个人简介
贾子钰博士，中国科学院自动化研究所副研究员，长期从事非侵入式脑机接口与脑疾病检测相关研究，近年来相关成果持续发表于 ICML、NeurIPS、KDD 等计算机领域旗舰会议及 IEEE Transactions 系列期刊共计 80 余篇，近五年谷歌学术引用 2900 余次（H-index 为 30），单篇最高引用 330 余次，单篇引用超 100 次文章 7 篇（均第一作者），ESI 高被引论文 2 篇，主持国家自然科学基金、国家重点项目课题等十余项，已授权国家发明专利及软件著作权 6 项；担任北京脑网络组与类脑智能学会理事，IEEE TAFFC、Information Fusion 多个 1 区 Top 期刊副编辑/编委，NeurIPS、IJCNN 等会议领域主席，脑网络组与脑机接口北京市重点实验室骨干（实验室主任：蒋田仔），中国科学院自动化研究所脑网络组研究中心骨干（中心主任：左年明），入选 2025 年微软亚洲研究院铸星计划、全球前 2% 顶尖科学家、中国电子学会青年人才托举计划、北京市高创青年人才支持计划、国家/北京市一级学会优博（含提名）奖励，在脑机接口与人工智能交叉研究领域产生了积极而持续的学术影响。
如果你对 Brain Foundation Models, Multimodal BCI, NeuroAI 及相关方向感兴趣，欢迎与我联系，期待与潜在合作者和科研实习生交流合作。联系电话：15810239891。代表性论文
预印本:
- A comprehensive survey on eeg-based emotion recognition: A graph-based perspective
Chenyu Liu, Xinliang Zhou, Yihao Wu, Yi Ding, Liming Zhai, Kun Wang, Ziyu Jia, Yang Liu
[PDF]
已发表:
- Cross-Modal Knowledge Distillation for Enhanced Unimodal Emotion Recognition
Ziyu Jia, Yucheng Liu, Haichao Wang, Tianzi Jiang
IEEE Transactions on Affective Computing (IEEE TAFFC), 2025 [PDF] - ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG Models
Chenyu Liu, Yuqiu Deng, Tianyu Liu, Jinan Zhou, Xinliang Zhou, Ziyu Jia, Yi Ding
The Fourteenth International Conference on Learning Representations (ICLR), 2026 [OpenReview] - CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model
Jingying Ma, Feng Wu, Qika Lin, Yucheng Xing, Chenyu Liu, Ziyu Jia, Mengling Feng
The Fourteenth International Conference on Learning Representations (ICLR), 2026 [OpenReview] - Brain foundation models: A survey on advancements in neural signal processing and brain discovery
Xinliang Zhou, Chenyu Liu, Zhisheng Chen, Kun Wang, Yi Ding, Ziyu Jia, Qingsong Wen
IEEE Signal Processing Magazine (SPM), 2025 [PDF] - A Multimodal BiMamba Network with Test-Time Adaptation for Emotion Recognition Based on Physiological Signals
Ziyu Jia, Tingyu Du, Zhengyu Tian, Hongkai Li, Yong Zhang, Chenyu Liu
The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025 [PDF] - REFED: A Subject Real-time Dynamic Labeled EEG-fNIRS Synchronized Recorded Emotion Dataset
Xiaojun Ning, Jing Wang, Zhiyang Feng, Tianzuo Xin, Shuo Zhang, Shaoqi Zhang, Zheng Lian, Yi Ding, Youfang Lin, Ziyu Jia
The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS), 2025 [PDF] - Two-stream Dynamic Heterogeneous Graph Recurrent Neural Network for Multi-label Multi-modal Emotion Recognition
Jing Wang, Zhiyang Feng, Xiaojun Ning, Youfang Lin, Badong Chen, Ziyu Jia
IEEE Transactions on Affective Computing (IEEE TAFFC), 2025 [PDF] - DISD-Net: A dynamic interactive network with self-distillation for cross-subject multi-modal emotion recognition
Cheng Cheng, Wenzhe Liu, Xinying Wang, Lin Feng, Ziyu Jia
IEEE Transactions on Multimedia, 2025 [PDF] - Distillsleepnet: Heterogeneous multi-level knowledge distillation via teacher assistant for sleep staging
Ziyu Jia, Heng Liang, Yucheng Liu, Haichao Wang, Tianzi Jiang
IEEE Transactions on Big Data, 2024 [PDF] - Mutual Distillation Extracting Spatial-temporal Knowledge for Lightweight Multi-channel Sleep Stage Classification
Ziyu Jia, Haichao Wang, Yucheng Liu, Tianzi Jiang
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024 [PDF] - Subject-adaptation salient wave detection network for multimodal sleep stage classification
Jing Wang, Xuehui Wang, Xiaojun Ning, Youfang Lin, Huy Phan, Ziyu Jia
IEEE Journal of Biomedical and Health Informatics (JBHI), 2024 [PDF] - Teacher Assistant-Based Knowledge Distillation Extracting Multi-level Features on Single Channel Sleep EEG
Heng Liang, Yucheng Liu, Haichao Wang, Ziyu Jia
Proc. of the 32th International Joint Conference on Artificial Intelligence, 2023 (IJCAI, CCF A, Oral) [PDF] [Code] [Webpage] - EmotionKD: A Cross-Modal Knowledge Distillation Framework for Emotion Recognition Based on Physiological Signals
Yucheng Liu, Ziyu Jia, Haichao Wang
31st ACM International Conference on Multimedia, 2023 (ACM MM, CCF A) [PDF] - BSTT: A Bayesian Spatial-Temporal Transformer for Sleep Staging
Yuchen Liu, Ziyu Jia
