated deep learning layer. It uses a router network to direct each token to one of the experts. Yuanzhi Li, an assistant professor at CMU and affiliated faculty at MBZUAI, researches deep learning theory and NLP. Why it matters: This highlights MBZUAI's engagement with cutting-edge deep learning research, specifically in efficient model design.
MBZUAI had 22 papers accepted at ICLR 2023, with faculty Kun Zhang co-authoring seven of them. Yuanzhi Li, an affiliated assistant professor at MBZUAI, received an honorable mention for his paper on knowledge distillation. Additionally, a paper co-authored by MBZUAI President Eric Xing was recognized as a top 5% paper at the conference. Why it matters: MBZUAI's strong presence at a top-tier machine learning conference like ICLR demonstrates the university's growing influence and research capabilities in the global AI landscape.
KAUST alumnus Yu Li was named in Forbes' 30 Under 30 Asia List for his work developing algorithms to solve problems in biology and healthcare. Li, now an assistant professor at CUHK, was recognized for his computational tools to identify antibiotic-resistant genes. His research focuses on computational biology, human health, biomolecular structure prediction, and AI-driven drug discovery. Why it matters: This recognition highlights the impact of KAUST's programs in fostering AI talent in the region, particularly in the growing field of bioinformatics and healthcare.
Dr. Xinwei Sun from Microsoft Research Asia presented research on trustworthy AI, focusing on statistical learning with theoretical guarantees. The work covers methods for sparse recovery with false-discovery rate analysis and causal inference tools for robustness and explainability. Consistency and identifiability were addressed theoretically, with applications shown in medical imaging analysis. Why it matters: The research contributes to addressing key limitations of current AI models regarding explainability, reproducibility, robustness, and fairness, which are crucial for real-world applications in sensitive fields like healthcare.
MBZUAI's Dr. Hao Li is working on using AI and 3D telepresence to transform communication, work, and education by replacing physical transportation with virtual teleportation. His research focuses on the intersection of computer graphics, computer vision, and AI, specifically virtual avatar creation and facial performance capture. Li aims to improve communication using AI to achieve what cannot be done in real life. Why it matters: This research has the potential to reduce carbon footprints by enabling remote work and virtual collaboration, while also positioning MBZUAI and the UAE as leaders in AI-driven metaverse technologies.
MBZUAI researchers presented a new strategy for handling complex optimization problems in machine learning at ICLR 2024. The study, a collaboration with ISAM, combines zeroth-order methods with hard-thresholding to address specific settings in machine learning. This approach aims to improve convergence, ensuring algorithms reach quality solutions efficiently. Why it matters: Improving optimization techniques is crucial for advancing machine learning models used in various applications, potentially accelerating development and enhancing performance.
This article summarizes a talk by Erci Xu on doing computer systems research, focusing on idea generation and paper writing. Xu shares experiences on developing research ideas and provides a tutorial on academic writing principles. He has published 20 papers in venues like OSDI, FAST, ATC, and Eurosys and received awards including two FAST Best Paper Awards. Why it matters: The talk and summary offer valuable guidance for researchers in the Middle East, particularly those at institutions like MBZUAI, on how to conduct impactful computer systems research and effectively communicate their findings in top-tier academic publications.