研究方向

围绕信息安全、智慧网络与可信智能开展研究。

信息安全与隐私保护

核心问题

网络入侵检测、加密流量分类、隐私保护与可问责架构

方法与工具

深度学习、对比学习、差分隐私、区块链

代表成果

  • APCN: A Scalable Architecture for Balancing Accountability and Privacy in Large-Scale Content-Based Networks
  • Encrypted traffic classification based on Gaussian mixture models and Hidden Markov Models
  • ICloud: An Intrusion Detection and Dynamic Defense Mechanism for Cloud Environments

智慧网络与资源调度

核心问题

自适应路由架构、GPU 共享调度、网络异常预测

方法与工具

意图驱动网络、强化学习、负载均衡

代表成果

  • Fragmentation-Aware and Efficiency-oriented Scheduling for GPU Sharing Workloads
  • UINT: An Intent-based Adaptive Routing Architecture
  • Deep reinforcement learning for blockchain in industrial IoT

可信智能与多模态计算

核心问题

视觉-语言语义对齐、大模型安全评估

方法与工具

多模态融合、多智能体强化学习、大模型微调

代表成果

  • Dynamic Alignment of Visual and Language Semantics for Referring Video Object Segmentation
  • Global-aware attention network for multi-modal sarcasm detection