科研项目

  1. 企业项目，基于类脑在线持续学习的端侧大模型部署优化，在研，主持
  2. 企业项目，基于安全联邦学习的电力大数据价值增益研究，在研，主持
  3. 科技部重点研发计划，2017YFB1010004，高效能数据中心调度与精确能源管理，在研，子课题负责人
  4. 中国博士后科学基金面上项目，深度学习驱动的端边云协同智能计算研究，在研，主持
  5. 工信部2018年工业互联网创新发展工程项目，面向航空发动机先进制造的边缘计算理论与集成应用， 在研，子课题负责人
  6. 国家自然科学基金青年科学基金项目，61502381，软件定义Mesh接入网中带宽敏感数据的传输策略研究，在研，主持
  7. 中国博士后科学基金面上一等资助项目，2015M570836，软件定义无线Mesh网络中带宽感知的机会转发策略研究，已结题，主持
  8. 国家自然科学基金面上项目，61572398，智能感知系统中针对数据汇聚的隐私保护机制研究，在研，参与
  9. 中央高校基本科研业务费国际前沿与自主创新类项目, xjj2015065, 已结题，主持
  10. 西安交通大学“新教师科研支持计划”，XJTU-HRT-002，已结题，主持
  11. 国家自然科学基金面上项目，61373115，智能电网中针对“互动”用电信息的假数据注入攻击危害分析及防御策略研究，已结题，参与
  12. 国家高技术研究发展计划（863计划），2006AA01Z210，多类点Ad Hoc 网络路由协议的关键技术研究与实现，已结题，参与

 

代表性论文

  1. Nan Qi, Peng Zhao, Guiqin Wang, Cong Zhao, Shusen Yang, “Independent Block-Wise Attribution for Vision Transformer Interpretability through Semantic Relevance”, IEEE Transactions on Multimedia, 2025.
  2. Yanlin Jiang, Peng Zhao, Cong Zhao, Jie Lin, “Towards bandwidth efficient edge-cloud collaborative deep learning with Data Importance driven Compression”, Neurocomputing, 2025. 
  3. Xin An, Peng Zhao, Guiqin Wang, Cong Zhao, Shusen Yang, “Transformer feature collapse of Temporal Action Detection via Multi-granularity Semantic Enhancement”, Neurocomputing, 2025.
  4. Guiqin Wang, Peng Zhao, Yanjiang Shi, Cong Zhao, Shusen Yang, “Generative Model-based Feature Knowledge Distillation for Action Recognition”, AAAI Conference on Artificial Intelligence 2024 (AAAI 2024), 2024.
  5. Guiqin Wang, Peng Zhao, Cong Zhao, Shusen Yang, Jie Cheng, Luziwei Leng, Jianxing Liao, and Qinghai Guo, “Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling”, International Conference on Computer Vision 2023 (ICCV 2023), Paris, France. October 2-3, 2023.
  6. Jing Huang, Peng Zhao, Guiqin Wang, Shusen Yang, and Jie Lin, “Self-attention-based long temporal sequence modeling method for temporal action detection”, Neurocomputing, Vol 554, 2023. 
  7. Peng Zhao, Wei Yu, Xinyu Yang, Duolun Meng, Li Wang, Shusen Yang, and Jie Lin, “Context-aware Multi-criteria Handover at the Software Defined Network Edge for Service Differentiation in Next Generation Wireless Networks”, IEEE Transactions Services Computing, 15(4): 2032 – 2046, 2022.
  8. Yuanrui Dong, Peng Zhao, Hanqiao Yu, Cong Zhao, and Shusen Yang, “CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning”, 2020 International Joint Conference on Artificial Intelligence (IJCAI 2020), Yokohama, Japan, July 11-17, 2020.
  9. Peng Zhao, Shusen Yang, Xinyu Yang, Wei Yu, and Jie Lin, “Energy-efficient Analytics for Geographically Distributed Big Data”, IEEE Internet Computing, vol.23, no. 3, pp. 18-29, Jun. 2019.
  10. Peng Zhao, Wei Yu, Xinyu Yang, Duolun Meng, and Li Wang, “Buffer Data-Driven Adaptation of Mobile Video Streaming over Heterogeneous Wireless Networks”, IEEE Internet of Things Journal, vol.5, no.5, pp.3430-3441, Otc. 2018.
  11. Xinyu Yang, Peng Zhao, Xialei Zhang, Jie Lin, and Wei Yu, “Toward a Gaussian-Mixture Model-Based Detection Scheme Against Data Integrity Attacks in the Smart Grid”, IEEE Internet of Things Journal, vol. 4, no. 1, pp. 147-161, Feb. 2017.
  12. Wenfeng Xia, Peng Zhao, Yonggang Wen, Haiyong Xie, “A Survey on Data Center Networking (DCN): Infrastructure and Operations”, IEEE Communications Surveys & Tutorials, Volume: 19, Issue: 1, pp: 640-656, 2017.
  13. Peng Zhao, Xinyu Yang, Wei Yu, and Xinwen Fu. “A Loose-Virtual-Clustering-Based Routing for Power Heterogeneous MANETs,” IEEE Transactions on Vehicular Technology (TVT), Volume: 62, Issue: 5, pp: 2290 - 2302, Jun. 2013.
  14. Peng Zhao, Xinyu Yang, Jiayin Wang, Benyuan Liu, and Jie Wang. “BOR/AC: Bandwidth-aware Opportunistic Routing with Admission Control in Wireless Mesh Networks,” the 31st IEEE International Conference on Computer Communications (IEEE INFOCOM’12), 25-30 March 2012, Orlando, FL, pp: 2701 - 2705.