Professor at Zhejiang University, China
Prof. Liu Lei is a Young Profenications, information theory, and signal processing. Liu received his Ph.D. in Communication and Information Systems from Xidian University and enriched his academic foundation as a visiting scholar at NTU Singapore. His postdoctoral and research appointments span SUTD, CityU Hong Kong, and JAIST Japan. Honored under ZJUโs Hundred Talents Program, he actively leads in editorial and conference roles. With a track record of cutting-edge research, Prof. Liu has authored 39+ high-impact journal articles and continues to influence future innovations in modern channel coding and massive MIMO. ๐ง ๐ก
Professional Profileย
๐ Education
Prof. Liu Lei began his academic journey in 2011 at Xidian University, earning his Ph.D. in Communication and Information System in March 2017. During his doctoral studies, he broadened his expertise with a prestigious exchange opportunity at Nanyang Technological University (NTU), Singapore (2014โ2016), where he engaged with globally renowned researchers in the field of Electrical and Electronic Engineering. This international exposure shaped his foundational understanding of statistical signal processing and message-passing algorithms. His academic pursuits combined rigorous theoretical knowledge with practical algorithmic development, laying the groundwork for his future innovations in wireless communication systems and information theory. ๐๐๐
๐ผExperienceย
Prof. Liu Lei has cultivated a rich academic career across leading global institutions. He began as a Postdoctoral Research Fellow at SUTD, Singapore (2016โ2017), followed by a Research Fellow role at City University of Hong Kong (2017โ2019). He then served as Assistant Professor at JAIST, Japan (2019โ2023), achieving top research rankings among faculty. Since 2023, he has been a Tenure-Track Young Professor and Doctoral Supervisor at Zhejiang University. His expertise spans message passing, compressed sensing, and channel coding. Prof. Liu has been active in IEEE conferences, serving in key editorial and chairing roles, and is a notable reviewer for top-tier journals. ๐๐๐ซ
๐ Awards & Honors
Prof. Liu Lei has received several prestigious accolades for his research excellence. In 2023, he was honored with the Young Star Award and the Best Poster Award at the 30th Chinese Institute of Electronics Conference on Information Theory (CIEIT), recognizing his impactful contributions to information theory. His dedication to academic rigor earned him the Exemplary Reviewer Award from IEEE Transactions on Communications in 2020, an honor bestowed on less than 2% of reviewers. These distinctions underscore his leadership in developing cutting-edge algorithms and his commitment to advancing wireless communication systems. ๐ฅ๐๏ธ๐
๐ฌ Research Focusย
Prof. Liuโs research focuses on the development of high-performance algorithms and theoretical frameworks in wireless communications. His interests include Message Passing Theory, Statistical Signal Processing, Compressed Sensing, Modern Channel Coding, and Information Theory. He is especially noted for innovations in Approximate Message Passing (AMP) and Orthogonal AMP (OAMP) algorithms. His work aims to optimize capacity and performance in massive MIMO, NOMA, and RIS-aided systems. Prof. Liu’s vision integrates theoretical depth with engineering applications, contributing to next-generation communication systems with greater efficiency, robustness, and scalability. ๐ก๐๐
๐ ๏ธ Skillsย
Prof. Liu Lei has extensive expertise in ๐ถ wireless communication, particularly in emerging technologies such as massive MIMO, NOMA, mmWave, and Integrated Sensing and Communication (ISAC) systems. His work contributes to optimizing spectral efficiency and network reliability in next-generation wireless networks.
In the field of ๐ signal processing, he is highly skilled in compressed sensing and advanced channel estimation techniques, which enhance data recovery and transmission accuracy in complex environments.
His foundation in ๐ information theory is robust, focusing on coding theory, achievable rates, and capacity optimization, all critical to efficient communication system design.
Prof. Liu is also a specialist in ๐งฎ message passing algorithms, including AMP, OAMP, GAMP, and GVAMP, which he applies to both theoretical models and practical systems.
He leverages ๐ machine learning tools such as neural networks and variational inference to improve signal decoding.
In addition, he is experienced in ๐ academic publishing and ๐งโ๐ซ teaching, mentoring students in both foundational and advanced courses.
