Jian Cheng Wong

38 papers A* 1B 2C 1Journal 25Unranked 9

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`	Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization. CoRR Haoran Yin, Shuaiqun Pan, Zhao Wei, Jian Cheng Wong, Yew-Soon Ong, Anna V. Kononova, Thomas Bäck, Niki van Stein
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`	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`	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	J	`jnl`	Data-driven surrogate modelling of residual stresses in Laser Powder-Bed Fusion. Int. J. Comput. Integr. Manuf. Lucas Lestandi, Jian Cheng Wong, Guoying Dong, Shemuel Joash Kuehsamy, Jakub Mikula, Guglielmo Vastola, Umesh Kizhakkinan, C. S. Ford, David W. Rosen, My Ha Dao, Mark Hyunpong Jhon
2024	—	`conf`	Differentiable Hash Encoding for Physics-Informed Neural Networks. CAI Ge Jin, Deyou Wang, Jian Cheng Wong, Shipeng Li
2024	J	`jnl`	Fourier warm start for physics-informed neural networks. Eng. Appl. Artif. Intell. Ge Jin, Jian Cheng Wong, Abhishek Gupta, Shipeng Li, 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	J	`jnl`	Learning in Sinusoidal Spaces With Physics-Informed Neural Networks. IEEE Trans. Artif. Intell. Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Yew-Soon Ong
2024	—	`conf`	Soft Constraint in Local Structure Approximation-PINN. CAI Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao
2024	J	`jnl`	Tailoring Generative Adversarial Networks for Smooth Airfoil Design. CoRR Joyjit Chattoraj, Jian Cheng Wong, Zhang Zexuan, Manna Dai, Yingzhi Xia, Li Jichao, Xinxing Xu, Chin Chun Ooi, Yang Feng, My Ha Dao, Yong Liu
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	J	`jnl`	Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design. CoRR Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj, Lucas Lestandi, Guoying Dong, Umesh Kizhakkinan, David William Rosen, Mark Hyunpong Jhon, My Ha Dao
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
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	—	`conf`	FastFlow: AI for Fast Urban Wind Velocity Prediction. ICDM (Workshops) Shi Jer Low, Venugopalan S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin K. W. Yeoh, Chin Chun Ooi
2022	J	`jnl`	FastFlow: AI for Fast Urban Wind Velocity Prediction. CoRR Shi Jer Low, Venugopalan S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin K. W. Yeoh, Chin Chun Ooi
2022	—	`conf`	Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design. SSCI Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj, Lucas Lestandi, Guoying Dong, Umesh Kizhakkinan, David William Rosen, Mark Hyunpong Jhon, My Ha Dao
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`	Can Transfer Neuroevolution Tractably Solve Your Differential Equations? IEEE Comput. Intell. Mag. Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong
2021	J	`jnl`	Can Transfer Neuroevolution Tractably Solve Your Differential Equations? CoRR Jian Cheng Wong, Abhishek Gupta, 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`	Learning in Sinusoidal Spaces with Physics-Informed Neural Networks. CoRR Jian Cheng Wong, Chinchun Ooi, Abhishek Gupta, Yew-Soon Ong
2015	—	`conf`	Reducing False Arrhythmia Alarms in the ICU. CinC Soo Kng Teo, Jian Cheng Wong, Bo Yang, Feng Yang, Ling Feng, Toon Wei Lim, Yi Su
2011	C	`conf`	Comparing the Macroeconomic Responses of US and Japan through Time Series Segmentation. IC3K Jian Cheng Wong, Gladys Hui Ting Lee, Yiting Zhang, Woei Shyr Yim, Robert Paulo Fornia, Danny Yuan Xu, Chong Eu Lee, Jun Liang Kok, Siew Ann Cheong
2011	—	`conf`	Time Series Segmentation as a Discovery Tool - A Case Study of the US and Japanese Financial Markets. KDIR Jian Cheng Wong, Gladys Hui Ting Lee, Yiting Zhang, Woei Shyr Yim, Robert Paulo Fornia, Danny Yuan Xu, Jun Liang Kok, Siew Ann Cheong