Yanyu Wang | Innovation Management | Best Paper Award

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Prof. Yanyu Wang | Innovation Management | Best Paper Award

Professor and The chair of the department at Beijing University of Posts and Telecommunications, China

Yanyu Wang currently serves as an Associate Professor and Supervisor of Master’s Candidates at the School of Economics and Management, Beijing University of Posts and Telecommunications. With a deep academic grounding in innovation strategy and enterprise digital transformation, Dr. Wang has established a reputation for advancing organizational studies within the realm of technology and management. Her research output, coupled with an active teaching portfolio, has positioned her as a leading voice in understanding how firms navigate complex innovation environments. Through her extensive academic career, she has remained committed to blending rigorous theoretical insights with practical applications that aid enterprises in addressing modern economic and technological challenges.

Profile

Scopus

Education

Yanyu Wang’s academic journey reflects a consistent pursuit of excellence and expertise across management disciplines. She earned her Ph.D. in Business Administration, focusing on Innovation, Entrepreneurship, and Strategy, from Tsinghua University, China, where she developed a strong research foundation in enterprise strategy and innovation systems. Prior to her doctoral studies, she completed an M.A. in Management Science and Engineering with a concentration in Quality Management at the Nanjing University of Aeronautics and Astronautics, China. Her academic journey commenced with a B.A. in Marketing from the same institution, where she was recognized as the top student in her cohort, having been admitted without examination. This diverse educational background provided her with a solid interdisciplinary understanding of technology management and business innovation.

Experience

Dr. Wang’s professional experience is rich and multifaceted, combining academic research, teaching, and international exposure. She has been serving as an Associate Professor since December 2019 and previously worked as a Lecturer from July 2016 to December 2019 at the School of Economics and Management, Beijing University of Posts and Telecommunications. Earlier, she broadened her academic horizons as a Visiting Scholar at the Rotman School of Management, University of Toronto, Canada, where she engaged with global scholars and enriched her perspectives on innovation strategy. Throughout her academic career, Dr. Wang has been deeply involved in delivering core courses such as Applied Statistics, Digital Innovation Strategy, and Corporate Technology Strategy, nurturing a new generation of business leaders and researchers.

Research Interest

Yanyu Wang’s research interests are primarily centered on innovation strategy, digital transformation of enterprises, and overseas R&D investments. She has explored how organizational characteristics, political influences, and policy interventions shape corporate innovation behaviors and strategies. Her work often adopts an interdisciplinary approach, merging concepts from organizational theory, strategic management, and technology studies to offer nuanced insights into enterprise growth and adaptation in dynamic environments. Dr. Wang is particularly interested in the imprinting effects of early-stage organizational experiences on long-term innovation outcomes, as well as the strategic considerations behind multinational enterprises’ R&D investments in foreign markets.

Award

Over the course of her career, Dr. Wang has received several prestigious honors recognizing her academic leadership and excellence. She was named a Youth Academic Leader by the Beijing Social Sciences Fund and recognized as a National Governance Youth Talent in Beijing. At the institutional level, she received multiple Outstanding Undergraduate Thesis Supervisor awards and was honored as an Advanced Individual of the School of Economics and Management. Her contributions to teaching were acknowledged with the First Prize and Second Prize in Teaching Achievements at BUPT. Additionally, during her doctoral studies at Tsinghua University, she was recognized as one of the Top 10 Academic Rising Stars, received the Outstanding Graduate Award, and won the First Prize for her Outstanding Doctoral Dissertation.

Publication

Yanyu Wang’s research contributions are reflected through impactful publications, often cited for their novel insights. Selected major works include:

“Policy Imprints: The impact of national innovation policy in firms’ founding period on subsequent innovation strategies,” published in R&D Management (2025, online);

“Visible hands: The impact of subsidy withdrawal on new energy vehicle enterprises’ innovation behaviors,” published in Energy Policy (2025, online);

“Excess IPO funds as an imprint: An imprinting perspective of acquisition activity,” in Asia Pacific Journal of Management (2023, early access);

“Political genes drive innovation: political endorsements and low-quality innovation,” in Structural Change and Economic Dynamics (2022, vol.60);

“Driving Factors of Digital Transformation for Manufacturing Enterprises: A Multi-case Study from China,” published in International Journal of Technology Management (2021, vol.87);

“What factors determine the subsidiary mode of overseas R&D by developing-country MNEs?” in R&D Management (2018, vol.48);

“Technological Capabilities, Political Connections and Entry Mode Choices of EMNEs Overseas R&D Investments,” published in International Journal of Technology Management (2019, vol.80); each of these articles has been cited in subsequent studies addressing corporate innovation strategies and digital enterprise development.

Conclusion

Dr. Yanyu Wang’s scholarly contributions in the fields of innovation strategy and digital transformation have established her as a significant figure in contemporary management research. By blending theoretical rigor with empirical investigation, she has provided valuable frameworks for understanding enterprise growth, technological capability development, and strategic adaptation. Her dedication to mentoring students, combined with her active research and participation in national-level projects, underscores her commitment to advancing academic and practical knowledge. Moving forward, her work promises to continue influencing both scholarly discussions and enterprise practices in the evolving digital economy landscape.

Guangbo Yu | Computer Science | Best Researcher Award

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Mr. Guangbo Yu | Computer Science | Best Researcher Award

Mr. Guangbo Yu, University of California, United States.

Guangbo Yu is a dedicated Ph.D. candidate at the University of California, Irvine, specializing in Biomedical Engineering. His research integrates artificial intelligence with radiological science, particularly focusing on innovative approaches to cancer immunotherapy. Yu combines his technical expertise in AI and medical imaging to advance predictive models for improved cancer treatment outcomes.

