Can Zhang

Welcome!

I am currently a research fellow at National University of Singapore (NUS), working closely with Prof. Gim Hee Lee. I did my PhD at the Department of Computer Science at NUS, under the supervision of Prof. Gim Hee Lee.

Research Interests

My research interests lie broadly in the field of computer vision (CV), machine learning (ML). Specifically, my work explores the following areas:

• 3D scene understanding
• Domain adaptation
• Semi-, Un- and Self-supervised learning
• Multi/Cross-modal learning
• but not limited to.

News

• [Feb. 2025] IAAO on object articulation in 3D environments is accepted to CVPR 2025.
• [Jan. 2025] econSG on 3d scene understanding is accepted to ICLR 2025.
• [Jul. 2023] Get on domain adaptation is accepted to ICCV 2023.
• [Jul. 2023] DG-UCDIR on cross-domain image retrieval is accepted to ICCV 2023.
• [Mar. 2022] Miss on CTR prediction is accepted to ICDE 2022.
• [May. 2022] CA-UDA on domain adaptation is available on arXiv.
• [Oct. 2020] MPSD on surface defection is accepted to ICPR 2020.
• [Oct. 2020] MSPAC on RGB-Infrared person re-identification is accepted to ICPR 2020.
• [May 2020] MBCN on recommendation is accepted to SIGIR 2020.

Research

Awards and Honors

• Research Achievement Award, NUS, 2023
• National Scholarship, 2017
• National Scholarship, 2016
• National Scholarship, 2015
• Outstanding Freshmen Scholarship, WHU, 2014

Teaching Assistant

2018/2019 Semester 1: Scientific Quality and Research Methods, PKU
2020/2021 Semester 1: CS5340 Uncertainty Modelling in AI, NUS
2020/2021 Semester 2: CS5477 3D Computer Vision, NUS
2021/2022 Semester 1: CS5340 Uncertainty Modelling in AI, NUS

Services

• Conference reviewers: CVPR, NeurIPS, ICLR, ICML, ICCV

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