Xue Yang is now a Researcher at OpenGVLab, Shanghai AI Laboratory, collaborated with Prof. Jifeng Dai and Dr. Xizhou Zhu. Xue Yang's research interests include Deep Learning and Computer Vision, with a focus on Generic/Oriented Object Detection/Instance Segmentation, AI Agent, Vision-Language Models.
Xue Yang received the B. E. degree from School of Information Science and Engineering, Central South University, Hunan, China, in 2016. He received the M. S. degree from School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China, in 2019. Xue Yang obtained the Ph.D. degree from Wu Honor Class (吴文俊人工智能博士班), Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China, in 2023. His research advisor is Prof. Junchi Yan.
Xue Yang has published about 50 papers at the top-tier international CV/ML/AI conferences and journals, such as TPAMI, IJCV, CVPR, ECCV, ICCV, ICML, NeurIPS, ICLR, AAAI and ACM MM. He is also the leading contributor to the MMRotate , AlphaRotate and JDet open-source projects for oriented object detection, and with 8000+ stars in Github. Xue Yang won SJTU Outstanding Doctoral Dissertation (2023), CCF Outstanding Doctoral Dissertation Award (2023), CCF-CV Academic Emerging Scholar (2022), Shanghai Outstanding Graduates (2023), Doctoral National Scholarship (2021/2022), SJTU Scholar Star Nomination Award (2021), and also selected into the World's Top 2% Scientists 2022/2023 List.
I will be joining the Department of Automation, Shanghai Jiao Tong University as an Assistant Professor in the spring of 2025. Looking for self-motivated Ph.D., master and undergraduate to join my research group with the goal of dong impactful work on the topic of Computer Vision, Vision-Language Models, Remote Sensing (AI4RS), etc. Please do not hesitate to contact me via email.