Yibing Wang  

Ph.D. candidate


School of Electronic, Electric and Communication System
University of Chinese Academy of Science
Beijing, China.

Email: wangyibing18@mails.ucas.ac.cn;
Github: https://github.com/IceWYB;
Google scholar: https://scholar.google.com/citations?user=Q3098HcAAAAJ

Biography

I am a Ph.D. candidate in the School of Electronic, Electric and Communication System, University of Chinese Academy of Science, advised by Prof. Jianbin Jiao. I got a B.E. degree in the University of Chinese Academy of Science in June 2022.

My research interests include computer vision and deep learning, specifically for multimodal learning.

Academic Services

Journal Reviewer: IJCV, ICML, CVPR, etc.

Publications

* Jiajun Liu, * Yibing Wang, Hanghang Ma, Xiaoping Wu, Xiaoqi Ma, Xiaoming Wei, Jianbin Jiao, Enhua Wu, and Jie Hu
Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input
[Paper] [Project] [Code] [Model]
* Zigang Geng, * Yibing Wang, Yeyao Ma, Chen Li, Yongming Rao, Shuyang Gu, Zhao Zhong, Qinglin Lu, Han Hu, Xiaosong Zhang, Linus, Di Wang and Jie Jiang
X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again
[Paper] [Code] [Project] [Model] [Space]
Gong, Kaixiong and Feng, Kaituo and Li, Bohao and Yibing Wang and Cheng, Mofan and Yang, Shijia and Han, Jiaming and Wang, Benyou and Bai, Yutong and Yang, Zhuoran
AV-Odyssey Bench: Can Your Multimodal LLMs Really Understand Audio-Visual Information?
[Paper] [Project] [Code] [Dataset]
Feng, Kaituo and Gong, Kaixiong and Li, Bohao and Guo, Zonghao and Wang, Yibing and Peng, Tianshuo and Wang, Benyou and Yue, Xiangyu
Video-R1: Reinforcing Video Reasoning in MLLMs
[Paper] [Code] [Model] [Data]