Biography
Dr. Ziyu Jia is an Associate Professor at the Institute of Automation, Chinese Academy of Sciences. He has long been engaged in research on non-invasive brain-computer interfaces and brain disease detection. His recent work has been published in leading computer science conferences such as ICML, NeurIPS, and KDD, as well as IEEE Transactions journals, with more than 80 papers in total. Over the past five years, his work has received more than 2900 citations on Google Scholar (H-index 30). He has led more than ten projects including the National Natural Science Foundation of China and National Key R&D Program projects, and has been granted 6 national invention patents and software copyrights. He serves as a council member of the Beijing Society of Brain Network and Brain-like Intelligence, an Associate Editor or Editorial Board Member for multiple Q1 Top journals including IEEE TAFFC and Information Fusion, and an Area Chair for conferences such as NeurIPS and IJCNN. He has been selected for the 2025 MSRA StarTrack Program, the world's top 2% scientists list, and the CIE Young Talent Program. His work has made a positive and sustained academic impact in the interdisciplinary area of brain-computer interfaces and artificial intelligence.
If you are interested in collaborating on topics such as Brain Foundation Models, Multimodal BCI, NeuroAI, and other related topics, I warmly welcome potential collaborators and research interns—feel free to reach out! Contact: +86 15810239891.Selected Publications
Preprint:
- 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]
Published:
- 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
IProc. 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
IProc. 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
IProc. 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]
Patents
-
Automatic Sleep Stages Classification Method Based on Causal Relationship of EEG Signals.
Jing Wang, Ziyu Jia, Youfang Lin, Zehui Jiao.
Chinese Patent. Number: CN109758145A -
Airport Flight Delay Causality Mining Method Based on Transfer Entropy.
Ziyu Jia, Jing Wang, Youfang Lin, Chao Zhang.
Chinese Patent. Number: CN109558436A
Professional Services
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)
Honors and Awards
- 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.
Emails
Like most people, I am struggling to keep up with my email. Here are a few rules that help me handle common situations more efficiently:
| Seeking Code and Data | I am committed to contributing code and data related to my previous work to the scientific community. Usually, they will be open sourced on my Github, but it may take some time to release them. |
| Seeking cooperation | I really like working with people with similar backgrounds to complete research projects. If you are interested in cooperating with me in scientific research, please attach your curriculum vitae (CV) to the email. |
| Review request | Like most of us, I receive requests to review papers at a much higher rate than I can possibly handle. As a selection criterion, I tend to accept reviews of papers that fall into my areas of expertise, and from journals and conferences that do not seek to extract excessive financial profit from the work that authors and reviewers provide for free to the scientific community. |