BIMSA > Miao He
Assistant Professor Miao He

Group: Artificial Intelligence and Machine Learning

Office: A15-301

Email: miaohe@bimsa.cn

Research Field: Data Sciences

Education Experience

  • -      Tsinghua University      Data Science and Information Technology      Ph.D

Publication

  • [1] Jiang, W., Han, H., Zhang, Y., Wang, J.A., He, M., Gu, W., Mu, J. and Cheng, X., Graph Neural Networks for Routing Optimization: Challenges and Opportunities. , Sustainability (2024)
  • [2] Jiang, W., Han, H., He, M. and Gu, W., Network Simulation Tools for UAV Communications: A Survey, International Journal of Communication Systems (2024)
  • [3] Miao He, Weiwei Jiang, and Weixi Gu, TriChronoNet: Advancing electricity price prediction with Multi-module fusion, Applied Energy, 371(2024), 123626
  • [4] Jiang, W., Han, H., He, M. and Gu, W., When game theory meets satellite communication networks: A survey, Computer Communications (2024)
  • [5] Miao He, and Xiaoming Zhang, Affinity, value homophily, and opinion dynamics: The coevolution between affinity and opinion, PLoS ONE, 18(2023), 11, e0294757
  • [6] Weiwei Jiang, Haoyu Han, Miao He, and Weixi Gu, ML-based pre-deployment SDN performance prediction with neural network boosting regression, Expert Systems With Applications, 241(2023), 122774
  • [7] Shang Liu, Miao He, Zhiqiang Wu, Peng Lu, and Weixi Gu, Spatial–temporal graph neural network traffic prediction based load balancing with reinforcement learning in cellular networks, Information Fusion, 103(2023), 102079
  • [8] Miao He, Weiwei Jiang, and Weixi Gu, Making Wines Smarter: Evidence from an Interpretable Learning Paradigm, 2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). IEEE(2023), 60-65
  • [9] Liu J, Jiang W, Han H, He M, Gu W, Drought level prediction based on meteorological data and deep learning, IEEE SECON 2023(2023)
  • [10] Liu J, Jiang W, Han H, He M, Gu W, Satellite Internet of Things for Smart Agriculture Applications: A Case Study of Computer Vision, IEEE SECON 2023(2023)
  • [11] Jiang W, Han H, He M, Gu W, Machine Learning-based Multi-Class Traffic Management for Smart Grid Communication Network, Ubicomp 2023 (2023)
  • [12] Jiang W, Han H, Zhang Y, He M, Gu W, Matching Games in Satellite-Terrestrial Integrated Networks: Who to Match and How to Match?, ICCIP 2023 (2023)
  • [13] Jiang W, Han H, Zhang Y, Li X, He M, Gu W, Rise of Community-driven Communication Network Research, ICCIP 2023 (2023)
  • [14] Weiwei Jiang, Miao He, and Weixi Gu, Internet traffic prediction with distributed multi-agent learning, Applied system innovation, 5(2022), 121
  • [15] Jiang W, Luo J, He M, Gu W, Graph Neural Network for Traffic Forecasting: The Research Progress, ISPRS(2023)
  • [16] He M, Zhang X, Affinity, Value Homophily, and Opinion Dynamics, Journal of Intelligence, will submit soon within one month
  • [17] The Rise of Community-driven Communication Network Research
  • [18] Jiang W, Han H, He M, Gu W.Graph Neural Networks for Routing Optimization: A Survey, Expert Systems With Applications, under review
  • [19] Miao He, Weixi Gu, Ying Kong, Lin Zhang, and Costas J. Spanos, CausalBG: Causal recurrent neural network for the blood glucose inference with IoT platform, IEEE Internet of Things Journal, 7(2019), 1, 598-610

 

Update Time: 2025-05-20 15:34:26