About Me

I come from Changzhi City in Shanxi Province, China, known for its rich cultural heritage and legendary tales. I began my academic journey at North University of China, specializing in automatic control theory and embedded systems. In 2020, I earned my Bachelor’s degree, laying the foundation for my career. Now, I’m pursuing a Master’s degree at Nanjing Normal University, focusing on human behavior recognition, ubiquitous computing, and deep learning. I’m fortunate to be a research scholar under Associate Professor Zhang Lei, an expert in this field. I’m passionate about deep learning, particularly in object detection and image generation, aiming to contribute to future research and practical applications. Besides academics, I’m enthusiastic about street dancing and believe it fosters teamwork and creativity, valuable qualities in both sports and academia.

Research Interests

• Computer Vision
• Human Activity Recognition

Publications

• “Towards Better Accuracy-Efficiency Trade-Offs: Dynamic Activity Inference via Mutual Learning from Various Width-Resolution Configurations” (Status: Major Review.)
  Authors: Lutong Qin, Lei Zhang✉, Chaoda Song, Dongzhou Cheng, Shuoyuan Wang, Hao Wu, Aiguo Song
  PDF Bib Code

• “MaskCAE: Masked Convolutional AutoEncoder for Self-Supervised Human Activity Recognition” (Status: Published)
  Authors: Dongzhou Cheng, Lei Zhang, Lutong Qin, et al.
  IEEE Journal of Biomedical and Health Informatics. (CCF-C class journal, TOP journal in Zone 1 of Chinese Academy of Sciences, IF: 7.7)

• “Revisiting Large-Kernel CNN Design via Structural Re-Parameterization for Sensor-Based Human Activity Recognition” (Status: Published)
  Authors: Minghui Yao, Lei Zhang, Dongzhou Cheng, Lutong Qin, et al.
  IEEE Sensors Journal. (TOP journal in Zone 2 of Chinese Academy of Sciences, IF: 4.3)

Contact

• Institution: School of Electrical and Automation Engineering, Nanjing Normal University, China
• E-mail: 211843003@njnu.edu.cn