Can Li

According to our database, Can Li authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Model-Free Reinforcement Learning for Optimal Control of Switched Systems.

Chi Zhang, Can Li, Shaoshuai Mou

IEEE Trans Autom. Sci. Eng., 2026

TalkToAgent: A multi-agent LLM Framework for natural language explanation of reinforcement learning policies.

Haechang Kim, Hao Chen, Can Li, Jong Min Lee

Comput. Chem. Eng., 2026

2025

Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules.

Gonzalo E. Constante-Flores, Hao Chen, Can Li

CoRR, May, 2025

Conformalized prediction of post-fault voltage trajectories using pre-trained and finetuned attention-driven neural operators.

Amirhossein Mollaali, Gabriel Zufferey, Gonzalo Constante-Flores, Christian Moya, Can Li, Meng Yue, Guang Lin

Neural Networks, 2025

FaultExplainer: Leveraging large language models for interpretable fault detection and diagnosis.

Abdullah Khan, Rahul Nahar, Hao Chen, Gonzalo E. Constante-Flores, Can Li

Comput. Chem. Eng., 2025

AC-Network-Informed DC Optimal Power Flow for Electricity Markets.

Gonzalo E. Constante-Flores, André H. Quisaguano, Antonio J. Conejo, Can Li

Proceedings of the 58th Hawaii International Conference on System Sciences, 2025

2024

Diagnosing infeasible optimization problems using large language models.

Hao Chen, Gonzalo E. Constante-Flores, Can Li

INFOR Inf. Syst. Oper. Res., November, 2024

Physics-informed neural networks with hard linear equality constraints.

Hao Chen, Gonzalo E. Constante-Flores, Can Li

Comput. Chem. Eng., 2024