Yanli Shi | Deep Learning for Computer Vision | Best Innovation Award

Dr. Yanli Shi | Deep Learning for Computer Vision | Best Innovation Award

Jilin University of Chemical Technology | China

Dr. Yanli Shi is a researcher at the Jilin Institute of Chemical Technology, Jilin, China, with recognized contributions in image processing, computer vision, and intelligent information technologies. As a first author, Dr. Shi has published nearly 20 high-quality SCI and EI-indexed journal articles, including three papers in JCR Zone 1 journals, reflecting strong research impact and international visibility. According to Scopus, Dr. Shi’s work has received 160 citations, with an h-index of 7, demonstrating consistent scholarly influence.Dr. Shi has led and successfully completed several competitive research projects, including one project funded by the Jilin Provincial Natural Science Foundation, one project under the “13th Five-Year Plan” Science and Technology Program of the Jilin Provincial Department of Education, and one vertical project supported by the Jilin Municipal Science and Technology Bureau, which also included the Outstanding Young Talent Cultivation Program. These projects have advanced both fundamental research and applied technological development.With a strong emphasis on technology transfer and practical innovation, Dr. Shi holds one national invention patent and has actively translated research outcomes into industrial solutions. Through extensive collaboration, Dr. Shi has participated in over 100 horizontal projects with Inner Mongolia University and local enterprises, generating more than 1.6 million yuan in research funding. These collaborations have addressed real-world technical challenges and promoted regional industrial and technological development.Dr. Shi’s recent publications in leading journals such as Pattern Recognition and Scientific Reports further highlight expertise in fine-grained visual classification, deep learning, and image super-resolution. Overall, Dr. Shi’s work demonstrates a balanced integration of academic excellence, cross-sector collaboration, and measurable societal and economic impact.

Profile: Scopus 

Featured Publications

1.Shi, Y., et al. (2025). Multi-scale adversarial diffusion network for image super-resolution. Scientific Reports.  Cited By: 1

2.Shi, Y., et al. (2025). LDH-ViT: Fine-grained visual classification through local concealment and feature selection. Pattern Recognition. Cited By : 1

Dr. Yanli Shi research advances state-of-the-art computer vision and image intelligence technologies, bridging fundamental algorithms with real-world industrial applications. Through high-impact publications, patented innovations, and extensive university–industry collaborations, the work delivers scalable solutions to practical technical challenges. This integration of scientific excellence and technology transfer contributes meaningfully to societal development and global innovation.

Wen-Zhou-Deep Learning for Computer Vision-Excellence in Research

Wen-Zhou-Deep Learning for Computer Vision-Excellence in Research

Nanjing University-China

Author Profile

Early Academic Pursuits

Zhou Wen embarked on his academic journey at Nanjing University of Finance and Economics (NUFE), pursuing a Bachelor of Engineering (B.E.) in Software Engineering from September 2020 to July 2024. His dedication and academic excellence are reflected in his impressive grade of 77.2982/100. Zhou's commitment to scholarly pursuits was further acknowledged through various grants and scholarships, including the prestigious National Scholarship and the Jiangsu Provincial National Innovation Project Grant.

Professional Endeavors

Entrepreneurial Ventures

Zhou demonstrated his entrepreneurial spirit by founding a groundbreaking project, "Research on Elementary Geometry Learning Application based on Machine Proving and Metaverse." As the founder and social practitioner, he integrated advanced mathematics with intelligent applications, creating a virtual machine program to facilitate engaging geometry learning for high school students. The project not only addressed an educational gap but also earned Zhou recognition, including a Silver award in the "Internet+ Innovation and Entrepreneurship" competition.

Corporate Internships

Zhou's professional experience includes internships at Nanjing Shunfa Software Technology Co., Ltd, where he contributed to the development of a medical-integrated intelligent software product. His impactful work resulted in an initial market value evaluation of 20 million RMB. Additionally, his role as a Huawei HSD Campus Developer Ambassador showcased his ability to propagate and organize study sessions around Huawei's technologies.

Research Leadership at Tianjin Zhisheng Technology Co., Ltd

In his role as the Director of Research and Development at Tianjin Zhisheng Technology Co., Ltd, Zhou oversaw product R&D and innovation. His leadership contributed to the successful securing of 6 million RMB in funding for the "Jin Yinhua Harvesting Robot" project. Zhou's commitment to excellence extended to academic contributions, including authored papers in SCI and EI indexed journals.

Contributions and Research Focus

Pioneering Research in Computer Vision

Zhou's research experience in computer vision is notable, particularly in the project "Quick Detection and Implementation of Small Targets in Computer Vision." Serving as the technical leader and core member, he proposed improvements and integrated them into a common framework, resulting in two academic papers and a software copyright.

Innovation in Face Recognition Technology

As a project leader and technical advisor in "Research on Adversarial Machine Learning in Face Recognition Technology," Zhou addressed challenges in face recognition systems from adversarial attacks. The project yielded an EI-indexed paper on obstacle detection based on the Grey Wolf Detection Algorithm.

Advanced Research in Medical Imaging

Zhou's contributions to medical imaging include projects such as "Fine-grained Image Classification and Feature Recognition in Human Eye Disease Automatic Analysis and Diagnosis." Leveraging computer vision technology, he obtained two software copyrights and anticipates a publication in an SCI journal.

Accolades and Recognition

Zhou's outstanding achievements have earned him numerous accolades at both national and international levels. Noteworthy awards include a Silver Award in the KAGGLE RSNA 2023 Abdominal Trauma Detection competition, a Gold Award in the Algorithm Design and Programming Challenge Winter Competition, and multiple prizes in national and international innovation and entrepreneurship competitions.

Impact and Influence

Zhou's impact extends beyond academic and professional realms. His interviews with Huawei & China News Weekly, features by major media outlets, and leadership in innovative projects demonstrate his influence in the tech community. His role as a Huawei HDC Campus Ambassador and CCF Special Campus Ambassador further solidifies his standing in the industry.

Legacy and Future Contributions

Zhou's legacy is characterized by prolific research, entrepreneurial ventures, and a trail of accolades. His future contributions are eagerly anticipated, with ongoing research projects, patent applications, and a demonstrated passion for computer science and technology. As he continues to evolve as a Geek with a fervor for innovation, Zhou Wen is poised to leave an indelible mark on the fields of software engineering and artificial intelligence.

Notable Publication