Conghui He


Research Director, Sensetime

Research Scientist & PI, Shanghai AI Laboratory

I am currently a Research Director at SenseTime Inc., as well as a Research Scientist and PI at the Shanghai AI Laboratory. Prior to this, I worked at WeChat as a Senior Researcher, where I initiated and developed the high-performance graph computing framework, Plato. Before joining WeChat, I earned my PhD degree (2013-2018) from the Department of Computer Science at Tsinghua University under the supervision of Prof. Haohuan Fu, and my Bachelor’s degree (2009-2013) from the Department of Software Engineering at Sun Yat-Sen University.

My research interests include High Performance Computing, Computer Vision, and Large Language Models. In 2017, I was honored with the Gordon Bell Prize , which is the highest distinction in the high-performance computing application domain. Currently, I lead the OpenDataLab team, which aims to build an influential open dataset platform that facilitates the development, analysis and research of Artificial General Intelligence (AGI). Additionally, I oversee a data team that collects and curates massive datasets for large language models.

At SenseTime and the Shanghai AI Laboratory, we are actively hiring PhDs, postdocs, interns, and full-time researchers. If you’re interested in joining our team, please feel free to reach out to me via email.

selected publications

  1. gao2023llama.png
    Llama-adapter v2: Parameter-efficient visual instruction model
    Peng Gao, Jiaming Han, Renrui Zhang, and 8 more authors
    arXiv preprint arXiv:2304.15010, 2023
  2. V3det: Vast vocabulary visual detection dataset
    Jiaqi Wang, Pan Zhang, Tao Chu, and 6 more authors
    arXiv preprint arXiv:2304.03752, 2023
  3. CVPR
    Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving
    Xiaosong Jia, Penghao Wu, Li Chen, and 4 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
  4. CVPR
    OmniCity: Omnipotent city understanding with multi-level and multi-view images
    Weijia Li, Yawen Lai, Linning Xu, and 5 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
  5. shao2021intern.png
    Intern: A new learning paradigm towards general vision
    Jing Shao, Siyu Chen, Yangguang Li, and 8 more authors
    arXiv preprint arXiv:2111.08687, 2021