Neural Intelligence & Computation Lab (NIC Lab, 神经智能与计算实验室)

Compute Brains. Design Intelligence.
计算大脑，设计智能。

NIC Lab studies the computational principles of the brain and develops intelligent systems that understand, model, and interact with neural and human states. We bridge neural dynamics, large-scale brain data, and artificial intelligence to advance brain science, neuro-medicine, and human–AI intelligence.
NIC Lab 致力于研究大脑的计算原理，并构建能够理解、建模和交互的神经与人类状态的智能系统。我们融合神经动力学、大规模脑数据与人工智能，推动脑科学、神经医学与人机智能的发展。

News 实验室动态

2026.08 [Publication] Congratulations to Chengyuan on the acceptance of their paper "EviBound" to EMNLP 2026!
祝贺 Chengyuan 同学的研究成果被自然语言处理顶级会议 EMNLP 2026 正式录用。
2026.06 [Grant] Our lab's research project is officially supported by the Beijing Municipal Science & Technology Commission's Key Research and Development Program on Brain-Computer Interfaces.
实验室研究课题获得北京市科学技术委员会脑机接口重点研发项目资助。
2026.05 [Publication] Congratulations on the acceptance of the collaborative paper with Jiaxiang Liu and Prof. Xu to ICML 2026!
祝贺与 Jiaxiang 和 Prof. Xu 的合作研究成果被机器学习顶级会议 ICML 2026 正式录用。
2026.04 [Publication] Congratulations to Hongxi Mao and Wei Zhou on the acceptance of their paper to ACL 2026!
祝贺 Hongxi 和 Wei Zhou 同学的研究成果被人工智能顶级会议 ACL 2026 正式录用。
2026.04 [Publication] Congratulations to Xianda Zheng and Dr. Huan Gao on the acceptance of their paper "Evo-PI" to ACL 2026!
祝贺 Xianda 同学和 Dr. Gao 的研究成果 Evo-PI 被人工智能顶级会议 ACL 2026 正式录用。
2026.02 [Publication] Congratulations to Miao Jing and Mengting Jia on the acceptance of his paper "Neural-MedBench" to ICLR 2026!
祝贺 Miao Jing 和 Mengting 同学的研究成果 Neural-MedBench 被人工智能顶级会议 ICLR 2026 正式录用。
2026.01 [Publication] Congratulations to Weihai Zhi on the acceptance of his paper "MedGR²" to AAAI 2026!
祝贺 Weihai 同学的研究成果 MedGR² 被人工智能顶级会议 AAAI 2026 正式录用.
2026.01 [Grant] Our lab's research project is officially supported by the National Natural Science Foundation of China for Young Scientists.
实验室研究课题获得国家自然科学基金青年科学基金C类项目（NSFC）资助。

Research 研究方向

Neural Dynamics & Computational Principles
神经动力学与计算原理

Understanding how neural circuits give rise to brain dynamics, computation, and behavior through biophysical, circuit-level, and data-driven modeling.
结合生物物理、神经环路与数据驱动建模， 研究神经系统如何产生复杂动力学、计算与行为， 揭示大脑信息处理的基本原理。

Brain Foundation Models & NeuroAI
大脑基础模型与神经智能

Building foundation models of large-scale neural data that learn transferable representations across individuals, tasks, devices, and clinical populations, with an emphasis on long-context modeling, multimodal alignment, and evidence-grounded intelligence.
面向大规模真实世界脑数据构建基础模型， 学习跨个体、跨任务、跨设备与跨临床人群的通用神经表征， 重点研究长上下文建模、多模态对齐与证据驱动的神经智能。

Brain–World Intelligence
大脑—世界智能

Developing computational models that connect brain activity with internal states, behavior, language, environment, and intervention, toward human-state modeling and adaptive human–AI systems.
建立连接脑活动、内在状态、行为、语言、环境与干预的计算模型， 探索人类状态建模以及能够理解并适应人的新一代人机智能系统。

Team 团队成员

Director
Dr. Shangyang Li (李尚阳)

Education & Research:

  • 2026 - Present: Tenure-track Assistant Professor/Associate Researcher, Beijing University of Posts and Telecommunications
  • 2024 - 2026: Postdoc, GDIIST (Advisors: Profs. Si Wu, Lirong Zheng, Yuxiang Huan, and Academician Xu Zhang)
  • 2019 - 2024: Ph.D., Peking University (Advisor: Prof. Si Wu)
  • 2015 - 2019: B.S. in Physics, Beijing Normal University

Entrepreneurship & Industry:

  • 2024 - 2025: Head of Neuro-Medical Foundation Model Lab, GreenValley (Shanghai) Pharmaceuticals Co., Ltd.
  • 2023 - 2024: Founder of BrainWise Co., Ltd. (Invested by Dr. Qi Lu, former EVP of Microsoft & CEO of Baidu)
  • 2022 - 2025: Co-Founder of BrainQuant (Achieved top 1% performance in both trading volume and return rate among mainstream exchanges in 2025.)

