Zaixing Wang | Medicine | Best Researcher Award

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Prof. Dr. Zaixing Wang | Medicine | Best Researcher Award 

Dr. Zaixing Wang is a dermatologist at the First Affiliated Hospital of Anhui Medical University and a key researcher at the Ministry of Education’s Key Laboratory of Dermatology. His work focuses on autoimmune and inflammatory skin diseases, especially bullous pemphigoid and psoriasis. With strong expertise in immunology, single-cell transcriptomics, and molecular dermatology, he integrates clinical insight with advanced research to explore immune mechanisms in skin pathology.

Prof. Dr. Zaixing Wang | Anhui Medical University | China

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Education

  • Dr. Zaixing Wang received his medical education and specialized training in dermatology at Anhui Medical University. His academic foundation is rooted in a rigorous clinical and research environment, where he developed a strong interest in immune-mediated skin diseases. He advanced through academic programs that emphasized both theoretical knowledge and practical application in dermatology and immunology.

Experience

  • Dr. Wang is currently affiliated with the Department of Dermatology at the First Affiliated Hospital of Anhui Medical University. He is also a core member of the Key Laboratory of Dermatology under the Ministry of Education and the Inflammation and Immune-Mediated Diseases Laboratory of Anhui Province. His clinical and research work focuses on autoimmune blistering diseases, psoriasis, and other chronic inflammatory dermatoses. He plays a key role in leading and participating in several important clinical studies and translational research projects related to cutaneous immunopathology.

Awards and Recognition

  • Dr. Wang has been recognized through various institutional honors and national research grants supporting his work in immunodermatology. His contributions to high-impact scientific research have earned him acknowledgment within both clinical and academic communities. He has consistently been part of funded research programs supported by provincial science and technology platforms, reflecting the impact and value of his work in the medical field.

Skills and Certifications

  • Dr. Wang possesses extensive expertise in dermatological immunology, with strong skills in single-cell transcriptomics, molecular profiling, and immune cell analysis. He is proficient in exploring the genetic and cellular mechanisms underlying diseases such as bullous pemphigoid and psoriasis. His strengths lie in integrating clinical observations with laboratory-based approaches to unravel the role of immune dysregulation in skin pathology.

Research Focus

  • Dr. Wang’s research primarily focuses on understanding the immune mechanisms involved in autoimmune and inflammatory skin diseases. He investigates how specific HLA genotypes, cytokine networks, and immune cell subsets contribute to the pathogenesis of disorders like bullous pemphigoid. His studies also extend to the tumor microenvironment in skin cancers and the application of single-cell technologies to uncover novel diagnostic and therapeutic targets in dermatology.

Publications

    1. Integrated single-cell sequencing for the development of a GJA4-based precision immuno-prognostic model in melanoma
      Authors:  Zaixing Wang
      Journal: Translational Oncology

    2. HIPK4 accelerates cutaneous squamous cell carcinoma progression by phosphorylating TAp63 and inhibiting EFEMP1 expression
      Authors: Zaixing Wang
      Journal: Journal of Biological Chemistry

    3. Multitranscriptome analysis reveals stromal cells in the papillary dermis to promote angiogenesis in psoriasis vulgaris
      Authors: Zaixing Wang
      Journal: British Journal of Dermatology

    4. Recent advances in the genetics and innate immune cells of bullous pemphigoid
      Authors: First author, Zaixing Wang
      Journal: Review Article

    5. Proteomic Analysis Reveals Oxidative Phosphorylation and JAK-STAT Pathways Mediated Pathogenesis of Pemphigus Vulgaris
      Authors: Zaixing Wang
      Journal: Experimental Dermatology

Conclusion

  • Dr. Zaixing Wang is a dedicated clinician-scientist who has made meaningful contributions to the field of dermatological immunology. His ability to integrate clinical practice with cutting-edge research makes him a valuable asset in advancing the understanding of immune-mediated skin diseases. With a focus on innovation and a strong foundation in translational medicine, he continues to shape the future of dermatological research in China and beyond.

Guoqiang Li | Engineering | Innovative Research Award

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Dr. Guoqiang Li | Engineering | Innovative Research Award 

Dr. Guoqiang Li is a Lecturer and Master’s Supervisor at the School of Marine Engineering. He received his Ph.D. in Mechanical Engineering from Huazhong University of Science and Technology, following a Bachelor’s degree from Dalian Maritime University. His research focuses on the reliability analysis, anomaly detection, and intelligent fault diagnosis of offshore electromechanical equipment. He has led several national and provincial research projects and has expertise in industrial big data, AI algorithms, and smart operation platforms. Dr. Li is also a recipient of multiple science and teaching awards and has authored officially published textbooks.

Dr. Guoqiang Li | Jimei University | China

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Education

  • Dr. Guoqiang Li holds a Bachelor’s degree from Dalian Maritime University and earned both his Master’s and Doctoral degrees in Mechanical Engineering from Huazhong University of Science and Technology. His advanced training laid a strong foundation in engineering principles, particularly in the context of mechanical reliability and intelligent systems applied to offshore environments.

Experience

  • Dr. Li is currently serving as a Lecturer and Master’s Supervisor at the School of Marine Engineering. Since joining academia, he has been involved in teaching, mentoring graduate students, and spearheading innovative research. His contributions extend beyond his university role, having participated in national and provincial-level research initiatives and collaborated with major institutions such as Wuhan University of Technology. He has played both principal and collaborative roles in a variety of R&D projects focusing on marine power systems and intelligent control technologies.

