Group Introduction
KMG is affiliated with the School of Computer Science and Engineering at Nanjing
University of Science and Technology, located in the Dingxin Building of the Nanjing Campus. The group is led
by Professor Yang Yang.
The meaning of KMG is "Knowledge Mining Group." The primary research interests of KMG include data mining, machine learning, pattern recognition, and foundational, cutting-edge, and innovative research in related fields. Currently, the main research focus revolves around data mining in open environments, particularly on multimodal learning, open-set learning, and incremental learning, as well as their applications in real-world scenarios. Special attention is given to the application of these technologies in intelligent collaborative perception, understanding, and decision-making for aerospace vehicles. For
more detailed research information, please visit
Publications.
Recruitment Introduction
We welcome students who are interested in applying for postdoctoral
positions, pursuing Ph.D. or Master's degrees, as well as undergraduates who wish
to participate in scientific research training or complete their graduation thesis to join our group.
If you wish to apply for a postdoctoral position or pursue a Ph.D. degree at KMG,
please contact Professor Yang Yang; if you wish to pursue a Master's
degree at KMG, please contact Professor Yang Yang, Professor Wei Li Guo, or Professor Qing Yuan Jiang via email. If you are interested in
undergraduate research training or a graduation thesis (limited to Nanjing University of Science and
Technology students), please contact the specific teacher via email. PS: Please attach your resume to the
above emails.
Before sending the email, please take the time to read the following instructions to
confirm that we share the same research concepts and interests:
- Research Qualifications
We expect you to have a solid mathematical foundation, proficient English reading and writing skills,
strong programming abilities, and excellent team collaboration spirit.
- Personal Qualities
We expect you to possess the spirit of hard work, optimism, and positivity in scientific research (the
path of scientific research is not always smooth), as well as to be honest and trustworthy (this is the
basic requirement for scientific research), and to have a sense of responsibility (responsible for your
own research, and also for the team and society).
- Future Planning
We expect you to be clear about whether you are inclined to continue in academic research or to work in a
company (we will design different training methods accordingly).
Please carefully consider and self-assess based on the above requirements, and then
describe in detail in the email how you meet these conditions. We are very keen to understand your background
and experience, especially in terms of research qualifications, personal qualities, and future planning. This
will help both parties to better judge whether we can work together in the future academic journey. We look
forward to receiving your feedback and sincerely hope that we can become like-minded partners, exploring the
vast world of academia together.
We still have a few openings for the second batch of PhD students starting in 2025. Feel free to reach out!
News
-
Congratulations to the team members on having their paper accepted by the Proceedings of the 42th International Conference on Machine Learning (ICML-2025)!
-
Congratulations to the team members on having their paper accepted by the Proceedings of the 42th International Conference on Machine Learning (ICML-2025)!
-
Congratulations to the team members on having their paper accepted by the Proceedings of the 34rd International Joint Conference on Artificial Intelligence (IJCAI-2025)!
-
Congratulations to the team members on having their paper accepted by the Proceedings of the 34rd International Joint Conference on Artificial Intelligence (IJCAI-2025)!
-
Congratulations to the team members on having their paper accepted by the Proceedings of the 34rd International Joint Conference on Artificial Intelligence (IJCAI-2025)!