Guangyi Liu | Optimization Techniques | Best Innovation Award

Dr. Guangyi Liu | Optimization Techniques | Best Innovation Award

China Mobile Research Institute, China

Author Profile

Google Scholar

Early Academic Pursuits 📚

Dr. Guangyi Liu began his academic journey with a strong foundation in telecommunications and wireless technology. His passion for advanced communication systems led him to pursue higher education and research in the field. He earned a deep understanding of network engineering, which provided the base for his later contributions to 4G, 5G, and 6G technologies. His early academic pursuits were instrumental in shaping his expertise in the future of mobile communications, laying the groundwork for his later professional endeavors and contributions to global standardization.

Professional Endeavors đź’Ľ

Dr. Liu’s professional journey spans over two decades, during which he has held key leadership roles in China Mobile Communication Corporation (CMCC). Since 2018, he has been spearheading the 6G research and development efforts for CMCC, demonstrating his commitment to the next generation of wireless technology. He has also contributed significantly to the global telecommunications industry, as evident from his roles as the co-chair of the 6G Alliance of Network AI (6GANA), a board member of the Next Generation Mobile Networks (NGMN) alliance, and vice chair of the THz Industry Alliance in China. His expertise in leading large-scale industrialization projects, particularly in 4G and 5G technologies, has had a profound impact on the wireless technology landscape.

Contributions and Research Focus 🔬

Dr. Liu’s contributions to telecommunications are wide-ranging, from research and standardization to industrialization and commercialization of advanced mobile technologies. His primary research focus includes 6G network development, spectrum management, wireless communication systems, and AI integration into mobile networks. Dr. Liu’s work in the evolution of TD-LTE and the industrialization of 5G technologies has been particularly groundbreaking. Under his leadership, CMCC has made significant strides in the global standardization of 5G eMBB and the global adoption of TD-LTE. His contributions have influenced the development of cutting-edge technologies that are shaping the future of communication.

Impact and Influence 🌍

Dr. Liu’s impact on the telecommunications sector is immense. He has played a pivotal role in the research, standardization, and global deployment of critical mobile communication technologies. His leadership in the industrialization of 4G, 5G, and now 6G has not only advanced technology but also driven global collaborations between telecommunications companies, governments, and standardization bodies. As a key figure in the global 6G initiative, his work continues to influence the strategic direction of mobile communication technologies, ensuring the future of connectivity is faster, more efficient, and seamlessly integrated with artificial intelligence.

Academic Citations đź“‘

With over 200 published papers and more than 500 patents, Dr. Liu is a highly respected thought leader in the field of telecommunications. His research contributions have been widely cited by academics, engineers, and industry leaders, highlighting the significant impact of his work on both theoretical advancements and practical applications in mobile networks. His technical expertise and pioneering research continue to be a valuable resource for those studying and developing the next generation of communication technologies.

Technical Skills 🛠️

Dr. Liu’s technical expertise spans a broad array of fields, including wireless communications, mobile network architecture, spectrum management, and advanced technologies such as AI and THz communication. His deep knowledge of network standardization, along with his hands-on experience in the implementation of mobile technologies, has made him an industry leader. His skills in driving large-scale R&D projects and influencing global mobile network strategies have positioned him as a trusted expert in the field of next-generation wireless technologies.

Teaching Experience 👨‍🏫

his professional contributions, Dr. Liu has also shared his knowledge and expertise with the next generation of engineers and researchers. Although not primarily an academic educator, his involvement in industry collaborations and standardization working groups has provided a platform for him to mentor and guide numerous professionals in the field. Through his leadership roles in various international organizations, he has contributed to the growth and development of future experts in wireless communications.

Legacy and Future Contributions 🌟

Dr. Liu’s legacy in the telecommunications industry is defined by his relentless pursuit of innovation and excellence. His work on 6G is positioning him as a key figure in shaping the next frontier of communication technology. As he continues to lead the research and development of 6G at CMCC, his contributions will likely serve as a cornerstone for the future of wireless connectivity. Dr. Liu’s ongoing commitment to pushing the boundaries of technology and his dedication to industry collaboration will ensure that his influence on the telecommunications sector will continue for years to come.

Honors and Recognition 🏆

Dr. Liu’s contributions have not gone unnoticed, as he has received numerous accolades, including the prestigious “National Innovation Award in Science and Technology” from the Chinese government in 2016 for his global contributions to TD-LTE standardization and industrialization. Additionally, he has earned multiple “Excellent Patent Awards” from the Chinese Intellectual Property Office in 2009, 2013, and 2017, further acknowledging his groundbreaking innovations. These honors reflect the profound impact of his work on both the Chinese and global telecommunications industries.

