CV
Appointments
- Assistant Professor, Graduate School of Information Sciences, Tohoku University, Japan, Apr 2026 – present
- Yamada Laboratory · International Liaison Office (ILO)
- Assistant Professor (Concurrent), Unprecedented-scale Data Analytics Center (UDAC), Social Integration Research Division, Tohoku University, Apr 2026 – present
- TechGov initiative (from May 2026); research member, Tohoku University × NTT DATA Group joint research on technology governance (from Jun 2026)
Education
- Ph.D., Information Sciences (Cognitive Neuroscience / Vision Science), Tohoku University, Japan, Apr 2023 – Mar 2026
- Thesis: Exploring Brain Mechanisms of Self-Initiated Attention Shift: Simultaneous Recording of EEG and Eye Movements
- Advisors: Prof. Satoshi Shioiri, Prof. Shuichi Sakamoto, Prof. Chia-huei Tseng
- Visual Cognition and Systems Laboratory
- Visiting PhD Scholar, Harvard Medical School / Massachusetts General Hospital, Aug 2024 – Jan 2025
- Department of Neurology, MGH
- Training in sEEG, hyperscanning, neural mechanisms of speech and interactive communication
- Advisors: Instructor Jing (Jill) Cai, Prof. Sydney S. Cash
- M.S., Information Sciences, Tohoku University, Japan, Apr 2021 – Mar 2023
- Visual Cognition and Systems Laboratory
- Advisors: Prof. Satoshi Shioiri, Prof. Chia-huei Tseng
- B.Eng., Electronic and Information Engineering (Automation), Tongji University, China, Sep 2016 – Jul 2020
Research Interests
AI4Brain
- Reliable decoding and automated analysis of EEG (preprocessing-induced instability, per-trial uncertainty, feature attribution)
- Visual attention and self-initiated attentional control
- Eye movement–EEG integration (gaze-contingent paradigms, saccades and microsaccades)
- Decision-related neural dynamics and computational modeling (accumulation-to-bound, time–frequency analysis)
Brain4AI
- Cognitive neuroscience as a framework for understanding, evaluating, and improving AI systems
- Cognitive probes and evaluation protocols for LLMs (working memory, cumulative state tracking, cognitive ability structure)
Across these directions, my current work explores aligning brain signals (EEG, fMRI) with representations in large language and vision-language models.
Publications
Jiang, L., Xu, L., Li, P., Hou, D., Ge, Q., Zhuang, D., Xing, S., Chen, W., Gao, X., et al. (2026). TimePre: Bridging Accuracy, Efficiency, and Stability in Probabilistic Time-Series Forecasting. Transactions on Machine Learning Research. https://openreview.net/forum?id=yQLnvkJMbP
Tan, B., Wang, J., Hou, D., Jiang, L., Wu, Z., Shen, Y., Lin, F., Yamada, K., & Koike, A. (2026). Control-Diverse Reinforcement Fine-Tuning: Decoupling the Shared Control Bottleneck of RL Post-Training. arXiv preprint arXiv:2608.08224.
Hou, D., Jiang, L., Lin, F., & Yamada, K. D. (2026). CogEEGAgent: Toward Autonomous Cognitive EEG Analysis with Grounded Execution and Selection-Aware Verification. arXiv preprint arXiv:2607.25045.
Hou, D., Jiang, L., Lin, F., & Yamada, K. D. (2026). CogArena: A Multimethod Evaluation of Cognitive Ability Structure in Large Language Models. arXiv preprint arXiv:2607.24999.
Jiang, L., Hou, D., Wang, Y., Su, Y., Xing, S., Chen, W., Zhang, X., Tu, Z., Zhang, Z., Lin, F., Zielewski, M., & Yamada, K. (2026). A compact Kolmogorov–Arnold network mixer for long-term time series forecasting. Scientific Reports. https://doi.org/10.1038/s41598-026-59667-5
Hou, D., Wu, Z., Zeng, Y., Jiang, L., Lin, F., & Yamada, K. (2026). Self-Evolving Agent Engineering for Healthcare: Methodologies and Applications. Preprints.org.
Jiang, L., Li, Z., Xing, S., Li, P., Takahashi, T., Hou, D., Tu, Z., Yamada, K., & Lin, F. (2026). PathCal: State-Aware Reflection-Marker Calibration for Efficient Reasoning. arXiv preprint arXiv:2605.23074.
Zeng, Y., Hou, D., Zhang, Z., Sun, S., Huang, Y., Tseng, C., & Shioiri, S. (2026). Subject-Specific Analysis of Self-Initiated Attention Shifts from EEG with Controlled Internal and External Attention Conditions. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2026).
Hou, D., Wu, Z., Jiang, L., Li, Z., Lin, F., & Yamada, K. D. (2026). Same Brain, Different Prediction: How Preprocessing Choices Undermine EEG Decoding Reliability. arXiv preprint arXiv:2605.07212.
Wu, Z., Xu, S., Chen, B., Wan, S., Li, Y., Ruan, W., Lyu, Y., Li, S., Zhu, D., Liu, T., & Zhao, L. (2026). Vibe Medicine: Redefining Biomedical Research Through Human-AI Co-Work. arXiv preprint arXiv:2604.23674.
Hou, D., Jiang, L., Li, D., Li, Z., Lin, F., & Yamada, K. D. (2026). WMF-AM: Probing LLM Working Memory via Depth-Parameterized Cumulative State Tracking. arXiv preprint arXiv:2603.27343.
Li, Z., Chen, X., Jiang, L., Hou, D., Lin, F., Yamada, K., Gao, X., & Tu, Z. (2026). Physics-Aware Video Instance Removal Benchmark. CVPR 2026 Workshop VGBE.
