Research Center
Center for Network System Optimization
The Center for Network System Optimization is dedicated to the research and development of the new generation of intelligent information networks, intelligent sensing networks, and intelligent energy networks. The research center has successively undertaken innovative projects established by government agencies or units such as the Ministry of Science and Technology of the People's Republic of China, the National Natural Science Foundation of China, the Department of Science and Technology of Guangdong Province, the Guangdong Basic and Applied Basic Research Foundation Committee, and the Shenzhen Science and Technology Innovation Committee. At the same time, it is a research and development partner of leading enterprises in the industry represented by Huawei Technologies Co., Ltd., China Electronics Technology Group, and China Mobile. The research center has established extensive and in-depth cooperative relationships with multiple universities, enterprises, and public institutions at home and abroad, attracting global talents to participate in various works of the research center. It has played an important role in promoting the achievement output and talent cultivation of the Shenzhen Research Institute of Big Data, and continuously contributes to further promoting the digital and intelligent construction of Shenzhen, the Guangdong-Hong Kong-Macao Greater Bay Area, and the whole country.
Our Team
Center for Network System Optimization currently brings together a team of high-level talent, including 2 academicians, 3 IEEE Fellows, and 16 overseas-returned PhDs. Since its establishment, the center has undertaken over 40 national, provincial, and ministry-level projects, including national key R&D and Guangdong flagship projects, and has formed partnerships with leading enterprises and institutions like Huawei, China Mobile, and the China Academy of Information and Communications Technology. Together, they have also undertaken over 40 joint projects. Additionally, the center has applied for over 200 patents and published more than 250 papers in relevant fields. Team members have received numerous domestic and international awards, including Huawei's Innovation and Technological Breakthrough Award and the Outstanding Technical Cooperation Project Award, the CSIAM Applied Mathematics Implementation Award, the 2022 IEEE Signal Processing Society Best Paper Award, the 2023 IEEE Communications Society Asia-Pacific Outstanding Young Researcher Award and Best Paper Award, the 2023 Zhejiang Provincial Natural Science Second Prize, and the First Prize in the Public Safety Track of the 5th "Bloom Cup" 5G Application Competition.
Key Research
Focusing on the national demand for optimizing communication and computing network infrastructure, and addressing the lack of advanced mathematical modeling and solution methods in the field of large-scale network optimization, this project leverages big data analysis, artificial intelligence, and operations optimization technologies to develop a unified framework and technical system for information network optimization algorithms. This will provide core support for the next generation of integrated communication-computation-sensing network optimization. Centered on the data-driven real-world network statistical simulation framework SRCON pioneered by Academician Luo Zhiquan's team, we aim to establish network performance modeling methods guided by physical mechanisms and driven by measured data. This includes proposing a large-scale network parameter tuning algorithm that integrates zeroth-order and distributed optimization. This approach revolutionizes traditional network optimization, which has relied on manual expertise and iterative trial and error, significantly enhancing network optimization efficiency and supporting the realization of intelligent autonomy for information networks.
Focusing on the demands and application scenarios of low-altitude sensing, this project leverages distributed signal processing and artificial intelligence technologies to develop a distributed low-altitude sensing prototype system and products. Common technologies driven by market demand will be iteratively updated, empowering the ongoing development of this industry in Shenzhen. Key technologies can be applied to areas including low-altitude sensing and national defense, thus supporting and enabling Shenzhen-based enterprises involved in low-altitude sensing.
Focusing on major standardized applications in sectors such as rail transit, high-energy-consuming factories, and power in the energy field, this project leverages operations research and artificial intelligence technologies. Starting from the perspective of adjustable loads and closely integrating with engineering practice, it follows the approach of "offline optimal planning - real-time re-optimization - rapid emergency recovery - full-system simulation" to develop specialized optimization solvers for the energy sector.
