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Jihao Long
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2020 – today
- 2026
[j4]Jiequn Han
, Wei Hu, Jihao Long, Yue Zhao:
Deep Picard Iteration for High-Dimensional Nonlinear PDEs. SIAM J. Sci. Comput. 48(1): 1- (2026)- 2025
[j3]Wei Hu, Jihao Long, Yaohua Zang
, Weinan E, Jiequn Han
:
Solving optimal control problems of rigid-body dynamics with collisions using the hybrid minimum principle. Commun. Nonlinear Sci. Numer. Simul. 143: 108603 (2025)
[c2]Wei Hu, Yue Zhao, Weinan E, Jiequn Han, Jihao Long:
Learning Free Terminal Time Optimal Closed-loop Control of Manipulators. ACC 2025: 127-133
[i14]Ruimeng Hu, Jihao Long, Haosheng Zhou:
Finite-Agent Stochastic Differential Games on Large Graphs: II. Graph-Based Architectures. CoRR abs/2509.12484 (2025)- 2024
[j2]Jiequn Han
, Ruimeng Hu
, Jihao Long
:
Learning High-Dimensional McKean-Vlasov Forward-Backward Stochastic Differential Equations with General Distribution Dependence. SIAM J. Numer. Anal. 62(1): 1-24 (2024)
[i13]Jihao Long, Xiaojun Peng, Lei Wu:
A Duality Analysis of Kernel Ridge Regression in the Noiseless Regime. CoRR abs/2402.15718 (2024)
[i12]Jiequn Han
, Wei Hu, Jihao Long, Yue Zhao
:
Deep Picard Iteration for High-Dimensional Nonlinear PDEs. CoRR abs/2409.08526 (2024)- 2023
[i11]Jihao Long, Jiequn Han:
Reinforcement Learning with Function Approximation: From Linear to Nonlinear. CoRR abs/2302.09703 (2023)
[i10]Hongrui Chen, Jihao Long, Lei Wu:
A duality framework for generalization analysis of random feature models and two-layer neural networks. CoRR abs/2305.05642 (2023)
[i9]Hongrui Chen, Jihao Long, Lei Wu:
The L∞ Learnability of Reproducing Kernel Hilbert Spaces. CoRR abs/2306.02833 (2023)
[i8]Wei Hu, Yue Zhao
, Weinan E, Jiequn Han
, Jihao Long:
Learning Free Terminal Time Optimal Closed-loop Control of Manipulators. CoRR abs/2311.17749 (2023)- 2022
[j1]Lei Wu, Jihao Long:
A spectral-based analysis of the separation between two-layer neural networks and linear methods. J. Mach. Learn. Res. 23: 119:1-119:34 (2022)
[c1]Yaohua Zang, Jihao Long, Xuanxi Zhang, Wei Hu, Weinan E, Jiequn Han:
A Machine Learning Enhanced Algorithm for the Optimal Landing Problem. MSML 2022: 319-334
[i7]Jiequn Han
, Ruimeng Hu, Jihao Long:
Learning High-Dimensional McKean-Vlasov Forward-Backward Stochastic Differential Equations with General Distribution Dependence. CoRR abs/2204.11924 (2022)- 2021
[i6]Jihao Long, Jiequn Han, Weinan E:
An L2 Analysis of Reinforcement Learning in High Dimensions with Kernel and Neural Network Approximation. CoRR abs/2104.07794 (2021)
[i5]Jiequn Han, Ruimeng Hu, Jihao Long:
A Class of Dimensionality-free Metrics for the Convergence of Empirical Measures. CoRR abs/2104.12036 (2021)
[i4]Jihao Long, Lei Wu:
Linear approximability of two-layer neural networks: A comprehensive analysis based on spectral decay. CoRR abs/2108.04964 (2021)
[i3]Jihao Long, Jiequn Han:
Perturbational Complexity by Distribution Mismatch: A Systematic Analysis of Reinforcement Learning in Reproducing Kernel Hilbert Space. CoRR abs/2111.03469 (2021)- 2020
[i2]Jiequn Han, Ruimeng Hu, Jihao Long:
Convergence of Deep Fictitious Play for Stochastic Differential Games. CoRR abs/2008.05519 (2020)
2010 – 2019
- 2018
[i1]Jiequn Han, Jihao Long:
Convergence of the Deep BSDE Method for Coupled FBSDEs. CoRR abs/1811.01165 (2018)
Coauthor Index

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last updated on 2026-02-05 00:07 CET by the dblp team
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