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.
📖 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
- 2025.05: 🎉🎉 one paper is accepted by ICML 2025.
- 2025.02: 🎉🎉 three paper are accepted by CVPR 2025.
- 2023.07: 🎉🎉 One paper is accepted by ICCV 2023.
-
2023.03: 🎉🎉 One paper is accepted by CVPR 2023.
🎖 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.
📝 Publications
Tackling View-Dependent Semantics in 3D Language Gaussian Splatting
Jiazhong Cen, Xudong Zhou, Jiemin Fang, Changsong Wen, Lingxi Xie, Xiaopeng Zhang, Wei Shen, Qi Tian
Domain Generalization in CLIP via Learning with Diverse Text Prompts
Changsong Wen, Zelin Peng, Yu Huang, Xiaokang Yang, Wei Shen
Yuheng Feng*, Changsong Wen*, Zelin Peng, Li jiaye, Siyu Zhu
Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space
Zelin Peng, Zhengqin Xu, Zhilin Zeng, Changsong Wen, Yu Huang, Menglin Yang, Feilong Tang, Wei Shen
Ordinal Label Distribution Learning
Changsong Wen, Xin Zhang, Xingxu Yao, Jufeng Yang
DIP: Dual Incongruity Perceiving Network for Sarcasm Detection
Changsong Wen*, Guoli Jia*, Jufeng Yang