Dr Xu is a postdoctoral researcher at National University of Singapore (NUS). He received his Ph.D. degree in computer science from the National University of Singapore in 2023. His PhD advisor is Professor Mohan S Kankanhalli. Prior to this, he obtained his B.Eng. degree in Computer Science and Technology from University of Science and Technology of China (USTC) in 2017.

His research primarily focuses on the integration of symbolic and formal methods with machine learning models, with the goal of better understanding the complexities in the world and building more robust, interpretable, and trustworthy models. He is also interested in how powerful machine learning models could affect our society and the way we live and think.

His name is pronounced as zee-way-hsu, where Xu (hsu, 徐) is his family name and Ziwei (zee-way, 子威) is his given name.

Google Scholar Resume

Selected Works

Ziwei Xu, Sanjay Jain, and Mohan Kankanhalli, Hallucination is Inevitable: An Innate Limitation of Large Language Models, 2024. [Preprint]

Guangzhi Wang, Yangyang Guo, Ziwei Xu, and Mohan Kankanhalli, Bilateral Adaptation for Human-Object Interaction Detection with Occlusion-Robustness, CVPR, 2024.

Ziwei Xu, Yogesh S Rawat, Yongkang Wong, Mohan S Kankanhalli, and Mubarak Shah, Don’t Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation, NeurIPS, 2022. (25% acceptance rate) [Project]

Ziwei Xu, Xudong Shen, Yongkang Wong, and Mohan S Kankanhalli, Unsupervised Motion Representation Learning with Capsule Autoencoders, NeurIPS, 2021. (26% acceptance rate) [Preprint] [Code] [Slides] [Video]

Ziwei Xu, Guangzhi Wang, Yongkang Wong, and Mohan S Kankanhalli, Relation-aware Compositional Zero-shot Learning for Attribute-Object Pair Recognition, IEEE Transactions on Multimedia, 2021. [Preprint] [Code]

Junnan Li*, Ziwei Xu*, Yongkang Wong, Qi Zhao, and Mohan S Kankanhalli, GradMix: Multi-source Transfer across Domains and Tasks, WACV, 2020. [Preprint]

Yaqi Xie*, Ziwei Xu*, Mohan S Kankanhalli, Kuldeep Singh Meel, and Harold Soh, Embedding Symbolic Knowledge into Deep Networks, NeurIPS, 2019. (21% acceptance rate) [Preprint]

* Equal contributions.

Community Services


Hobbies and Gadgets

Astronomy Seeing/Photography

Singapore is not a perfect place for astronomy seeing. However, the sky is quite clear when it doesn’t rain and a telescope or binoculars can be used to enjoy the night sky.
Weather forecast: cloud cover and rain in Singapore.
Planetarium: what can be seen in Singapore tonight?
Visibility plot: plot the visibility of astronomical objects.
Images on AstroBin taken in Singapore or using remote observatories.