Mr. Yuliang Zhao -Student,Aulin College, Northeast Forestry University, China.
Zhao Yuliang is a passionate and driven young researcher in the field of Computer Science and Technology, currently affiliated with Northeast Forestry University. With a strong foundation in both theoretical and applied research, Zhao excels in areas ranging from remote sensing and artificial intelligence to bioinformatics and data analysis. As the first author of a high-level SCI publication and an active participant in several innovative scientific projects, Zhao demonstrates exceptional analytical skills, programming capabilities, and a deep commitment to solving real-world challenges. His collaborative spirit, leadership in competitions, and proactive involvement in academic communities highlight his rising potential in advanced research domains.
Publication Profile
ORCID
💼 Professional Experience
Zhao Yuliang has accumulated significant research experience despite his young age. He independently developed a high-level SCI publication on lightweight SAR image ship detection and contributed to a bioinformatics paper accepted for its fourth submission. Zhao has been involved in youth research fund applications and led innovation projects like the construction of a plant pan-genome multi-omics database and emotional dialogue recognition using LLMs. His roles in these projects include algorithm design, system architecture, and model evaluation. Zhao’s involvement extends to student organizations, where he has served as a leader and coordinator, demonstrating both technical and organizational strengths.
🏆 Awards and Honors
Zhao Yuliang has received numerous awards recognizing his academic excellence, research contributions, and leadership. These include the National Scholarship, Provincial “Three Good Students” Award, and School “Outstanding Student Cadre” Awards. In competitions, he earned the Second Prize in the National College Student Computer Design Competition, the iGEM Gold Award, and First Prizes in mathematical modeling and transportation technology contests. His consistent success in diverse competitions highlights his multifaceted capabilities and his drive to excel in both theoretical and applied domains of computer science and engineering.
🔬 Research Focus
Zhao Yuliang’s research spans the frontier areas of artificial intelligence, with a particular focus on target detection, SAR image processing, and bioinformatics. His first-author SCI paper proposes novel improvements in small target detection, including the P-MIoU loss function, GCCR-GhostNet backbone, and LSD-Head for efficient computation. In bioinformatics, he contributed to the development of SpaLORA, enhancing spatial multi-omics data analysis using graph neural networks and dual attention mechanisms. He has also worked on road extraction algorithms, pan-genome data integration, and sentiment analysis through large language models. His research reflects a keen interest in solving real-world problems through AI innovations.
📝 Conclusion
Zhao Yuliang stands out as a highly motivated and competent young researcher with exceptional potential in the fields of computer science and artificial intelligence. His academic performance, technical expertise, and collaborative spirit set a strong foundation for future scientific breakthroughs. Through independent and team-based projects, he has already made significant contributions to SAR target detection and spatial multi-omics. Zhao’s proactive learning attitude, resilience, and dedication to impactful research position him as a promising candidate for advanced research roles and international recognition in the scientific community.
📚 Top Publication Notes
1. LWSARDet: A Lightweight SAR Small Ship Target Detection Network Based on a Position–Morphology Matching Mechanism
🔹 Journal: Remote Sensing
🔹 Published Year: 2025
🔹 Cited by: 2 articles