I am pursuing a Ph.D. at Huazhong University of Science and Technology, supervised by Prof. Dongrui Wu. My research interests focus on Brain–Computer Interface, Smart Healthcare, World Model, and Machine Learning.

I was selected for the Youth Student Fundamental Research Project from NSFC (国家自然科学基金博士生项目入选者) and the Young Elite Scientists Sponsorship Program-Doctoral Student Special Plan from CAST (中国科协青年人才培育工程-博士生专项入选者), with a total funding of 340,000 RMB (~ 48,000 USD).

BCI & EEG Machine Learning Smart Healthcare Data Generation Foundation Model
  • Publications: To date, I have published 8 first-author papers—5 in CAS Q1/Top journals (e.g., National Science Review, IF=17.1), 7 co-authored papers (CAA Class-A), and hold 5 PRC national invention patents.
  • Honors: National Scholarship×3 (2 for PhD); Ant Group InTech Scholarship (1 of 10 worldwide); IEEE CIS Scholarship (1 of 5 worldwide); Merit student Pacesetter (Highest Student Honor at HUST); Outstanding Graduate of Hunan Province; Huanao Top-10 BCI Highlights in China; World Robot Contest–BCI National First & Second Prizes.
  • Service: Long-standing reviewer for leading journals and conferences (IEEE TFS, IEEE JBHI, IEEE TNSRE, IEEE TBIOM, JNE, Scientific Reports, ICONIP 2024, ICONIP 2025, IEEE SMC 2022); recognized as IOP Trusted Reviewer.

News

  • 12 / 2025:   Poster at SAAC 2025; Wuhan, China.
  • 12 / 2025:   I was supported by the Young Elite Scientists Sponsorship Program-Doctoral Student Special Plan by CAST (中国科协青年人才培育工程-博士生专项), which is a grant of 40,000 RMB (~ 5,600 USD).
  • 12 / 2025:   I was supported by the Youth Student Fundamental Research Project from NSFC (国家自然科学基金博士生项目), which is a grant of 300,000 RMB (~ 42,500 USD).
  • 10 / 2025:   Awarded National Scholarship (PhD).
  • 10 / 2025:   Awarded Merit student Pacesetter (Highest Student Honor at HUST). Media coverage, Media coverage
  • 10 / 2025:   Awarded the reviewer certificate by Springer Nature.
  • 10 / 2025:   DBConformer has been accepted by the IEEE Journal of Biomedical and Health Informatics (CAS Q1/Top, JCR Q1, IF=6.8).
  • 10 / 2025:   MVCNet has been accepted by the Knowledge-Based Systems (CAS Q1/Top, JCR Q1, IF=7.3).
  • 09 / 2025:   Awarded Ant Group InTech Scholarship (1 of 10 Worldwide; 2 in Digital Medicine). Zhejiang Daily, Ant Group, Media coverage
  • 08 / 2025:   National Second Prize in World Robot Contest—Brain Controlled Robot Contest.
  • 05 / 2025:   Oral at China Systems Science Conference 2025; Kunming, China.
  • 03 / 2025:   CST has been accepted by the National Science Review (IF=17.1). EurekAlert, Media coverage
  • 02 / 2025:   CSDA has been accepted by the Knowledge-Based Systems (CAS Q1/Top, JCR Q1, IF=7.3).
  • 12 / 2024:   Awarded IOP Trusted Reviewer.
  • 12 / 2024:   Poster at First China Brain–Computer Intelligence Conference; Hangzhou, China.
  • 12 / 2024:   Poster at SAAC 2024; Wuhan, China.
  • 10 / 2024:   Awarded National Scholarship (PhD).
  • 09 / 2024:   Oral at Alibaba Cloud Yunqi Conference (AI for Science showcase); Hangzhou, China. Media coverage
  • 08 / 2024:   Awarded Huanao Top-10 BCI Highlights in China.
  • 04 / 2024:   CR has been accepted by the Neural Networks (CAS Q1/Top, JCR Q1, IF=6.3).
  • 11 / 2023:   ICONIP Tutorial: Transfer Learning for EEG-based Brain–Computer Interfaces; Changsha, China.
  • 10 / 2023:   TASA-SDS has been accepted by the Journal of Neural Engineering (CAA A, Top journal in BCI).
  • 08 / 2023:   National First Prize in World Robot Contest—Brain Controlled Robot Contest.
  • 03 / 2022:   Awarded IEEE Computational Intelligence Society Scholarship (1 of 5 Worldwide).
  • 09 / 2021:   National Second Prize in World Robot Contest—Brain Controlled Robot Contest.
  • 05 / 2021:   Awarded Outstanding Graduate of Hunan Province (TOP 1%).
  • 05 / 2021:   Awarded Outstanding Graduate in Central South University.
  • 12 / 2020:   Awarded National Scholarship (Undergraduate).
  • 12 / 2020:   Awarded Special Scholarship (Highest Scholarship at CSU).