Profile

Google scholar

Strengths for the Award

Advanced Education and Specialization: Guangbo Yu has an extensive academic background, working toward a PhD in Biomedical Engineering with a focus on Radiological Science. This, combined with a master’s degree in Computer Science, showcases a strong multidisciplinary foundation, especially in applying computational techniques to complex medical challenges.

Cutting-Edge Research Focus: Yu’s work emphasizes the integration of artificial intelligence in cancer immunotherapy, particularly through MRI biomarkers, an area with significant potential for impact. This kind of innovation is both timely and crucial, given the growing importance of personalized medicine in oncology.

Practical AI Implementation Experience: Yu’s professional experience as an AI Engineer at Tencent Qtrade demonstrates practical skills in building scalable AI-driven systems, including the ability to handle real-world unstructured data. This expertise in AI, especially in Named Entity Recognition (NER) and model enhancement, reflects his ability to bring sophisticated AI models into actionable, large-scale applications—a valuable asset for advancing medical technology.

Robust Publication Record: With multiple peer-reviewed publications and conference presentations in leading venues, Yu has a proven track record of research dissemination. His publications cover impactful topics, from immunotherapy strategies to specific applications in hepatocellular carcinoma and pancreatic cancer, positioning him as a researcher contributing novel insights to the field.

Recognized Expertise in Radiomics: Yu’s presentations and publications underline his skill in MRI radiomics, a crucial technique for monitoring therapeutic outcomes. His work has been showcased at reputable conferences like the Society of Interventional Radiology Annual Meeting, suggesting that his research has been well-received by the scientific community.

Areas for Improvement

Broader Clinical Impact: While Yu’s work is highly specialized, a broader clinical focus, potentially expanding beyond MRI biomarkers and AI-driven imaging in immunotherapy, might make his research more universally applicable. Collaborations across more diverse medical imaging modalities or therapeutic fields could strengthen his versatility.

Increased Independent Research: Most of Yu’s listed publications involve collaboration with the same group of researchers, suggesting potential reliance on collaborative efforts with his advisor and other colleagues. Publishing independent research or leading a project might help demonstrate his capability to drive research innovations autonomously.

Focus on Clinical Outcomes: While AI advancements and radiomics techniques are valuable, furthering efforts to connect these techniques directly to patient outcomes and clinical protocols could enhance the practical relevance of his work. Translational research that bridges the gap between experimental AI models and routine clinical use would amplify his impact.

Education 🎓

Guangbo Yu holds a Master’s degree in Computer Science from the University of Southern California (2017) and a Bachelor’s degree in Software Engineering from the University of Electronic Science and Technology of China (2015). Currently, he is working towards a Ph.D. in Biomedical Engineering at the University of California, Irvine, under the guidance of Professor Zhuoli Zhang. This extensive academic foundation allows Yu to bridge computational techniques with radiology to address complex medical challenges.

Experience 💼

Yu has applied his AI expertise both in academia and industry. As a Graduate Assistant Researcher at UC Irvine since 2022, he develops AI-driven predictive models for cancer immunotherapy evaluation. Previously, he worked as an Artificial Intelligence Engineer at Tencent Qtrade in China (2020–2022), where he implemented advanced Named Entity Recognition (NER) techniques to transform financial data communications, improving data accuracy by 11% and increasing the user base fivefold.

Research Interests 🔬

Yu’s primary research interest lies in leveraging artificial intelligence to advance cancer immunotherapy treatments. His work seeks to enhance MRI-based predictive models for assessing immunotherapy responses, aiming to address significant challenges in treatment evaluation.

Awards 🏆

While details on specific awards are not provided in this CV, Yu’s ongoing contributions to both AI and medical imaging establish him as a notable figure in the field. His achievements in machine learning for healthcare and his impact at Tencent illustrate his potential to receive recognition for innovation and excellence in biomedical research.

Publications 📚

  1. Gan, W., Lin, Y., Yu, G., Chen, G., & Ye, Q. (2022). Qtrade AI at SemEval-2022 Task 11: A Unified Framework for Multilingual NER Task. 16th International Workshop on Semantic Evaluation (SemEval-2022). Cited by other papers for its advancements in multilingual NER applications.
  2. Yu, G., Zhang, Z., Eresen, A., Hou, Q., Garcia, E. E., Yu, Z., Abi-Jaoudeh, N., Yaghmai, V., & Zhang, Z. (2024). MRI Radiomics to Monitor Therapeutic Outcome of Sorafenib Plus IHA Transcatheter NK Cell Combination Therapy in Hepatocellular Carcinoma. Journal of Translational Medicine.
  3. Zhang, Z., Yu, G., Eresen, A., Chen, Z., Yu, Z., Yaghmai, V., & Zhang, Z. (2024). Dendritic Cell Vaccination Combined with Irreversible Electroporation for Treating Pancreatic Cancer – A Narrative Review. Annals of Translational Medicine (under review).
  4. Eresen, A., Zhang, Z., Yu, G., Hou, Q., Chen, Z., Yu, Z., Yaghmai, V., & Zhang, Z. (2024). Sorafenib Plus Intrahepatic Arterial Catheter Delivery of Memory-Like Natural Killer Cell Combination Therapy Boosts Therapeutic Response in Hepatocellular Carcinoma. Journal of Translational Medicine (under review).

Conclusion

Guangbo Yu’s qualifications make him a strong candidate for the “Best Researcher Award” due to his substantial contributions to biomedical imaging and AI applications in cancer therapy. His research holds promise for enhancing cancer treatment strategies, and his professional and academic accomplishments underscore his commitment to advancing his field. By broadening his focus to more independently led projects and directly linking his work to clinical outcomes, Yu could further elevate his profile and impact.