Wenhao Jiang

Wenhao Jiang

CV

Education

Work experience

Publications

  1. Jiang, W., Liu, Q., Wang, K., Ding, S., Bo, H., Xu, C., …, Zhao, T., & Li, H. (2024). Multimodal Brain Signal Analysis with State-Space Modeling: A Study on Working Memory. In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 3351-3356). IEEE.
  2. Jiang, W., Lin, Z., Wang, K., Ding, S., Fang, C., Bo, H., … & Li, H. (2024). Exploring the Neural Dynamics in Temporal Lobe Epilepsy: A Study using Transformer and Hidden Markov Models. In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 1526-1531). IEEE.
  3. Jiang, W., Ma, L., & Li, H. (2024). Graph Network Modeling of Brain Connectivity: An Exploration of Word and Object Recognition Tasks. In 2024 IEEE 17th International Conference on Signal Processing (ICSP) (pp. 692-696). IEEE.
  4. Jiang, W., Ding, S., Xu, C., Ke, H., Bo, H., Zhao, T., Ma, L., & Li, H. (2023). Discovering the neuronal dynamics in major depressive disorder using Hidden Markov Model. Frontiers in Human Neuroscience, 17, 1197613.
  5. Jiang, W., Lin, F., Zhang, J., Zhan, T., Cao, P., & Wang, S. (2020). Deep-Learning-Based Segmentation and Localization of White Matter Hyperintensities on Magnetic Resonance Images. Interdisciplinary Sciences: Computational Life Sciences, 1-9.
  6. Liu, Q., Xu, C., Jiang, W., Wang, K., Ma, L., & Li, H. (2025). TimeStacker: A Novel Framework with Multilevel Observation for Capturing Nonstationary Patterns in Time Series Forecasting. In 42nd International Conference on Machine Learning (ICML).
  7. Luo, G., Zhao, N., Jiang, W., Hui, E. S., & Cao, P. (2020). MRI reconstruction using deep Bayesian estimation. Magnetic resonance in medicine, 84(4), 2246-2261.

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