Xinquan Huang

According to our database, Xinquan Huang authored at least 20 papers between 2014 and 2024.

Collaborative distances:

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

2024

Efficient physics-informed neural networks using hash encoding.

Xinquan Huang, Tariq Alkhalifah

J. Comput. Phys., March, 2024

Microseismic Source Imaging Using Physics-Informed Neural Networks With Hard Constraints.

Xinquan Huang, Tariq Alkhalifah

IEEE Trans. Geosci. Remote. Sens., 2024

LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data.

Xinquan Huang, Wenlei Shi, Xiaotian Gao, Xinran Wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu

Neural Networks, 2024

Physics-informed neural wavefields with Gabor basis functions.

Tariq Alkhalifah, Xinquan Huang

Neural Networks, 2024

Multiple Wavefield Solutions in Physics-Informed Neural Networks Using Latent Representation.

Mohammad Hasyim Taufik, Xinquan Huang, Tariq Alkhalifah

IEEE Geosci. Remote. Sens. Lett., 2024

Diffusion-based subsurface multiphysics monitoring and forecasting.

Xinquan Huang, Fu Wang, Tariq Alkhalifah

CoRR, 2024

Controllable seismic velocity synthesis using generative diffusion models.

Fu Wang, Xinquan Huang, Tariq Alkhalifah

CoRR, 2024

2023

A Prior Regularized Full Waveform Inversion Using Generative Diffusion Models.

Fu Wang, Xinquan Huang, Tariq Alkhalifah

IEEE Trans. Geosci. Remote. Sens., 2023

GaborPINN: Efficient Physics-Informed Neural Networks Using Multiplicative Filtered Networks.

Xinquan Huang, Tariq Alkhalifah

IEEE Geosci. Remote. Sens. Lett., 2023

NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition.

Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu

Proceedings of the International Conference on Machine Learning, 2023

2022

Single Reference Frequency Loss for Multifrequency Wavefield Representation Using Physics-Informed Neural Networks.

Xinquan Huang, Tariq Alkhalifah

IEEE Geosci. Remote. Sens. Lett., 2022

LordNet: Learning to Solve Parametric Partial Differential Equations without Simulated Data.

Wenlei Shi, Xinquan Huang, Xiaotian Gao, Xinran Wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu

CoRR, 2022

Direct Imaging Using Physics Informed Neural Networks.

Tariq Alkhalifah, Xinquan Huang

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

FMAC: A Self-Adaptive MAC Protocol for Flocking of Flying Ad Hoc Network.

Xinquan Huang, Aijun Liu, Haibo Zhou, Kai Yu, Wei Wang, Xuemin Shen

IEEE Internet Things J., 2021

PINNup: Robust neural network wavefield solutions using frequency upscaling and neuron splitting.

Xinquan Huang, Tariq Alkhalifah

CoRR, 2021

Hierarchical Software Design Methodology for High Concurrency and Fine-Grained Permission Control Scenarios.

Yuan Han, Qingqing Song, Xinquan Huang, Jie Yin

Proceedings of the CCRIS 2021: 2nd International Conference on Control, 2021

2018

An Analytical Model of CSMA/CA Performance For Periodic Broadcast Scheme.

Xinquan Huang, Aijun Liu, Xiaohu Liang

Proceedings of the IEEE/CIC International Conference on Communications in China, 2018

2015

Reversible Spiking Neural P Systems with Astrocytes.

Yuan Kong, Xiaolong Shi, Jinbang Xu, Xinquan Huang

Fundam. Informaticae, 2015

An heuristic WSPRT fusion algorithm against high proportion of malicious users.

Zhan Gao, Xinquan Huang, Manxi Wang

Proceedings of the International Conference on Wireless Communications & Signal Processing, 2015

2014

Prediction Nucleic Acid Secondary Structure with Planar Pseudoknots and Genetic Algorithm.

Kai Zhang, Xinquan Huang, Wei Hu, Jun Liu

Proceedings of the Bio-Inspired Computing - Theories and Applications, 2014