Yuan Cheng | Medical Imaging | Best Researcher Award

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Prof. Dr. Yuan Cheng | Medical Imaging | Best Researcher Award

Yuan Cheng is a Professor at the AI Innovation and Incubation Institute, Fudan University, specializing in artificial intelligence for science, computer vision, video analysis, and medical image processing. He earned his Ph.D. in Computer Science from the National University of Singapore and a B.S. from Fudan University. With over a decade of experience, he has held roles as a Research Fellow, Scientist, and Tech Lead, contributing to disease detection systems, video-based AI solutions, and craniomaxillofacial surgery planning. Yuan holds 36 granted patents, has won multiple AI and fintech awards, and continues to advance interdisciplinary applications of AI in medicine and technology.

Prof. Dr. Yuan Cheng | Fudan University | China

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SCOPUS ID

🎓 Education

  • Yuan Cheng holds a Ph.D. in Computer Science from the National University of Singapore (NUS), earned between August 2008 and April 2014. His doctoral dissertation, titled Computer-Aided Craniomaxillofacial Surgery Planning for Fractured Skulls, was supervised by Professor Leow Wee Kheng. Prior to this, he completed a Bachelor of Science in Computer Science and Technology at Fudan University, Shanghai, China, from September 2004 to July 2008. His undergraduate dissertation focused on Low Resolution Gait Recognition with High Frequency Super Resolution, under the guidance of Professor Zhang Junping.

💼 Experience

  • Yuan Cheng is currently a Professor at the AI Innovation and Incubation Institute (AI3) at Fudan University, China, where he has been serving since September 2022. His research emphasizes leveraging artificial intelligence for science, including applications in biology, pharmacy, and medicine. From October 2016 to August 2022, he worked as a Staff Algorithm Engineer, Tech Lead, and Manager at the AI Department of Ant Group, China. In this role, he led a vision cognition team that developed advanced technologies for video analysis, edge computing, and affective computing, which were implemented in products such as automatic car damage assessment and pet recognition systems. Before this, he was a Research Fellow and Team Leader at the iLab of the National University of Singapore from August 2012 to October 2016, focusing on algorithms for detecting and managing diseases like glaucoma, diabetes, and hypertension. Yuan Cheng also contributed as a Research Scientist at the National University Hospital, Singapore, from August 2013 to May 2015, where he developed systems for skull restoration and stroke severity assessment. Earlier in his career, he served as a Research Assistant at the Shanghai Key Laboratory of Intelligent Information Processing from September 2005 to July 2008, working on super-resolution methods for gait recognition.

 🏆 Honors and Awards

  • Yuan Cheng has been recognized with numerous awards throughout his career. He was honored as a Hangzhou High-level Talent (D class) in 2021 and secured first-place finishes in several prestigious competitions, including the Valence-Arousal Estimation Challenge at CVPR 2022 and multimodal challenges at ACM MM 2021. His team achievements include the Green Eyes Award by the United Nations in 2019 and multiple innovation and application awards in artificial intelligence and fintech from 2017 to 2019. He was a recipient of the Singapore Technology Award (team) in 2014 and was awarded the NUS Graduate Research Scholarship during his doctoral studies. Additionally, he earned numerous scholarships and accolades during his undergraduate years, including the Chinese Excellent Student award by IBM in 2008 and the Wangdao Scholarship at Fudan University.

🛠️ Skills and Certifications

  • Yuan Cheng is skilled in advanced computer vision techniques, machine learning algorithms, video and medical image analysis, edge computing, and affective computing. His technical expertise is complemented by his experience in developing real-world applications for various industries, including healthcare and financial technology. Additionally, he holds 36 granted patents and has applied for 68 more, showcasing his innovation in cutting-edge technologies.

🔬 Research Focus

  • Yuan Cheng’s research interests span artificial intelligence for science, computer vision, video analysis, medical image analysis, and machine learning. He has made significant contributions to areas such as craniomaxillofacial surgery planning, disease detection systems, and video-based financial technologies. His current work emphasizes integrating AI innovations into biology, pharmacy, and medicine, bridging interdisciplinary gaps to foster impactful solutions.

Conclusion

  • Yuan Cheng is a strong candidate for the Best Researcher Award due to his exceptional accomplishments in AI research, applied innovation, and impactful solutions. He exemplifies the qualities of a top researcher: innovative thinking, societal impact, and global recognition. Enhancing his academic outputs and broader collaborations could further solidify his eligibility and chances for this award.

📄Publications

  • Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models
    Authors: Tan, X., Cheng, L., Qiu, X., Xu, Y., Qi, Y.
    Journal: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2024
  • Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity
    Authors: Tan, X., Cheng, L., Qiu, X., Xu, Y., Qi, Y.
    Journal: SIGIR 2024 – Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
  • SNP-S3: Shared Network Pre-Training and Significant Semantic Strengthening for Various Video-Text Tasks
    Authors: Dong, X., Guo, Q., Gan, T., Cheng, Y., Chu, W.
    Journal: IEEE Transactions on Circuits and Systems for Video Technology, 2024
  • Unraveling the Motion and Deformation Characteristics of Red Blood Cells in a Deterministic Lateral Displacement Device
    Authors: Liu, S., Chen, S., Xiao, L., Hu, Z., Lin, C.
    Journal: Computers in Biology and Medicine, 2024
  • FuXi: A Cascade Machine Learning Forecasting System for 15-Day Global Weather Forecast
    Authors: Chen, L., Zhong, X., Zhang, F., Qi, Y., Li, H.
    Journal: npj Climate and Atmospheric Science, 2023

Wei Zheng | Nuclear Medicine | Best Researcher Award

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 Dr. Wei Zheng | Nuclear Medicine | Best Researcher Award

Research Contributions:

  • His work has enhanced the theoretical understanding of micromixers and provided practical, optimized solutions balancing efficiency and performance. This contributes to both academic knowledge and industry applications.
Dr. Wei Zheng , Tianjin Medical University General Hospital , China

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🌱EARLY ACADEMIC PURSUITS

  • Dr. Wei Zheng embarked on his academic journey with a deep passion for medical sciences. He laid a strong foundation by specializing in nuclear medicine, focusing on the study and treatment of thyroid-related disorders. His early education was marked by a commitment to mastering both the theoretical and practical facets of his field, which later became the cornerstone of his distinguished career.

