Prediction Nucleic Acid Secondary Structure with Planar Pseudoknots and Genetic Algorithm. - Kai Zhang 002; Xinquan Huang; Wei Hu 001; Jun Liu 011 (BIC-TA, 2014)

An heuristic WSPRT fusion algorithm against high proportion of malicious users. - Zhan Gao; Xinquan Huang; Manxi Wang (WCSP, 2015)

Reversible Spiking Neural P Systems with Astrocytes. - Yuan Kong; Xiaolong Shi; Jinbang Xu; Xinquan Huang (Fundam. Informaticae, 2015)

An Analytical Model of CSMA/CA Performance For Periodic Broadcast Scheme. - Xinquan Huang; Aijun Liu 001; Xiaohu Liang (ICCC, 2018)

Hierarchical Software Design Methodology for High Concurrency and Fine-Grained Permission Control Scenarios. - Yuan Han; Qingqing Song; Xinquan Huang; Jie Yin (CCRIS, 2021)

PINNup: Robust neural network wavefield solutions using frequency upscaling and neuron splitting. - Xinquan Huang; Tariq Alkhalifah (CoRR, 2021)

FMAC: A Self-Adaptive MAC Protocol for Flocking of Flying Ad Hoc Network. - Xinquan Huang; Aijun Liu 001; Haibo Zhou; Kai Yu 010; Wei Wang 100; Xuemin Shen (IEEE Internet Things J., 2021)

Direct Imaging Using Physics Informed Neural Networks. - Tariq Alkhalifah; Xinquan Huang (ICIP, 2022)

LordNet: Learning to Solve Parametric Partial Differential Equations without Simulated Data. - Wenlei Shi; Xinquan Huang; Xiaotian Gao; Xinran Wei; Jia Zhang 004; Jiang Bian 002; Mao Yang 004; Tie-Yan Liu (CoRR, 2022)

Single Reference Frequency Loss for Multifrequency Wavefield Representation Using Physics-Informed Neural Networks. - Xinquan Huang; Tariq Alkhalifah (IEEE Geosci. Remote. Sens. Lett., 2022)

NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition. - Xinquan Huang; Wenlei Shi; Qi Meng; Yue Wang 017; Xiaotian Gao; Jia Zhang 004; Tie-Yan Liu (ICML, 2023)

GaborPINN: Efficient Physics-Informed Neural Networks Using Multiplicative Filtered Networks. - Xinquan Huang; Tariq Alkhalifah (IEEE Geosci. Remote. Sens. Lett., 2023)

A Prior Regularized Full Waveform Inversion Using Generative Diffusion Models. - Fu Wang; Xinquan Huang; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2023)

Controllable seismic velocity synthesis using generative diffusion models. - Fu Wang; Xinquan Huang; Tariq Alkhalifah (CoRR, 2024)

Diffusion-based subsurface multiphysics monitoring and forecasting. - Xinquan Huang; Fu Wang; Tariq Alkhalifah (CoRR, 2024)

Geological and Well prior assisted full waveform inversion using conditional diffusion models. - Fu Wang; Xinquan Huang; Tariq Alkhalifah (CoRR, 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)

Physics-informed neural wavefields with Gabor basis functions. - Tariq Alkhalifah; Xinquan Huang (Neural Networks, 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 004; Jiang Bian 002; Mao Yang 004; Tie-Yan Liu (Neural Networks, 2024)

Microseismic Source Imaging Using Physics-Informed Neural Networks With Hard Constraints. - Xinquan Huang; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2024)

Efficient physics-informed neural networks using hash encoding. - Xinquan Huang; Tariq Alkhalifah (J. Comput. Phys., 2024)

PhysicsCorrect: A Training-Free Approach for Stable Neural PDE Simulations. - Xinquan Huang; Paris Perdikaris (CoRR, 2025)