Dr Xu is a postdoctoral researcher at National University of Singapore (NUS). He received his Ph.D. degree in computer vision 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 methods with deep learning models, with the aim of enhancing the structured and compositional comprehension of visual concepts and proposing efficient and robust solution of computer vision problems.

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 Publications

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]

Haitian Zheng, Mengqi Ji, Ziwei Xu, Haoqian Wang, Yebin Liu, and Lu Fang, Learning Cross-scale Correspondence and Patch-based Synthesis for Reference-based Super-Resolution, BMVC, 2017.

^{* Equal contributions.}

Community Services

• PC Member: AAAI, IJCAI, WACV, NeurIPS

Hobbies and Gadgets

Astronomy Seeing

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?

Newsletter Formatter for arXiv

I use a simple formatter to enhance the readability of daily newsletters from arXiv. For Chinese users, arxivdaily is a better option.