Short Bio
I am Ruize Xu, a senior undergraduate at Renmin University of China . I will receive my bachelor’s degree in Data Science and Big Data Technology at school of statistics in 2023 fall. I spent wonderful months in UC Davis as a visiting student. I was also fortunate to work with Prof. Wang Xin at UC Santa Cruz . Now I work at GeWu lab with Prof. Di Hu . He is a thoughtful and talented young researcher who leads me to the gate of AI research. Great admiration!
Now I am a research intern at Baidu on NeRF. An attempt to AIGC!
Research Interest
I am interested in computer vision and multi-modal machine learning. My research direction can be generalized as:
- Explainable multi-modal perception with cross-modal interaction. Language-guided multimodal learning.
- Balanced, fair, robust and efficient machine learning.
- Causal inference in NLP and Computer Vision.
Publication
Ruize Xu, Ruoxuan Feng, Shi-xiong Zhang and Di Hu, ‘MMCosine: Multi-Modal Cosine Loss Towards Balanced Audio-Visual Fine-Grained Learning’, ICASSP' 2023. [paper] [project] [code]
Kenan Jiang, Xuehai He, Ruize Xu and Xin Wang, ‘ComCLIP: Training-Free Compositional Image and Text Matching’, 2022, under review. [paper]
Contact
- E-mail: xrz0315@ruc.edu.cn