AI-Driven 6G Wireless Intelligent Air Interface Transmission Technology
Project Source: Ministry of Science and Technology
Project Duration: October 2022 – October 2025
Research Objective: Address the complex network environment of 6G by studying an efficient and ordered wireless access system based on network-native intelligence.
Theoretical Research, Architecture, and Methods for Native Green Communication Networking with Sensing-Communication-Computing Integration
Project Source: Ministry of Science and Technology
Project Duration: October 2022 – October 2026
Research Objective: Reveal the energy consumption evolution laws of networking architectures and methods; study native green network architectures and intelligent and simplified resource scheduling technologies to achieve low-energy intelligent matching of energy, sensing-communication-computing resources, and personalized services.
Basic Theoretical Research on Low-Energy Personalized Federated Learning in Future Mobile Communication Systems
Project Source: Anhui Provincial Natural Science Foundation
Project Duration: January 2022 – December 2024
Research Objective: Design low-energy federated learning schemes to reduce system communication power consumption; develop personalized federated learning schemes to alleviate user data heterogeneity issues.
Theoretical Research on New Federated Learning for Human-Computer-Things Integration
Project Source: University of Science and Technology of China
Project Duration: January 2022 – December 2024
Research Objective: Study centerless federated learning theory based on dynamic consensus averaging; investigate user grouping federated learning theory with low network overhead.
OPC Intelligent Optimization
Project Source: CXMT (CX Storage)
Project Duration: June 2022 – June 2024
Research Objective: Use machine learning methods to analyze SEM images generated during integrated circuit R&D and production, extract key process information such as contours and semantics, and improve production yield.
Huawei Wireless Enablement
Project Source: Huawei Technologies
Project Duration: July 2022 – July 2023
Research Objective: Propose enablement coefficients based on energy-saving capabilities across industries, and complete verification and analysis; use big data statistical analysis methods to evaluate enablement coefficients for several key industries and conduct distributed carbon reduction 总量 (total volume) assessments that protect data privacy across parties.