Publications

NSR 2025
nsr-2025

Canine EEG helps human: Cross-species and cross-modality epileptic seizure detection via multi-space alignment

Z. Wang, S. Li, D. Wu*, National Science Review, vol.12, no.6, p. nwaf086, 2025. (CAS Q1 Top journal)

Paper|Code|Supplementary|EurekAlert|Media coverage

IEEE JBHI 2025
jbhi-2025-dbconformer

DBConformer: Dual-branch convolutional Transformer for EEG decoding

Z. Wang, H. Wang, T. Jia, X. He, S. Li, and D. Wu*, IEEE Journal of Biomedical and Health Informatics, 2025, Early access. DOI: 10.1109/JBHI.2025.3622725. (CAS Q1 Top journal)

Paper|Code

Neural Networks 2024
nn-2024-channel-reflection

Channel reflection: Knowledge-driven data augmentation for EEG-based BCIs

Z. Wang†, S. Li†, J. Luo, J. Liu, and D. Wu*, Neural Networks, vol.176, p.106351, 2024. (CAS Q1 Top journal)

Paper|Code|Media coverage

KBS 2025
kbs-2025-tf-aug

Time-frequency transform based EEG data augmentation for brain-computer interfaces

Z. Wang, S. Li, X. Chen, and D. Wu*, Knowledge-Based Systems, vol.311, p.113074, 2025. (CAS Q1 Top journal)

Paper|Code

KBS 2025
kbs-2025-mvcnet

MVCNet: Multi-view contrastive network for motor imagery classification

Z. Wang, S. Li, X. Chen, and D. Wu*, Knowledge-Based Systems, vol.328, p.114205, 2025. (CAS Q1 Top journal)

Paper|Code

JNE 2023
jne-2023-uda

Unsupervised domain adaptation for cross-patient seizure classification

Z. Wang, W. Zhang, S. Li, X. Chen, and D. Wu*, Journal of Neural Engineering, vol.20, no.6, p.066002, 2023. (CAA A-class journal)

Paper|Code

IEEE CIS 2022
ieee-cis-2021-student-grant

EEG-based seizure prediction using transfer learning

Z. Wang and D. Wu*, IEEE Computational Intelligence Society, Student Grant Paper, 2022.

Paper|Link

CSSC 2025
cssc-2025-oral

Cross-species and cross-modality epileptic seizure detection via multi-space alignment

Z. Wang, S. Li, D. Wu*, China Systems Science Conference (CSSC), Oral, 2025.5.16-2025.5.18, Kunming, China. (First author; CAA C-class conference)

Oral

IEEE CIM 2025
cim-2025-sml

Black-Box Test-Time Ensemble

S. Li, Z. Wang, C. Liu, and D. Wu*, IEEE Computational Intelligence Magazine, early access, 2025. (JCR Q1 journal)

Code

IEEE TNSRE 2024
tnsre-2024-abat

Alignment-based adversarial training (ABAT) for improving the robustness and accuracy of EEG-based BCIs

X. Chen, Z. Wang, and D. Wu*, IEEE Trans. on Neural Systems and Rehabilitation Engineering, vol. 32, pp. 1703-1714, 2024. (CAS Q1 journal)

Paper|Code

IEEE TBME 2023
tbme-2023-ttime

T-TIME: Test time information maximization ensemble for plug-and-play BCIs

S. Li, Z. Wang, and D. Wu*, IEEE Trans. on Biomedical Engineering, vol. 71, pp. 423-432, 2023. (CAA A-class journal)

Paper|Code

IEEE TNSRE 2022
tnsre-2022-msdt

Multi-source decentralized transfer for privacy-preserving BCIs

W. Zhang, Z. Wang, and D. Wu*, IEEE Trans. on Neural Systems and Rehabilitation Engineering, vol. 30, pp. 2710-2720, 2022. (CAS Q1 journal)

