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HKU-IDS Scholar

photo-xihui-liu-3
Dr Xihui LIU
Assistant Professor
HKU Musketeers Foundation Institute of Data Science and
Department of Electrical and Electronic Engineering, HKU
About Me

Dr. Xihui Liu is an Assistant Professor at the Department of Electrical and Electronic Engineering (EEE) and the Musketeers Foundation Institute of Data Science (IDS), The University of Hong Kong. Before joining HKU, she was a Postdoctoral Researcher at UC Berkeley working with Prof. Trevor Darrell. She received her Ph.D. degree from Multimedia Lab, The Chinese University of Hong Kong in 2021 and her Bachelor’s degree from Tsinghua University in 2017. She has won several awards such as Adobe Research Fellowship 2020, MIT EECS Rising Stars 2021, CVPR 2021 Doctoral Consortium Award, WAIC Rising Star Award 2022, CVPR Outstanding Reviewers Award, and ICLR Outstanding Reviewers Award.

More information about Dr. Liu can be found at her personal website https://xh-liu.github.io/ and Google Scholar page https://scholar.google.com.hk/citations?user=4YL23GMAAAAJ&hl=en

Current Research Project

Dr Liu’s research projects cover computer vision, machine learning, and artificial intelligence, with special emphasis on multimodal AI, vision and language, open-world recognition, visual synthesis, and generative models. Her research goal is to build artificial intelligence that can perceive, understand, create, and interact with the multi-modal world.

The objective of Dr Liu’s current project is to study a challenging research problem on compositional text-to-image synthesis with diffusion models. With the recent progress in text-to-image synthesis, generative models such as GANs and diffusion models have been proven effective in synthesizing photo-realistic images with text instructions. However, synthesizing images with novel compositions of concepts remains a challenging problem. This project aims to explore generalizable diffusion model architectures that can synthesize images with novel compositions of concepts and new methods of synthesizing images with long, descriptive text instructions with diffusion models. 

Selected Publications
Awards
2022 WAIC Rising Stars
2021 MIT EECS Rising Stars
2019 Adobe Research Fellowship
ICLR 2021 Outstanding Reviewer Award
CVPR 2019 Outstanding Reviewer Award

Research Interests

Computer Vision; Machine Learning; Artificial Intelligence

RPg student
Ms. Kaiyi Huang (PhD student)