蔡思祺

教授

哈尔滨工业大学(深圳)

教育背景

教育经历（按时间倒序）：

  • 2016-2020：华南理工大学 机械工程及自动化 博士学位（全日制）
  • 2012-2016：华南理工大学 机械工程及自动化 学士学位（全日制）

工作经历（按时间倒序）：

  • 2025-至今：哈尔滨工业大学（深圳）智能科学与工程学院 教授
  • 2020-2024：新加坡国立大学 电子与计算机工程学院 研究员
研究领域
脑机接口、类脑智能、语音信号处理和多模态信息处理、AI+神经科学、智能医疗
个人网站
https://homepage.hit.edu.cn/caisiqi?lang=en
邮箱
siqicai@slai.edu.cn
个人简介

蔡思祺，哈尔滨工业大学（深圳）智能科学与工程学院教授、博导，国家级青年人才。主要研究方向为脑机接口、类脑智能和多模态信息处理，已发表50余篇国际期刊/会议论文，曾获广东省科技进步奖二等奖。担任Springer IJSR副主编、Neural Networks客座主编，新加坡COLIPS学会理事。作为Co-Chair主持了ICASSP、INTERSPEECH等国际会议。欢迎科研合作与优秀学生报考。

学术著作

[1] Cai S, Li P, Li H. A Bio-Inspired Spiking Attentional Neural Network for Attentional Selection in the Listening Brain. IEEE Transactions on Neural Networks and Learning Systems, 2023 (SCI一区, DOI: 10.1109/TNNLS.2023.3303308)

[2] Su E, Cai S, et al. STAnet: A Spatiotemporal Attention Network for Decoding Auditory Spatial Attention from EEG. IEEE Transactions on Biomedical Engineering, 2022 (SCI 二区, DOI: 10.1109/TBME.2022.3140246)

[3] Cai S, Su E, et al. EEG-based auditory attention detection via frequency and channel neural attention. IEEE Transactions on Human-Machine Systems, 2021, 52(2): 256-266 (SCI二区, DOI: )

[4] Cai S, Schultz T, Li H. Brain Topology Modeling With EEG-Graphs for Auditory Spatial Attention Detection. IEEE Transactions on Biomedical Engineering, 2023 (SCI二区, DOI: 10.1109/TBME.2023.3294242)

[5] Fathi F, Cai S, Mousavi A A. A neuroscience-inspired spiking neural network for EEG-based auditory spatial attention detection. Neural Networks, 2022, 152: 555-565 (SCI二区, DOI: 10.1016/j.neunet.2022.05.003)

[6] Pan Z, Borsdorf M, Cai S*, et al. NeuroHeed: Neuro-steered speaker extraction using EEG signals. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 (SCI二区)

[7] He T, Wei M, Cai S*, et al. VocalMind: A Stereotactic EEG Dataset for Vocalized, Mimed, and Imagined Speech in Tonal Language. Scientific Data, 2025, 12(1): 657 (SCI二区)

[8] Cai S, Zhang R, Zhu H, et al. Modeling the temporal dynamics of eeg signals in selective listening. IEEE Transactions on Consumer Electronics, 2025 (SCI二区)

[9] Zhang X, Zhu P, Cai S*, et al. TrustCLIP: Learning from Noisy Labels via Semantic Label Verification and Trust-aligned Gradient Projection. Proceedings of the 33rd ACM International Conference on Multimedia, 2025: 4388-4397 (CCF-A)

Cai S, Lin Z, Liu X, et al. Spiking neural networks for EEG signal analysis: From theory to practice. Neural Networks, 2025: 108127 (SCI二区)