Awards and Recognition

  • Dr. Li has received multiple accolades throughout his academic and research journey. These include prestigious Science and Technology Awards, recognition for Teaching Achievements, and the authorship of officially published textbooks. These honors underscore his excellence in both academic instruction and scientific innovation.

Skills and Certifications

  • His core competencies lie in reliability analysis, intelligent fault diagnosis, and predictive maintenance of offshore electromechanical systems. He is proficient in applying industrial big data analytics, artificial intelligence algorithms, and edge-cloud collaborative computing. Dr. Li is also skilled in the development of intelligent operation platforms and industrial internet systems that support real-time monitoring, diagnostics, and equipment self-regulation.

Research Focus

  • Dr. Li’s research centers on the intelligent monitoring and fault management of offshore equipment. He is especially interested in anomaly detection, condition assessment, and data-driven fault prediction. His work integrates cutting-edge technologies such as generative AI, deep reinforcement learning, and multi-source data fusion to enhance the autonomy and intelligence of marine mechanical systems. His goal is to develop systems capable of zero-sample learning, predictive maintenance, and self-healing control in complex maritime environments.

Conclusion

  • Dr. Guoqiang Li is a forward-thinking researcher and educator whose work lies at the intersection of artificial intelligence and marine engineering. With a firm academic grounding and an expanding portfolio of impactful projects, he continues to contribute to the advancement of intelligent fault diagnostics and system automation in offshore industries. His research and innovations are well-positioned to address the growing demand for smart, reliable, and efficient marine technologies.

Publications

  • Zero-sample fault diagnosis of rolling bearings via fault spectrum knowledge and autonomous contrastive learning
    Authors: Guoqiang Li, Meirong Wei, Defeng Wu, Yiwei Cheng, Jun Wu
    Journal: Expert Systems with Applications

  • Wavelet knowledge-driven transformer for intelligent machinery fault detection with zero-fault samples
    Authors: Guoqiang Li, Meirong Wei, Haidong Shao, Pengfei Liang, Chaoqun Duan
    Journal: IEEE Sensors Journal

  • Zero-fault sample wavelet knowledge-driven industrial robot fault detection
    Authors: Guoqiang Li, Meirong Wei, Defeng Wu, et al.
    Journal: Journal of Instrumentation

  • Deep reinforcement learning-based online domain adaptation method for fault diagnosis of rotating machinery
    Authors: Guoqiang Li, Jun Wu, Chao Deng, Xuebing Xu, Xinyu Shao
    Journal: IEEE/ASME Transactions on Mechatronics

  • Convolutional neural network-based Bayesian Gaussian mixture for intelligent fault diagnosis of rotating machinery
    Authors: Guoqiang Li, Jun Wu, Chao Deng, Zuoyi Chen, Xinyu Shao
    Journal: IEEE Transactions on Instrumentation and Measurement

Yujun Gao | Psychiatry | Best Researcher Award

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Prof. Yujun Gao | Psychiatry | Best Researcher Award

Dr. Yujun Gao is an Associate Chief Physician and Head of the Department of Psychiatry and Psychology at Wuchang Hospital, affiliated with Wuhan University of Science and Technology. He holds a PhD in Medicine and has received advanced training as a visiting scholar at McGill University and as a certified cognitive-behavioral therapist from the University of Oxford. His research focuses on neuroimaging biomarkers and psychiatric disorders such as depression, bipolar disorder, schizophrenia, and epilepsy. Dr. Gao has published peer-reviewed articles and has led multiple funded research projects. He also serves as a postgraduate mentor at several universities and is recognized as a leading medical talent in Wuhan.

Prof. Yujun Gao | Wuchang Hospital, Wuhan University of Science and Technology | China

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Education

  • Dr. Yujun Gao holds a PhD in Medicine and has received advanced training in cognitive-behavioral therapy through certification from the University of Oxford. He further expanded his academic horizon as a visiting scholar at McGill University in Canada, which enriched his international exposure to neuropsychiatric research and clinical methodologies.

Experience

  • Zhen has actively contributed to the academic community as a peer reviewer for several internationally recognized journals and conferences. His review work spans prestigious platforms such as Advanced Engineering Informatics, Knowledge-Based Systems, Engineering Applications of Artificial Intelligence, ISA Transactions, Measurement, Measurement Science and Technology, Journal of Mechanical Science and Technology, Engineering Research Express, and Scientific Reports. His peer review contributions highlight his depth of knowledge and his commitment to advancing research quality in the fields of mechanical systems and artificial intelligence.

Awards and Recognition

  • Dr. Gao has been honored as a distinguished medical talent in Wuhan. He is a recipient of multiple prestigious funding programs, including the Wuhan City Talent Research Initiation Project, Wuhan Talent Fund and the Wuchang Hospital Core Talent Fund. These recognitions underscore his contributions to psychiatric research and his role in advancing the field locally and nationally.

Skills and Certifications

  • Dr. Gao is proficient in psychiatric diagnosis and treatment, particularly within the Chinese clinical and cultural context. He is highly skilled in the use of neuropsychological assessment tools and imaging techniques. He is adept in MRI scanning protocols and data analysis using MATLAB, GRETNA, DPARSF, REST, PANDA, EXCEL, and SPSS. His knowledge also includes handling Chinese-language neuropsychological scales, and he holds a College English Test Band  certification, reflecting his competency in English communication.

Research Focus

  • Dr. Gao’s research is centered on neuropsychiatric disorders, with a strong emphasis on exploring neuroimaging biomarkers and machine learning approaches to diagnosis and treatment. His focus areas include Temporal Lobe Epilepsy, Bipolar Disorder, Mild Cognitive Impairment, Major Depressive Disorder, Insomnia, and Schizophrenia. His work often leverages resting-state functional MRI and advanced analytical techniques such as support vector machines and neural networks to understand brain network abnormalities and predict treatment outcomes.

