i4AI Ltd

Industry 4.0 Artificial Intelligence – Innovation and Invention Through Machine Intelligence

Publications

J. Li, H. Zhi, Y. Long, W. Liu, Y. Zeng, K. Zhu, S. Yu and Y. Li, “AnalogGym-Opt: An LLM-Oriented Optimization Infrastructure for Analog Circuit Sizing with GRPO,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2026.
J. Liao, C. Cao and Y. Li, “Kolmogorov–Arnold Network-Based Adaptive Control Allocation for Overactuated Systems with Lyapunov-stable Learning,” Engineering Applications of Artificial Intelligence, 2026.
S. He, X. Wang, Z. Chen, J. Liao, B. Wang, J. Xu, X. Guan, S. Yu, and Y. Li, “LLM-Driven Framework for Industrial Design Automation,” Engineering, 2026.
F.Tian, X. Zhang and Y. Li, “Utility Estimation and Quality Evaluation Incentive Mechanism for Federated Learning,” IEEE Transactions on Cloud Computing, 2026.
J. Li, S. He, A. Li, S. Yu and Y. Li, “Multitask Evolution with Problem Reformulation for Global Exploration in Analog Circuit Design,” Advanced Engineering Informatics, 2026.
Y. Yan, S. Wang, J Xiao, H. Deng, C. Ma, J. Zhao and Y. Li, “Multiscale Physics-Embedded Automated Modeling with an Application to Photovoltaic Forecasting,” IEEE Transactions on Industrial Informatics, 2026.
B. Cao, X. Luo, X. Liu and Y. Li, “Comprehensive-Forecast Multiobjective Genetic Programming for Neural Architecture Search,” IEEE Transactions on Evolutionary Computation, 2026.
J. Liao, J. Xu, Y. Sun, M. Tang, S. He, J. Liao, S. Yu, Y. Li and X. Guan, “Automated CAD Modeling Sequence Generation from Text Descriptions via Transformer-Based Large Language Models,” in ACL 2025 (Long Paper).
J. Liao, J. Xu, S. He, Z. Chen, S. Yu and Y. Li, “Autoforma: A large language model-based multi-agent for computer-automated design,” in IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2024.
F. Sun, Y. Ke, Y.-J. Gong and Y. Li, “Transforming GP-CNN Tree Search Into Trainable Architectures for Image Classification,” in IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2024.
S. Yu, Y. Ren, X. Wu, P. Guo and Y. Li, “Dynamic pruning-based Bayesian support vector regression for reliability analysis,” Reliability Engineering & System Safety, 244, 109922, 2024.
J. Li, Y. Zeng, H. Zhi, J. Yang, W. Shan, Y. Li and Y. Li, “Knowledge Transfer Framework for PVT Robustness in Analog Integrated Circuits,” IEEE Transactions on Circuits and Systems I, 2023.
J. Li, H. Zhi, W. Shan, Y. Li, Y. Zeng and Y. Li, “Multi-Task Evolutionary to PVT Knowledge Transfer for Analog Integrated Circuit Optimization,” in IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2023.
Y. Li, “What should “industry 4.0” differ from previous industrial revolutions?,” in 27th International Conference on Automation and Computing (ICAC), 2022.