My name is Shang Zhihao (尚志浩). I got my PhD under supervision of Prof. Dr. Katinka Wolter from Free University of Berlin in Dec. 2019. I am working at Zhengzhou University of Light Industry now. My research interests include time series forecastng, deep learning.
Experience:
- Zhengzhou University of Light Industry, lecturer in School of Computer Science and Technology, 2023.07 to now
- Zhengzhou Universtiy, post doctor in School of Computer and Artificial Intelligence, 2020.06 to 2023.06
- Freie Universtät Berlin, Ph.D. in Computer Science, 2015.10 to 2019.12
- Lanzhou University, Master in Computer Software and Theory, 2011.09 to 2014.07
- Henan University of Chinese Medicine, Bachelor in Computer Science and Technology, 2006.09 to 2010.07
Projects:
- 2021.09 to 2023.06, Time Series Analysis-Based Fault Prediction Technology for Carrier-Based Aircraft Engines from China Postdoctoral Science Foundation
- 2023.09 to now, Man-machine Coordination for Failure Prediction of Carrier-based Aircraft Based on Time Series Forecasting from Natural Science Foundation of Henan Province
Teaching:
- English for Computer Science
- Operating Systems
Publications:
Here are some selected papers. This page may be not well maintained. The full list can be found here .
- Decomposition-based wind speed forecasting model using causal convolutional network and attention mechanism in Expert Systems with Applications
- Short-term wind speed forecasting system based on multivariate time series and multi-objective optimization in Energy
- A Novel Combined Model for Short-Term Electric Load Forecasting Based on Whale Optimization Algorithm in Neural Processing Letters
- An openflow controller performance evaluation tool in European Workshop on Performance Engineering
- Hyperstar2: Easy distribution fitting of correlated data in Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering
- Dynamic server cluster load balancing in virtualization environment with openflow in International Journal of Distributed Sensor Networks
- Multi-objective particle swarm optimization algorithm for multi-step electric load forecasting in Energies
- A novel wind speed forecasting model based on moving window and multi-objective particle swarm optimization algorithm in Applied Mathematical Modelling
- A novel hybrid network traffic prediction approach based on support vector machines in Journal of Computer Networks and Communications
Contact Information:
zhihao.shang(at)zzuli.edu.cn
School of Computer Science and Technology,
Zhengzhou University of Light Industry,
Science Avenue 136, Zhengzhou,
Henan Province, China