Conclusion

  • Dr. Yujun Gao exemplifies a well-rounded and impactful clinician-scientist in the field of psychiatry and neuroimaging. With strong academic credentials, international training, and recognized expertise in both clinical practice and research, he has made significant contributions to understanding and diagnosing complex neuropsychiatric disorders. His leadership at Wuchang Hospital and dedication to mentoring future professionals further highlight his influence in shaping the next generation of psychiatric practitioners and researchers. Dr. Gao’s work, backed by numerous funded projects and high-impact publications, positions him as a leading figure in neuropsychiatric research in China and beyond.

Publications

Effect of oxide defect on photocatalytic properties of MSnO₃ (M = Ca, Sr, and Ba) photocatalysts
Authors: H. Li, Y. Gao, D. Gao, Y. Wang
Journal: Applied Catalysis B: Environmental

Abnormal fractional amplitude of low-frequency fluctuation as a potential imaging biomarker for first-episode major depressive disorder: a resting-state fMRI study and support
Authors: Y. Gao, X. Wang, Z. Xiong, H. Ren, R. Liu, Y. Wei, D. Li
Journal: Frontiers in Neurology

The artificial intelligence large language models and neuropsychiatry practice and research ethic
Authors: Y. Zhong, Y. Chen, Y. Zhou, Y.A.H. Lyu, J.J. Yin, Y. Gao
Journal: Asian Journal of Psychiatry

Abnormal degree centrality as a potential imaging biomarker for right temporal lobe epilepsy: a resting-state functional magnetic resonance imaging study and support vector
Authors: Y. Gao, Z. Xiong, X. Wang, H. Ren, R. Liu, B. Bai, L. Zhang, D. Li
Journal: Neuroscience

Abnormal default mode network homogeneity in treatment-naive patients with first-episode depression
Authors: Y. Gao, M. Wang, R.Q. Yu, Y. Li, Y. Yang, X. Cui, J. Zheng
Journal: Frontiers in Psychiatry

Zhen Guo | Engineering | Best Researcher Award

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Dr. Zhen Guo | Engineering | Best Researcher Award

Zhen Guo is a doctoral student at the School of Transportation and Logistics Engineering, Wuhan University of Technology. His research focuses on deep learning, fault diagnosis, and intelligent monitoring of rotating machinery. He specializes in anomaly detection, imbalance learning, few-shot learning, and transfer learning, applying these methods to improve reliability in robotics and mechanical systems. Zhen has served as a reviewer for several high-impact journals and conferences, reflecting his active engagement in the research community and his expertise in intelligent diagnostics and engineering applications.

Dr. Zhen Guo | Wuhan University of Technology | China

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Education

  • Zhen Guo is currently pursuing doctoral studies at Wuhan University of Technology in the School of Transportation and Logistics Engineering, where his research is focused on cutting-edge developments in intelligent systems and mechanical diagnostics. Prior to this, he completed his master’s studies at Zhengzhou University of Light Industry, laying a strong foundation in engineering and applied technologies. His academic path demonstrates a consistent focus on integrating deep learning with real-world engineering challenges.

Experience

  • Zhen has actively contributed to the academic community as a peer reviewer for several internationally recognized journals and conferences. His review work spans prestigious platforms such as Advanced Engineering Informatics, Knowledge-Based Systems, Engineering Applications of Artificial Intelligence, ISA Transactions, Measurement, Measurement Science and Technology, Journal of Mechanical Science and Technology, Engineering Research Express, and Scientific Reports. His peer review contributions highlight his depth of knowledge and his commitment to advancing research quality in the fields of mechanical systems and artificial intelligence.

Awards and Recognition

  • Zhen’s selection as a reviewer for top-tier journals and conferences serves as a testament to his expertise and standing within the academic community. This level of involvement often reflects recognition by peers and editors for his technical insight and critical thinking.

Skills and Certifications

  • Zhen’s core competencies include deep learning, fault diagnosis, robotics, rotating machinery analysis, anomaly detection, and imbalance learning. He is particularly skilled in emerging machine learning paradigms such as few-shot learning and transfer learning. His research integrates these advanced techniques to solve complex problems related to industrial automation and intelligent monitoring.

Research Focus

  • Zhen Guo’s research centers on the intersection of artificial intelligence and mechanical engineering, with an emphasis on fault diagnosis and intelligent monitoring systems. He is especially interested in leveraging deep learning for detecting anomalies in rotating machinery, optimizing performance through imbalance learning, and developing robust solutions using few-shot and transfer learning approaches. His work contributes to building smarter, more reliable engineering systems in transportation and logistics.

Conclusion

  • Zhen Guo is an emerging researcher with a strong academic background and a growing presence in the international engineering research community. His blend of expertise in machine learning and mechanical systems positions him as a promising scholar dedicated to advancing intelligent diagnostics and automation. His contributions as a reviewer and researcher underscore his commitment to innovation and academic excellence.

