Dr. Ziquan Liu


Hi, I am Ziquan Liu, a Lecturer (Assistant Professor) at the School of Electronic Engineering and Computer Science, Queen Mary University of London. My research interest is machine learning, including trustworthy and reliable machine learning, uncertainty of foundation models and interpretable machine learning. I worked as a postdoc research fellow in machine learning in Information, Inference and Machine Learning group at University College London from April to December of 2023. I spent five wonderful years at City University of Hong Kong in Video, Image, and Sound Analysis Lab as a PhD student under the supervision of Prof. Antoni B. Chan, and got my PhD in 2023. I obtained my Bachelor of Engineering in Information Engineering from Beihang University and secondary Bachelor of Science in Mathematics from the same university, both in 2017. 


Email: ziquanliu.cs@gmail.com

Address: Peter Landin Building, 4th Floor, Queen Mary University of London, London, United Kingdom


Check our work on improving conformal prediction efficiency under adversarial environment. 

Our code for TWINS is released, check it out!

Our code for Improved Fine-Tuning by Better Leveraging Pre-Training Data is released, check it out!

Our code for Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization is released, check it out!

Recent Talks

Working Experience

January 2024 - Now, Lecturer in Computer Science @ Queen Mary University of London

April 2023 - December 2023, Research Fellow in Machine Learning @ University College London

July 2021 - May 2022, Research Intern @ Alibaba DAMO Academy


September 2017 - January 2023, Ph.D. @ City University of Hong Kong

September 2013 - June 2017, B.Sc. in Mathematics @ Beihang University

September 2013 - June 2017, B.Eng. in Information Engineering @ Beihang University




Lecturer at Queen Mary University of London

ECS797U/ECS797P - Machine Learning for Visual Data Analysis - 2023/24

Teaching Assistant at City University of Hong Kong: 

CS1103 - Introduction to Media Computing - 2017/2018

GE2326 - Probability in Action - 2017/2018

CS5188 - Virtual Reality Technologies and Applications - 2018/2019

CS4185 - Multimedia Technologies and Applications - 2018/2019

CS5489 - Machine Learning: Algorithms and Applications - 2019/2020, 2020/2021

CS5486 - Intelligent Systems - 2019/2020, 2020/2021



Conference: NeurIPS 2021-2023, ICLR 2021-2024, ICML 2021-2024, AAAI 2021-2024, CVPR 2021-2024, ICCV 2021-2023, ECCV 2022-2024

Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence, Transactions on Machine Learning Research, International Journal of Computer Vision

Service Award:

Outstanding Reviewer: NeurIPS 2021