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).
• PhD Recruitment
Fundamental Research (Academic PhD, 2–3 positions, including direct-entry PhD and grant-funded PhD) Requirements: During the master’s program, at least one paper published in a CCF-B tier conference or journal. Primary responsibility is to produce high-quality publications in the team’s research areas.
Applied & Interdisciplinary Research (Grant-funded / Engineering PhD, 1–2 positions; training costs covered by the team) Requirements: Strong hands-on programming skills. During the PhD, in addition to fundamental research, you will also help execute team projects in related areas.

News

• Congratulations to the team members on having their paper accepted by the IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS-2025)!
• Congratulations to the team members on having their paper accepted by the Proceedings of the 39th Conference on Neural Information Processing Systems (NeurIPS-2025, Oral)!
• Congratulations to the team members on having their paper accepted by the Proceedings of the 25th IEEE International Conference on Data Mining (ICDM-2025)!
• Congratulations to the team members on having their paper accepted by the Proceedings of the 33th ACM International Conference on Multimedia (ACM MM-2025)!
• Congratulations to the team members on having their paper accepted by the Proceedings of the 28th European Conference on Artificial Intelligence (ECAI-2025)!