Ling Zheng | Computer Science and Artificial Intelligence | Research Excellence Award

Dr. Ling Zheng | Computer Science and Artificial Intelligence | Research Excellence Award

Fujian Maternity and Children Health Hospital | China 

The researcher holds advanced training in computer science with a strong specialization in artificial intelligence and machine learning, Computer Science and Artificial Intelligence particularly in efficient attention mechanisms and multimodal large models for medical and healthcare applications. Current research focuses on the development of intelligent systems for placental pathology analysis, automated diagnostic report generation, and AI-assisted clinical decision support. Major contributions include the construction of annotated medical image databases, AI-guided lesion standardization frameworks, and the application of dynamic intelligent models to support maternal health interventions. The research portfolio also extends to large-scale data management, privacy protection, and secure data sharing technologies for auditory and visual cognitive models, as well as knowledge graph representation and swarm intelligence collaboration. In addition to academic research, the work includes close collaboration with industry partners to develop domain-specific large models for gynecologic oncology and multimodal AI systems for placental pathology diagnosis. Scholarly contributions span high-impact peer-reviewed journals in artificial intelligence, medical informatics, data science, and interdisciplinary computational research. The researcher has also contributed to the academic community through service on program committees for leading international conferences in artificial intelligence, computer vision, and data analytics. Overall, the research demonstrates strong innovation, translational impact, and commitment to advancing AI-driven healthcare technologies.

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Featured Publications

Computer-aided detection of prostate cancer in T2-weighted MRI within the peripheral zone
A. Rampun, L. Zheng, P. Malcolm, B. Tiddeman, R. Zwiggelaar – Physics in Medicine & Biology, 61(13), 4796, 2016

Self-adjusting harmony search-based feature selection
L. Zheng, R. Diao, Q. Shen – Soft Computing, 19(6), 1567–1579, 2015

Feature grouping and selection: A graph-based approach
L. Zheng, F. Chao, N. Mac Parthaláin, D. Zhang, Q. Shen – Information Sciences, 546, 1256–1272, 2021

Boundary-aware network with two-stage partial decoders for salient object detection in remote sensing images
Q. Zheng, L. Zheng, Y. Bai, H. Liu, J. Deng, Y. Li – IEEE Transactions on Geoscience and Remote Sensing, 61, 1–13, 2023

A distributed joint extraction framework for sedimentological entities and relations with federated learning
T. Wang, L. Zheng, H. Lv, C. Zhou, Y. Shen, Q. Qiu, Y. Li, P. Li, G. Wang – Expert Systems with Applications, 213, 119216

Prof. Xinxiao Li –  Big Data Technologies – Best Researcher Award 

Prof. Xinxiao Li -  Big Data Technologies - Best Researcher Award 

Shonan Institute of Technology - Japan

Author Profile 

SCOPUS 

ORCID 

🎓 Early academic pursuits

Prof. Xinxiao Li’s academic journey began with a strong foundation in biomedical engineering and medical devices at chongqing university, where he earned his b.eng. his passion for technology and innovation led him to pursue an m.eng. in electronic physics at xi'an jiaotong university, further refining his expertise in control systems and computational methodologies. he continued his academic pursuit with a ph.d. in control science and engineering at xi'an jiaotong university, focusing on advanced control theories and digital systems. his rigorous education laid the groundwork for his remarkable contributions to software engineering and digital innovation.

🚀 Professional endeavors

with a distinguished career spanning both academia and industry, prof. li has held pivotal roles at prestigious institutions and global corporations. he began his professional journey as an assistant professor at xi'an jiaotong university, where he quickly advanced to associate professor, contributing to cutting-edge research in control systems. transitioning to japan, he served as a visiting researcher at keio university, where he expanded his expertise in software and information systems. his industrial career flourished at sony emcs corporation, followed by a long tenure at toshiba corporation, where he held key positions such as principal researcher, senior specialist, chief researcher, and expert at the digital innovation center. his work at toshiba played a crucial role in advancing digital transformation, software engineering, and human-in-the-loop systems.

🤖 Contributions and research focus

prof. Li’s research is at the forefront of software engineering, information visualization, and human-computer interaction. he has significantly contributed to the development of user-friendly Big Data Technologies interfaces, augmented reality applications, and intelligent image processing techniques. his work integrates human-in-the-loop systems, ensuring seamless interaction between technology and users. his innovative approach has driven advancements in digital solutions for industrial applications, medical systems, and consumer technology. his interdisciplinary expertise bridges the gap between engineering, artificial intelligence, and user experience, making his research highly impactful across multiple domains.

🏆 Accolades and recognition

throughout his career, prof. li has been recognized for his pioneering work in digital innovation. his research contributions have been published in prestigious journals and presented at Big Data Technologies international conferences, solidifying his reputation as a thought leader in software engineering. his tenure at toshiba corporation saw him lead multiple groundbreaking projects, earning him industry-wide recognition for his expertise in digital transformation and user interface design. his academic contributions at xi'an jiaotong university and keio university have also garnered respect, influencing new generations of researchers and engineers.

👨‍💻 Impact and influence

Prof. Li’s influence extends beyond academia and corporate research labs; his work has had a lasting impact on the technological landscape. his advancements in information visualization and image processing have been integrated into various industrial applications, improving operational efficiency and user experience. his leadership in software development and augmented Big Data Technologies reality has paved the way for innovative applications in both enterprise and consumer markets. through his collaborations with leading institutions and corporations, he has played a key role in shaping the future of digital systems and interactive technologies.

🌍 Legacy and future contributions

As a visionary in software engineering and digital systems, prof. li’s legacy is defined by his commitment to technological advancement and knowledge dissemination. his work has set new standards in user interface design, human-in-the-loop systems, and software engineering methodologies. looking ahead, he continues to explore emerging technologies, driving innovations in artificial intelligence, augmented reality, and interactive digital environments. his mentorship of students and researchers ensures that his impact will continue to shape the future of software engineering, fostering a new era of intelligent and user-centric digital solutions.

Notable Publication 

  • Title: Integrated visualization with controllable deep linking for distributed datasets
    Author(s): Li, X.; Kuroda, A.
    Journal: ACM International Conference Proceeding Series

  • Title: International Conference on Visual Computing (ICVC 99)
    Author(s): Xinxiao Li
    Journal: International Conference on Visual Computing

  • Title: Polyspector™: An interactive visualization platform optimized for visual analysis of big data
    Author(s): Li, X.; Kuroda, A.; Matsuzaki, H.
    Journal: UIST 2016 Adjunct - Proceedings of the 29th Annual Symposium on User Interface Software and Technology

  • Title: Advanced aggregate computation for large data visualization
    Author(s): Li, X.; Kuroda, A.; Matsuzaki, H.; Nakajima, N.
    Journal: IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings

  • Title: Distributed aggregate computation between server and client for interactive visualization
    Author(s): Li, X.; Kuroda, A.; Matsuzaki, H.; Nakajima, N.
    Journal: IEEE Symposium on Large Data Analysis and Visualization 2015, LDAV 2015 - Proceedings