I’m a first-year PhD student from the School of Computer Science, Shanghai Jiaotong University. I received my Master’s degree from Nankai University and my Bachelor’s degree from Xidian University in 2017 and 2021, respectively. I am very fortunate to be advised by Prof. Wei Shen.

My research interests lie in the fields of computer vision and deep learning, with a particular focus on image-text multi-modal learning, semantic segmentation, and label distribution learning. I am driven by the challenge of creating models that can understand and generate meaningful representations from complex, multi-modal scenes. Please feel free to contact me through email: changsong@sjtu.edu.cn.

🎖 Honors and Awards

  • 2023.10 National Scholarship.
  • 2022.11 Gongneng Scholarship of Nankai University.
  • 2021.11 Recommended Scholarship of Nankai University.
  • 2021.07 Outstanding Graduates Awards.
  • 2020.10 Special Scholarship of Xidian University.

📖 Educations

  • 2024.09 - 2028.06 (now), PhD student of Shanghai Jiaotong University.
  • 2021.09 - 2024.06, Master student of Nankai University.
  • 2017.09 - 2021.07, Undergraduate student of Xidian University.

🔥 News

  • 2023.07:  🎉🎉 One paper is accapted by ICCV 2023.
  • 2023.03:  🎉🎉 One paper is accapted by CVPR 2023.

📝 Publications

CVPR 2023
sym

DIP: Dual Incongruity Perceiving Network for Sarcasm Detection

Changsong Wen, Guoli Jia, Jufeng Yang

Project

  • This paper explores image-text sarcasm data by explicitly investigating incongruity from factual and affective aspects.
ICCV 2023
sym

Ordinal Label Distribution Learning

Changsong Wen, Xin Zhang, Xingxu Yao, Jufeng Yang

Project

  • This paper integrates ordinal relations between labels and proposes an Ordinal Label Distribution Learning (OLDL) paradigm.