Yukun Li  | Bioinformatics | Best Researcher Award

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Dr. Yukun Li  | Bioinformatics | Best Researcher Award

 Central South University | China

Publication Profile

Scopus

👩‍🎓 Education & Experience

Dr. Yukun Li was born in Hunan, China, and has built a strong academic foundation in both clinical medicine and molecular research. She earned her Bachelor’s degree in Clinical Medicine from Jishou University in 2016, followed by a Ph.D. in Epigenetics from the University of South China, completed in 2022. Professionally, she has been affiliated with Central South University since 2018. She began her career as an Assistant Professor at Xiangya Hospital, Zhuzhou Central South University, and progressed to the role of Researcher in the Department of Assisted Reproductive Centre in 2022. As of January 2025, she serves as the Deputy Director of the Laboratory in the same department, continuing her dual focus on reproductive health and oncology research.

✅ Suitability Summary

With over a decade of academic and clinical experience, Dr. Li is well-positioned as a rising expert in cancer biology and reproductive medicine. Her educational background in epigenetics, combined with hands-on experience in a hospital-based research setting, makes her uniquely suited for translational medical research. Her expertise bridges the gap between clinical observations and molecular mechanisms, particularly in the context of ovarian and lung cancers. Dr. Li has a proven track record of leading research projects, publishing in high-impact journals, and exploring therapeutic resistance and tumor progression, showcasing her suitability for roles in both academic and applied biomedical research environments.

📜 Professional Development

Dr. Li’s professional journey reflects a strong trajectory of growth and leadership. Beyond her academic titles, she has cultivated a research environment focused on innovation and collaboration. She regularly mentors junior researchers, contributes to cross-disciplinary projects, and participates in international scientific communication. Her work consistently focuses on refining molecular understanding to guide better therapeutic strategies. Her leadership was formally recognized with her appointment as Deputy Director of the Laboratory in 2025, a role in which she oversees both clinical and experimental research related to assisted reproduction and oncology.

🔬 Research Focus

Dr. Yukun Li’s primary research interests lie in the pathogenesis of malignant tumors, with a specialized focus on ovarian cancer. Her studies frequently examine the role of endothelial cell-specific molecule 1 (ESM1), which she has identified as a critical regulator of angiogenesis, tumor metabolism, and chemoresistance. Her work explores key signaling pathways such as PI3K/AKT, JAK2/STAT3, Wnt/β-catenin, and PKM2, particularly within the hypoxic tumor microenvironment. Dr. Li also investigates lipid metabolism reprogramming, vascular mimicry, and immune evasion—factors central to understanding tumor progression and therapy resistance. Her translational approach enables the discovery of novel targets for intervention in solid tumors, particularly ovarian and lung adenocarcinoma.

🏆 Honors & Awards

While formal awards are not explicitly listed, Dr. Li’s prolific research output and frequent senior authorship position her as a highly regarded contributor to oncology research. Her work has been published in numerous top-tier, high-impact journals such as Molecular Cancer (IF: 37.29), Journal of Hematology & Oncology (IF: 29.50), and Advanced Science (IF: 14.29). Several of her studies are featured as first or corresponding author, reflecting her leadership and recognition within the research community. Her contributions to understanding cancer metabolism, drug resistance, and tumor angiogenesis mark her as an influential and rising figure in molecular oncology.

📚 Top Notes Publication

Title: ESM1 promote proliferation, invasion and angiogenesis via Akt/mTOR and Ras pathway in kidney renal clear cell carcinoma

  • Authors: J. Luo, T. Yi, Y. Wang, J. Wang, Y. Li

  • Journal: Scientific Reports

  • Year: 2025

Title: Unveiling the protective role of ESM1 in endothelial cell proliferation and lipid reprogramming

  • Authors: Y. Li, A. Gao, W. Zhou, M. Tang, F. Ouyang

  • Journal: Scientific Reports

  • Year: 2025

Title: Lactic acid metabolism: gynecological cancer’s Achilles’ heel

  • Authors: T. Zhang, W. Zhou, T. Fan, J. Zou, Y. Li

  • Journal: (Journal not specified — likely a review article in a scientific journal)

  • Year: 2025

Title: Decoding tumor angiogenesis: pathways, mechanisms, and future directions in anti-cancer strategies

  • Authors: X. Liu, J. Zhang, T. Yi, D. Wu, Y. Li

  • Journal: (Journal not specified — likely a review article in a scientific journal)

  • Year: 2025

Title: IGF2BP3/ESM1/KLF10/BECN1 positive feedback loop: a novel therapeutic target in ovarian cancer via lipid metabolism reprogramming

  • Authors: A. Gao, J. Zou, T. Zeng, J. Zhang, Y. Li

  • Journal: Cell Death and Disease

  • Year: 2025

Title: ESM1 suppresses LncRNA GAS5/miR-23a-3p/PTEN axis to promote the cisplatin-chemotherapy resistance of ovarian cancer cells via activating the PI3K/AKT pathway

  • Authors: H. Li, T. Fan, M. Qin, J. Zou, Y. Li

  • Journal: Discover Oncology

  • Year: 2025

 

