CEBoosting: Online Sparse Identification of Dynamical Systems with Regime Switching by Causation Entropy Boosting. - Chuanqi Chen; Nan Chen 004; Jinlong Wu (CoRR, 2023)

CharacterChat: Learning towards Conversational AI with Personalized Social Support. - Quan Tu; Chuanqi Chen; Jinpeng Li 003; Yanran Li; Shuo Shang; Dongyan Zhao 001; Ran Wang; Rui Yan 001 (CoRR, 2023)

Operator Learning for Continuous Spatial-Temporal Model with A Hybrid Optimization Scheme. - Chuanqi Chen; Jinlong Wu (CoRR, 2023)

CGNSDE: Conditional Gaussian neural stochastic differential equation for modeling complex systems and data assimilation. - Chuanqi Chen; Nan Chen 004; Jinlong Wu (Comput. Phys. Commun., 2024)

CGKN: A deep learning framework for modeling complex dynamical systems and efficient data assimilation. - Chuanqi Chen; Nan Chen; Yinling Zhang; Jin-Long Wu (J. Comput. Phys., 2025)

Neural dynamical operator: Continuous spatial-temporal model with gradient-based and derivative-free optimization methods. - Chuanqi Chen; Jin-Long Wu (J. Comput. Phys., 2025)

Data-driven stochastic closure modeling via conditional diffusion model and neural operator. - Xinghao Dong; Chuanqi Chen; Jin-Long Wu (J. Comput. Phys., 2025)

Active Learning of Model Discrepancy with Bayesian Experimental Design. - Huchen Yang; Chuanqi Chen; Jin-Long Wu (CoRR, 2025)

Modeling Partially Observed Nonlinear Dynamical Systems and Efficient Data Assimilation via Discrete-Time Conditional Gaussian Koopman Network. - Chuanqi Chen; Zhongrui Wang; Nan Chen; Jin-Long Wu (CoRR, 2025)