Topology algorithm based on link maintenance time for mobile ad hoc using directional antennas. - Jin-Fu Lin; Peng Bai; Jian-Xun Wang 001; Ying Wang; Tao Wang (Int. J. Wirel. Mob. Comput., 2015)

Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier-Stokes simulations: A data-driven, physics-informed Bayesian approach. - Heng Xiao; Jinlong Wu; Jian-Xun Wang 001; Rui Sun 002; Christopher J. Roy (J. Comput. Phys., 2016)

Prediction of Reynolds Stresses in High-Mach-Number Turbulent Boundary Layers using Physics-Informed Machine Learning. - Jian-Xun Wang 001; Junji Huang; Lian Duan; Heng Xiao (CoRR, 2018)

Adding Constraints to Bayesian Inverse Problems. - Jiacheng Wu; Jian-Xun Wang 001; Shawn C. Shadden (AAAI, 2019)

Non-intrusive model reduction of large-scale, nonlinear dynamical systems using deep learning. - Han Gao 005; Jian-Xun Wang 001; Matthew J. Zahr (CoRR, 2019)

SSR-VFD: Spatial Super-Resolution for Vector Field Data Analysis and Visualization. - Li Guo; Shaojie Ye; Jun Han 010; Hao Zheng 006; Han Gao 005; Danny Z. Chen; Jian-Xun Wang 001; Chaoli Wang 001 (PacificVis, 2020)

A Bi-fidelity Ensemble Kalman Method for PDE-Constrained Inverse Problems. - Han Gao 005; Jian-Xun Wang 001 (CoRR, 2020)

PhyCRNet: Physics-informed Convolutional-Recurrent Network for Solving Spatiotemporal PDEs. - Pu Ren; Chengping Rao; Yang Liu 130; Jian-Xun Wang 001; Hao Sun 002 (CoRR, 2021)

Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems. - Han Gao 005; Matthew J. Zahr; Jian-Xun Wang 001 (CoRR, 2021)

Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control. - Xin-Yang Liu; Jian-Xun Wang 001 (CoRR, 2021)

PhyGeoNet: Physics-informed geometry-adaptive convolutional neural networks for solving parameterized steady-state PDEs on irregular domain. - Han Gao 005; Luning Sun; Jian-Xun Wang 001 (J. Comput. Phys., 2021)

SurfRiver: Flattening Stream Surfaces for Comparative Visualization. - Jun Zhang; Jun Tao 002; Jian-Xun Wang 001; Chaoli Wang 001 (IEEE Trans. Vis. Comput. Graph., 2021)

Predicting Physics in Mesh-reduced Space with Temporal Attention. - Xu Han 012; Han Gao 005; Tobias Pfaff; Jian-Xun Wang 001; Liping Liu 001 (ICLR, 2022)

PatchGT: Transformer Over Non-Trainable Clusters for Learning Graph Representations. - Han Gao 005; Xu Han 012; Jiaoyang Huang; Jian-Xun Wang 001; Liping Liu 001 (LoG, 2022)

Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty. - Luning Sun; Daniel Huang 005; Hao Sun 002; Jian-Xun Wang 001 (NeurIPS, 2022)

Deep learning-based surrogate model for 3-D patient-specific computational fluid dynamics. - Pan Du; Xiaozhi Zhu; Jian-Xun Wang 001 (CoRR, 2022)

Predicting parametric spatiotemporal dynamics by multi-resolution PDE structure-preserved deep learning. - Xin-Yang Liu; Hao Sun 002; Jian-Xun Wang 001 (CoRR, 2022)

Physics-informed Deep Super-resolution for Spatiotemporal Data. - Pu Ren; Chengping Rao; Yang Liu 130; Zihan Ma 002; Qi Wang; Jian-Xun Wang 001; Hao Sun 002 (CoRR, 2022)

Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search. - Fangzheng Sun; Yang Liu 130; Jian-Xun Wang 001; Hao Sun 002 (ICLR, 2023)

Unifying Predictions of Deterministic and Stochastic Physics in Mesh-reduced Space with Sequential Flow Generative Model. - Luning Sun; Xu Han 012; Han Gao 005; Jian-Xun Wang 001; Liping Liu 001 (NeurIPS, 2023)

Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Process. - Deepak Akhare; Zeping Chen; Richard Gulotty; Tengfei Luo; Jian-Xun Wang 001 (CoRR, 2023)

Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation. - Han Gao 005; Xu Han 012; Xiantao Fan; Luning Sun; Li-Ping Liu 001; Lian Duan; Jian-Xun Wang 001 (CoRR, 2023)

An advanced spatio-temporal convolutional recurrent neural network for storm surge predictions. - Ehsan Adeli 003; Luning Sun; Jianxun Wang 007; Alexandros A. Taflanidis (Neural Comput. Appl., 2023)

PhySR: Physics-informed deep super-resolution for spatiotemporal data. - Pu Ren; Chengping Rao; Yang Liu 130; Zihan Ma 002; Qi Wang; Jian-Xun Wang 001; Hao Sun 002 (J. Comput. Phys., 2023)

P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics. - Qi Wang; Pu Ren; Hao Zhou; Xin-Yang Liu; Zhiwen Deng; Yi Zhang; Zeruizhi Cheng; Hongsheng Liu 002; Zidong Wang 010; Jian-Xun Wang 001; Ji-Rong Wen; Hao Sun 002; et al. (NeurIPS, 2024)

DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling. - Deepak Akhare; Tengfei Luo; Jian-Xun Wang 001 (CoRR, 2024)

Asynchronous Parallel Reinforcement Learning for Optimizing Propulsive Performance in Fin Ray Control. - Xin-Yang Liu; Dariush Bodaghi; Qian Xue; Xudong Zheng; Jian-Xun Wang 001 (CoRR, 2024)

P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics. - Qi Wang; Pu Ren; Hao Zhou; Xin-Yang Liu; Zhiwen Deng; Yi Zhang; Ruizhi Chengze; Hongsheng Liu 002; Zidong Wang 010; Jian-Xun Wang 001; Ji-Rong Wen; Hao Sun 002; et al. (CoRR, 2024)

CoNFiLD-inlet: Synthetic Turbulence Inflow Using Generative Latent Diffusion Models with Neural Fields. - Xin-Yang Liu; Meet Hemant Parikh; Xiantao Fan; Pan Du; Qing Wang; Yi-Fan Chen; Jian-Xun Wang 001 (CoRR, 2024)

SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain. - Pu Ren; Chengping Rao; Su Chen; Jian-Xun Wang 001; Hao Sun 002; Yang Liu 130 (Comput. Phys. Commun., 2024)

Differentiable hybrid neural modeling for fluid-structure interaction. - Xiantao Fan; Jian-Xun Wang 001 (J. Comput. Phys., 2024)

Hierarchical Log Bayesian Neural Network for Enhanced Aorta Segmentation. - Delin An; Pan Du; Pengfei Gu; Jian-Xun Wang 001; Chaoli Wang 001 (ISBI, 2025)

AI-Powered Automated Model Construction for Patient-Specific CFD Simulations of Aortic Flows. - Pan Du; Delin An; Chaoli Wang 001; Jian-Xun Wang 001 (CoRR, 2025)

Implicit Neural Differential Model for Spatiotemporal Dynamics. - Deepak Akhare; Pan Du; Tengfei Luo; Jian-Xun Wang 001 (CoRR, 2025)

Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems. - Luning Sun; Xin-Yang Liu; Siyan Zhao; Aditya Grover; Jian-Xun Wang 001; Jayaraman J. Thiagarajan (CoRR, 2025)

Predicting Stress and Damage in Carbon Fiber-Reinforced Composites Deformation Process using Composite U-Net Surrogate Model. - Zeping Chen; Marwa Yacouti; Maryam Shakiba; Jian-Xun Wang 001; Tengfei Luo; Vikas Varshney (CoRR, 2025)

HUG-VAS: A Hierarchical NURBS-Based Generative Model for Aortic Geometry Synthesis and Controllable Editing. - Pan Du; Mingqi Xu; Xiaozhi Zhu; Jian-Xun Wang 001 (CoRR, 2025)

AortaDiff: Volume-Guided Conditional Diffusion Models for Multi-Branch Aortic Surface Generation. - Delin An; Pan Du; Jian-Xun Wang 001; Chaoli Wang 001 (CoRR, 2025)