The 11st International Conference on Learning Representations, 2023 (ICLR) [PDF] [Webpage] - Multi-modal physiological signals based squeeze-and-excitation network with domain adversarial learning for sleep staging
Ziyu Jia, Xiyang Cai, Zehui Jiao
IEEE Sensors Journal, 2022 [PDF] - SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging
Ziyu Jia, Youfang Lin, Jing Wang, Xuehui Wang, Peiyi Xie, Yingbin Zhang
Proc. of the 30th International Joint Conference on Artificial Intelligence, 2021 (IJCAI, CCF A, Oral, IJCAI Student Grant), Acceptance Ratio: 13.9% [PDF] [Code] [Slides] [Video] - HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition
Ziyu Jia, Youfang Lin, Jing Wang, Zhiyang Feng, Xiangheng Xie, Caijie Chen
29th ACM International Conference on Multimedia, 2021 (ACM MM, CCF A, Oral, Student Travel Grants) Oral Ratio: 9.22% [PDF] [Code] [Slides] [Video] - Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification
Ziyu Jia, Youfang Lin, Jing Wang, Xiaojun Ning, Yuanlai He, Ronghao Zhou, Yuhan Zhou, Li-wei H. Lehman
IEEE Transactions on Neural Systems and Rehabilitation Engineering (IEEE TNSRE), 2021. SCI-I [PDF] [Code] - SleepPrintNet: A Multivariate Multimodal Neural Network based on Physiological Time-series for Automatic Sleep Staging
Ziyu Jia, Xiyang Cai, Gaoxing Zheng, Jing Wang, Youfang Lin
IEEE Transactions on Artificial Intelligence, 2020 (IEEE TAI) [PDF] - GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification
Ziyu Jia, Youfang Lin, Jing Wang, Ronghao Zhou, Xiaojun Ning, Yuanlai He, Yaoshuai Zhao
Proc. of the 29th International Joint Conference on Artificial Intelligence, 2020, 1324-1330 (IJCAI, CCF A, Oral), Acceptance Ratio: 12.6% [PDF] [Code] [Slides] [Video] - SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition
Ziyu Jia, Youfang Lin, Xiyang Cai, Haobin Chen, Haijun Gou, Jing Wang
28th ACM International Conference on Multimedia (ACM MM 2020, CCF A) [PDF] [Code] [Slides] - MMCNN: A Multi-branch Multi-scale Convolutional Neural Network for Motor Imagery Classification
Ziyu Jia, Youfang Lin, Jing Wang, Kaixin Yang, Tianhang Liu and Xinwang Zhang
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020, CCF B, Oral) [PDF] [Code] [Slides] - Refined Nonuniform Embedding for Coupling Detection in Multivariate Time Series
Ziyu Jia, Youfang Lin, Yunxiao Liu, Zehui Jiao, and Jing Wang
Physical Review E 101 (2020) 062113. (SCI-II) [PDF]
专利
-
Automatic Sleep Stages Classification Method Based on Causal Relationship of EEG Signals.
Jing Wang, Ziyu Jia, Youfang Lin, Zehui Jiao.
中国专利，专利号：CN109758145A -
Airport Flight Delay Causality Mining Method Based on Transfer Entropy.
Ziyu Jia, Jing Wang, Youfang Lin, Chao Zhang.
中国专利，专利号：CN109558436A
学术服务
Associate Editor | Editorial Board
- IEEE Transactions on Affective Computing
- Information Fusion
- Signal, Image and Video Processing
Area Chair | Program Chair | Reviewer
- International Conference on Learning Representations (ICLR)
- Neural Information Processing Systems (NeurIPS)
- International Conference on Machine Learning (ICML)
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
- International Joint Conference on Artificial Intelligence (IJCAI)
- AAAI Conference on Artificial Intelligence (AAAI)
- ACM International Conference on Multimedia (ACM MM)
- International Joint Conference on Neural Networks (IJCNN)
- IEEE International Conference on Data Mining (ICDM)
荣誉奖励
- MSRA StarTrack Program (Microsoft Research Asia), 2025
- World’s Top 2% Scientists (Stanford University), 2025
- CIE Young Talent Award (Chinese Institute of Electronics), 2024
- China Biomedical Conference Youth Scholar Award, 2024
- BSIG Excellent Doctoral Dissertation Award, 2024
- NeurIPS causality competition, Top 1%, 2019. Role: team mentor.
邮件联系
和许多人一样，我也经常需要处理大量邮件。为了更高效地沟通常见事项，下面列出一些简单说明：
| 代码和数据 | 我非常愿意为学术社区贡献与已有工作相关的代码和数据。通常情况下，相关资源会陆续开源在我的 Github 上，但整理和发布可能需要一定时间。 |
| 科研合作 | 我很愿意与研究背景和兴趣相近的同学、老师和研究者开展合作。如果你希望就科研项目进行交流或合作，请在邮件中附上个人简历（CV），并简要说明你的研究兴趣和合作想法。 |
| 审稿邀请 | 我收到的审稿邀请通常多于可实际承担的数量。一般来说，我会优先考虑与本人研究方向高度相关，并且符合学术共同体价值的期刊和会议审稿邀请。 |