贾子钰，男，汉族，中共党员，工学博士，中国科学院自动化研究所助理研究员。个人邮箱：jia.ziyu@outlook.com

一、近期主要论文

[1]Jia, Z., Lin, Y., Wang, J., et al. GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification. In: International Joint Conference on Artificial Intelligence(IJCAI), 2020. (Oral, CCF-A; Citation 200+)

[2]Jia, Z., Wang, H., Liu, Y., et al. Mutual Distillation Extracting Spatial-Temporal Knowledge forLight weight Multi-Channel Sleep Stage Classification. In: ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024. (Oral, CCF-A)

[3]Jia, Z., Lin, Y., Wang, J., et al. Multi-view Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021. (Citation 200+)

[4]Jia, Z., Lin, Y., Wang, J., et al. SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging. In: International Joint Conference on Artificial Intelligence (IJCAI), 2021. (Oral, CCF-A;Citation 100+)

[5]Jia, Z., Lin, Y., Cai, X., et al. SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition. In: ACM International Conference on Multimedia (ACM MM),2020. (Oral, CCF-A; Citation 150+)

[6]Jia, Z., Cai, X., Jiao, Z. Multi-modal Physiological Signals Based Squeeze-and-Excitation Network with Domain Adversarial Learning for Sleep Staging. IEEE Sensors Journal, 2022. (JCR: Q1, ESI Highly Cited)

[7]Liu, Y., Jia, Z.*, et al. EmotionKD: A Cross-Modal Knowledge Distillation Framework for Enhanced Unimodal Emotion Recognition. ACM International Conference on Multimedia, 2024.

[8]Liu, Y., Jia, Z.*, BSTT: A Bayesian Spatial-Temporal Transformer for Sleep Staging. In: International Conference on Learning Representations (ICLR), 2023.

[9]C. Liu, Z. Jia*, et al., VBH-GNN: Variational Bayesian Heterogeneous Graph Neural Networks for Cross-subject Emotion Recognition. In: ICLR, 2024.

二、近期主持项目

[1]国家自然科学基金项目（2024），基于脑电信号判别性时空特征的睡眠阶段分类，30万，在研，项目负责人

[2]北京市科技新星交叉项目（2025），人工耳蜗植入儿童干预效果预测模型构建的关键技术研究，40万，在研，合作单位项目负责人

三、获奖情况

[1]微软亚洲研究院铸星计划，2025年

[2]北京市青年人才托举计划，2025年

[3]中国电子学会青年人才奖，2024 年

[4]中国生物医学大会青年学者奖，2024 年

[5]BSIG 学会优秀博士学位论文奖， 2024 年

[6]NeurIPS causality competition前 1%，2019 年