NJUST KMG

School of Computer Science and Engineering,
Nanjing University of Science & Technology

Introduction

Knowledge Mining Group (KMG) is affiliated with the PCA Lab, School of Computer Science and Engineering, Nanjing University of Science and Technology, China.
KMG focuses on multimodal learning, incremental learning, and model reuse in machine learning and data mining. We also emphasize the practical application of our research findings in real-world contexts, including image retrieval, video scene segmentation, and novelty detection. For further details on our work, please visit the Publications page.
AI Interest QQ Group: 664395751.

Recruitment Introduction

We are currently in search of outstanding individuals to join our group. We welcome PhD and master's students, as well as undergraduate students interested in research training or completing their final year projects, to become part of our team. We are looking for individuals who possess a strong passion for academia, a diligent work ethic, and the drive to overcome challenges.
Furthermore, we offer opportunities for exceptional interns, including collaborative training programs with esteemed partner enterprises. As an intern with us, you will have the opportunity to engage in challenging and cutting-edge research projects, working closely with industry partners to gain invaluable practical experience.
If you are interested and meet the requirements, please do not hesitate to contact Prof. Yang Yang or Associate Prof. Weili Guo for further information and application procedures. We look forward to hearing from you and welcoming you into our group.
[Tips 1]For students aspiring to pursue a master's or doctoral degree, we encourage you to showcase your proficient programming skills, good command of English, and effective communication abilities. We will provide you with various training and guidance to support your steady growth.
[Tips 2]We expect you to engage in high-quality scientific research and strive to publish outstanding academic achievements in top-tier journals and conferences that withstand the test of time, rather than solely focusing on obtaining a degree.

News

  • Congratulations to the team members on their achievement of being crowned as champions of the ICCV 2023 Grounded videoQA Challenge! [Report]
  • Congratulations to the team members on their achievement of being crowned as champions of the ICCV 2023 SMART-101 Challenge! [Report]
  • Congratulations to the team members on their achievement of being crowned as champions of the ICCV 2023 Emotion Prediction Challenge! [Report]
  • Congratulations to the team members on their achievement of being crowned as champions of the ICCV 2023 Perception Test Single Point Tracking Challenge! [Report]
  • Congratulations to the team members on their achievement of being crowned as champions of the ICCV 2023 Scientific Figure Caption Challenge! [Report]
  • Congratulations to the team members on having their paper accepted by the Thirty-seventh Conference on Neural Information Processing Systems(NeurIPS)!
  • Congratulations to the team members on having their paper accepted by the Proceedings of the IEEE International Conference on Data Mining (ICDM)! [Code]