研究成果
1. Luo, J.*, Fujimura, S., El Baz, D., & Plazolles, B. (2019). GPU based parallel genetic algorithm for solving an energy efficient dynamic flexible flow shop scheduling problem. Journal of Parallel and Distributed Computing, 133, 244-257. (SCI, JCR Q1, IF: 3.734)
2. Luo, J.*, & El Baz, D. (2019). A Dual Heterogeneous Island Genetic Algorithm for Solving Large Size Flexible Flow Shop Scheduling Problems on Hybrid Multicore CPU and GPU Platforms. Mathematical Problems in Engineering, 2019. (SCI, JCR Q3, IF: 1.305)
3. Luo, J., El Baz, D., Xue, R.*, & Hu, J. (2020). Solving the dynamic energy aware job shop scheduling problem with the heterogeneous parallel genetic algorithm. Future Generation Computer Systems, 108, 119-134. (SCI, JCR Q1, IF: 7.187)
4. Luo, J., Xue, R.*, & Hu, J. (2020). COVID-19 infodemic on Chinese social media: A 4P framework, selective review and research directions. Measurement and Control, 53(9-10), 2070-2079. (SCI, JCR Q3, IF: 1.704)
5. Luo, J., Xue, R.*, Hu, J., & El Baz, D. (2021). Combating the Infodemic: A Chinese Infodemic Dataset for Misinformation Identification. Healthcare (Basel, Switzerland), 9(9). (SCI, JCR Q2, IF: 2.645)
6. Shi, L., Luo, J.*, Cheng, G., Liu, X., & Xie, G. (2021). A Multifeature Complementary Attention Mechanism for Image Topic Representation in Social Networks. Scientific Programming, 2021. (SCI, JCR Q4, IF: 1.025)
7. Han, X., Ye J., Luo, J.*, & Zhou H. (2020). The Effect of Axis-Wise Triaxial Acceleration Data Fusion in CNN-Based Human Activity Recognition. IEICE TRANSACTIONS on Information and Systems, 103(4), 813-824. (SCI, JCR Q4, IF: 0.559)
