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Xiaoxiao Li

Responsible AI Algorithms Artificial General Intelligence (AGI) Theory AI Trustworthiness Medical Image Analysis Biomedical AI Systems
University of British Columbia Computer Science

About

r. Xiaoxiao Li is currently an Associate Professor in the Department of Electrical and Computer Engineering, an Associate Member in the Department of Computer Science, an an Associate Member at Department of Pathology and Laboratory Medicine at the University of British Columbia. Dr. Li is also a faculty member at Vector Institute. Dr. Li is recognized as a Canada Research Chair (Tier II) in responsible AI and a Cifar AI Chair. Dr. Li’s research interests primarily lie at the intersection of AI and healthcare, theory and techniques for artificial general intelligence (AGI), and AI trustworthiness. Dr. Li aims to develop the next-generation responsible AI algorithms and systems. Dr. Li work is widely recognized, with publications in top-tier machine learning conferences (ICML, ICLR, NeurIPS, CVPR, ECCV) and leading biomedical conferences and journals (MICCAI, IPMI, Medical Image Analysis, IEEE Trans on Medical Imaging, Nature Methods). Dr. Li has received several best paper and research awards.

Research Performance Summary

150
Total Papers
8528
Total Citations
39
H-Index
2018-2026
Active Research Span

First Recorded Paper

Brain biomarker interpretation in ASD using deep learning and fMRI

Year: 2018

Citations: 103

Venue: International conference on medical image computing and computer-assisted

Latest Recorded Paper

Textual Equilibrium Propagation for Deep Compound AI Systems

Year: 2026

Citations: 0

Venue: ICLR 2026

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2026
11
2025
26
2024
33
2023
22
2022
19
2021
10
2020
13
2019
9
2018
7

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 46
Journal 13
Book 0

Top Coauthors

Zhang Wang Chen

Research Impact by Period

2025-2026

Period Stats
Papers 37
Citations 309
Avg. Citations / Paper 8.4
H-Index 8

2020-2024

Period Stats
Papers 97
Citations 7550
Avg. Citations / Paper 77.8
H-Index 35

2015-2019

Period Stats
Papers 16
Citations 669
Avg. Citations / Paper 41.8
H-Index 11

Contact and Professional Links

Contact Information

xiaoxiao.li@ece.ubc.ca

Detected Research Keywords

Personalized Federated Learning Medical Image Analysis Heterogeneous Personalized Federated Graph Neural Network Graph Neural Networks Model Heterogeneous Personalized Medical Image Classification Whole Slide Image Auction Federated Learning Neural Network Fmri