Zhang Rui is a dedicated researcher currently pursuing a doctoral degree in Computer Software and Theory at the University of Chinese Academy of Sciences. With a solid foundation in Information Management and Systems from Xi’an University of Architecture and Technology, Zhang specializes in Python programming and advanced machine learning frameworks like Pytorch. His research focuses on natural language processing, automatic text intelligence, and innovative applications such as code comment generation and program repair. Zhang has contributed significantly to scientific data management and analysis, with published papers and extensive project leadership experience in constructing digital platforms for data integration and knowledge sharing.
Profiles
Scopus
Educational Background
2018.9-Present: Pursuing doctoral studies in Computer Software and Theory at the University of Chinese Academy of Sciences. 2014.9-2018.7: Completed undergraduate studies in Information Management and Information Systems at Xi’an University of Architecture and Technology.
Professional Skills
Proficient in Python, with expertise in machine learning and deep learning frameworks including Pytorch. Specializes in natural language processing, automatic text intelligence, code comment generation, and automatic program repair.
Academic Contributions
Published Papers: Internationally recognized contributions in text summarization, code generation, and data management across various domains of resource science and technology.Intern Experience: Hands-on involvement in image processing interfaces, data management, and analysis for scientific applications.
Awards and Recognitions
Awarded multiple prizes for academic excellence and innovation, including top honors in mathematical modeling competitions and scholarships for outstanding performance.
Self-Evaluation
Demonstrates keen insight, a relentless pursuit of knowledge, innovative spirit, effective communication, and strong teamwork skills.
Publications
Design of an Isolated Circuit Breaker with Robust Interruption Capability for DC Microgrid Protection
Authors: Xu, X., Chen, W., Zhang, S., Li, Z., Zhang, B.
Journal: IEEE Transactions on Industrial Electronics, 2021, 68(12), pp. 12408–12417
Exploring a particle-size-reduction strategy of YAG phosphor via a chemical breakdown method
Authors: Chen, H., Ju, L., Zhang, L., Qiu, K., Yin, L.
Journal: Journal of Rare Earths, 2021, 39(8), pp. 938–945
Short-Circuit Capability Prediction and Failure Mode of Asymmetric and Double Trench SiC MOSFETs
Authors: Deng, X., Li, X., Li, X., Li, Z., Zhang, B.
Journal: IEEE Transactions on Power Electronics, 2021, 36(7), pp. 8300–8307
Enhancement of defect detectability in pneumatic pressure equipment using an automatic detection technique in ECPT
Authors: Zhang, B., Cheng, Y., Yin, C., Chen, K., Malek, H.
Journal: Journal of Testing and Evaluation, 2021, 49(1), JTE20180724
Improved Model on Buried-Oxide Damage Induced by Total-Ionizing-Dose Effect for HV SOI LDMOS
Authors: Yuan, Z., Qiao, M., Li, X., Li, Z., Zhang, B.
Journal: IEEE Transactions on Electron Devices, 2021, 68(4), pp. 2064–2070
An analytical model on the gate control capability in p-GaN Gate AlGaN/GaN high-electron-mobility transistors considering buffer acceptor traps
Authors: Wang, F., Chen, W., Sun, R., Zhou, Q., Zhang, B.
Journal: Journal of Physics D: Applied Physics, 2021, 54(9), 095107
A low turn-on voltage AlGaN/GaN lateral field-effect rectifier compatible with p-GaN gate HEMT technology
Authors: Wang, F., Chen, W., Wang, Z., Zhou, Q., Zhang, B.
Journal: Semiconductor Science and Technology, 2021, 36(3), 034004
Hybrid silica-carbon bilayers anchoring on FeSiAl surface with bifunctions of enhanced anti-corrosion and microwave absorption
Authors: Tian, W., Zhang, X., Guo, Y., Jian, X., Deng, L.
Journal: Carbon, 2021, 173, pp. 185–193
Voltage Coupling Enhancement for Transient Gate Overvoltage Suppression of Insulated Gate Trigger Thyristor in Ultrahigh di/dt Pulse Applications
Authors: Liu, C., Chen, W., Sun, R., Li, Z., Zhang, B.
Journal: IEEE Transactions on Power Electronics, 2021, 36(3), pp. 3346–3353
Surface passivation of applying an organic-inorganic hybrid coatings toward significantly chemically stable iron powder
Authors: Zhang, L., Zheng, Q., Yin, L., Xie, J., Deng, L.
Journal: Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2021, 610, 125910