Professor at School of Computer and Information Engineering, Henan University, China
Professor Yang Liu is a leading researcher in the field of Quantum Brain and Mind-inspired Computing, with an interdisciplinary focus that spans artificial intelligence, computer vision, spiking neural networks, and multimodal big data analysis. He currently serves as a professor and Ph.D. supervisor at the School of Computer and Information Engineering, Henan University, China. Over the years, he has led and contributed to more than 30 national and provincial research projects and published over 70 papers in reputed journals, alongside 11 patents and a scholarly book. His work has advanced intelligent diagnosis systems, environmental data processing, and aesthetic computing, bridging theoretical innovation and real-world application. As a member of prominent organizations like IEEE, ACM, CCF, and CAAI, Professor Liu has built a reputation for academic excellence, technological innovation, and impactful research. His leadership in brain-inspired computing continues to shape emerging trends in cognitive computing and artificial general intelligence.
Professional Profile
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Education
Professor Yang Liu began his academic journey with a Bachelor of Science degree from Changchun University of Science and Technology. He later pursued advanced studies at Henan University, where he earned his Master’s degree and subsequently completed his Ph.D. in Computer Science. His doctoral research laid the groundwork for his later contributions to brain-inspired computing and artificial intelligence. The focus of his academic training has been consistently aligned with high-impact areas such as neural computing, multimodal learning, and cognitive systems. His education at Henan University not only provided him with technical expertise but also positioned him within China’s evolving landscape of intelligent systems research. Throughout his academic development, Professor Liu has maintained a strong commitment to interdisciplinary learning, integrating principles from neuroscience, computer engineering, and information science, which now serve as the foundation for his work in both theoretical research and applied technological innovation.
Professional Experience
Professor Yang Liu has accumulated over two decades of professional experience in academia and research. He is currently a full professor and Ph.D. supervisor at the School of Computer and Information Engineering at Henan University, China. In this role, he leads the Brain-inspired Intelligence Science and Technology Innovative Team, overseeing cutting-edge research in quantum brain-inspired computing and large-scale multimodal systems. Over the years, he has successfully managed over 30 scientific projects at the national and provincial levels, including those funded by the National Natural Science Foundation of China and the National Civil Space Infrastructure. He has also played a vital role in national Earth observation initiatives and various cross-disciplinary projects involving remote sensing, medical image analysis, and intelligent systems. In addition to research and teaching, Professor Liu mentors graduate students and contributes to curriculum development, demonstrating his strong leadership and commitment to academic growth and interdisciplinary collaboration.
Research Interest
Professor Yang Liu’s research interests lie at the intersection of brain-inspired computing, artificial intelligence, and multimodal big data processing. A major focus of his work is on Quantum Brain and Mind-inspired Computing (QBMC), a novel theoretical framework that integrates cognitive neuroscience with advanced neural network architectures. His interests also include spiking neural networks, cross-modal recognition, remote sensing intelligence, and the design of algorithms for aesthetic and semantic computing. He explores how neural mechanisms can be simulated and applied in computational models for intelligent diagnosis, environmental monitoring, and decision-making systems. His research spans both theoretical development and system-level implementation, particularly in the analysis of spatiotemporal big data and hyperspectral image classification. Professor Liu is also actively involved in applying AI to fields like healthcare, where he works on developing models for the intelligent diagnosis of mental and neurological disorders. His research aims to bring cognitive intelligence closer to real-world usability and application.
Award and Honor
Professor Yang Liu has earned multiple accolades throughout his academic career, reflecting his impactful contributions to research and innovation. He has served as the Principal Investigator of several high-profile projects funded by the National Natural Science Foundation of China and national Earth observation programs. He has been recognized for his excellence in research through leadership roles and inclusion in prestigious innovation teams, such as the Brain-inspired Intelligence Science and Technology Innovative Team. His publications in leading journals, patents, and research outputs have received commendation at both institutional and national levels. He is also a respected member of global scientific organizations such as IEEE, ACM, CCF, and CAAI, which acknowledges his contributions to the advancement of intelligent systems and computer science. These recognitions highlight his academic excellence, leadership capabilities, and commitment to addressing global challenges through innovative research in AI and cognitive computing.
