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 explores the brain's computational principles to build intelligent systems with high application value. We integrate mechanism-driven biophysical modeling with data-driven machine learning methods to synergetically advance both brain science and artificial intelligence.
NIC Lab 致力于探索大脑计算机理，构建具备应用价值的智能系统。我们融合机制驱动的生物物理建模与数据驱动的机器学习方法，协同推动脑科学与人工智能的发展。

News 实验室动态

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

Mechanism-Driven Modeling
机制驱动建模

Biophysical and circuit-level modeling of neural dynamics to uncover the computational principles of the brain.
从生物物理与神经环路层面解析神经动力学，理解大脑计算的内在机制。

Neuro-Medical AI
神经医学人工智能

Multimodal foundation models and training paradigms for real-world diagnosis and treatment of brain disorders.
面向真实场景，构建多模态基础模型与训练范式，解决脑疾病的诊疗需求。

Brain-inspired AI
类脑智能

Designing artificial intelligence algorithms grounded in the structural and functional principles of the brain.
基于大脑结构与功能原理，开发新型人工智能算法。

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.)

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） 神经医学大模型智能联合实验室负责人
  • 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%）
Current Members
Miao Jing
Intern
Jiang Wu
Research Assistant
Chengyuan Gao
Intern
Hexin Cai
Intern
Tao Lu
Research Assistant
Xuebin Ren
Intern
Wenhao Yuan
Intern
Jiaqi Liu
Master Student
Yan Zhang
Master Student
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

🚀 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)

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