๐ Publications Top Noteย
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Iterative Channel Estimation Using LSE and Sparse Message Passing for MmWave MIMO Systems
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๐งโ๐คโ๐ง Authors: C. Huang, L. Liu, C. Yuen, S. Sun
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๐ฐ Journal: IEEE Transactions on Signal Processing
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๐ข Citations: 161
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Year: 2018
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Capacity-Achieving MIMO-NOMA: Iterative LMMSE Detection
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๐งโ๐คโ๐ง Authors: L. Liu, Y. Chi, C. Yuen, Y.L. Guan, Y. Li
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๐ฐ Journal: IEEE Transactions on Signal Processing
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๐ข Citations: 151
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Year: 2019
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User Activity Detection and Channel Estimation for Grant-Free Random Access in LEO Satellite-Enabled IoT
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๐งโ๐คโ๐ง Authors: Z. Zhang, Y. Li, C. Huang, Q. Guo, L. Liu, C. Yuen, Y.L. Guan
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๐ฐ Journal: IEEE Internet of Things Journal
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๐ข Citations: 149
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Year: 2020
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Gaussian Message Passing for Overloaded Massive MIMO-NOMA
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๐งโ๐คโ๐ง Authors: L. Liu, C. Yuen, Y.L. Guan, Y. Li, C. Huang
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๐ฐ Journal: IEEE Transactions on Wireless Communications
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๐ข Citations: 140
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Year: 2019
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Convergence Analysis and Assurance for Gaussian Message Passing in Massive MU-MIMO Systems
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๐งโ๐คโ๐ง Authors: L. Liu, C. Yuen, Y.L. Guan, Y. Li, Y. Su
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๐ฐ Journal: IEEE Transactions on Wireless Communications
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๐ข Citations: 108
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Year: 2016
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Practical MIMO-NOMA: Low Complexity and Capacity-Approaching Solution
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๐งโ๐คโ๐ง Authors: Y. Chi, L. Liu, G. Song, C. Yuen, Y.L. Guan, Y. Li
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๐ฐ Journal: IEEE Transactions on Wireless Communications
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๐ข Citations: 84
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Year: 2018
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Memory AMP
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๐งโ๐คโ๐ง Authors: L. Liu, S. Huang, B.M. Kurkoski
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๐ฐ Journal: IEEE Transactions on Information Theory
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๐ข Citations: 83
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Year: 2022
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Orthogonal AMP for Massive Access in Channels with Spatial and Temporal Correlations
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๐งโ๐คโ๐ง Authors: Y. Cheng, L. Liu, L. Ping
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๐ฐ Journal: IEEE Journal on Selected Areas in Communications
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๐ข Citations: 68
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Year: 2021
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Capacity Optimality of AMP in Coded Systems
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๐งโ๐คโ๐ง Authors: L. Liu, C. Liang, J. Ma, L. Ping
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๐ฐ Journal: IEEE Transactions on Information Theory
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๐ข Citations: 53
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Year: 2021
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On Orthogonal AMP in Coded Linear Vector Systems
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๐งโ๐คโ๐ง Authors: J. Ma, L. Liu, X. Yuan, L. Ping
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๐ฐ Journal: IEEE Transactions on Wireless Communications
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๐ข Citations: 39
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Year: 2019
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A New Insight into GAMP and AMP
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๐งโ๐คโ๐ง Authors: L. Liu, Y. Li, C. Huang, C. Yuen, Y.L. Guan
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๐ฐ Journal: IEEE Transactions on Vehicular Technology
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๐ข Citations: 31
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Year: 2019
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Over-the-Air Implementation of Uplink NOMA
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๐งโ๐คโ๐ง Authors: S. Abeywickrama, L. Liu, Y.C. Yuhao, Chi
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๐ฐ Conference: IEEE Globecom
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๐ข Citations: 31
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Year: 2018
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Asymptotically Optimal Estimation for Sparse Signal with Arbitrary Distributions
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๐งโ๐คโ๐ง Authors: C. Huang, L. Liu, C. Yuen
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๐ฐ Journal: IEEE Transactions on Vehicular Technology
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๐ข Citations: 28
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Year: 2018
๐ Conclusion
Dr. Lei Liu exemplifies the qualities of a Best Researcher Award recipient: depth in theoretical research, breadth in global experience, and excellence in teaching and mentorship. His leadership roles, prolific output, and rising trajectory within academic and engineering communities make him a model scholar in the communications field. While areas like applied innovation and interdisciplinary expansion offer room for growth, his current achievements already place him at the forefront of his domain.