Paper

IEEE TBME 2023
tbme-2023-ds3tl

Deep source semi-supervised transfer learning (DS3TL) for cross-subject EEG classification

X. Jiang, L. Meng, Z. Wang, and D. Wu*, IEEE Trans. on Biomedical Engineering, vol. 71, pp. 1308-1318, 2023. (CAA A-class journal)

Paper|Code

IEEE TBME 2025
tbme-2025-sdda

Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG Classification

D. Liu, S. Li, Z. Wang, W. Li, and D. Wu*, *IEEE Trans. on Biomedical Engineering, early access, 2025. (CAA A-class journal)

Code

JNE 2025
jne-2025-uwp

User-wise perturbations for user identity protection in EEG-based BCIs

X. Chen, S. Li, Y. Tu, Z. Wang, and D. Wu, *Journal of Neural Engineering, vol. 22, no. 1, p. 016040, 2025. (CAA A-class journal)

Paper|Code

Honors and Awards

  • 09 / 2025 Ant Group InTech Scholarship (10 Awardees Worldwide; 2 in Digital Medicine); Ant Group / Ant Science and Technology Award
  • 10 / 2025 National Scholarship (PhD); Ministry of Education of the People’s Republic of China
  • 10 / 2024 National Scholarship (PhD); Ministry of Education of the People’s Republic of China
  • 10 / 2025 Merit student Pacesetter (Highest Student Honor at HUST); Huazhong University of Science and Technology
  • 12 / 2020 National Scholarship (Undergraduate); Ministry of Education of the People’s Republic of China
  • 05 / 2021 Outstanding Graduate of Hunan Province; Hunan Provincial Department of Education
  • 02 / 2022 IEEE Computational Intelligence Society Scholarship (5 Awardees Worldwide); IEEE Computational Intelligence Society
  • 08 / 2023 National First Prize in World Robot Contest — BCI; Chinese Institute of Electronics
  • 08 / 2024 Huanao Top-10 BCI Highlights in China; Haihe Laboratory of BCI & HMI (provincial–ministerial joint platform)
  • 08 / 2025 National Second Prize in World Robot Contest — BCI; Chinese Institute of Electronics
  • 09 / 2021 National Second Prize in World Robot Contest — BCI; Chinese Institute of Electronics
  • 12 / 2024 IOP Trusted Reviewer; Institute of Physics (IOP Publishing)
  • 05 / 2021 Outstanding Graduate; Central South University
  • 12 / 2020 Special Scholarship (Top Award); Central South University

Educations

  • 09 / 2021 - now, Ph.D. (MS–Ph.D. program), Huazhong University of Science and Technology, Intelligent Science & Technology
  • 09 / 2017 - 06 / 2021, B.Eng., Central South University, Measurement, Control Technology & Instruments

Invited Talks

  • 11 / 2023, ICONIP 2023 — Tutorial: Transfer learning for EEG-based brain–computer interfaces: A tutorial; Changsha, China.
  • 05 / 2025, China Systems Science Conference (CSSC)Oral: Cross-species & cross-modality seizure detection via multi-space alignment; Kunming, China.
  • 12 / 2024, First China Brain–Computer Intelligence ConferencePoster: Channel reflection: Knowledge-driven data augmentation for EEG-based BCIs; Hangzhou, China.
  • 09 / 2024, Alibaba Cloud Yunqi Conference (AI for Science showcase) — Oral: EEG-based automatic seizure detection; Hangzhou, China.
  • 12 / 2024, SAAC 2024Poster: Channel reflection: Knowledge-driven data augmentation for EEG-based BCIs; Wuhan, China.
  • 12 / 2025, SAAC 2025Poster: DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding; Wuhan, China.

Internships

  • 10 / 2022 - 04 / 2023, Alibaba Cloud, China.
    • Anomaly-aware data augmentation: designing five augmentation operators leveraging N-grams and TF-IDF to augment positive-class samples, increasing data availability and improving the generalization of fault-detection models.
    • Long-sequence forecasting with Transformer: Quantified anomaly-feature importance to identify salient/sparse queries, and designed a SparseAttention module to handle long sequences more efficiently.
    • Domain-generalized MoE architecture: Addressed substantial temporal and device-level distribution shifts in server-fault data by designing a domain-generalized Mixture-of-Experts model for robust prediction under distribution shift.
    • Authorized patent (student first author).