About me
I pursue AGI research innovation through a brain-inspired paradigm, substantiated by physics-informed and data-driven approaches for algorithmic realization.
- Systems → How to engineer better AI (framework, efficiency, scalability)
- Algorithms → How to design smarter AI (learning, adaptation, generalization)
- Mechanisms → How to understand deeper AI (principles, explainability, theory)
🧠Ph.D., 2022~2026, majored in Cognitive Neuroscience. State Key Laboratory of Cognitive Neuroscience and Learning (IDG/McGovern Institute for Brain Research) at Beijing Normal University. Advised by Prof. Jing Sui & Prof. Vince D. Calhoun (TReNDS). Research on AI↔Brain.
👨⚕️M.E., 2019~2022, majored in Software Engineering. Advised by Prof. Zhongyu li. Research on Deep Learning. 🤖B.E., 2014~2018, majored in Software Engineering. Research on Embedded Software & Robot.
| Interests | Education |
| 🤖️LLM Agents 🌍World Models 📈Continual Learning 🏞Foundation Models | 🎓Ph.D. in Beijing Normal University, 2022-2026 State Key Laboratory of Cognitive Neuroscience and Learning 🎓M.E. in Xi’an JiaoTong University, 2019-2022 Faculty of Electronic and Information Engineering |
I am dedicated to designing intelligent computing models, focusing on developing meta-methods for reasoning, memory, learning, security, and efficiency. My interests span Multimodal AI, Physics AI, AI Agent, AI Scientist, World Simulation, Reinforcement Learning, Twin Brains, Neuro-symbolic AI, Neural Decoding, Neural Coding and Robot.
News
- 🦐 2026/05 Mobile-Shrimp Released: An open-source project to control PC-side LLMs via mobile WeChat & Feishu.
- 🎉 2026/05 A paper has been Early Accepted (Oral) by MICCAI 2026.
- 🎉 2026/04 A paper has been Accepted by ACL 2026 Findings.
- 🎉 2025/10 A paper has been Accepted by Optics and Lasers in Engineering (JCR Q1).
- ⌛️ 2025/07 A patent is in the application process.
- 🎉 2025/07 A paper has been Accepted by Neurocomputing (JCR Q1, IF=6.5).
- 🎉 2025/07 A paper has been Accepted by Physics in Medicine and Biology (JCR Q1).
- 🎉 2025/01 A patent (No. 202410125896.X) for the application of artificial intelligence in radiotherapy.
- 🎉 2024/08 A paper has been Accepted by Medical physics 2024 (JCR Q1, Top 3 Medical Physics journals)
- 🎉 2024/04 A paper about eliminating site effects will be Accepted to EMBC 2024.
- 🎉 2023/12 An abstract of neuroimage classification was Accepted to OHBM2024.
- 🎉 2023/10 Join in the National key research and development program.
Selected Publications
# Equal contributions
- For a complete list (including works under review), please contact me via email.
- Model Design
- Xiangxiang Cui#, Min Zhao#, et al. “A Cross-Feature Mutual Learning Framework Integrating Multiple Features for Brain Disorder Diagnosis”. In Neurocomputing 2025 (JCR Q1)
- Xiangxiang Cui#, Xueying Yang#, et al. “A StarGAN and Transformer-Based Hybrid Classification-Regression Model for Multi-institution VMAT Patient-Specific Quality Assurance.” In Medical Physics 2024 (JCR Q1).
- Xiangxiang Cui, Dongmei Zhi, Weizheng Yan, et al. “CGDM-GAN: An Adversarial Network Approach with Self-supervised Learning for Site Effect Removal. “ In EMBC 2024, CAAI B.
- Xiangxiang Cui, et al. “Multi-Scale Analysis Framework Integrating Brain Functional Connectivity and Activity” In the Annual Meeting of the organization for Human Brain Mapping (OHBM) 2024.
- Xiangxiang Cui, et al. “CGDM-GAN: An Adversarial Network Approach with Self-Supervised for Removing Site Effects” In the Annual Meeting of the organization for Human Brain Mapping (OHBM) 2023.
- Xiangxiang Cui, et al. “Variable-frame CNNLSTM for Breast Nodule Classification using Ultrasound Videos” Preprint 2023.
- Xiangxiang Cui, et al. “DEAttack: A differential evolution based attack method for the robustness evaluation of medical image segmentation.” In Neurocomputing 2021, JCR Q1, IF:6.5.
- Xueying Yang#, Xiangxiang Cui#, et al. “Uncertainty quantification-guided patient-specific quality assurance using Bayesian neural networks based on field complexity features and fluence maps”. In Physics in Medicine and Biology 2025 (JCR Q1)
- Yi Cui, Xiangxiang Cui, et al. “Information transmission through light-induced scattering in photorefractive crystal”. In Optics and Lasers in Engineering 2025 (JCR Q1).
- Yichen Wang, Zhongyu Li, Xiangxiang Cui, et al. “Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos” In MICCAI 2022.
Under submission
- Xiangxiang Cui, Min Zhao, et al. “BRIEF: BRain-Inspired network connection search with Extensive temporal feature Fusion enhances disease classification” Arxiv: https://arxiv.org/abs/2508.11732
- Xiangxiang Cui, Min Zhao, et al. “DSO: Overcoming Multimodal Neuroimaging Feature Fusion Degradation via Dual-Space Optimization.”
Patents
- 一种容积调强放射治疗的检测方法及相关设备, CN Patent
- 一种基于贝叶斯模型不确定性量化的 VMAT 计划患者剂量验证预测方法及系统, CN Patent