Pao-Hsiung Chiu

37 papers A* 1B 2Journal 29Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bridging Computational Fluid Dynamics Algorithm and Physics-Informed Learning: SIMPLE-PINN for Incompressible Navier-Stokes Equations. CoRR Chang Wei, Yuchen Fan, Chin Chun Ooi, Jian Cheng Wong, Heyang Wang, Pao-Hsiung Chiu
2026	J	`jnl`	Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities. IEEE Comput. Intell. Mag. Jian Cheng Wong, Abhishek Gupta, Chin Chun Ooi, Pao-Hsiung Chiu, Jiao Liu, Yew-Soon Ong
2026	J	`jnl`	FFV-PINN: A Fast Physics-Informed Neural Network with Simplified Finite Volume Discretization and Residual Correction. CoRR Chang Wei, Yuchen Fan, Jian Cheng Wong, Chin Chun Ooi, Heyang Wang, Pao-Hsiung Chiu
2026	J	`jnl`	Out-of-Distribution Generalization for Neural Physics Solvers. CoRR Zhao Wei, Chin Chun Ooi, Jian Cheng Wong, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong
2026	J	`jnl`	PINEAPPLE: Physics-Informed Neuro-Evolution Algorithm for Prognostic Parameter Inference in Lithium-Ion Battery Electrodes. CoRR Karkulali Pugalenthi, Jian Cheng Wong, Qizheng Yang, Pao-Hsiung Chiu, My Ha Dao, Nagarajan Raghavan, Chinchun Ooi
2026	J	`jnl`	Physics-Informed Uncertainty Enables Reliable AI-driven Design. CoRR Tingkai Xue, Chin Chun Ooi, Yang Jiang, Pham Luu Trung Duong, Pao-Hsiung Chiu, Weijiang Zhao, Nagarajan Raghavan, My Ha Dao
2026	J	`jnl`	Scale-PINN: Learning Efficient Physics-Informed Neural Networks Through Sequential Correction. CoRR Pao-Hsiung Chiu, Jian Cheng Wong, Chin Chun Ooi, Chang Wei, Yuchen Fan, Yew-Soon Ong
2025	A*	`conf`	Evolvable Conditional Diffusion. IJCAI Zhao Wei, Chin Chun Ooi, Abhishek Gupta, Jian Cheng Wong, Pao-Hsiung Chiu, Sheares Xue Wen Toh, Yew-Soon Ong
2025	J	`jnl`	Evolvable Conditional Diffusion. CoRR Zhao Wei, Chin Chun Ooi, Abhishek Gupta, Jian Cheng Wong, Pao-Hsiung Chiu, Sheares Xue Wen Toh, Yew-Soon Ong
2025	J	`jnl`	Multi-level datasets training method in Physics-Informed Neural Networks. CoRR Yao-Hsuan Tsai, Hsiao-Tung Juan, Pao-Hsiung Chiu, Chao-An Lin
2025	J	`jnl`	Physics-Informed Neuro-Evolution (PINE): A Survey and Prospects. CoRR Jian Cheng Wong, Abhishek Gupta, Chin Chun Ooi, Pao-Hsiung Chiu, Jiao Liu, Yew-Soon Ong
2024	B	`conf`	Importance of Nyquist-Shannon Sampling in Training of Physics-Informed Neural Networks. IJCNN Chin Chun Ooi, Anran Huang, Zhao Wei, Shiyao Qin, Jian Cheng Wong, Pao-Hsiung Chiu, My Ha Dao
2024	—	`conf`	Soft Constraint in Local Structure Approximation-PINN. CAI Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao
2023	J	`jnl`	Generalizable Neural Physics Solvers by Baldwinian Evolution. CoRR Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Joshua Shao Zheng Low, My Ha Dao, Yew-Soon Ong
2023	B	`conf`	LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. IJCNN Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong
2023	J	`jnl`	LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. CoRR Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong
2023	—	`conf`	Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results. GECCO Companion Nicholas Sung, Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong
2023	J	`jnl`	cDFIB: A convolutional direct forcing immersed boundary method for solving incompressible flows with time-varying geometries. J. Comput. Phys. Pao-Hsiung Chiu
