1. 使命和愿景

人工智能工业创新研究中心通过跨学科合作，研究“AI for Engineering”(包括“AI for Science”和“AI for Industrial Innovation”)，具体研究和使用新一代、可解释的人工智能（XAI）来将计算机辅助设计（CAD/CAE）提升为“计算机自动设计”(CAutoD，包括新一代EDA)，旨在工业4.0/5.0创新发展中，超越设计师脑力劳动的探索力、想象力、创造力。

中心主页：https://i4ai.org/index.html

2. 师资队伍

中心研究人员20余人，其中包括：IEEE FELLOW 3人，国家级人才4人，博士生导师5人，硕士生导师3人，博士后6人，外专访问教授4人。实验室主任为李耘教授，IEEE FELLOW，国家级人才。

更详细的师资情况请查阅网址https://i4ai.org/about_us.html

3. 招生专业

博士招生专业：085400电子信息、085401新一代电子信息技术（含量子技术等）01电磁场方向、085404计算机技术

硕士招生专业：085400电子信息、085401新一代电子信息技术（含量子技术等）01电磁场方向、085404计算机技术、085500机械、085400电子信息（非全日制）

4. 科研平台

基于所获中国科技部“计算机自动设计技术及应用”高端外专、国家基金委“可解释、可通用的下一代人工智能方法重大研究计划”培育、“先进计算与新兴软件”国家重点研发计划“高能效感算一体芯片与系统”等项目。

5. 代表性学术论文

1. Yu, S., Ren, Y., Wu, X., Guo, P., Li, Y. (2024). Dynamic pruning-based Bayesian support vector regression for reliability analysis. Reliability Engineering & System Safety, 244, 109922. （中科院一区）

2. Li, J., Zeng, Y., Zhi, H., Yang, J., Shan, W., Li, Y., Li, Y. (2023). Knowledge Transfer Framework for PVT Robustness in Analog Integrated Circuits. IEEE Transactions on Circuits and Systems I: Regular Papers, 1–14.（中科院一区）

3. Li, J., Zhi, H., Shan, W., Li, Y., Zeng, Y., Li, Y. (2023). Multi-Task Evolutionary to PVT Knowledge Transfer for Analog Integrated Circuit Optimization. 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 1–9. （CCF B）

4. Xu, R., Wang, J., & Li, Y. (2023). Cross-Intent Graph Contrastive Learning for Fashion Sequential Recommendation. 2023 28th International Conference on Automation and Computing (ICAC), 1–6.（会议最佳论文）

5. Xiao, J., Li, A.-J., Han, Y. S., Huang, T., & Li, Y. (2023). Automatically-Grown Optimal Neural Controller. 2023 28th International Conference on Automation and Computing (ICAC), 1–6.

6. Wei, Y., Wang, S., & Li, Y. (2023). Graph Theory Based Machine Learning for Analog Circuit Design. 2023 28th International Conference on Automation and Computing (ICAC), 1–6.

7. Li, M., & Li, Y. (2023). Heuristic Data-Driven Adaptive Model Predictive Control Strategy. 2023 28th International Conference on Automation and Computing (ICAC), 1–6.

8. Li, J., Wang, S., Li, Z., Huang, T., Han, Y. S., & Li, Y. (2023). Circuit Optimization over Multiple Process Corners for Analog Electronic Design Automation. 2023 28th International Conference on Automation and Computing (ICAC), 1–6.

9. Wang, Y., & Li, Y. (2023). Differentiable Rendering Approach to Mesh Optimization for Digital Human Reconstruction. 2023 28th International Conference on Automation and Computing (ICAC), 1–6.

10. Ke, Y., Yu, S., Wang, Z., & Li, Y. (2023). ECSFF: Exploring Efficient Cross-Scale Feature Fusion for Medical Image Segmentation. 2023 28th International Conference on Automation and Computing (ICAC), 1–6.

11. Zhao, Y., Yu, S., & Li, Y. (2023). Software Platform of Reliability Analysis Using an Adaptive Kriging Model. 2023 28th International Conference on Automation and Computing (ICAC), 1–6.

12. Chang, Z., Li, A., & Li, Y. (2023). Intelligent Process Control with Uninformative Data. 2023 28th International Conference on Automation and Computing (ICAC), 1–6.

6. 研究背景及技术路线

7. 应用方向

8. 学生活动

9. 联系方式

团队联系人：袁家声

邮箱：J.S.Yuan@i4AI.org