PhD Student, Beijing institute of Technology, Chinađź“–
Licheng Sun is a Ph.D. candidate at the Beijing Institute of Technology, specializing in dynamic decision-making and decentralized collaboration within multi-agent systems. With a strong foundation in reinforcement learning and game theory, he has published widely in esteemed journals and demonstrated excellence in practical applications, including success in global competitions such as the Mozi Wargame. His contributions aim to revolutionize intelligent decision-making in complex environments, driving innovation in autonomous systems and collaborative frameworks.
Scopus Profile
Education Background🎓
Licheng Sun is currently a Ph.D. student at the prestigious Beijing Institute of Technology, specializing in dynamic decision-making and decentralized collaboration in multi-agent systems. His academic foundation is rooted in a strong inclination toward cutting-edge technologies such as reinforcement learning and game theory, which underpins his research endeavors.
Professional Experience🌱
Licheng has established himself as a trailblazer in the domain of intelligent systems. With a proven track record of publishing impactful research in high-impact journals, he has significantly contributed to the fields of distributed systems and real-time optimization. His technical expertise has been validated through competitive success, such as leading his team to victories in renowned challenges, including the Mozi Wargame. In addition, Licheng has contributed to the development and benchmarking of advanced algorithms in environments like SMAC (StarCraft Multi-Agent Challenge).
Research Interests🔬
Licheng Sun’s research interests encompass dynamic decision-making frameworks, decentralized collaboration in multi-agent systems, reinforcement learning, distributed systems, real-time optimization, and game theory. His focus is on advancing scalable and efficient algorithms to address complex, dynamic challenges in diverse applications, including autonomous systems and intelligent resource allocation
Author MetricsÂ
Licheng Sun has made significant contributions to his field, reflected in his impressive author metrics. His research papers are widely cited in high-impact journals, showcasing the relevance and influence of his work in dynamic decision-making and multi-agent systems. His publications address complex challenges in reinforcement learning, decentralized collaboration, and game theory, often introducing cutting-edge methodologies and innovative solutions. With a growing citation count and recognition among peers, his ResearchGate profile demonstrates his research impact, while his affiliation with Elsevier highlights his engagement with reputable academic platforms. These metrics underscore his role as a thought leader advancing intelligent decision-making frameworks.
Publications Top Notes đź“„
1. HWD-YOLO: A New Vision-Based Helmet Wearing Detection Method
- Authors: Sun, L., Li, H., Wang, L.
- Journal: Computers, Materials and Continua
- Year: 2024
- Volume: 80(3), Pages: 4543–4560
- Citations: 0 (Article in Press)
2. CT-MVSNet: Curvature-guided Multi-view Stereo with Transformers
- Authors: Wang, L., Sun, L., Duan, F.
- Journal: Multimedia Tools and Applications
- Year: 2024
- Citations: 0 (Article in Press)
3. An Improved YOLO V5-Based Algorithm of Safety Helmet Wearing Detection
- Authors: Sun, L., Wang, L.
- Conference: Proceedings of the 34th Chinese Control and Decision Conference (CCDC 2022)
- Year: 2022
- Pages: 2030–2035
- Citations: 10
4. Adaptive MPC of a Class of Switched Linear Systems with Unknown System Matrices
- Authors: Chen, H., Sun, L., Ma, H.
- Conference: Chinese Control Conference (CCC)
- Year: 2024
- Pages: 942–949
- Citations: 0
5. OMA-QMIX: Exploring Optimal Multi-Agent Reinforcement Learning Framework in Multi-Action Spaces
- Authors: Sun, L., Chen, H., Guo, Z., Ding, A., Ma, H.
- Conference: Chinese Control Conference (CCC)
- Year: 2024
- Pages: 8194–8199
- Citations: 0
6. Multi-time Scale Hierarchical Trust Domain Leads to the Improvement of MAPPO Algorithm
- Authors: Guo, Z., Sun, L., Zhao, G., Ding, A., Ma, H.
- Conference: Chinese Control Conference (CCC)
- Year: 2024
- Pages: 6109–6114
- Citations: 0
Conclusion
Licheng Sun stands out as a promising and innovative researcher with a robust academic foundation and impressive technical expertise. His work in multi-agent systems, reinforcement learning, and real-time optimization is highly relevant to the future of intelligent systems. With continued growth in citation impact and broader real-world applications, Licheng has the potential to become a leading figure in the field of autonomous systems and collaborative decision-making. His current achievements, coupled with his forward-thinking approach, make him a strong candidate for the Best Researcher Award.