Academic Service:

  • Conference & Community Reviewer: NeurIPS, ICLR, AAAI, KDD, and ACL Rolling Review (ARR)
  • Journal Reviewer: IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Multimedia (TMM), Frontiers of Computer Science, and Cognitive Neurodynamics
  • Invited Speaker: Annual Meeting of the Psychosomatic Medicine Branch, Chinese Medical Association

教育与科研履历：

  • 2026 - 至今：北京邮电大学 预聘助理教授/副研究员
  • 2024 - 2026：广东省智能科学与技术研究院 博士后
  • 2019 - 2024：北京大学 前沿交叉学科研究院 博士
  • 2015 - 2019：北京师范大学 物理学系 本科

创业与产业经历：

  • 2024 - 2025：绿谷医药（2025年被复星医药收购） 神经医学大模型实验室负责人
  • 2023 - 2024：灵脑科技 Founder（获前微软全球副总裁/百度CEO陆奇博士奇绩创坛投资）
  • 2022 - 2025：BrainQuant Co-Founder（2025年交易规模与回报率进入主流交易所前1%）

学术服务：

  • 国际会议及学术社区审稿人：NeurIPS、ICLR、AAAI、KDD、ACL Rolling Review (ARR)
  • 国际学术期刊审稿人：IEEE Transactions on Neural Networks and Learning Systems (TNNLS)、IEEE Transactions on Multimedia (TMM)、Frontiers of Computer Science、Cognitive Neurodynamics
  • 大会邀请报告：中华医学会心身医学分会年会 (2024,2025)
Current Members
Miao Jing
Intern
Jiang Wu
Research Assistant
Hexin Cai
Intern
Tao Lu
Research Assistant
Xuebin Ren
Intern
Wenhao Yuan
Intern
Jiaqi Liu
Master Student
Yan Zhang
Master Student
Yili Shen
Intern
Shiwei Pu
Intern
Alumni
Chunchang Shao @ Queen Mary University of London
Dr. Xianda Zheng @ The University of Auckland
Dr. Weiguo Lu @ UM @ GDIIST
Dr. Tao Fang @ UM
Dr. Huan Gao @ Microsoft
Weihai Zhi @ SCUT @ Huawei
Qiangjun Ji @ SYSU @ WPS
Mengting Jia @ UM @ GDIIST
Yaru Li @ HKBU
Zhiling Wu @ NUS
Tingyi Chen @ HKUST @ GDIIST
Wei Zhou @ PKU @ Pony.ai
Hongxi Mao @ WHU @ Pony.ai
Kaixuan Wang @ BNU
Xiuqi Fan @ BNU
Chengyuan Gao @ HIT

🚀 Join Us: We are actively recruiting motivated Ph.D./Master students and Postdocs.
课题组常年招收实习生、推免/报考硕博研究生及博士后开展研究工作，欢迎联系！同时可提供丰富的面向业界的实习和全职工作推荐。

Selected Publications 部分论文

2026

  • MedGR²: Breaking the Data Barrier for Medical Reasoning via Generative Reward Learning
    W. Zhi, J. Guo, S. Li*
    AAAI Conference on Artificial Intelligence (AAAI), 2026 (CCF-A)
  • Beyond Classification Accuracy: Neural-MedBench and the Need for Deeper Reasoning Benchmarks
    M. Jing, et al., S. Li*
    International Conference on Learning Representations (ICLR), 2026 (CCF-A)
  • Schema-Adaptive Tabular Representation Learning with LLMs for Generalizable Multimodal Clinical Reasoning
    H. Mao, et al., S. Li*
    Annual Meeting of the Association for Computational Linguistics (ACL), 2026 (CCF-A)
  • Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided Supervision
    X. Zheng, et al., S. Li*
    Annual Meeting of the Association for Computational Linguistics (ACL), 2026 (CCF-A)
  • Self-Calibrated Consistency can Fight Back for Adversarial Robustness in Vision-Language Models
    J. Liu, J. Du, X. Liu, S. Li , S. Ma, C. Wang, P. Tiwari, M. Xu
    International Conference on Machine Learning (ICML), 2026 (CCF-A)
  • Evidence-Bounded Mental Health Reasoning from Heterogeneous Speech Protocols
    C. Gao, et al., S. Li*
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026 (CCF-B)

2025

  • Subgraph Federated Learning with Information Bottleneck Constrained Generative Learning
    S. Li, J. Guo
    ACM Transactions on Knowledge Discovery from Data (TKDD), 2025 (JCR Q1, CCF-B)
  • Harnessing Pre-trained Language Models for EEG-based Epilepsy Detection
    T. Lu#, S. Li#*
    IEEE International Conference on Multimedia and Expo (ICME), 2025 (CCF-B)
  • Empowering Cross-Patient Adaptive-Length Epilepsy Diagnosis with ECNorm: A Channel-wise Approach
    K. Wang, T. Lu, S. Li*
    Proceedings of the Cognitive Science Society (CogSci), 2025 (CCF-B)

2024

  • Spindle Oscillation Emerges at the Critical State of the Electrically Coupled Network in Thalamic Reticular Nucleus
    S. Li, C. Wang, S. Wu
    Cell Reports, 2024 (JCR Q1, Cell 子刊, 中科院一区 )
  • BrainPy: a Flexible, Integrative, Efficient, and Extensible Framework for General-Purpose Brain Dynamics Programming
    C. Wang, et al., S. Li, S. Wu
    eLife, 2024 (JCR Q1, 中科院一区 )
  • BrainPy: a Differentiable Brain Simulator Bridging Brain Simulation and Brain-Inspired Computing
    C. Wang, et al., S. Li, S. Wu
    International Conference on Learning Representations (ICLR), 2024 (CCF-A)

See full publications at Google Scholar, DBLP.

Contact 联系方式

📍 Address: Beijing University of Posts and Telecommunications (北京邮电大学), Beijing, China

📧 Email: nic_lab@163.com