Name: Zhou Tongchi
Gender: Male
Professional Title: Associate Professor
Degree: Ph.D.
Education and Work Experience:
1. January 2024–present, School of Integrated Circuits, Zhongyuan University of Technology
2. May 2016–January 2024, School of Electronic Information, Zhongyuan University of Technology
3. August 2011–May 2016, Ph.D. student, School of Information Science and Engineering, Southeast University
4. September 2008–June 2011, Master's student, School of Information Science and Engineering, Xinjiang University
5. 2005–2008, Wuxi Feixiang Electronics Co., Ltd.
6. 2004–2005, Zhengzhou Huihuang Technology Co., Ltd.
7. September 2001–June 2004, Network Technology and Information Processing, Zhengzhou Railway Vocational & Technical College
Research Directions:
1. Computer vision
2. Pattern recognition
Academic Research Projects:
1. Henan Science and Technology Research Project: Research and Application of GCN-Based Human Action Recognition in Intelligent Unmanned Systems, January 2025–December 2026, Principal Investigator.
2. Zhongyuan University of Technology Discipline Capacity Enhancement Program (Faculty Category), May 2024–May 2026, Principal Investigator.
3. Henan Higher Education Key Research Project: Research and Application of Visual Behavior Recognition Based on a Neighborhood Matrix and Attention-Based Graph Convolutional Network, January 2024–December 2025, ongoing; role shown as “support” on source.
Representative Papers:
[1] Zhou, Tongchi, et al. Improved gated recurrent units together with fusion for semantic segmentation of remote sensing images based on parallel hybrid network[J]. Multimedia Systems, 31(1) (2025): 76.
[2] Zhou, T. C., et al. Topology Learning by Context Embedding and Channel Refinement for Skeletal Behavior Recognition[J]. IEEE Access, 12 (2024): 181106–181115.
[3] Zhou Tongchi, Zhao Qifeng, Luo Zheng. Research and Applications of AI Vision Theory[M]. China Textile & Apparel Press Co., Ltd., July 1, 2024.
[4] Zhou T, Tao A, Sun L, et al. Behavior recognition based on the improved density clustering and context-guided Bi-LSTM model[J]. Multimedia Tools and Applications, 2023, 82(29): 45471–45488.
Contact:
Email: tongchizhou@zut.edu.cn