Publications

  • Few-shot sample multi-class incremental fault diagnosis for gearbox based on convolutional-attention fusion network
    Authors: Guo, Z.; Du, W.; Liu, Z.; Hu, T.; Yu, Y.; Li, C.
    Journal: Expert Systems with Applications

  • Squeeze-and-excitation attention residual learning of propulsion fault features for diagnosing autonomous underwater vehicles
    Authors: Du, W.; Yu, X.; Guo, Z.; Wang, H.; Pu, Z.; Li, C.
    Journal: Journal of Field Robotics

  • Unsupervised anomaly detection for gearboxes based on the deep convolutional support generative adversarial network
    Authors: Chengguang Zhang; Zhen Guo; Chuan Li
    Journal: Scientific Reports

  • Channel attention residual transfer learning with LLM fine-tuning for few-shot fault diagnosis in autonomous underwater vehicle propellers
    Authors: Wenliao Du; Xinlong Yu; Zhen Guo; Hongchao Wang; Yiyuan Gao; Ziqiang Pu; Guanghua Li; Chuan Li
    Journal: Ocean Engineering

  • Fault diagnosis of rotating machinery with high-dimensional imbalance samples based on wavelet random forest
    Authors: Zhen Guo; Wenliao Du; Chuan Li; Xibin Guo; Zhiping Liu
    Journal: Measurement

Hanjun Zhao | Antiviral study | Best Researcher Award

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Prof. Hanjun Zhao | Antiviral study | Best Researcher Award

Professor Hanjun Zhao is a virologist and Professor at Fudan University, with a Ph.D. in Microbiology from The University of Hong Kong. He has held research positions at the University of Hong Kong, served as a Principal Investigator in Hong Kong’s Centre for Virology, and was a visiting researcher at Imperial College London. His research focuses on antiviral therapeutics, nanoparticle-based drug delivery, and vaccine development. With multiple international awards and over a decade of scientific leadership, Professor Zhao is recognized for his innovative contributions to combating influenza, coronaviruses, and emerging infectious diseases.

Prof. Hanjun Zhao | Shanghai Institute of Major Infectious Diseases and Biosafety | China

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Education

  • Professor Hanjun Zhao received his MBBS degree from the College of Medicine, Anhui University of Science and Technology. He then pursued a Master of Science degree at the School of Life Sciences, Anhui Normal University, which he completed, he earned his Ph.D. in Microbiology from the Department of Microbiology at The University of Hong Kong, establishing a strong academic foundation in virology, immunology, and infectious disease research.

Experience

  • After completing his Ph.D., Professor Zhao began his postdoctoral research fellowship at The University of Hong Kong, continuing until January . During this time, he was deeply engaged in cutting-edge microbiological and virological research. He served as a Research Assistant Professor at the same institution. In parallel, starting from , he has been a Principal Investigator at the Centre for Virology, Vaccinology and Therapeutics in Hong Kong. He also broadened his international research experience as a Visiting Researcher at Imperial College London. As of September, he holds the position of Professor at Fudan University, where he continues to advance his research and mentor future scientists.

Awards and Recognition

  • Professor Zhao has been recognized with numerous prestigious awards throughout his career. He received two Bronze Prizes at the 49th International Exhibition of Inventions of Geneva—one for his work on broad-spectrum antiviral peptides and another for his innovative dual-functional nanoparticle DIG targeting influenza and coronavirus. He was also selected for the Talent Plan of Shanghai Baiyulan. He won first place in the Best Papers Award from Emerging Microbes and Infections , he received the Faculty Outstanding Research Output Award from The University of Hong Kong and was honored with a travel award as a representative of Hong Kong Young Scientists at the World Life Science Conference.

Skills and Certifications

  • Professor Zhao possesses a comprehensive skill set in virology, antiviral drug development, nanoparticle engineering, and immunological assay design. His expertise spans molecular microbiology, viral pathogenesis, and translational therapeutics. He is known for developing broad-spectrum antivirals and functional nanomedicine platforms, which hold promise for combatting emerging infectious diseases. His ability to integrate basic science with applied therapeutic innovation is one of his key strengths.

Research Focus

  • Professor Zhao’s research centers on virology, with a particular emphasis on antiviral strategies and vaccine development. He focuses on the design and functional testing of broad-spectrum antiviral peptides, nanoparticle-based delivery systems, and therapeutic solutions for influenza viruses and coronaviruses. As a Principal Investigator, he is dedicated to exploring the mechanisms of viral infection and immune response, while advancing new approaches in virus-targeted nanomedicine and immunotherapeutics.

Conclusion

  • In conclusion, Professor Hanjun Zhao is a leading expert in virology and antiviral therapeutics, with a strong track record in translational research and international collaboration. His pioneering work on broad-spectrum antiviral agents and nanoparticle-based treatments has earned global recognition and prestigious awards. With a deep foundation in microbiology and a forward-looking approach to infectious disease control, he continues to make significant contributions to global health and biomedical innovation.

Publications

  • Human neutralizing antibodies target a conserved lateral patch on H7N9 hemagglutinin head
    Authors: Manxue Jia, HanJun Zhao, Nicholas C. Morano, Hong Lu, Yin-Ming Lui, Haijuan Du, Jordan E. Becker, Kwok-Yung Yuen, David D. Ho, Peter D. Kwong et al.
    Journal: Nature Communications

  • Allosteric Neutralization by Human H7N9 Antibodies
    Authors: Xueling Wu, Manxue Jia, HanJun Zhao, Nicholas Morano, Hong Lu, Yin-Ming Lui, Haijuan Du, Jordan Becker, Kwok-Yung Yuen, David Ho et al.
    Journal: Preprint (Research Square)

  • Long-term effects of SARS-CoV-2 infection on human brain and memory
    Authors: Qiulu Ding, HanJun Zhao
    Journal: Cell Death Discovery

Xin Hu | Smart Education | Best Researcher Award

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Dr. Xin Hu | Smart Education | Best Researcher Award

Xin Hu is a Lecturer at the School of Data Science and Artificial Intelligence, Chang’an University. Her research focuses on computer vision, few-shot learning, and multimodal learning. She earned her Ph.D. in Computer Science and Technology from Xi’an Jiaotong University, where she contributed to national key research projects in educational data analysis and knowledge engineering. Xin has published in top journals such as IEEE Transactions on Image Processing, Neural Computation, and AAAI, with notable work on few-shot diagram understanding and cross-modal attention models.

