Zelin Peng
Short Bio
I am a third-year Ph.D. student at Shanghai Jiao Tong University (SJTU), supervised by Prof. Wei Shen. My research interests include parameter-efficient learning, semantic segmentation, and medical image analysis.
Recently, I am working on multi-modal learning and medical image segmentation.
Education
- 2022.9 - Now Ph.D. in the MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, supervised by Prof. Wei Shen.
- 2019.9 - 2022.6 M.E. in the School of Artificial Intelligence, Xidian University, supervised by Prof. Xiangrong Zhang.
- 2015.9 - 2019.6 B.E. in the School of Artificial Intelligence, Xidian University.
News
[2025.02] Six paper are accepted by CVPR.
[2024.12] One paper is accepted by AAAI.
[2024.08] One paper is accepted by BIBM.
[2024.07] One paper is accepted by MICCAI.
[2024.04] One paper is accepted by TNNLS.
[2024.03] One paper is accepted by CVPR.
[2023.12] Two paper are accepted by AAAI.
[2023.07] One paper is accepted by ICCV.
[2023.03] One paper is accepted by TPAMI.
[2023.01] One paper is accepted by ISPRS.
[2022.07] One paper is accepted by IJCAI.
[2021.07] One paper is accepted by ACMMM.
Selected Publications
[1] Z. Peng, Z. Xu, Z. Zeng, L. Xie, Q. Tian, W. Shen, “Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (CCF A).
[2] Z. Peng, Z. Xu, Z. Zeng, X. Yang, W. Shen, “Sam-parser: Fine-tuning sam efficiently by parameter space reconstruction”, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), (CCF A).
[3] Z. Peng, G. Wang, L. Xie, D. Jiang, W. Shen, Q. Tian, “Usage: A unified seed area generation paradigm for weakly supervised semantic segmentation”, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), (CCF A).
[4] Z. Peng, Z. Xu, Z. Zeng, C. Wen, Y. Huang, M. Yang, F. Tang, W. Shen, “Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (CCF A).
[5] Z. Peng, Z. Xu, Z. Zeng, Y. Huang, Y. Wang, W. Shen, “Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (CCF A).
[6] Z. Peng, Y. Huang, Z. Xu, F. Tang, M. Hu, Y. Wang, W. Shen, “Star with Bilinear Mapping”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), (CCF A).
Award
