Duo Su (苏铎)
I am a postdoctoral researcher in the Department of Computer Science and Technology, Tsinghua University, collaborating with Prof. Jun Zhu. Before that, I obtained my Ph. D. degree from the School of Computer Science and Technology, University of Chinese Academy of Sciences in July, 2024 advised by Prof. Yingjie Tian.
My research focuses on developing efficient deep learning algorithms under limited resources. My current interests include Data-Centric AI, AIGC and Visual Understanding.
News
- 2024/08 We won the 3rd place in the 1st DD challenge @ ECCV 2024
- 2024/06 I obtained my Ph. D. degree after four years of diligent work.
- 2024/02 One paper accepted in CVPR 2024.
Publications
2024
Generative Dataset Distillation Based on Diffusion Model
Duo Su, Junjie Hou, Guang Li, Ren Togo, Rui Song, Takahiro Ogawa, Miki Haseyama
European Conference on Computer Vision Workshop (ECCV), Milano, Italy, 2024D4M: Dataset Distillation via Disentangled Diffusion Model
Duo Su, Junjie Hou, Weizhi Gao, Yingjie Tian, Bowen Tang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2024Unified Image Harmonization with Region Augmented Attention Normalization
Junjie Hou, Yuqi Zhang, Duo Su
Annals of Data Science, 2022Adaptive Robust Loss for Landmark Detection
Yingjie Tian, Duo Su, Shilin Li
Information Fusion, 2024
2023
- Linear-Exponential Loss Incorporated Deep Learning for Imbalanced Classification
Saiji Fu, Duo Su, Shilin Li, Shiding Sun, Yingjie Tian
ISA Transactions, 2023
2022
- Recent advances on loss functions in deep learning for computer vision
Yingjie Tian, Duo Su, Stanislao Lauria, Xiaohui Liu
Neurocomputing, 2022
Services
Invited Speaker
- 2023/12 I was invited to give an academic report on the ‘ShuYunGuangZhi’ Academic Innovation Forum at the Department of Mathematics in Science College, CAU.
Reviewer
Journal: TPAMI, TNNLS, TMLR, TCSVT, KBS, Neurocomputing
Conference: AAAI, IJCAI
Competitions
- Our team (Guang Li, Duo Su, Junjie Hou, Ren Togo, Rui Song, Takahiro Ogawa, Miki Haseyama) won the third place in The First Dataset Distillation Challenge @ ECCV 2024 Workshop.
Honors and Awards
- Beijing Outstanding Graduate Award, 2020.06
- Beijing Outstanding Graduate Award, 2017.06