2022	—	`conf`	Design of Turing Systems with Physics-Informed Neural Networks. SSCI Jordon Kho, Winston Koh, Jian Cheng Wong, Pao-Hsiung Chiu, Chin Chun Ooi
2022	J	`jnl`	Design of Turing Systems with Physics-Informed Neural Networks. CoRR Jordon Kho, Winston Koh, Jian Cheng Wong, Pao-Hsiung Chiu, Chin Chun Ooi
2022	J	`jnl`	JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results. CoRR Nicholas Wei Yong Sung, Jian Cheng Wong, Pao-Hsiung Chiu, Abhishek Gupta, Chinchun Ooi, Yew-Soon Ong
2022	—	`conf`	Physics Compliance as a Metric for Neural Network Uncertainty. SSCI Zhong Liang Ou Yang, Yang Jiang, Jian Cheng Wong, Pao-Hsiung Chiu, Weijiang Zhao, My Ha Dao, Chin Chun Ooi
2022	J	`jnl`	Robustness of Physics-Informed Neural Networks to Noise in Sensor Data. CoRR Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Da
2021	J	`jnl`	CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method. CoRR Pao-Hsiung Chiu, Jian Cheng Wong, Chinchun Ooi, My Ha Dao, Yew-Soon Ong
2021	J	`jnl`	Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks. CoRR Jian Cheng Wong, Chinchun Ooi, Pao-Hsiung Chiu, My Ha Dao
2021	J	`jnl`	U-Net-Based Surrogate Model For Evaluation of Microfluidic Channels. CoRR Quang Tuyen Le, Pao-Hsiung Chiu, Chinchun Ooi
2019	J	`jnl`	A coupled phase field framework for solving incompressible two-phase flows. J. Comput. Phys. Pao-Hsiung Chiu
2014	—	`conf`	Milkcrown simulation using OpenACC accelerated framework. SIGGRAPH ASIA Posters Chih-Wen Chang, Chia-Chen Kuo, Pao-Hsiung Chiu
2011	J	`jnl`	A conservative phase field method for solving incompressible two-phase flows. J. Comput. Phys. Pao-Hsiung Chiu, Yan-Ting Lin
2011	J	`jnl`	On the development of a high-order compact scheme for exhibiting the switching and dissipative solution natures in the Camassa-Holm equation. J. Comput. Phys. Tony W. H. Sheu, Pao-Hsiung Chiu, Ching-Hao Yu
2010	J	`jnl`	A differentially interpolated direct forcing immersed boundary method for predicting incompressible Navier-Stokes equations in time-varying complex geometries. J. Comput. Phys. Pao-Hsiung Chiu, Reui-Kuo Lin, Tony W. H. Sheu
2010	J	`jnl`	A sixth-order dual preserving algorithm for the Camassa-Holm equation. J. Comput. Appl. Math. Pao-Hsiung Chiu, Long Lee, Tony W. H. Sheu
2010	J	`jnl`	Viscous and inviscid regularizations in a class of evolutionary partial differential equations. J. Comput. Phys. Roberto Camassa, Pao-Hsiung Chiu, Long Lee, Tony W. H. Sheu
2009	J	`jnl`	A dispersion-relation-preserving algorithm for a nonlinear shallow-water wave equation. J. Comput. Phys. Pao-Hsiung Chiu, Long Lee, Tony W. H. Sheu
2009	J	`jnl`	Development of a dispersively accurate conservative level set scheme for capturing interface in two-phase flows. J. Comput. Phys. Tony W. H. Sheu, Ching-Hao Yu, Pao-Hsiung Chiu
2009	J	`jnl`	On the development of a dispersion-relation-preserving dual-compact upwind scheme for convection-diffusion equation. J. Comput. Phys. Pao-Hsiung Chiu, Tony W. H. Sheu
2008	J	`jnl`	An effective explicit pressure gradient scheme implemented in the two-level non-staggered grids for incompressible Navier-Stokes equations. J. Comput. Phys. Pao-Hsiung Chiu, Tony W. H. Sheu, Reui-Kuo Lin