Jian Cheng Wong

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 22

Top Topics

Differential Equations

Top Venues

Eng. Appl. Artif. Intell.

IEEE Comput. Intell. Mag.

Publications

Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Yew-Soon Ong
Learning in Sinusoidal Spaces With Physics-Informed Neural Networks. IEEE Trans. Artif. Intell. 5 (3) (2024)
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
Tailoring Generative Adversarial Networks for Smooth Airfoil Design. CoRR (2024)
Ge Jin, Jian Cheng Wong, Abhishek Gupta, Shipeng Li, Yew-Soon Ong
Fourier warm start for physics-informed neural networks. Eng. Appl. Artif. Intell. 132 (2024)
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
Data-driven surrogate modelling of residual stresses in Laser Powder-Bed Fusion. Int. J. Comput. Integr. Manuf. 37 (6) (2024)
Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. IJCNN (2023)
Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj, Lucas Lestandi, Guoying Dong, Umesh Kizhakkinan, David William Rosen, Mark Hyunpong Jhon, My Ha Dao
Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design. CoRR (2023)
Nicholas Sung, Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong
Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results. GECCO Companion (2023)
Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. CoRR (2023)
Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Joshua Shao Zheng Low, My Ha Dao, Yew-Soon Ong
Generalizable Neural Physics Solvers by Baldwinian Evolution. CoRR (2023)
Shi Jer Low, Venugopalan S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin Yeoh, Chin Chun Ooi
FastFlow: AI for Fast Urban Wind Velocity Prediction. ICDM (Workshops) (2022)
Nicholas Sung Wei Yong, Jian Cheng Wong, Pao-Hsiung Chiu, Abhishek Gupta, Chinchun Ooi, Yew-Soon Ong
JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results. CoRR (2022)
Jordon Kho, Winston Koh, Jian Cheng Wong, Pao-Hsiung Chiu, Chin Chun Ooi
Design of Turing Systems with Physics-Informed Neural Networks. CoRR (2022)
Zhong Liang Ou Yang, Yang Jiang, Jian Cheng Wong, Pao-Hsiung Chiu, Weijiang Zhao, My Ha Dao, Chin Chun Ooi
Physics Compliance as a Metric for Neural Network Uncertainty. SSCI (2022)
Jordon Kho, Winston Koh, Jian Cheng Wong, Pao-Hsiung Chiu, Chin Chun Ooi
Design of Turing Systems with Physics-Informed Neural Networks. SSCI (2022)
Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Da
Robustness of Physics-Informed Neural Networks to Noise in Sensor Data. CoRR (2022)
Shi Jer Low, Venugopalan S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin Yeoh, Chin Chun Ooi
FastFlow: AI for Fast Urban Wind Velocity Prediction. CoRR (2022)
Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj, Lucas Lestandi, Guoying Dong, Umesh Kizhakkinan, David William Rosen, Mark Hyunpong Jhon, My Ha Dao
Graph Neural Network Based Surrogate Model of Physics Simulations for Geometry Design. SSCI (2022)
Jian Cheng Wong, Chinchun Ooi, Pao-Hsiung Chiu, My Ha Dao
Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks. CoRR (2021)
Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong
Can Transfer Neuroevolution Tractably Solve Your Differential Equations? IEEE Comput. Intell. Mag. 16 (2) (2021)
Jian Cheng Wong, Chinchun Ooi, Abhishek Gupta, Yew-Soon Ong
Learning in Sinusoidal Spaces with Physics-Informed Neural Networks. CoRR (2021)
Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong
Can Transfer Neuroevolution Tractably Solve Your Differential Equations? CoRR (2021)
Pao-Hsiung Chiu, Jian Cheng Wong, Chinchun Ooi, My Ha Dao, Yew-Soon Ong
CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method. CoRR (2021)
Soo Kng Teo, Jian Cheng Wong, Bo Yang, Feng Yang, Ling Feng, Toon Wei Lim, Yi Su
Reducing False Arrhythmia Alarms in the ICU. CinC (2015)
Jian Cheng Wong, Gladys Hui Ting Lee, Yiting Zhang, Woei Shyr Yim, Robert Paulo Fornia, Danny Yuan Xu, Jun Liang Kok, Siew Ann Cheong
Time Series Segmentation as a Discovery Tool - A Case Study of the US and Japanese Financial Markets. KDIR (2011)
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
Comparing the Macroeconomic Responses of US and Japan through Time Series Segmentation. IC3K (2011)