Dr. Xin Hu | Chang’an University | China

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Education

  • Xin Hu has a strong educational foundation rooted in computer science and technology. She completed her doctoral studies at Xi’an Jiaotong University in Computer Science and Technology under the supervision of Professor Jun Liu. Before that, she earned her Master of Engineering in Computer Technology and her Bachelor’s degree in Digital Media Technology from Xi’an Shiyou University, mentored by Professor Hongtao Hu. This academic trajectory reflects her deep engagement with both theoretical and applied aspects of computer science.

Experience

  • Xin Hu currently serves as a Lecturer at the School of Data Science and Artificial Intelligence, Chang’an University. Her professional journey began with project work related to semantic retrieval at Xi’an Shiyou University, which evolved into more advanced research during her doctoral studies. Her core research experience includes significant contributions to few-shot learning, object detection, and multimodal learning. She has led and contributed to several national key research projects, including those related to educational data analysis, big data knowledge engineering, and cross-modal retrieval. Her work has focused on solving real-world challenges such as diagram-sentence matching and fine-grained image classification.

Awards and Recognition

  • Xin Hu has made notable contributions to academic conferences and journals. Her research has been published in prestigious venues such as Neural Computation, IEEE Transactions on Image Processing, AAAI Conference on Artificial Intelligence, and IJCAI. These accomplishments reflect the quality and impact of her research in few-shot and multimodal learning. Her collaboration with interdisciplinary teams and leadership in project development have also established her as a promising scholar in artificial intelligence and computer vision.

Skills and Certifications

  • Xin Hu is proficient in machine learning, deep learning, and cross-modal attention modeling. She has hands-on experience with end-to-end attention-based models, anchor-free object detection frameworks, and multimodal learning strategies. Technically, she is skilled in backend and frontend development frameworks such as Spring Boot and React. Her analytical skills are complemented by her ability to guide and mentor junior researchers in complex research settings.

Research Focus

  • Xin Hu’s primary research interests lie at the intersection of computer vision, few/one-shot learning, and multimodal learning. She is particularly focused on educational applications of AI, such as diagram understanding and knowledge graph visualization. Her work explores how to make intelligent systems capable of recognizing, detecting, and relating uncommon visual and textual content from limited data. This includes the development of innovative models like the cross-modal attention graph model (Fs-DSM) and gestalt-perception-based transformers for diagram interpretation. Her research is aimed at bridging the gap between human-level perception and machine understanding in data-scarce scenarios.

Conclusion

  • Xin Hu exemplifies a new generation of researchers working at the frontier of artificial intelligence and education technology. With a firm grounding in computer vision and few-shot learning, her work addresses pressing problems in multimodal understanding and educational intelligence. Her blend of technical skill, academic rigor, and leadership makes her a valuable contributor to the research community, particularly in areas requiring innovative solutions for complex and underexplored data challenges.

Publications

  • LFSRM: Few-Shot Diagram-Sentence Matching via Local-Feedback Self-Regulating Memory
    Authors: Lingling Zhang, Wenjun Wu, Jun Liu, Xiaojun Chang, Xin Hu, Yuhui Zheng, Yaqiang Wu, Qinghua Zheng
    Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence

  • Hierarchy-Based Diagram-Sentence Matching on Dual-Modal Graphs
    Authors: Wenjun Wu, Lingling Zhang, Jun Liu, Ming Ren, Xin Hu, Jiaxin Wang, Qianying Wang
    Journal: Pattern Recognition

  • SKFormer: Diagram Captioning via Self-Knowledge Enhanced Multi-Modal Transformer
    Authors: Xin Hu, Jiaxin Wang, Tao Gao
    Journal: Signal Processing

  • Alignment Relation is What You Need for Diagram Parsing
    Authors: Xinyu Zhang, Lingling Zhang, Xin Hu, Jun Liu, Shaowei Wang, Qianying Wang
    Journal: IEEE Transactions on Image Processing

  • Contrastive Graph Representations for Logical Formulas Embedding
    Authors: Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng
    Journal: IEEE Transactions on Knowledge and Data Engineering

Wenping Lv | Food Science | Excellence in Innovation

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Mr. Wenping Lv | Food Science | Excellence in Innovation

Dr. Lv Wenping is an Associate Professor and Master’s Supervisor at the School of Food Science and Technology, Jiangnan University. He received his Ph.D. from Zhejiang University and has served as a visiting scholar at Virginia Tech, USA. His teaching focuses on Biochemistry, Molecular Biology, and Genetic Engineering. His research explores the screening and enzymatic synthesis of food functional factors, as well as the development of functional beverages. He has led over ten major research projects, published more than 50 academic papers, and co-authored several national textbooks. Honored as Jiangnan University’s “Most Beloved Teacher,” he is also a member of the Jiusan Society.

Mr. Wenping Lv | Jiangnan University | China

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Education

  • Dr. Lv Wenping earned his doctoral degree from Zhejiang University, one of China’s premier institutions known for its strong emphasis on science and technology. His academic training laid a solid foundation in food science, particularly in biochemistry and biotechnology. His educational journey equipped him with the theoretical knowledge and research capabilities necessary to excel in both teaching and innovation in food functional components.

