Jian Cheng Wong

According to our database, Jian Cheng Wong authored at least 20 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Data-driven surrogate modelling of residual stresses in Laser Powder-Bed Fusion.

Lucas Lestandi, Jian Cheng Wong, Guoying Dong, Shemuel Joash Kuehsamy, J. Mikula, Guglielmo Vastola, Umesh Kizhakkinan, C. S. Ford, David William Rosen, My Ha Dao, Mark Hyunpong Jhon

Int. J. Comput. Integr. Manuf., June, 2024

Learning in Sinusoidal Spaces With Physics-Informed Neural Networks.

Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Yew-Soon Ong

IEEE Trans. Artif. Intell., March, 2024

Fourier warm start for physics-informed neural networks.

Ge Jin, Jian Cheng Wong, Abhishek Gupta, Shipeng Li, Yew-Soon Ong

Eng. Appl. Artif. Intell., 2024

Tailoring Generative Adversarial Networks for Smooth Airfoil Design.

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

CoRR, 2024

Importance of Nyquist-Shannon Sampling in Training of Physics-Informed Neural Networks.

Chin Chun Ooi, Anran Huang, Zhao Wei, Shiyao Qin, Jian Cheng Wong, Pao-Hsiung Chiu, My Ha Dao

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Generalizable Neural Physics Solvers by Baldwinian Evolution.

Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Joshua Shao Zheng Low, My Ha Dao, Yew-Soon Ong

CoRR, 2023

LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry.

Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong

Proceedings of the International Joint Conference on Neural Networks, 2023

Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results.

Nicholas Sung, Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results.

Nicholas Wei Yong Sung, Jian Cheng Wong, Pao-Hsiung Chiu, Abhishek Gupta, Chinchun Ooi, Yew-Soon Ong

CoRR, 2022

Robustness of Physics-Informed Neural Networks to Noise in Sensor Data.

Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Da

CoRR, 2022

Physics Compliance as a Metric for Neural Network Uncertainty.

Zhong Liang Ou Yang, Yang Jiang, Jian Cheng Wong, Pao-Hsiung Chiu, Weijiang Zhao, My Ha Dao, Chin Chun Ooi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design.

Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj, Lucas Lestandi, Guoying Dong, Umesh Kizhakkinan, David William Rosen, Mark Hyunpong Jhon, My Ha Dao

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Design of Turing Systems with Physics-Informed Neural Networks.

Jordon Kho, Winston Koh, Jian Cheng Wong, Pao-Hsiung Chiu, Chin Chun Ooi

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

FastFlow: AI for Fast Urban Wind Velocity Prediction.

Shi Jer Low, Venugopalan S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin K. W. Yeoh, Chin Chun Ooi

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method.

Pao-Hsiung Chiu, Jian Cheng Wong, Chinchun Ooi, My Ha Dao, Yew-Soon Ong

CoRR, 2021

Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks.

Jian Cheng Wong, Chinchun Ooi, Pao-Hsiung Chiu, My Ha Dao

CoRR, 2021

Can Transfer Neuroevolution Tractably Solve Your Differential Equations?

Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong

IEEE Comput. Intell. Mag., 2021

2015

Reducing False Arrhythmia Alarms in the ICU.

Soo Kng Teo, Jian Cheng Wong, Bo Yang, Feng Yang, Ling Feng, Toon Wei Lim, Yi Su

Proceedings of the Computing in Cardiology, 2015

2011

Comparing the Macroeconomic Responses of US and Japan through Time Series Segmentation.

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

Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2011

Time Series Segmentation as a Discovery Tool - A Case Study of the US and Japanese Financial Markets.

Jian Cheng Wong, Gladys Hui Ting Lee, Yiting Zhang, Woei Shyr Yim, Robert Paulo Fornia, Danny Yuan Xu, Jun Liang Kok, Siew Ann Cheong

Proceedings of the KDIR 2011, 2011