TopoIntent: Secure Intent-Driven Network Topology Generation
Developed an LLM-based framework for generating and validating security-aware network topologies.
Developed an LLM-based framework for generating and validating security-aware network topologies.
Led the design of a technical solution for secure multi-party collaboration and privacy protection in trusted energy data spaces.
Developed multimodal fusion algorithms to improve human action and facial-expression recognition; led technical documentation and project reporting.
Reproduced and tested algorithms for group-level analysis in social networks and supported third-party testing.
Contributed to algorithm reproduction, dataset collection, and internal testing for a complex-network computing platform.
Supported data collection and analysis, technical documentation, and project reporting for data-driven talent assessment.
Funded by the China Internet Development Foundation and Topsec Technologies Group Inc.
Grant amount: RMB 60,000 (USD 9,000)