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Computer Science and Artificial Intelligence

Hui Huang



Hui Huang


B.Sc, March,2008

Professional Experiences

Hui Huang is a deputy dean of College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China. He received his Master’s degree in computer software and theory from Zhejiang University of Technology in 2008. He is now working for his Ph.D. in Northwestern Polytechnical University.

Research Interests

image processing, parallel computing and machine learning.


Projects and Supervisions
  1. Grant from the National Natural Science Foundation of China, Grant NO. 62072340, 2021.1~2024.12.

  2. Grant from the National Natural Science Foundation of China, Grant NO. 62072340, 2018.1~2020.12.

  3. Grant from the Zhejiang Provincial Natural Science Foundation of China, Grant NO. LSZ19F020001, 2019.1~2022.12.

  4. Grant from the Zhejiang Provincial Natural Science Foundation of China, Grant NO. LQ12F02010, 2012.1~2014.12.

  • Xinyu Wang, Huiling Chen, Ali Asghar Heidari, Xiang Zhang, Jian Xu, Yitie Xu, Hui Huang(Corresponding author). Multi-population following behavior-driven fruit fly optimization: A Markov chain convergence proof and comprehensive analysis. Knowledge-Based Systems, 2020, 210.

  • Abdoul Fatakhou Ba, Hui Huang(Corresponding author), Mingjing Wang, Xiaojia Ye, Zhiyang Gu, Huiling Chen, Xueding Cai. Levy‑based antlion‑inspired optimizers with orthogonal learning scheme. Engineering with Computers, 2020, 06.

  • Yang Li , Yu Liu, Wei-Gang Cui , Yu-Zhu Guo , Hui Huang, and Zhong-Yi Hu. Epileptic Seizure Detection in EEG Signals Using a Unified Temporal-Spectral Squeeze-and-Excitation Network. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 28(4).

  • Hui Huang, Xi'an Feng, Ali Asghar Heidari, Yueting Xu, Mingjing Wang, Guoxi Liang, Huiling Chen, and Xueding Cai. Rationalized Sine Cosine Optimization With Efficient Searching Patterns. IEEE ACCESS, VOLUME 8, 2020.

  • Hui Huang, Xi ’an Feng, Suying Zhou, Jionghui Jiang, Huiling Chen*, Yuping Li and Chengye Li. A new fruit fly optimization algorithm enhanced support vector machine for diagnosis of breast cancer based on high-level features. BMC Bioinformatics, 2019, 20(Suppl 8):290.

  • Yang Li, Wei-Gang Cui, Hui Huang(Corresponding author), Yu-Zhu Guo, Ke Li ,Tao Tan. Epileptic seizure detection in EEG signals using sparse multiscale radial basis function networks and the Fisher vector approach. Knowledge-Based Systems, 2019, 164:96-106.

  • Jionghui Jiang, Xi’An Feng, Fen Liu, Yingying Xu, Hui Huang(Corresponding author). Multi-Spectral RGB-NIR Image Classification Using Double-Channel CNN. IEEE ACCESS, 2019, 6: 20607-20613.

  • Xujie Li, Hui Huang(Corresponding author), Yandan Wang, Mingxiao Hu. Geodesic distance framework for contour-based consistent stereo image segmentation. J. Electron. Imaging, 2018, 27(5).

  • Hui Huang,Xi’an Feng,Jionghui Jiang,Medical Image Fusion Algorithm Based on Nonlinear Approximation of Contourlet Transform and Regional Features. Journal of Electrical and Computer Engineering,

  • Kejie Wang, Huiling Chen, Qiang Li, Junjie Zhu, Shubiao Wu, Hui Huang*(Corresponding author). 3D-FOAdis: an improved fruit fly optimization for function optimization. The Eighth International Conference on Swarm Intelligence (ICSI’2017), Part I, LNCS 10385, pp. 618&n

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