张梓寒
- Github
- Google Scholar
- Harbin
教育经历
本科：物联网工程
硕士：计算机技术（导师：张宇）
博士：计算机科学与技术（导师：丁效，梁夏）
研究内容
张梓寒. (2023). 基于预训练模型的时序关系图构建技术研究 （硕士学位论文, 哈尔滨工业大学）。
Zhang, Z., Ding, X., Bao, Y., Zhao, Y., Liang, X., Qin, B., & Liu, T. (2024). Chisco: An EEG-based BCI dataset for decoding of imagined speech . Scientific Data, 11(1), 1265.
Du, J., Zhang, Z., & Tao, W. (2025). MultiBCD: A multimodal model that simulates the human diagnostic process for automated breast cancer detection . Biomedical Signal Processing and Control, 104, 107410.
Zhang, Z., Ding, X., Liang, X., Zhou, Y., Qin, B., & Liu, T. (2025). Brain and cognitive science inspired deep learning: a comprehensive survey . IEEE Transactions on Knowledge and Data Engineering.
Zhang, Z., Ding, X., Jiang, T., Gao, J., & Liang, X. (2026). LEEM: A Large EEG-based Emotion Model with Brain-Inspired Sparse Experts . ICASSP 2026 - 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Zhang, Z., Bao, Y., Ding, X., Jiang, T., & Xiong, K. (2026). Is EEG-to-Text Feasible in Real-World Scenarios? An In-Depth Analysis Using a Neuropsychology-Inspired Benchmark . Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 1378–1393.