Engineer, at The Third Research Institute of the Ministry of Public Security, China.
Mr. Yu Zhang is a dynamic and promising young researcher specializing in computer technology, artificial intelligence, and the security of large language models (LLMs). With a strong academic background and a deep passion for innovation, he has demonstrated exceptional capabilities in both theoretical research and practical application. His work spans a variety of domains including machine learning, natural language processing, and intelligent systems, making him a valuable contributor to the next generation of computing research.
Professional Profile
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🎓 Education
Mr. Zhang completed his Bachelor’s degree in Software Engineering from the School of Information Science and Engineering, Linyi University (2018–2022), graduating in the top 10% of his class with a GPA of 3.52/4. His coursework included data structures, operating systems, computer networks, and object-oriented programming.He is currently pursuing a Master’s degree in Computer Technology at the School of Intelligent Industry (School of Cybersecurity), Inner Mongolia University of Science and Technology (2022–2025), maintaining a GPA of 3.62/4. His graduate research includes machine learning, numerical analysis, natural language processing, and the ethical implications of AI.
💼 Experience
Mr. Zhang has participated in a variety of innovative projects and industry internships. He worked as a development engineer intern at Ambow Education Technology Group, where he focused on enterprise-grade applications using the Spring Boot framework, API design, database integration, and software testing. He also led and contributed to national-level innovation projects such as a WeChat Mini-Program competition platform and an Arduino-based smart aquaculture monitoring system. His recent work includes intelligent heating IoT systems and knowledge mining from police text data using BERT models.
🔬 Research Interests
Mr. Zhang’s primary research interests lie in the development and security evaluation of large language models (LLMs). His projects involve toxic speech detection, prompt attack strategies, and benchmarking LLM safety. He has hands-on experience with advanced AI models such as GPT-4o, Claude-3-Opus, LLaMA-3, and others. His work explores cutting-edge areas like RAG (Retrieval-Augmented Generation), prompt tuning, and microfine training techniques, all aimed at enhancing the safety, ethics, and performance of generative AI.
🏆 Awards
Mr. Zhang has received over 15 prestigious awards, including 6 national-level honors such as:
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Third Prize, Central Committee Financial Challenge Final
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Siemens Cup National Third Prize (Smart Manufacturing)
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Second Prize, National College Computer Skills Competition
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International Third Prize, American College Modeling Contest
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Multiple provincial-level recognitions including First Prize in the National University Computer Competition and honors in math modeling events.
He has also been awarded multiple academic scholarships for both undergraduate and graduate performance.
📚Top Noted Publications
Title: Security Assessment and Generation Improvement Strategies for Large Language Models
Authors: Yu Zhang, Yongbing Gao, Lidong Yang
Citations: [Not yet cited – early publication]
Index: Crossref
Year of Publication: 2025
Title: Chinese Generation and Security Index Evaluation Based on Large Language Model
Authors: Yu Zhang, Yongbing Gao, Wei Li, Zhi Su, Lidong Yang
Citations: Scopus EID: 2-s2.0-85204765727
Index: Scopus, IEEE Xplore
Year of Publication: 2024
Conclusion
In conclusion, Mr. Yu Zhang stands out as a highly competent and forward-thinking researcher with a robust academic foundation, a track record of innovation, and a clear research trajectory in artificial intelligence and cybersecurity. His interdisciplinary skill set, practical project experience, and passion for responsible AI make him an outstanding candidate for the Best Researcher Award. With continued dedication, he is well-positioned to make impactful contributions to the global scientific community