Research Skill
Professor Yang Liu possesses a robust set of research skills that span theoretical modeling, algorithm development, data analysis, and interdisciplinary integration. His expertise in Quantum Brain and Mind-inspired Computing equips him with the ability to design complex neural models inspired by human cognition. He is highly proficient in developing and implementing spiking neural networks, cross-modal learning algorithms, and neural cognitive computing systems. His skills extend to remote sensing data analysis, aesthetic computing, and hyperspectral image processing using advanced AI methods. With hands-on experience in managing multimodal big data and leading AI-driven applications in healthcare and environmental science, Professor Liu combines domain knowledge with technical rigor. He is adept in MATLAB, Python, TensorFlow, and other scientific computing tools. Additionally, his ability to lead collaborative projects and guide Ph.D. students reflects his strengths in research planning, team management, and scientific communication. His research skills make him a key contributor to the evolution of intelligent systems.
Publications Top Notes
Title: SAR ship detection using sea-land segmentation-based convolutional neural network
Authors: Y Liu, M Zhang, P Xu, Z Guo
Year: 2017
Citations: 112
Title: Chi-squared distance metric learning for histogram data
Authors: W Yang, L Xu, X Chen, F Zheng, Y Liu*
Year: 2015
Citations: 43
Title: Aircraft detection for remote sensing images based on deep convolutional neural networks
Authors: L Zhou, H Yan, Y Shan, C Zheng, Y Liu, X Zuo, B Qiao
Year: 2021
Citations: 32
Title: Spatio-temporal variations in NO2 and PM2.5 over the central plains economic region of China during 2005–2015 based on satellite observations
Authors: K Cai, S Li, F Zheng, C Yu, X Zhang, Y Liu, Y Li
Year: 2018
Citations: 30
Title: Review on High Resolution Remote Sensing Image Classification and Recognition
Authors: Y Liu, Z Fu, F Zheng*
Year: 2015
Citations: 30
Title: A novel image encryption algorithm using PWLCM map-based CML chaotic system and dynamic DNA encryption
Authors: J Tian, Y Lu, X Zuo, Y Liu, B Qiao, M Fan, Q Ge, S Fan
Year: 2021
Citations: 29
Title: SWDet: Anchor-based object detector for solid waste detection in aerial images
Authors: L Zhou, X Rao, Y Li, X Zuo, Y Liu, Y Lin, Y Yang
Year: 2022
Citations: 22
Title: Deep metric learning for accurate protein secondary structure prediction
Authors: W Yang, Y Liu, C Xiao
Year: 2022
Citations: 22
Title: Object-oriented and multi-scale target classification and recognition based on hierarchical ensemble learning
Authors: Y Liu, F Zheng
Year: 2017
Citations: 22
Title: Hyperspectral image classification of brain-inspired spiking neural network based on attention mechanism
Authors: Y Liu, K Cao, R Wang, M Tian, Y Xie
Year: 2022
Citations: 21
Title: RepDarkNet: A multi-branched detector for small-target detection in remote sensing images
Authors: L Zhou, C Zheng, H Yan, X Zuo, Y Liu, B Qiao, Y Yang
Year: 2022
Citations: 21
Conclusion
Professor Yang Liu is highly deserving of the Best Researcher Award for his groundbreaking contributions to Quantum Brain and Mind-inspired Computing, which have advanced the fields of computer vision, intelligent healthcare, environmental monitoring, and multimodal data analysis. His extensive research output, patents, and leadership in national-level projects have not only enriched academic knowledge but also delivered practical solutions with societal impact. With his strong foundation in innovation, dedication to mentoring future researchers, and potential to expand global collaborations, he is well-positioned to continue making significant contributions to both scientific advancement and the broader community.