Hou, D., Sun, S., Hatori, Y., Tseng, C., & Shioiri, S. (2025). Task-constrained self-initiated attention shifts are indexed by frontal-midline theta ramping. Frontiers in Human Neuroscience.
Zhao, J., Wang, Y., Hou, D., Négyesi, J., Qiu, D. L., & Nagatomi, R. (2025). EEG activity over ipsilateral and contralateral M1 during simple and complex hand tasks: Variations with motor learning. Frontiers in Neuroscience, 19, 1681250.
Zhao, J., Wang, Y., Hou, D., Sun, S., Négyesi, J., Inada, H., Shioiri, S., & Nagatomi, R. (2025). Commonality of neuronal coherence for motor skill acquisition and interlimb transfer. Scientific Reports, 15(1), 26276.
Talks & Presentations
September 01, 2026
Invited talk at The 44th Annual Conference of the Robotics Society of Japan (RSJ2026), Open Forum OF7, Kanazawa, Japan
August 04, 2026
Invited talk at The 12th Annual CWRU-Tohoku Data Science in Engineering and Life Sciences Symposium, Cleveland, OH, USA
December 15, 2025
Oral presentation at ヒューマン情報処理研究会 (HIP), Sendai, Japan
December 15, 2025
Oral presentation at ヒューマン情報処理研究会 (HIP), Sendai, Japan
September 10, 2025
Poster presentation at 日本視覚学会 2025年夏季大会, Morioka, Japan
June 20, 2025
Poster presentation at EPC & APCV Joint Meeting 2025, UNSW Conferences, Sydney, Australia
October 09, 2024
Poster presentation at Society for Neuroscience (SfN) Annual Meeting 2024, Chicago, IL, USA
October 09, 2024
Poster presentation at Society for Neuroscience (SfN) Annual Meeting 2024, Chicago, IL, USA
July 12, 2024
Poster presentation at The 16th Asia Pacific Conference on Vision (APCV 2024), Singapore
July 10, 2024
Oral presentation at The 16th Asia Pacific Conference on Vision (APCV 2024), Singapore
September 19, 2023
Poster presentation at 日本視覚学会 2023年夏季大会, Kanazawa, Japan
August 28, 2023
Poster presentation at European Conference on Visual Perception (ECVP 2023), Paphos, Cyprus
August 27, 2023
Oral presentation at European Conference on Visual Perception (ECVP 2023), Paphos, Cyprus
January 18, 2023
Poster presentation (English) at 日本視覚学会 2023年冬季大会, Tokyo, Japan
September 05, 2022
Oral presentation at 日本視覚学会 2022年夏季大会, Kanazawa, Japan
May 15, 2022
Talk at Vision Sciences Society (VSS) Annual Meeting 2022, St. Pete Beach, FL, USA
January 19, 2022
Poster presentation (English) at 日本視覚学会 2022年冬季大会, Japan
October 01, 2021
Poster presentation at IEICE Technical Report, Japan
Teaching
Grants, Fellowships & Awards
- KAKENHI Grant-in-Aid for Research Activity Start-up (PI), 注意テンプレートの表象形式:計算モデル階層・脳波・視線追跡による解明 (26K25566, ¥2,600,000), Jul 2026 – Mar 2028
- Kaggle Silver Medal, ROGII - Wellbore Geology Prediction (89/6125, top 1.5%), Aug 2026
- Research Grant (PI), Center for So-Go-Chi (Convergence Knowledge) Informatics, Tohoku University (¥400,000), Jul 2026
- Research Member, Tohoku University × NTT DATA Group Joint Research on Technology Governance (TechGov, UDAC) (¥1,000,000 individual allocation, of ¥40,000,000 total project), Jun 2026 – present
- Kaggle Expert, Bronze Medal, CSIRO Image2Biomass Prediction (355/3805), 2026
- JSPS DC2 Research Fellowship, Japan Society for the Promotion of Science, 2025–2026 (completed)
- Kaggle Bronze Medal, Santa 2024 Perplexity Permutation Puzzle (148/1514), Feb 2025
- KAKENHI Grant-in-Aid for Scientific Research (A), 自発的脳機能の神経基盤理解 (PI: Prof. Satoshi Shioiri), 2024 – 2028
- Best Presentation Award (ベストプレゼンテーション賞), 32nd Doctoral Student Presentation, Tohoku University, Dec 2024
- ECVP Student Travel Award, European Conference on Visual Perception, Aug 2023
- JST Next Generation Researcher Challenging Research Program (挑戦的研究支援プロジェクト), Tohoku University, 2023 – 2025
- Tohoku University GPDS Research Assistant (東北大学データ科学国際共同大学院プログラム生 & Research Assistant), Apr 2022 –
- Kamei Memorial Foundation Scholarship for International Students (公益財団法人亀井記念財団外国人留学生奨学生), Apr 2021 – Mar 2023
- Tongji University Undergraduate Entrance Scholarship, Sep 2016
Skills
- Neuroimaging & Psychophysics: EEG/ERP, Eye-tracking, sEEG, Gaze-contingent paradigms, Visual psychophysics
- Computational Methods: Time-frequency analysis, Neural decoding (MVPA), Accumulation-to-bound modeling, Machine learning
- Programming: Python, MATLAB, R, MNE-Python, EEGLAB
Languages
- Chinese (Mandarin): Native or bilingual proficiency
- English: Professional working proficiency (TOEIC 910/990, TOEFL 90/120)
- Japanese: Limited working proficiency (JLPT N2)
Service
Editorial Board:
Peer Reviewer:
- Journal of NeuroEngineering and Rehabilitation
- Scientific Reports
- Discover Neuroscience
- European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2026)
- International Joint Conference on Neural Networks (IJCNN)