YUN Ben-Sheng

Brief Education and Work Background

University of Central Florida, Visitor, Mar 2016 - Mar 2017

Zhejiang University of Science and Technology, Jun 2010 - Present

Tongji University, Doctor of System Engineering, Mar 2006 - Dec 2009

Tongji University , Master of Mathematics, Sep 2003 - Feb 2006

Zhejiang University of Science and Technology, Electronic Information (Master Tutor)

Email: yunbsh@zust.edu.cn

Main Research Interests
1. Big data analysis and mining.

2. Machine Learning/Deep Learning.

Main Research Projects

1. The Industry-University-Research innovation fund of Chinese colleges under grant agreement (No.2022IT009), Sep 2022 - Aug 2023.

2. The National Natural Science Foundation of China under grant agreement (No.61972357), Jan 2019 - Dec 2023.

3. The Program of Science and Technology department of Zhejiang Province (No. LGG19F030001), Jan 2019 - Dec 2021.

4. The National Natural Science Foundation of Zhejiang Province under grant agreement (No.Y17F020059), Jan 2017 - Dec 2019.

Main Published Papers

[1] Carlos Rodrigo Paredes Ocaranza，Bensheng Yun*, Enrique Daniel Paredes Ocaranza. Traditional Machine Learning Outperforms EEGNet for Consumer-Grade EEG Emotion Recognition: A Comprehensive Evaluation with Cross-Dataset Validation. Sensors, 25(23):7262; https://doi.org/10.3390/s25237262

[2] Bensheng Yun*, Xiaohan Xu, Jie Zeng, Zhenyu Lin, Jin He and Qiaoling Dai. An Improved Unmanned Aerial Vehicle Forest Fire Detection Model Based on YOLOv8, Fire, 2025, 8(4): 138; https://doi.org/10.3390/fire8040138

[3] Zhenyu Lin, Bensheng Yun*, Yanan Zheng. LD-YOLO: A Lightweight Dynamic Forest Fire and Smoke Detection Model with Dysample and Spatial Context Awareness Module, Forests, 2024, 15(9): 1630; https://doi.org/10.3390/f15091630

[4] Bensheng Yun*, Jiannan Lai, Yingfeng Ma and Yanan Zheng. Research on Grain Futures Price Prediction Based on a Bi-DSConvLSTM-Attention Model, Systems, 2024, 12(6): 204; https://doi.org/10.3390/systems12060204

[5] Bensheng Yun*, Yanan Zheng, Zhenyu Lin and Tao Li. FFYOLO: A Lightweight Forest Fire Detection Model Based on YOLOv8, Fire, 2024, 7(3): 93; https://doi.org/10.3390/fire7030093

[6] YUN Bensheng, GAN Xiaoya, QIAN Yaguan.A network traffic classification method based on random forest and improved Convolutional Neural Network, Telecommunications Science, 2023, Vol39(7): 80-89.

[7] Yu-lu Sun, Ben-sheng Yun*, Ya-guan Qian, Jun Feng. A Spark-based method for identifying large-scale network burst traffic, Journal of Computer, 2021, vol.32(4):123-136.

[8] Yun Ben-sheng, Yan Jun-wei, Liu Min. A Method to Optimize Web Service Composition Based on Bayes Trust Model, Computer Integrated Manufacturing Systems, 2010, Vol.16(5): 1104-1111.

Patents

[1] FIRE DETECTION METHOD AND SYSTEM BASED ON DEEP LEARNING, numbered LU506201.

[2] MODEL AND METHOD FOR INDENTIFYING LARGE-SCALE BURSTY NETWORK TRAFFIC, AND TRAINING METHOD FOR MODEL, numbered 2022/12781.