💼PROFESSIONAL ENDEAVORS

  • Currently, Dr. Wei Zheng serves as the Chief Physician and Deputy Director of the Department of Nuclear Medicine at Tianjin Medical University General Hospital. In addition to his clinical responsibilities, He mentors postgraduate students as a Master’s Supervisor. Dr. Zheng is actively involved in several prestigious organizations, including the Chinese Association of Medical Imaging Technology, the Chinese Association of Nuclear Medicine Physicians, and the Therapeutics Group of the Chinese Society of Nuclear Medicine, where he contributes to the advancement of nuclear medicine practices.

🔬CONTRIBUTIONS AND RESEARCH FOCUS 

  • Dr. Zheng has made groundbreaking contributions in the diagnosis and treatment of thyroid-related disorders. His innovative work includes developing advanced therapies such as combining 131I with targeted drugs for iodine-refractory thyroid cancer and pioneering therapeutic strategies for Graves’ disease and ophthalmopathy. He has also spearheaded multicenter studies analyzing the effectiveness of 131I therapy in patients with lymph node and distant metastases, as well as in pediatric thyroid cancer cases. His research focuses on molecular imaging analysis using PET/MR and the pathogenesis of autoimmune thyroid disorders, aiming to advance both diagnosis and treatment.

🌍IMPACT AND INFLUENCE

  • Dr. Zheng’s research has profoundly influenced the field of nuclear medicine, particularly in the management and treatment of thyroid cancer and autoimmune thyroid diseases. His work has shaped clinical guidelines in China and expanded the global impact of radionuclide therapies. By integrating research findings into clinical practice, he has significantly improved patient outcomes and set a new standard for thyroid-related therapies.

📜 ACADEMIC CITES AND LEGACY

  • With an h-index of 15 and 548 citations to his name, Dr. Zheng’s scholarly work is widely recognized and respected. His research papers, published in leading journals, have been frequently cited, reflecting his substantial contributions to the academic and medical communities. Over the past three years, he has authored 14 influential articles as a first or corresponding author, demonstrating his continued commitment to advancing scientific knowledge.

🧬 LEGACY AND FUTURE CONTRIBUTIONS

  • Dr. Zheng’s innovative approaches and groundbreaking research have left a lasting impact on nuclear medicine. His efforts have advanced the understanding and treatment of thyroid disorders and autoimmune diseases, paving the way for new therapeutic strategies. As he continues his work, he is dedicated to mentoring young researchers and contributing to global advancements in medical science, ensuring his legacy as a pioneer in his field.

🏅 PROFESSIONAL MEMBERSHIPS 

  • Dr. Zheng is an active member and leader in numerous professional organizations. He serves as Director of the Chinese Association of Medical Imaging Technology, Vice Chairman of the Nuclear Medicine Branch of the Tianjin Association of Medical Imaging Technology, and a Standing Committee Member of the Chinese Association of Nuclear Medicine Physicians. Additionally, he holds editorial positions in esteemed journals, including the Chinese Journal of Nuclear Medicine and Molecular Imaging.

🌟 AWARDS AND RECOGNITION

  • Dr. Zheng’s exceptional achievements have earned his a nomination for the Best Researcher Award under the China Scientist Awards. His ability to blend clinical expertise with innovative research underscores his standing as a leading figure in nuclear medicine, inspiring peers and setting new benchmarks in the field.

📄Publications

  • Optimization and application of renal depth measurement method in the cadmium-zinc-telluride‑based SPECT/CT renal dynamic imaging
    • Authors: Zheng, H., Li, X., Wang, S., Jia, Q., Zheng, W.
    • Journal: EJNMMI Physics, 2024, 11(1), 96
  • Selective anti-tumor activity of glutathione-responsive abasic site trapping agent in anaplastic thyroid carcinoma
    • Authors: Chai, J., Su, M., Zhang, R., Sun, H., Meng, Z.
    • Journal: BMC Cancer, 2024, 24(1), 816
  • Correction to: Stimulating thyroglobulin to TSH ratio predict long-term efficacy of 131I therapy in patients with differentiated thyroid cancer after total thyroidectomy: a retrospective study
    • Authors: Yin, X., Lu, C., Sun, D., Tan, J., Zheng, W.
    • Journal: Endocrine, 2024, 86(2), pp. 863
  • Mouse model of Graves’ orbitopathy induced by the immunization with TSHR A and IGF-1R α subunit gene
    • Authors: Wu, R., Li, N., Wang, X., Wang, R., Zheng, W.
    • Journal: Journal of Endocrinological Investigation, 2024, 47(10), pp. 2507–2519
  • Comparison of 131I therapeutic responses and clinical outcomes in patients with familial and sporadic differentiated thyroid cancer
    • Authors: Ji, Y., Wang, X., Li, X., Tan, J., Zheng, W.
    • Journal: Chinese Journal of Radiological Medicine and Protection, 2024, 44(6), pp. 531–536