Experience

  • Dr. Lv has built a robust academic and research career at Jiangnan University, serving as an Associate Professor and Master’s Supervisor in the School of Food Science and Technology. He has also gained international academic exposure as a visiting scholar at Virginia Tech in the United States. Throughout his career, he has been actively engaged in teaching core subjects such as Biochemistry, Biochemical Experiments, Molecular Biology, and Genetic Engineering, while mentoring graduate students and young researchers in advanced food science research.

Awards and Recognition

  • Dr. Lv has been recognized for his outstanding contributions to education and mentorship with the title of “Most Beloved Teacher” by Jiangnan University. His commitment to excellence and student-centered teaching has made him a respected figure among peers and learners alike. In addition to academic honors, he holds membership in the Jiusan Society, reflecting his dedication to science and public service.

Skills and Certifications

  • Dr. Lv possesses deep expertise in functional food chemistry and biotechnology. His core skills include the screening and structure-activity analysis of food functional factors, enzymatic synthesis techniques, and the development of formulations for functional beverages. He is proficient in both experimental and theoretical aspects of molecular biology, making him a valuable contributor to interdisciplinary research in food science.

Research Focus

  • Dr. Lv Wenping stands out as an accomplished educator and researcher whose work bridges academic excellence and practical innovation. His multidisciplinary approach, commitment to teaching, and impactful contributions to the field of food functional factors have positioned him as a leading figure in food science and technology.

Conclusion

  • Xiaoyu Wang stands out as a leading researcher in the convergence of biomaterials and immunological engineering. Through innovative platforms and translational research, she has advanced the development of next-generation vaccines and therapeutic strategies. Her sustained excellence, creativity, and impact position her as a key contributor to the future of biomedical materials science and its role in public health advancement.

Publications

  • Deodorization of Oviductus ranae: Establishment of ultrasound-composite natural products method
    Authors: Yu Wang, Weiben Ge, Haixuan Sun, Jinghui Chen, Zan Hu, Guandong Fang, Wenping Lv, Hongxin Wang
    Journal: Food & Nutrition

  • Effects of freeze‐thawing, blanching, and ultrasound pretreatments on drying efficiency and quality of quince peels
    Authors: Pei Wang, Wenping Lv, Hongxin Wang
    Journal: Journal of Food Science

  • PEG-based-ultrasound-microwave synergistic extraction of mucilage polysaccharides from chia seed: Structural characterization and bioactivity
    Authors: Jinghui Chen, Weiben Ge, Pei Wang, Hongxin Wang
    Journal: International Journal of Biological Macromolecules

  • Comparison of extraction process, physicochemical properties, and in vitro digestion characteristics of chia seed mucilage polysaccharide
    Authors: Jinghui Chen, Weiben Ge, Pei Wang, Hongxin Wang
    Journal: International Journal of Biological Macromolecules

  • Effects of freeze-hot air drying on physicochemical properties and anti-tyrosinase activity of quince peels
    Authors: Pei Wang, Wenping Lv, Hongxin Wang
    Journal: Food Chemistry

Chien-Hung Yeh | Medical AI | Best Researcher Award

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Prof. Dr. Chien-Hung Yeh | Medical AI | Best Researcher Award

Professor Chien-Hung Yeh is a tenured professor at Beijing Institute of Technology and a National High-Level Fellow. He received his Ph.D. through a joint program between Harvard Medical School and National Central University. With over 50 publications in top journals including Nature Communications and Scientific Reports, and more than 15 patents, his work focuses on neuromodulation, medical AI, and brain-computer interfaces. He has led major national R&D projects and collaborates globally with leading institutions such as Oxford and Harvard. His innovations have significantly advanced clinical neuroscience and intelligent healthcare technologies.

Prof. Dr. Chien-Hung Yeh | Beijing Institute of Technology | China

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Education

  • Professor Chien-Hung Yeh earned his doctorate under joint supervision from Harvard Medical School and National Central University. This rigorous interdisciplinary training in biomedical sciences laid a solid foundation for his research in neuromodulation, medical AI, and brain network dynamics.

Experience

  • Currently serving as a tenured professor at the Beijing Institute of Technology, Professor Yeh is also a National High-Level Fellow. He has led numerous prestigious research projects, including those funded by the National Key R&D Program of China, the National Natural Science Foundation of China (NSFC), and the Beijing Municipal Health Commission. His industrial experience includes serving as a technical consultant for Kao Corporation and engaging in collaborative innovation with Neuracle Technology Co., Ltd.

Awards and Recognition

  • Professor Yeh has received widespread recognition for his innovative work, including leadership in a Qualcomm Tricorder XPRIZE runner-up team. He is an editor for several top-tier journals and serves as a reviewer and expert advisor for China’s Ministry of Education, the National Science Foundation of China, and the Ministry of Industry and Technology. He is frequently invited to chair IEEE conferences and contribute to national scientific committees.

Skills and Certifications

  • Professor Yeh’s technical strengths lie in cross-frequency coupling analysis, neuromodulation, medical artificial intelligence, and brain-computer interface development. He has developed clinical-grade algorithms that support deep brain stimulation, ICU patient monitoring, and intelligent medical diagnostics. With over 50 peer-reviewed journal publications, more than 15 patents, and a published book on intelligent healthcare, his expertise spans both theory and translational applications.

