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 (KDIR, 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 (IC3K, 2011)

Reducing False Arrhythmia Alarms in the ICU. - Soo Kng Teo; Jian Cheng Wong; Bo Yang; Feng Yang 011; Ling Feng; Toon Wei Lim; Yi Su 001 (CinC, 2015)

Can Transfer Neuroevolution Tractably Solve Your Differential Equations? - Jian Cheng Wong; Abhishek Gupta 001; Yew-Soon Ong (IEEE Comput. Intell. Mag., 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-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)

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 (ICDM (Workshops), 2022)

Design of Turing Systems with Physics-Informed Neural Networks. - Jordon Kho; Winston Koh; Jian Cheng Wong; Pao-Hsiung Chiu; Chin Chun Ooi (SSCI, 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 (SSCI, 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 (SSCI, 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)

JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results. - Nicholas Wei Yong Sung; Jian Cheng Wong; Pao-Hsiung Chiu; Abhishek Gupta 001; Chinchun Ooi; Yew-Soon Ong (CoRR, 2022)

Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results. - Nicholas Sung; Jian Cheng Wong; Chin Chun Ooi; Abhishek Gupta 001; Pao-Hsiung Chiu; Yew-Soon Ong (GECCO Companion, 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 (IJCNN, 2023)

Generalizable Neural Physics Solvers by Baldwinian Evolution. - Jian Cheng Wong; Chin Chun Ooi; Abhishek Gupta 001; Pao-Hsiung Chiu; Joshua Shao Zheng Low; My Ha Dao; Yew-Soon Ong (CoRR, 2023)

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 (IJCNN, 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 026 (CoRR, 2024)

Fourier warm start for physics-informed neural networks. - Ge Jin; Jian Cheng Wong; Abhishek Gupta 001; Shipeng Li; Yew-Soon Ong (Eng. Appl. Artif. Intell., 2024)

Learning in Sinusoidal Spaces With Physics-Informed Neural Networks. - Jian Cheng Wong; Chin Chun Ooi; Abhishek Gupta 001; Yew-Soon Ong (IEEE Trans. Artif. Intell., 2024)

Data-driven surrogate modelling of residual stresses in Laser Powder-Bed Fusion. - 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 (Int. J. Comput. Integr. Manuf., 2024)

Physics-Informed Neuro-Evolution (PINE): A Survey and Prospects. - Jian Cheng Wong; Abhishek Gupta 001; Chin Chun Ooi; Pao-Hsiung Chiu; Jiao Liu; Yew-Soon Ong (CoRR, 2025)

Evolvable Conditional Diffusion. - Zhao Wei; Chin Chun Ooi; Abhishek Gupta 001; Jian Cheng Wong; Pao-Hsiung Chiu; Sheares Xue Wen Toh; Yew-Soon Ong (CoRR, 2025)