张凌豪Linghao Zhang
EN

张凌豪

zhanglinghao@njupt.edu.cnzhanglinghao@u.nus.eduzlhad.topgithub.com/ZLHad

简介

我是南京邮电大学通信与信息系统专业博士研究生，导师为赵海涛教授；2023 年在南京邮电大学获电子信息工程专业工学学士学位。2026 年 8 月起，在新加坡国立大学张瑞教授（新加坡工程院院士、IEEE Fellow）课题组联合培养。研究面向智能连接、承载智能业务的空天地一体化网络，近期聚焦面向大模型推理的通信。

教育背景

  1. 2026.08 — 2027.07新加坡国立大学. 联合培养博士研究生. 合作导师：张瑞教授，新加坡工程院院士、IEEE Fellow.
  2. 2023.09 — 2028.06 (expected)南京邮电大学. 博士研究生，通信与信息系统. 导师：赵海涛教授.
  3. 2019.09 — 2023.06南京邮电大学. 工学学士，电子信息工程.

已发表论文

  1. Linghao Zhang, Bo Xu, Haitao Zhao, Jinlong Sun, Jun Xiong, Xianbin Wang, “Token-Aware QoE Optimization for Multimodal AIGC Inference Tasks in Space-Air-Ground Integrated Networks”, IEEE Transactions on Mobile Computing, pp. 1–18, 2026, doi: 10.1109/TMC.2026.3743972.
  2. 张凌豪, 徐波, 孙金龙, 赖海光, 赵海涛, “任务预测增强的空天地一体化网络分层卸载方法”, 电子与信息学报, 2026, doi: 10.11999/JEIT260217.
  3. Linghao Zhang, Haitao Zhao, Bo Xu, Hongbo Zhu, Xianbin Wang, “Agentic AI for SAGIN Resource Management: Semantic Awareness, Orchestration, and Optimization”, IEEE Network, pp. 1–8, 2026, doi: 10.1109/MNET.2026.3695611.
  4. Linghao Zhang, Bo Xu, Haitao Zhao, Suyao Huang, Qin Wang, Hongbo Zhu, “Task-Prediction-Augmented Multi-Agent Collaborative Offloading in Space-Air-Ground Integrated Network”, IEEE Transactions on Vehicular Technology, vol. 75, no. 8, pp. 18175–18191, 2026, doi: 10.1109/TVT.2026.3676287.
  5. Bo Xu, Suyao Huang, Yukai Xu, Mengru Wu, Linghao Zhang, Jinlong Sun, Haitao Zhao, “Joint Task Offloading and Trajectory Optimization for Cooperative Multi-Branch DNN Inference in CR-SAGIN-Enhanced IoV”, IEEE Transactions on Vehicular Technology, pp. 1–16, 2026, doi: 10.1109/TVT.2026.3730653.
  6. Haitao Zhao, Xiaoyu Tang, Bo Xu, Jinlong Sun, Linghao Zhang, “Convergence Analysis and Resource Allocation for Hierarchical Split Federated Learning Over Space-Air-Ground Integrated Networks”, IEEE Signal Processing Letters, vol. 33, pp. 1571–1575, 2026, doi: 10.1109/LSP.2026.3682189.
  7. Haitao Zhao, Suyao Huang, Bo Xu, Linghao Zhang, Mengru Wu, Jinlong Sun, “Hastening Co-Inference in Space-Air-Ground Integrated Networks: A Submodular Optimization Based Task Offloading Approach”, IEEE Transactions on Vehicular Technology, vol. 75, no. 9, pp. 20912–20925, 2026, doi: 10.1109/TVT.2026.3681626.
  8. Suyao Huang, Bo Xu, Guijin Tang, Haotong Cao, Linghao Zhang, Haitao Zhao, “Submodular Optimization Based Co-Inference in Space-Air-Ground Integrated Vehicular Networks”, 2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pp. 1–6, 2025, doi: 10.1109/PIMRC62392.2025.11275599.
  9. Hongqi Sun, Haitao Zhao, Bo Xu, Jinlong Sun, Linghao Zhang, “D2D-Assisted High-Reliability Wireless Federated Learning for Industrial Internet of Things”, 2025 IEEE/CIC International Conference on Communications in China (ICCC), pp. 1–6, 2025, doi: 10.1109/ICCC65529.2025.11148909.
  10. 徐煜凯, 徐波, 张凌豪, 王琴, 赵海涛, “基于图学习的空天地一体化网络合作推理方法研究”, 物联网学报, 2025.
  11. Bo Xu, Haitao Zhao, Haotong Cao, Chun Zhu, Jinlong Sun, Linghao Zhang, Hongbo Zhu, “Mobility-Aware Task Offloading in Industrial Fog Networks: A Submodular-Based MARL Approach”, IEEE Internet of Things Journal, vol. 12, no. 8, pp. 10795–10807, 2025, doi: 10.1109/JIOT.2024.3514095.

预印本

  1. Linghao Zhang, “Nurture-First Agent Development: Building Domain-Expert AI Agents Through Conversational Knowledge Crystallization”, arXiv 预印本, 2026.

专利

  1. 一种嵌入式通讯微波隔离器, CN114786396B. 已授权, 2022; 发明人 1/2.
  2. 一种便携式矢量数字基带调制射频信号源, CN217037207U. 已授权, 2022; 发明人 3/3.
  3. 基于图神经网络的空天地网络流量卸载决策方法及系统, CN118972900B. 已授权, 2025; 发明人 4/7.
  4. 一种空天地一体化网络中抗干扰的无人机去蜂窝边缘计算资源分配方法, CN121568169A. 公开, 2026; 发明人 2/8.
  5. 基于SAM模型的铁路轨道入侵数据标注和增强训练方法, CN118379615A. 公开, 2024; 发明人 2/9.
  6. 一种基于离散图结构的交通流预测模型方法, CN118470972A. 公开, 2024; 发明人 3/5.
  7. 一种面向空天地一体化网络的低时延高性能联邦学习方法, CN120499851A. 公开, 2025; 发明人 6/7.
  8. 一种面向智慧城市的去中心化联邦神经网络模型高可靠部署方法, CN121390203A. 公开, 2026; 发明人 6/7.

获奖

  1. 全国金奖, 中国国际大学生创新大赛, 2024.

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