Zhen ZHAO

Zhen ZHAO

Researcher in ML/CV/PR

Zhen ZHAO (赵振) has been with the OpenEarthLab at the Shanghai AI Laboratory, and the New Power System Research Center at the Huairou Laboratory, as a Researcher, since June 2024. Dr. ZHAO obtained his Ph.D. from the School of Electrical and Computer Engineering, the University of Sydney (USYD), under the supervision of Prof. Luping Zhou and Prof. Wanli Ouyang from the USYD and Prof. Lei Wang from the University of Wollongong. His research interests include exploring semi/self-supervised learning techniques for label-efficient perception and developing multimodal foundation models for reasoning & decision-making tasks. Most recently, he focuses on AI for Energy\& Healthcare, especially grid state estimation, trustworthy energy operations, and agent-based decision-making.

Prospective Interns:

1) senior students in heterogeneous graph learning/graph foundation models for solving power/energy related issues from the data-driven perspective. 2) self-motivated junior students, who may seek the opportunity of Joint Training Ph.D. Project, supervised by Prof. Lei Bai.

News

  • [01/2025] Our UniMatch V2 on semi-supervised segmentation is accepted by TPAMI and our study on radio galaxies identification is accepted by APJS.
  • [01/2025] Our SoeDiff on small object editing is accepted by ToMM, and CLCS on noisy segmentation is accepted by TMI.
  • [10/2024] Our GPT4Video has been selected as Oral presentation and nominated for Best paper awards by ACM MM 2024.
  • [09/2024] Our paper Depth Anything V2 is accepted by NeurIPS 2024 and integrated into Apple Core ML Models.
  • [08/2024] Our paper (Anim-Director) on LLM agent for video generation is accepted by SIGGRAPH Asia 2024.
  • [07/2024] Two papers on LLM for video understanding & generation (GPT4Video) and a benchmark of small object editing (SoEBench) are accepcted by ACM MM 2024.
  • [07/2024] Our paper on LLM for autonomous driving (DriveGPT4) is accepted by IEEE RA-L.
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  • [08/2024] Our MPL on the fast adaptation of VLMs is accepted by IJCV.
  • [07/2024] Two papers on semi-supervised segmentation (AD-MT) and unsupervised domain adaptation for point cloud (PCFEA) are accepted by ECCV 2024.
  • [12/2023] Our paper SoC4SS on semi-supervised fine-grained learning is accepted by AAAI 2024.
  • [07/2023] Four papers on semi-supervised learning and fast adaptation of large foundation models are accepted by ICCV 2023 (one is selected as Oral).
  • [07/2023] Our paper on semi- and barely-supervised learning is accepted by ACM MM 2023.
  • [02/2023] Four papers on semi-supervised semantic segmentation and efficient Vision Transformer pruning are accepted by CVPR 2023.
  • [11/2022] Our paper on barely-supervised Learning is accepted by NIPS 2022 (Spotlight).
  • [03/2022] Our paper on mismatched semi-supervised Learning is accepted by CVPR 2022.
  • [12/2021] Our paper on semi-supervised Learning is accepted by AAAI 2022 (Oral).
  • [01/2021] Registered as a Ph.D. Student @ USYD after a 2-year break.

Selected Publications

  • Zhen Zhao, Zicheng Wang, Longyue Wang, Dian Yu, Yixuan Yuan, and Luping Zhou. “Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation.” ECCV, 2024. Code

  • Zhao, Zhen, Lihe Yang, Sifan Long, Jimin Pi, Luping Zhou, and Jingdong Wang. “Augmentation matters: A simple-yet-effective approach to semi-supervised semantic segmentation.” In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp. 11350-11359. 2023. Code

  • Zhao, Zhen, Luping Zhou, Lei Wang, Yinghuan Shi, and Yang Gao. “Lassl: Label-guided self-training for semi-supervised learning.” In Proceedings of the AAAI conference on artificial intelligence, vol. 36, no. 8, pp. 9208-9216. 2022. (Oral) Code
  • Zhen Zhao, Tao An, Baoqiang Lao, “VLBI network simulator: an integrated simulation tool for radio astronomers”, Journal of The Korean Astronomical Society, vol. 52, no. 5, pp. 207-216, 2019. Code
  • Zhen Zhao, Shiwei Huang, and Jun Cai. “An Analytical Framework for IEEE 802.15. 6-Based Wireless Body Area Networks With Instantaneous Delay Constraints and Shadowing Interruptions.” IEEE Transactions on Vehicular Technology 67, no. 7 (2018): 6355-6369.

Selected Honors

  • IEEE Trans. on Medical Imaging Distinguished Reviewer, 2024
  • DAAD AInet fellow for the Postdoc-NeT-AI 11/2023 Networking Week on Human-centered AI, Germany, 2023
  • PhD International Mobility for Partnerships and Collaborations Award, CUHK, Hong Kong, 2023
  • Faculty of Engineering Research Scholarship @ USYD, 2020
  • University of Sydney International Scholarship (USydIS)， 2019
  • International Graduate Student Scholarship (IGSS), 2014 - 2015 @ University of Manitoba.
  • First-class scholarship of China Aerospace Science and Technology Corporation Scholarship, 2013.
  • The National Scholarship, 2012
  • National First Prize in the Mathematical Contest in Modeling, China, 2012

Professional Activities

  • Conference Reviewer
    • IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
    • IEEE International Conference on Computer Vision (ICCV)
    • European Conference on Computer Vision (ECCV)
    • Neural Information Processing Systems (NeurIPS)
    • International Conference on Learning Representations (ICLR)
    • International Conference on Machine Learning (ICML)
  • Journal Reviewer
    • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
    • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
    • IEEE Transactions on Medical Imaging (TMI)
    • Medical Image Analysis (MedIA)
    • Pattern Recognition (PR)

Interesting Demos