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ORCIDJian Cheng Wong
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2020 – today
- 2024
[j4]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: 107887 (2024)- [j3]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): 685-707 (2024) - [j2]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): 985-1000 (2024) - [c10]Chin Chun Ooi, Anran Huang, Zhao Wei, Shiyao Qin, Jian Cheng Wong, Pao-Hsiung Chiu, My Ha Dao:
Importance of Nyquist-Shannon Sampling in Training of Physics-Informed Neural Networks. IJCNN 2024: 1-8 - [i12]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 abs/2404.11816 (2024) - 2023
- [c9]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: 2144-2151 - [c8]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: 1-10 - [i11]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 abs/2302.00557 (2023) - [i10]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 abs/2302.01518 (2023) - [i9]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 abs/2312.03243 (2023) - 2022
- [c7]Shi Jer Low, Venugopalan S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin K. W. Yeoh, Chin Chun Ooi:
FastFlow: AI for Fast Urban Wind Velocity Prediction. ICDM (Workshops) 2022: 147-154 - [c6]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: 1-7 - [c5]Jordon Kho, Winston Koh, Jian Cheng Wong, Pao-Hsiung Chiu, Chin Chun Ooi:
Design of Turing Systems with Physics-Informed Neural Networks. SSCI 2022: 1180-1186 - [c4]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: 1469-1475 - [i8]Shi Jer Low, Venugopalan S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin K. W. Yeoh, Chin Chun Ooi:
FastFlow: AI for Fast Urban Wind Velocity Prediction. CoRR abs/2211.12035 (2022) - [i7]Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Da:
Robustness of Physics-Informed Neural Networks to Noise in Sensor Data. CoRR abs/2211.12042 (2022) - [i6]Jordon Kho, Winston Koh, Jian Cheng Wong, Pao-Hsiung Chiu, Chin Chun Ooi:
Design of Turing Systems with Physics-Informed Neural Networks. CoRR abs/2211.13464 (2022) - [i5]Nicholas Wei Yong Sung, 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 abs/2212.07624 (2022) - 2021
- [j1]Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong:
Can Transfer Neuroevolution Tractably Solve Your Differential Equations? IEEE Comput. Intell. Mag. 16(2): 14-30 (2021) - [i4]Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong:
Can Transfer Neuroevolution Tractably Solve Your Differential Equations? CoRR abs/2101.01998 (2021) - [i3]Jian Cheng Wong, Chinchun Ooi, Pao-Hsiung Chiu, My Ha Dao:
Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks. CoRR abs/2105.01838 (2021) - [i2]Jian Cheng Wong, Chinchun Ooi, Abhishek Gupta, Yew-Soon Ong:
Learning in Sinusoidal Spaces with Physics-Informed Neural Networks. CoRR abs/2109.09338 (2021) - [i1]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 abs/2110.15832 (2021)
2010 – 2019
- 2015
- [c3]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: 1177-1180 - 2011
- [c2]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: 52-63 - [c1]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: 79-93
Coauthor Index
aka: Chinchun Ooi
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last updated on 2024-10-30 21:35 CET by the dblp team
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