Chengfeng Jian
Papers
2
Total Citations
56
H-Index
2
About
Dr. Chengfeng Jian is a leading researcher at the forefront of cloud manufacturing and intelligent scheduling, with a core focus on optimizing industrial processes for the Industry 4.0 era. His major contributions lie in developing hybrid learning models and deep reinforcement learning (DRL) strategies to solve critical challenges in real-time task scheduling and resource allocation. Notably, his 2020 work on a "cloud edge-based two-level hybrid scheduling learning model" (49 citations) directly addresses the pressing issues of long scheduling times, high communication delays, and load imbalance among edge nodes in smart factories. This foundational research has been further advanced by his 2024 study introducing a DRL-based online method with an improved sparrow search algorithm (ISSA). By integrating edge and cloud computing, Dr. Jian’s work enables more efficient, responsive, and balanced industrial service workflows, making him a key figure in the evolution of smart manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A DRL-based online real-time task scheduling method with ISSA strategy7 citations · 2024