BIMSA > Miao He
Assistant Professor Miao He

Group: Artificial Intelligence and Machine Learning

Office: A15-301

Email: miaohe@bimsa.cn

Research Field: Data Sciences

CV

Education Experience

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

Publication

  • [1] Haihua XIE, Yinzhu CHENG, Yaqing WANG, Miao HE, Mingming SUN, RD-MCSA: A Multi-Class Sentiment Analysis Approach Integrating In-Context Classification Rationales and Demonstrations, The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) (2025)
  • [2] Haihua Xie, Miao He, Tracking Fine-Grained Public Opinions: Two Datasets from Online Discourse on Trending Topics, Mathematics (2025)
  • [3] Haihua Xie, Miao He, Stance Detection on Macro Topics in Social Discussions Via Multi-Factor Aggregation Analysis, 2025 International Joint Conference on Neural Networks (IJCNN 2025) (2025)
  • [4] Weiwei Jiang, Jianbin Mu, Miao He, Weixi Gu, Xirong Cheng, Ahmad Taher Azar and Chakib Ben Njima, Bankruptcy Prediction with Imbalanced Data and Conditional Generative Adversarial Networks, 2025 International Conference on Control, Automation and Diagnosis (ICCAD) (2025)
  • [5] 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)
  • [6] Jiang, W., Han, H., He, M. and Gu, W., Network Simulation Tools for UAV Communications: A Survey, International Journal of Communication Systems (2024)
  • [7] Miao He, Weiwei Jiang, and Weixi Gu, TriChronoNet: Advancing electricity price prediction with Multi-module fusion, Applied Energy, 371(2024), 123626
  • [8] Jiang, W., Han, H., He, M. and Gu, W., When game theory meets satellite communication networks: A survey, Computer Communications (2024)
  • [9] Miao He, and Xiaoming Zhang, Affinity, value homophily, and opinion dynamics: The coevolution between affinity and opinion, PLoS ONE, 18(2023), 11, e0294757
  • [10] 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
  • [11] 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
  • [12] 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
  • [13] Jiang W, Han H, He M, Gu W, Machine Learning-based Multi-Class Traffic Management for Smart Grid Communication Network, Ubicomp 2023 (2023)
  • [14] 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)
  • [15] Jiang W, Han H, Zhang Y, Li X, He M, Gu W, Rise of Community-driven Communication Network Research, ICCIP 2023 (2023)
  • [16] Liu J, Jiang W, Han H, He M, Gu W, Drought level prediction based on meteorological data and deep learning, IEEE SECON 2023(2023)
  • [17] 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)
  • [18] Weiwei Jiang, Miao He, and Weixi Gu, Internet traffic prediction with distributed multi-agent learning, Applied system innovation, 5(2022), 121
  • [19] Jiang W, Luo J, He M, Gu W, Graph Neural Network for Traffic Forecasting: The Research Progress, ISPRS(2023)
  • [20] He M, Zhang X,, Affinity, Value Homophily, and Opinion Dynamics, Journal of Intelligence (2022)
  • [21] The Rise of Community-driven Communication Network Research
  • [22] Wen Jiang,Hui Han,Ming He,Wen Gu, Graph Neural Networks for Routing Optimization: A Survey, Expert Systems With Applications (2022)
  • [23] 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: 2026-03-10 10:00:11