Lianzi Jiang

14 papers Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A causality- and Frequency-Aware deep learning framework for wave elevation prediction behind floating breakwaters. Expert Syst. Appl. Jianxin Zhang, Lianzi Jiang, Xinyu Han, Xiangrong Wang
2025	J	`jnl`	A Novel Framework for Significant Wave Height Prediction based on Adaptive Feature Extraction Time-Frequency Network. CoRR Jianxin Zhang, Lianzi Jiang, Xinyu Han, Xiangrong Wang
2025	J	`jnl`	A Physics Prior-Guided Dual-Stream Attention Network for Motion Prediction of Elastic Bragg Breakwaters. CoRR Lianzi Jiang, Jianxin Zhang, Xinyu Han, Huanhe Dong, Xiangrong Wang
2025	J	`jnl`	E2E-FANet: A Highly Generalizable Framework for Waves prediction Behind Floating Breakwaters via Exogenous-to-Endogenous Variable Attention. CoRR Jianxin Zhang, Lianzi Jiang, Xinyu Han, Xiangrong Wang, Weinan Huang
2025	J	`jnl`	On the rate of convergence for an α-stable central limit theorem under sublinear expectation. J. Appl. Probab. Mingshang Hu, Lianzi Jiang, Gechun Liang
2025	J	`jnl`	Probabilistic approximation of fully nonlinear second-order PIDEs with convergence rates for the universal robust limit theorem. CoRR Lianzi Jiang, Mingshang Hu, Gechun Liang
2023	J	`jnl`	Convergence rates for Chernoff-type approximations of convex monotone semigroups. CoRR Jonas Blessing, Lianzi Jiang, Michael Kupper, Gechun Liang
2023	J	`jnl`	Error estimates for the robust α-stable central limit theorem under sublinear expectation by discrete approximation method. CoRR Lianzi Jiang
2021	J	`jnl`	A monotone scheme for nonlinear partial integro-differential equations with the convergence rate of α-stable limit theorem under sublinear expectation. CoRR Mingshang Hu, Lianzi Jiang, Gechun Liang
2021	J	`jnl`	Discrete time approximation of fully nonlinear HJB equations via stochastic control problems under the G-expectation framework. CoRR Lianzi Jiang
2020	J	`jnl`	An Effective Discrete Recursive Method for Stochastic Optimal Control Problems. CoRR Mingshang Hu, Lianzi Jiang
2020	J	`jnl`	An Efficient Numerical Method for Forward-Backward Stochastic Differential Equations Driven by G-Brownian motion. CoRR Mingshang Hu, Lianzi Jiang
2019	J	`jnl`	Explicit θ-Schemes for Solving Anticipated Backward Stochastic Differential Equations. CoRR Mingshang Hu, Lianzi Jiang
2019	J	`jnl`	Numerical Schemes for Backward Stochastic Differential Equations Driven by $G$-Brownian motion. CoRR Mingshang Hu, Lianzi Jiang