My Ha Dao - RankMe

23 papers B 2C 1Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
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`	Physics-Informed Uncertainty Enables Reliable AI-driven Design. CoRR Tingkai Xue, Chin Chun Ooi, Yang Jiang, Pham Luu Trung Duong, Pao-Hsiung Chiu, Weijiang Zhao, Nagarajan Raghavan, My Ha Dao
2025	J	`jnl`	An Adaptive Port Technique for Synthesising Rotational Components in Component Modal Synthesis Approaches. CoRR Xiang Zhao, My Ha Dao
2025	J	`jnl`	MDDIP: Efficient single-layer pixel-based metasurface denoising via deep image prior. Knowl. Based Syst. Manna Dai, Yang Jiang, Feng Yang, Joyjit Chattoraj, Yingzhi Xia, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu
2024	J	`jnl`	A Surrogate-Assisted Extended Generative Adversarial Network for Parameter Optimization in Free-Form Metasurface Design. CoRR Manna Dai, Yang Jiang, Feng Yang, Joyjit Chattoraj, Yingzhi Xia, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu
2024	J	`jnl`	A surrogate-assisted extended generative adversarial network for parameter optimization in free-form metasurface design. Neural Networks Manna Dai, Yang Jiang, Feng Yang, Joyjit Chattoraj, Yingzhi Xia, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu
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	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	—	`conf`	Soft Constraint in Local Structure Approximation-PINN. CAI Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao
2024	—	`conf`	TTCR: Accurate TCR-Epitope Binding Affinity Prediction Using Transformers. CAI Manna Dai, Yonghui Wu, Jun Zhou, Zhenzhou Wu, Mengren Man, Linh Le Dinh, Joyjit Chattoraj, Feng Yang, My Ha Dao, Yong Liu, Rick Siow Mong Goh
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
2022	C	`conf`	Airfoil Inverse Design using Conditional Generative Adversarial Networks. ICARCV Xavier Tan, Manna Dai, Joyjit Chattoraj, Yong Liu, Xinxing Xu, My Ha Dao, Feng Yang
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	—	`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`	SLMGAN: Single-layer metasurface design with symmetrical free-form patterns using generative adversarial networks. Appl. Soft Comput. Manna Dai, Yang Jiang, Feng Yang, Xinxing Xu, Weijiang Zhao, My Ha Dao, Yong Liu
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`	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`	Projection-Based Reduced Order Model and Machine Learning Closure for Transient Simulations of High-Re Flows. CoRR My Ha Dao, Hoang Huy Nguyen
2021	J	`jnl`	Projection-Based Reduced Order Model for Simulations of Nonlinear Flows with Multiple Moving Objects. CoRR My Ha Dao