Research Focus

  • His primary research interests include dynamic cross-frequency coupling, neuromodulation mechanisms, and applications of artificial intelligence in clinical medicine. Professor Yeh collaborates with world-leading researchers, including Peter Brown and Ashwin Oswal at Oxford University and Kun Hu and Peng Li at Harvard Medical School. He plays an active role in scientific communities as a senior member of the IEEE and several biomedical and AI-focused societies in China. His research continues to push the boundaries of computational neuroscience and smart healthcare.

Conclusion

  • In conclusion, Professor Chien-Hung Yeh is a pioneering figure at the intersection of neuroscience, medical AI, and biomedical engineering. His groundbreaking research, global collaborations, and impactful innovations have significantly advanced clinical diagnostics and brain-computer interface technologies. With a strong academic foundation, extensive project leadership, and active roles in international scientific communities, he continues to shape the future of intelligent medicine and neurotechnology.

Publications

  • Query-based-learning mortality-related decoders for the developed island economy
    Authors: Chien-Hung Yeh
    Journal: Scientific Reports

  • AshOswal/Multimodal_Tools: Multimodal Tools
    Authors: Chien-Hung Yeh
    Journal: Zenodo

  • Neural signatures of hyperdirect pathway activity in Parkinson’s disease
    Authors: Chien-Hung Yeh
    Journal: Nature Communications

  • Investigating Variational Phase-Amplitude Coupling in EEG-based Emotion Recognition
    Authors: Chien-Hung Yeh
    Journal: 2021 10th International IEEE/EMBS Conference on Neural Engineering (NER)

  • Waveform changes with the evolution of beta bursts in the human subthalamic nucleus
    Authors: Chien-Hung Yeh
    Journal: Clinical Neurophysiology

Xiaoyu Wang | Biomaterials | Best Researcher Award

Published on by China Scientist

Assoc. Prof. Dr. Xiaoyu Wang | Biomaterials | Best Researcher Award

Xiaoyu Wang is a researcher at the Center for Biomaterials and Bioelectronics, Qiushi Academy for Advanced Studies, Zhejiang University. Her work focuses on biomimetic mineralization-based materials for vaccine development and immune regulation. She has pioneered virus-mimicking vaccine strategies and engineered biomaterials such as hydrogels to enhance immunomodulation. With over 50 high-impact publications in journals like Nature Biomedical Engineering and Advanced Materials, she has received recognition including the High Impact Academic Paper Award from the Chinese Thoracic Society.

Assoc. Prof. Dr. Xiaoyu Wang | Zhejiang University | China

Profile

SCOPUS ID

ORCID ID

Education

  • Xiaoyu Wang earned her doctoral degree from Zhejiang University, one of China’s most prestigious institutions known for innovation and excellence in science and engineering. Her advanced training laid a strong foundation in bioengineering, immunology, and material science, setting the stage for a prolific research career at the interface of materials and biomedical applications.

Experience

  • Upon completing her Ph.D., Xiaoyu Wang joined the Center for Biomaterials and Bioelectronics (CBB) at the Qiushi Academy for Advanced Studies, Zhejiang University. There, she has developed and led groundbreaking work in the field of biomaterials, focusing on vaccine platforms and immune engineering. Her work has extended across multiple interdisciplinary domains, where she bridges biomaterials science, synthetic biology, and translational immunotherapy.

Awards and Recognition

  • Xiaoyu Wang’s scientific contributions have been widely acknowledged, including the prestigious High Impact Academic Paper Award from the Chinese Thoracic Society under the Chinese Medical Association. Her pioneering work in vaccine and immunomodulatory biomaterials has been published extensively in top-tier journals such as Nature Biomedical Engineering, Nature Communications, Advanced Materials, and Biomaterials, reflecting her influence and leadership in the field.

Skills and Certifications

  • Wang’s core competencies include biomimetic material synthesis, hydrogel engineering, nanomedicine, vaccine formulation, and immunoengineering. She has deep expertise in fabricating virus-mimicking vaccine structures and designing advanced delivery systems that modulate the immune system. Her ability to integrate materials science with biological function has enabled her to create platforms for both prophylactic and therapeutic applications, particularly in infectious disease prevention and oncology.

Research Focus

  • Xiaoyu Wang’s research centers on regulating biological processes through biomimetic mineralization-based materials. She has pioneered new approaches to vaccine development by mimicking viral structures and enhancing immunogenicity through bioengineered materials. Her interests lie particularly in biomaterial-enabled immunomodulation, the creation of synthetic and bioinspired vaccine delivery systems, and the therapeutic application of hydrogels and nanomaterials. Her work also extends to cancer immunotherapy and antiviral platforms, with a focus on practical translation of material innovations to clinical applications.

Conclusion

  • Xiaoyu Wang stands out as a leading researcher in the convergence of biomaterials and immunological engineering. Through innovative platforms and translational research, she has advanced the development of next-generation vaccines and therapeutic strategies. Her sustained excellence, creativity, and impact position her as a key contributor to the future of biomedical materials science and its role in public health advancement.