Suncheng Xiang | Machine Learning and AI Applications | Best Researcher Award

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Assist Prof Dr. Suncheng Xiang | Machine Learning and AI Applications | Best Researcher Award

Shanghai Jiao Tong University | China

PUBLICATION PROFILE

Google Scholar

🎓 EARLY ACADEMIC PURSUITS

Dr. Suncheng Xiang’s academic journey began with a B.S. in Electrical Engineering and Automation from Changsha University of Science & Technology (2010–2014), where he demonstrated early promise through multiple scholarships and honors. He pursued an M.S. in Software Engineering at the National University of Defense Technology (NUDT) from 2014 to 2017, continuing his academic excellence with multiple recognitions, including first-class scholarships and “Outstanding Student” awards. His scholarly momentum led to a Ph.D. in Computer Science and Technology at Shanghai Jiao Tong University (SJTU) from 2017 to 2022, where he laid the foundation for his work at the intersection of artificial intelligence and medical technology.

💼 PROFESSIONAL ENDEAVORS

Currently serving as an Assistant Professor at the School of Biomedical Engineering, SJTU, since August 2022, Dr. Xiang is also co-affiliated with the Institute of Medical Robotics, reflecting his interdisciplinary engagement. His teaching portfolio includes courses like Artificial Intelligence and Medicine and Medical Imaging Intelligence Technology, and he has served as a lead TA in core computing courses during his academic years. His professional memberships with IEEE and ACM further demonstrate his integration into the global scientific community.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Xiang’s research lies at the convergence of machine learning, computer vision, and biomedical applications, with significant work in domain adaptation, image generation, 3D reconstruction, and multimodal foundation models. He has contributed to both theoretical advancements and real-world solutions, evident in his published preprints on arXiv, which explore topics such as polyp re-identification, medical image segmentation, and gesture recognition. His innovation extends to patents—notably in vessel re-identification using transfer learning and a reusable implantable drive mechanism.

🌍 IMPACT AND INFLUENCE

As an active reviewer for more than 40 peer-reviewed journals—including prestigious outlets like IEEE Transactions on Medical Imaging, Pattern Recognition, and Machine Learning—Dr. Xiang holds a Distinguished Reviewer title. He is also an associate editor for several journals such as Biomedical Engineering Communications and Intelligent Manufacturing. His presence at major conferences like CVPR, ICCV, MICCAI, and EMNLP as a reviewer, session chair, or workshop organizer highlights his growing influence in global academic discourse. Additionally, his invited talks at leading institutions such as Fudan University, Wuhan University, and international platforms demonstrate his thought leadership.

📈 ACADEMIC CITES

Dr. Xiang’s open-source philosophy and dedication to knowledge sharing are reflected in his active GitHub repository, where he shares code and models related to his publications. This contributes to his growing academic citations and impact, as his works are used by fellow researchers and practitioners alike. Although specific citation metrics aren’t listed, his consistent involvement in high-profile research and collaboration across multidisciplinary teams suggests a rising citation trajectory.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

Looking ahead, Dr. Xiang’s leadership in multimodal cognitive learning, AI for healthcare, and robotic surgery is poised to contribute significantly to next-generation biomedical systems. His ongoing national and municipal-level projects, including the National Natural Science Foundation of China Youth Project and Shanghai Municipal Health Commission projects, indicate sustained support and expectations from the research community. With a rich portfolio in teaching, mentorship, and interdisciplinary collaboration, Dr. Xiang is building a legacy that bridges technical innovation with clinical translation.

 📚 TOP NOTES PUBLICATIONS

Vm-unet: Vision mamba unet for medical image segmentation

    • Authors: J. Ruan, J. Li, S. Xiang

    • Journal/Conference: arXiv preprint arXiv:2402.02491

    • Year: 2024

Malunet: A multi-attention and light-weight unet for skin lesion segmentation

    • Authors: J. Ruan, S. Xiang, M. Xie, T. Liu, Y. Fu

    • Journal/Conference: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

    • Year: 2022

Unsupervised domain adaptation through synthesis for person re-identification

    • Authors: S. Xiang, Y. Fu, G. You, T. Liu

    • Journal/Conference: 2020 IEEE International Conference on Multimedia and Expo (ICME)

    • Year: 2020

Less is more: Learning from synthetic data with fine-grained attributes for person re-identification

    • Authors: S. Xiang, D. Qian, M. Guan, B. Yan, T. Liu, Y. Fu, G. You

    • Journal/Conference: ACM Transactions on Multimedia Computing, Communications and Applications

    • Year: 2023

Learning from self-discrepancy via multiple co-teaching for cross-domain person re-identification

    • Authors: S. Xiang, Y. Fu, M. Guan, T. Liu

    • Journal/Conference: Machine Learning

    • Year: 2023

Rethinking illumination for person re-identification: A unified view

    • Authors: S. Xiang, G. You, L. Li, M. Guan, T. Liu, D. Qian, Y. Fu

    • Journal/Conference: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    • Year: 2022