Rate My Professor Defu Zhang

Zhang's research specializations encompass computational intelligence, data mining, big data analytics and processing, cloud computing, business intelligence, knowledge engineering, granular computing, optimization algorithms, and combinatorial optimization, with applications in finance, restaurant management, logistics, and intelligent agriculture. He directs the Big Data and Computational Intelligence team, consisting of four professors, eight associate professors, two assistant professors, and more than thirty graduate students, and has spearheaded projects such as algorithm.xmu.edu.cn and Research on Parallel Metaheuristic Algorithms based on Spark funded by the National Natural Science Foundation of China. A senior member of the China Computer Federation and member of its Computer Theory Professional Committee, Zhang has published over 50 SCI papers, garnering more than 10,000 citations on Google Scholar with an H-index of 33. Key works include "Using deep transfer learning for image-based plant disease identification" (2020), "Detection of rice plant diseases based on deep transfer learning" (2020), "A simulated annealing algorithm for the capacitated vehicle routing problem with two-dimensional loading constraints" (2018), and "A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression" (2015). His students have excelled, securing three gold medals in ACM/ICPC, national Spark developer competition championships, and gold in Internet+ innovation contests.