Publications

  • Hydrogel activation of Mincle receptors for tumor cell processing: A novel approach in cancer immunotherapy
    Authors: J. Lin, Y. Zhou, C. Li, B. Li, H. Hao, F. Tian, H. Li, Z. Liu, G. Wang, X.-C. Shen, R. Tang, X. Wang
    Journal: Biomaterials

  • Manganese-mineralized cancer cells as immunogenic cancer vaccines for tumor immunotherapy
    Authors: Zhenyu Liu, Jiake Lin, Benke Li, Yuemin Zhou, Chen Li, Yihao Cui, Fengchao Tian, Ruikang Tang, Xiaoyu Wang
    Journal: Journal of Materials Chemistry B

  • Material-engineered bioartificial microorganisms enabling efficient scavenging of waterborne viruses
    Authors: Huixin Li, Yanpeng Xu, Yang Wang, Yihao Cui, Jiake Lin, Yuemin Zhou, Shuling Tang, Ying Zhang, Haibin Hao, Zihao Nie, Xiaoyu Wang, Ruikang Tang
    Journal: Nature Communications

  • Immunization against Zika by entrapping live virus in a subcutaneous self-adjuvanting hydrogel
    Authors: Haibin Hao, Shipo Wu, Jiake Lin, Zitong Zheng, Yuemin Zhou, Ying Zhang, Qiang Guo, Fengchao Tian, Mengsu Zhao, Yi Chen, Xiaoyu Wang, Ruikang Tang
    Journal: Nature Biomedical Engineering

  • Biomimetic mineralization with enhanced hydrogen-bond interactions for protein stabilization
    Authors: Yihao Cui, Shuling Tang, Tianren Liu, Chen Luo, Xiaoyu Wang
    Journal: Journal of Materials Chemistry B

HanJun Zhao | Antiviral study | Best Researcher Award

Published on by China Scientist

Prof. HanJun Zhao | Antiviral study | Best Researcher Award

Professor HanJun Zhao is a virologist and Professor at Fudan University, with a Ph.D. in Microbiology from The University of Hong Kong. He has held research positions at the University of Hong Kong, served as a Principal Investigator in Hong Kong’s Centre for Virology, and was a visiting researcher at Imperial College London. His research focuses on antiviral therapeutics, nanoparticle-based drug delivery, and vaccine development. With multiple international awards and over a decade of scientific leadership, Professor Zhao is recognized for his innovative contributions to combating influenza, coronaviruses, and emerging infectious diseases.

Prof. HanJun Zhao | Shanghai Institute of Major Infectious Diseases and Biosafety | China

Profile

ORCID ID

Education

  • Professor HanJun Zhao received his MBBS degree from the College of Medicine, Anhui University of Science and Technology. He then pursued a Master of Science degree at the School of Life Sciences, Anhui Normal University, which he completed, he earned his Ph.D. in Microbiology from the Department of Microbiology at The University of Hong Kong, establishing a strong academic foundation in virology, immunology, and infectious disease research.

Experience

  • After completing his Ph.D., Professor Zhao began his postdoctoral research fellowship at The University of Hong Kong, continuing until January . During this time, he was deeply engaged in cutting-edge microbiological and virological research. He served as a Research Assistant Professor at the same institution. In parallel, starting from , he has been a Principal Investigator at the Centre for Virology, Vaccinology and Therapeutics in Hong Kong. He also broadened his international research experience as a Visiting Researcher at Imperial College London. As of September, he holds the position of Professor at Fudan University, where he continues to advance his research and mentor future scientists.

Awards and Recognition

  • Professor Zhao has been recognized with numerous prestigious awards throughout his career. He received two Bronze Prizes at the 49th International Exhibition of Inventions of Geneva—one for his work on broad-spectrum antiviral peptides and another for his innovative dual-functional nanoparticle DIG targeting influenza and coronavirus. He was also selected for the Talent Plan of Shanghai Baiyulan. He won first place in the Best Papers Award from Emerging Microbes and Infections , he received the Faculty Outstanding Research Output Award from The University of Hong Kong and was honored with a travel award as a representative of Hong Kong Young Scientists at the World Life Science Conference.

Skills and Certifications

  • Professor Zhao possesses a comprehensive skill set in virology, antiviral drug development, nanoparticle engineering, and immunological assay design. His expertise spans molecular microbiology, viral pathogenesis, and translational therapeutics. He is known for developing broad-spectrum antivirals and functional nanomedicine platforms, which hold promise for combatting emerging infectious diseases. His ability to integrate basic science with applied therapeutic innovation is one of his key strengths.

Research Focus

  • Professor Zhao’s research centers on virology, with a particular emphasis on antiviral strategies and vaccine development. He focuses on the design and functional testing of broad-spectrum antiviral peptides, nanoparticle-based delivery systems, and therapeutic solutions for influenza viruses and coronaviruses. As a Principal Investigator, he is dedicated to exploring the mechanisms of viral infection and immune response, while advancing new approaches in virus-targeted nanomedicine and immunotherapeutics.

Conclusion

  • In conclusion, Professor HanJun Zhao is a leading expert in virology and antiviral therapeutics, with a strong track record in translational research and international collaboration. His pioneering work on broad-spectrum antiviral agents and nanoparticle-based treatments has earned global recognition and prestigious awards. With a deep foundation in microbiology and a forward-looking approach to infectious disease control, he continues to make significant contributions to global health and biomedical innovation.

Publications

  • Human neutralizing antibodies target a conserved lateral patch on H7N9 hemagglutinin head
    Authors: Manxue Jia, HanJun Zhao, Nicholas C. Morano, Hong Lu, Yin-Ming Lui, Haijuan Du, Jordan E. Becker, Kwok-Yung Yuen, David D. Ho, Peter D. Kwong et al.
    Journal: Nature Communications

  • Allosteric Neutralization by Human H7N9 Antibodies
    Authors: Xueling Wu, Manxue Jia, HanJun Zhao, Nicholas Morano, Hong Lu, Yin-Ming Lui, Haijuan Du, Jordan Becker, Kwok-Yung Yuen, David Ho et al.
    Journal: Preprint (Research Square)

  • Long-term effects of SARS-CoV-2 infection on human brain and memory
    Authors: Qiulu Ding, HanJun Zhao
    Journal: Cell Death Discovery