Top Noted Publications đź“–

5G 3GPP-like channel models for outdoor urban microcellular and macrocellular environments

Authors: K. Haneda, J. Zhang, L. Tan, G. Liu, Y. Zheng, H. Asplund, J. Li, Y. Wang, …

Journal: IEEE 83rd Vehicular Technology Conference (VTC Spring)

Year: 2016

Vision, requirements and network architecture of 6G mobile network beyond 2030

Authors: G. Liu, Y. Huang, N. Li, J. Dong, J. Jin, Q. Wang, N. Li

Journal: China Communications

Year: 2020

LTE-advanced: an operator perspective

Authors: P. Bhat, S. Nagata, L. Campoy, I. Berberana, T. Derham, G. Liu, X. Shen, …

Journal: IEEE Communications Magazine

Year: 2012

5G: Vision and requirements for mobile communication system towards year 2020

Authors: G. Liu, D. Jiang

Journal: Chinese Journal of Engineering

Year: 2016

Communicating in the real world: 3D MIMO

Authors: X. Cheng, B. Yu, L. Yang, J. Zhang, G. Liu, Y. Wu, L. Wan

Journal: IEEE Wireless Communications

Year: 2014

Three-dimensional fading channel models: A survey of elevation angle research

Authors: J. Zhang, C. Pan, F. Pei, G. Liu, X. Cheng

Journal: IEEE Communications Magazine

Year: 2014

5G deployment: Standalone vs. non-standalone from the operator perspective

Authors: G. Liu, Y. Huang, Z. Chen, L. Liu, Q. Wang, N. Li

Journal: IEEE Communications Magazine

Year: 2020

Yanjie Zhu | Algorithm Development | Best Researcher Award

Prof. Yanjie Zhu | Algorithm Development | Best Researcher Award

Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China

👨‍🎓Professional Profiles

🔬 Summary

Prof. Yanjie Zhu is a renowned expert in fast magnetic resonance imaging (MRI) and its applications in medical diagnostics. He specializes in developing innovative imaging techniques through machine learning, deep learning, and model-driven methods. As a Professor at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, he leads cutting-edge research projects focused on cardiovascular imaging, brain health, and intelligent diagnostic tools.

🎓 Education

Prof. Zhu earned his Ph.D. in Circuits and Systems from the Shanghai Institute of Technical Physics, Chinese Academy of Sciences, China (2006-2011). He also holds a B.S. in Electronic Engineering and Information Science from the University of Science and Technology of China, Hefei (2002-2006).

🏫 Professional Experience

Prof. Zhu has a distinguished academic career at the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, where he progressed from Assistant Professor (2011-2015) to Associate Professor (2015-2020), and is currently a Professor (2020-present). Additionally, he served as a Visiting Scholar (2017-2018) at Harvard Medical School and Beth Israel Deaconess Medical Center, Boston, MA, under the guidance of Reza Nezafat.

📚 Academic Contributions

Prof. Zhu has published several impactful papers in the field of MRI and medical imaging. Notable works include:

  • “Online reconstruction of fast dynamic MR imaging using deep low-rank plus sparse network,” IEEE CBMS, 2022.
  • “k-space based reconstruction method for wave encoded bSSFP sequence,” CECIT, 2021.
  • “Quantification of pectinate muscles inside left atrial appendage from CT images using fractal analysis,” ICMIPE, 2021.
  • Myocardial Edema Imaging – A Comparison of Three Techniques, ISMRM 2018 (Power Pitch, Magna Cum Laude Merit Award).

🔍 Research Interests

Prof. Zhu’s research interests revolve around model-driven fast MRI techniques, generative model-based adaptive MRI methods, and diffusion tensor and edema imaging for myocardial and brain tissue. He is also focused on intelligent diagnosis for the early detection of stroke-related plaques and other cardiovascular conditions.

đź’» Technical Skills

Prof. Zhu is highly skilled in MRI imaging techniques, including fast MRI, cardiac MRI, and brain MRI. He also excels in deep learning and AI-based image reconstruction methods, along with proficiency in medical imaging software and model-driven approaches. His expertise in data analysis and computational methods has contributed to advancing medical applications.

👨‍🏫 Teaching Experience

Throughout his career, Prof. Zhu has mentored and taught graduate students and professionals in the fields of MRI technology, medical imaging, and computational healthcare methods. His research-driven approach has helped develop comprehensive educational materials that support the training of professionals in advanced imaging systems.

đź“–Top Noted Publications

RS-MOCO: A deep learning-based topology-preserving image registration method for cardiac T1 mapping

Authors: Chiyi Huang, Longwei Sun, Dong Liang, Haifeng Liang, Hongwu Zeng, Yanjie Zhu
Journal: Computers in Biology and Medicine
Year: 2024

High-Frequency Space Diffusion Model for Accelerated MRI

Authors: Chentao Cao, Zhuo-Xu Cui, Yue Wang, Shaonan Liu, Taijin Chen, Hairong Zheng, Dong Liang, Yanjie Zhu
Journal: IEEE Transactions on Medical Imaging
Year: 2024

SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI

Authors: Zhuo-Xu Cui, Chentao Cao, Yue Wang, Sen Jia, Jing Cheng, Xin Liu, Hairong Zheng, Dong Liang, Yanjie Zhu
Journal: IEEE Transactions on Medical Imaging
Year: 2024

A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor Detection

Authors: Wenxin Wang, Zhuo-Xu Cui, Guanxun Cheng, Chentao Cao, Xi Xu, Ziwei Liu, Haifeng Wang, Yulong Qi, Dong Liang, Yanjie Zhu
Journal: IEEE Journal of Biomedical and Health Informatics
Year: 2024

High efficiency free-breathing 3D thoracic aorta vessel wall imaging using self-gating image reconstruction

Authors: Caiyun Shi, Congcong Liu, Shi Su, Haifeng Wang, Xin Liu, Hairong Zheng, Dong Liang, Yanjie Zhu
Journal: Magnetic Resonance Imaging
Year: 2024

Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging

Authors: Yanjie Zhu, Jing Cheng, Zhuo-Xu Cui, et.al.
Journal: IEEE Signal Processing Magazine
Year: 2023