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.