On the genetic side, we will focus on investigating the impact of genetic variation on post-transcriptional regulation to study the mechanistic role of RNA binding proteins in human diseases. On the non-genetic side, we will exploit the emerging wearable technology for deep phenotypical and environmental profiling.

AI researcher, forever learner and traveler. My first name is pronounced as "Shau-Shau". I am an Assistant Professor in the Electrical and Computer Engineering Department and an Associate Member in the Computer Science Department at the University of British Columbia (UBC).

Professor Xiao LI is an Assistant Professor with the Department of Civil Engineering, The University of Hong Kong (HKU). Xiao’s research mainly contributes to smart and industrialized construction, which includes assembly system, production system, and smart work packaging methodology for collaborative planning and control in construction.

Xiao Li. Banting Postdoctoral Fellow, Stanford University. Verified email at stanford.edu - Homepage. Biofabrication Biosensors Bioelectronics Nano-bio interface. ... HY Lou, W Zhao, X Li, L Duan, A Powers, M Akamatsu, F Santoro, ... Proceedings of the National Academy of Sciences, 201910166, 2019. 181: 2019:

Xiao Li [s'06, M'10] ([email protected]) received her Ph.D. degree in communication and information systems from Southeast University, Nanjing, China, in 2010. She then joined the School of Information Science and Engineering, Southeast University, where she has been a Professor in information systems and communications, since July 2020.

We formally prove the safety and liveness properties of the reconfigurable clustered Byzantine replication and implement this framework for both HotStuff and BFT-Smart. Our experiment results show that clustered BFT SMR provides high …

李教授于2016年获得浙江工业大学通信工程学士学位，于2020年获得香港中文大学电子工程博士学位。 李教授曾于 2018年10月至2019年4月，作为访问学者在南加利福尼亚大学学习。 李教授的研究方向包括数据科学、计算成像、机器学习、数学优化等领域。 他曾多次参与国际性学术会议，多篇论文被国际会议收录；在2019年神经信息处理系统大会（NeurIPS）中其著作被收录为 …

2023年3月8日 · Currently my research interests fall in computer graphics and computer vision. Specifically, I am interested in 3D synthesis and generation, neural rendering, and multi-modality. Powered by the Academic theme for Hugo.

Dr. Xiaoxiao Li is currently an Assistant Professor at the University of British Columbia, a faculty member at the Vector Institute, and a Canada CIFAR AI Chair. Dr. Li’s research lies at the intersection of AI and healthcare, focusing on developing next-generation responsible AI algorithms and systems.

Dr. Xiaoxiao Li is an Assistant Professor in the Electrical and Computer Engineering Department at the University of British Columbia (UBC), leading the Trusted and Efficient AI (TEA) Group, and an Adjunct Assistant Professor at the School of Medicine at Yale University. Li specializes in the interdisciplinary field of deep learning and healthcare.