Zhao Na

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Assistant Professor

Email: 
Website: https://na-z.github.io
Telephone: +65 64998753
Office #: 1.202.16
Pillar / Cluster: Information Systems Technology and Design
Research Areas:Artificial and Augmented Intelligence, Visual Computing, Data Science
Zhao Na

Biography

Dr. Na Zhao is a tenure-track Assistant Professor at the Singapore University of Technology and Design (SUTD) since August 2022. Prior to joining SUTD, she was a Research Fellow at the National University of Singapore (NUS). Dr. Zhao received her Ph.D. degree in Computer Science from NUS in March 2021. Her PhD thesis, titled “Towards Learning Scene Semantics on 3D Point Clouds”, won the IMDA Excellence Prize awarded to the most outstanding Ph.D. graduate of the year with the best thesis at the School of Computing at NUS.

Dr. Zhao’s research interests lie at the intersection of computer vision and machine learning, particularly in scene understanding (e.g., object detection, semantic segmentation) from different machine learning perspectives such as data-efficient learning, out-of-distribution learning, multi-modal learning, continual learning, robust learning, and etc. Her research is published at top-tier computer vision and artificial intelligence conferences and journals.

Selected Publications

For a full list of her publications, please refer to Google Scholar. (* indicates the corresponding author)

  • Linfeng Li, Na Zhao*. End-to-End Semi-Supervised 3D Instance Segmentation with PCTeacher. IEEE International Conference on Robotics and Automation (ICRA), 2024.
  • Na Zhao, Gim Hee Lee. Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data. 38th AAAI Conference on Artificial Intelligence (AAAI), 2024.
  • Yucheng Han, Na Zhao*, Weiling Chen, Keng-Teck Ma, Hanwang Zhang. Dual-Perspective Knowledge Enrichment for Semi-Supervised 3D Object Detection. 38th AAAI Conference on Artificial Intelligence (AAAI), 2024.
  • Yunsong Wang, Na Zhao, Gim Hee Lee. Enhancing Generalizability of Representation Learning for Data-Efficient 3D Scene Understanding. International Conference on 3D Vision (3DV), 2024. (Oral paper)
  • Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, Gim Hee Lee. Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization. International Journal on Computer Vision (IJCV), 2023.
  • Yating Xu, Na Zhao, Gim Hee Lee. Towards Robust Few-shot Point Cloud Semantic Segmentation. The British Machine Vision Conference (BMVC), 2023.
  • Yating Xu, Conghui Hu, Na Zhao, Gim Hee Lee. Generalized Few-Shot Point Cloud Segmentation Via Geometric Words. International Conference on Computer Vision (ICCV), 2023.
  • Tasbolat Taunyazov, Heng Zhang, John Patrick Eala, Na Zhao, Harold Soh. Refining 6-DoF Grasps with Context-Specific Classifiers. International Conference on Intelligent Robots and Systems (IROS), 2023.
  • Hualian Sheng, Sijia Cai, Na Zhao#, Bing Deng, Min-Jian Zhao#, Gim Hee Lee. PDR: Progressive Depth Regularization for Monocular 3D Object Detection. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023. (# co-corresponding author)
  • Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, Gim Hee Lee. Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation. In European Conference on Computer Vision (ECCV), 2022.
  • Tohar Lukov, Na Zhao, Gim Hee Lee, Ser-Nam Lim. Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions. European Conference on Computer Vision (ECCV), 2022.
  • Hualian Sheng, Sijia Cai, Na Zhao*, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Minjian Zhao, Gim Hee Lee. Rethinking IoU-based Optimization for Single-stage 3D Object Detection. European Conference on Computer Vision (ECCV), 2022.
  • Na Zhao, Gim Hee Lee. Static-Dynamic Co-Teaching for Class Incremental 3D Object Detection. 36th AAAI Conference on Artificial Intelligence, 2022. (Oral paper)
  • Na Zhao, Tat-Seng Chua, Gim Hee Lee. Few-shot 3D Point Cloud Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  • Na Zhao, Tat-Seng Chua, Gim Hee Lee. SESS: Self-Ensembling Semi-Supervised 3D Object Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (Oral paper)
  • Na Zhao, Tat-Seng Chua, Gim Hee Lee. PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation. International Conference on Pattern Recognition (ICPR), 2020.

Research Grants

  • Principal Investigator, DSO Research Grant (2023.12-2026.12)
  • Co-Investigator, A*STAR RIE2025 MTC Programmatic Grant (2023.8-2026.8)
  • Principal Investigator, SUTD-ZJU Thematic Research Grant (2022.12-2024.11)
  • Principal Investigator, TL@SUTD Seed Grant (2022.10-2024.4)

Open Positions

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