Ruimeng Hu - RankMe

40 papers A* 2Journal 33Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Convergence Analysis of PINNs for Fractional Diffusion Equations in Bounded Domains. CoRR Elie Abdo, Lihui Chai, Ruimeng Hu, Xu Yang
2025	J	`jnl`	Finite-Agent Stochastic Differential Games on Large Graphs: II. Graph-Based Architectures. CoRR Ruimeng Hu, Jihao Long, Haosheng Zhou
2025	—	`conf`	Integrating Sequential Hypothesis Testing into Adversarial Games: A Sun Zi-Inspired Framework. CDC Haosheng Zhou, Daniel Ralston, Xu Yang, Ruimeng Hu
2025	J	`jnl`	Learning Mean-Field Games through Mean-Field Actor-Critic Flow. CoRR Mo Zhou, Haosheng Zhou, Ruimeng Hu
2025	J	`jnl`	Multiagent Relative Investment Games in a Jump Diffusion Market with Deep Reinforcement Learning Algorithm. SIAM J. Financial Math. Liwei Lu, Ruimeng Hu, Xu Yang, Yi Zhu
2025	J	`jnl`	Regularization by Noise for the Inviscid Primitive Equations. J. Nonlinear Sci. Ruimeng Hu, Quyuan Lin, Rongchang Liu
2024	J	`jnl`	Accuracy Analysis of Physics-Informed Neural Networks for Approximating the Critical SQG Equation. CoRR Elie Abdo, Ruimeng Hu, Quyuan Lin
2024	J	`jnl`	Error estimates of physics-informed neural networks for approximating Boltzmann equation. CoRR Elie Abdo, Lihui Chai, Ruimeng Hu, Xu Yang
2024	J	`jnl`	Learning High-Dimensional McKean-Vlasov Forward-Backward Stochastic Differential Equations with General Distribution Dependence. SIAM J. Numer. Anal. Jiequn Han, Ruimeng Hu, Jihao Long
2023	J	`jnl`	A Deep Learning Analysis of Climate Change, Innovation, and Uncertainty. CoRR Michael Barnett, William Brock, Lars Peter Hansen, Ruimeng Hu, Joseph Huang
2023	J	`jnl`	Convergence of the Backward Deep BSDE Method with Applications to Optimal Stopping Problems. SIAM J. Financial Math. Chengfan Gao, Siping Gao, Ruimeng Hu, Zimu Zhu
2023	J	`jnl`	Deep Reinforcement Learning for Infinite Horizon Mean Field Problems in Continuous Spaces. CoRR Andrea Angiuli, Jean-Pierre Fouque, Ruimeng Hu, Alan Raydan
2023	A*	`conf`	Directed Chain Generative Adversarial Networks. ICML Ming Min, Ruimeng Hu, Tomoyuki Ichiba
2023	J	`jnl`	Directed Chain Generative Adversarial Networks. CoRR Ming Min, Ruimeng Hu, Tomoyuki Ichiba
2023	J	`jnl`	Recent Developments in Machine Learning Methods for Stochastic Control and Games. CoRR Ruimeng Hu, Mathieu Laurière
2023	J	`jnl`	Stochastic Delay Differential Games: Financial Modeling and Machine Learning Algorithms. CoRR Robert Balkin, Héctor D. Ceniceros, Ruimeng Hu
2022	—	`ed.`	3rd ACM International Conference on AI in Finance, ICAIF 2022, New York, NY, USA, November 2-4, 2022 ICAIF Daniele Magazzeni, Senthil Kumar, Rahul Savani, Renyuan Xu, Carmine Ventre, Blanka Horvath, Ruimeng Hu, Tucker Balch, Francesca Toni
2022	J	`jnl`	Convergence of the Backward Deep BSDE Method with Applications to Optimal Stopping Problems. CoRR Chengfan Gao, Siping Gao, Ruimeng Hu, Zimu Zhu
2022	J	`jnl`	Higher-Order Error estimates for physics-informed neural networks approximating the primitive equations. CoRR Ruimeng Hu, Quyuan Lin, Alan Raydan, Sui Tang
2022	J	`jnl`	Learning High-Dimensional McKean-Vlasov Forward-Backward Stochastic Differential Equations with General Distribution Dependence. CoRR Jiequn Han, Ruimeng Hu, Jihao Long
2022	J	`jnl`	Pandemic Control, Game Theory and Machine Learning. CoRR Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros
2022	J	`jnl`	Sub- and Supersolution Approach to Accuracy Analysis of Portfolio Optimization Asymptotics in Multiscale Stochastic Factor Markets. SIAM J. Financial Math. Jean-Pierre Fouque, Ruimeng Hu, Ronnie Sircar
2021	J	`jnl`	A Class of Dimensionality-free Metrics for the Convergence of Empirical Measures. CoRR Jiequn Han, Ruimeng Hu, Jihao Long
2021	—	`conf`	Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm. MSML Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros
2021	J	`jnl`	Recurrent Neural Networks for Stochastic Control Problems with Delay. CoRR Jiequn Han, Ruimeng Hu
2021	J	`jnl`	Recurrent neural networks for stochastic control problems with delay. Math. Control. Signals Syst. Jiequn Han, Ruimeng Hu
2021	A*	`conf`	Signatured Deep Fictitious Play for Mean Field Games with Common Noise. ICML Ming Min, Ruimeng Hu
2021	J	`jnl`	Signatured Deep Fictitious Play for Mean Field Games with Common Noise. CoRR Ming Min, Ruimeng Hu
2020	J	`jnl`	Convergence of Deep Fictitious Play for Stochastic Differential Games. CoRR Jiequn Han, Ruimeng Hu, Jihao Long
2020	—	`conf`	Deep Fictitious Play for Finding Markovian Nash Equilibrium in Multi-Agent Games. MSML Jiequn Han, Ruimeng Hu
2020	J	`jnl`	Multiscale Asymptotic Analysis for Portfolio Optimization under Stochastic Environment. Multiscale Model. Simul. Jean-Pierre Fouque, Ruimeng Hu
2020	J	`jnl`	Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm. CoRR Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros
2019	J	`jnl`	Deep Fictitious Play for Finding Markovian Nash Equilibrium in Multi-Agent Games. CoRR Jiequn Han, Ruimeng Hu
2019	J	`jnl`	Deep Fictitious Play for Stochastic Differential Games. CoRR Ruimeng Hu
2019	J	`jnl`	Deep Learning for Ranking Response Surfaces with Applications to Optimal Stopping Problems. CoRR Ruimeng Hu
2018	—	`conf`	Asymptotic Optimal Portfolio in Fast Mean-Reverting Stochastic Environments. CDC Ruimeng Hu
2018	J	`jnl`	Optimal Portfolio under Fast Mean-Reverting Fractional Stochastic Environment. SIAM J. Financial Math. Jean-Pierre Fouque, Ruimeng Hu
2018	J	`jnl`	Systemic risk and optimal fee for central clearing counterparty under partial netting. Oper. Res. Lett. Zhenyu Cui, Qi Feng, Ruimeng Hu, Bin Zou
2017	J	`jnl`	Asymptotic Optimal Strategy for Portfolio Optimization in a Slowly Varying Stochastic Environment. SIAM J. Control. Optim. Jean-Pierre Fouque, Ruimeng Hu
2017	J	`jnl`	Sequential Design for Ranking Response Surfaces. SIAM/ASA J. Uncertain. Quantification Ruimeng Hu, Mike Ludkovski