Xinquan Huang - RankMe

33 papers A* 2B 1C 1Journal 25Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	PhysicsCorrect: A Training-Free Approach for Stable Neural PDE Simulations. AAAI Xinquan Huang, Paris Perdikaris
2026	J	`jnl`	Self-Flow-Matching assisted Full Waveform Inversion. CoRR Xinquan Huang, Paris Perdikaris
2025	J	`jnl`	CFO: Learning Continuous-Time PDE Dynamics via Flow-Matched Neural Operators. CoRR Xianglong Hou, Xinquan Huang, Paris Perdikaris
2025	J	`jnl`	Physics-informed waveform inversion using pretrained wavefield neural operators. CoRR Xinquan Huang, Fu Wang, Tariq Alkhalifah
2025	J	`jnl`	PhysicsCorrect: A Training-Free Approach for Stable Neural PDE Simulations. CoRR Xinquan Huang, Paris Perdikaris
2024	J	`jnl`	Controllable seismic velocity synthesis using generative diffusion models. CoRR Fu Wang, Xinquan Huang, Tariq Alkhalifah
2024	J	`jnl`	Diffusion-based subsurface multiphysics monitoring and forecasting. CoRR Xinquan Huang, Fu Wang, Tariq Alkhalifah
2024	J	`jnl`	Efficient physics-informed neural networks using hash encoding. J. Comput. Phys. Xinquan Huang, Tariq Alkhalifah
2024	J	`jnl`	Geological and Well prior assisted full waveform inversion using conditional diffusion models. CoRR Fu Wang, Xinquan Huang, Tariq Alkhalifah
2024	J	`jnl`	LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated data. Neural Networks Xinquan Huang, Wenlei Shi, Xiaotian Gao, Xinran Wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu
2024	J	`jnl`	Microseismic Source Imaging Using Physics-Informed Neural Networks With Hard Constraints. IEEE Trans. Geosci. Remote. Sens. Xinquan Huang, Tariq Alkhalifah
2024	J	`jnl`	Multiple Wavefield Solutions in Physics-Informed Neural Networks Using Latent Representation. IEEE Geosci. Remote. Sens. Lett. Mohammad Hasyim Taufik, Xinquan Huang, Tariq Alkhalifah
2024	J	`jnl`	Physics-informed neural wavefields with Gabor basis functions. Neural Networks Tariq Alkhalifah, Xinquan Huang
2023	J	`jnl`	A Prior Regularized Full Waveform Inversion Using Generative Diffusion Models. IEEE Trans. Geosci. Remote. Sens. Fu Wang, Xinquan Huang, Tariq Alkhalifah
2023	J	`jnl`	A prior regularized full waveform inversion using generative diffusion models. CoRR Fu Wang, Xinquan Huang, Tariq Alkhalifah
2023	J	`jnl`	Efficient physics-informed neural networks using hash encoding. CoRR Xinquan Huang, Tariq Alkhalifah
2023	J	`jnl`	GaborPINN: Efficient Physics-Informed Neural Networks Using Multiplicative Filtered Networks. IEEE Geosci. Remote. Sens. Lett. Xinquan Huang, Tariq Alkhalifah
2023	J	`jnl`	GaborPINN: Efficient physics informed neural networks using multiplicative filtered networks. CoRR Xinquan Huang, Tariq Alkhalifah
2023	J	`jnl`	Microseismic source imaging using physics-informed neural networks with hard constraints. CoRR Xinquan Huang, Tariq Alkhalifah
2023	A*	`conf`	NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition. ICML Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu
2023	J	`jnl`	NeuralStagger: accelerating physics-constrained neural PDE solver with spatial-temporal decomposition. CoRR Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu
2023	J	`jnl`	Physics-informed neural wavefields with Gabor basis functions. CoRR Tariq Alkhalifah, Xinquan Huang
2022	B	`conf`	Direct Imaging Using Physics Informed Neural Networks. ICIP Tariq Alkhalifah, Xinquan Huang
2022	J	`jnl`	LordNet: Learning to Solve Parametric Partial Differential Equations without Simulated Data. CoRR Wenlei Shi, Xinquan Huang, Xiaotian Gao, Xinran Wei, Jia Zhang, Jiang Bian, Mao Yang, Tie-Yan Liu
2022	J	`jnl`	Single Reference Frequency Loss for Multifrequency Wavefield Representation Using Physics-Informed Neural Networks. IEEE Geosci. Remote. Sens. Lett. Xinquan Huang, Tariq Alkhalifah
2021	J	`jnl`	FMAC: A Self-Adaptive MAC Protocol for Flocking of Flying Ad Hoc Network. IEEE Internet Things J. Xinquan Huang, Aijun Liu, Haibo Zhou, Kai Yu, Wei Wang, Xuemin Shen
2021	—	`conf`	Hierarchical Software Design Methodology for High Concurrency and Fine-Grained Permission Control Scenarios. CCRIS Yuan Han, Qingqing Song, Xinquan Huang, Jie Yin
2021	J	`jnl`	PINNup: Robust neural network wavefield solutions using frequency upscaling and neuron splitting. CoRR Xinquan Huang, Tariq Alkhalifah
2018	C	`conf`	An Analytical Model of CSMA/CA Performance For Periodic Broadcast Scheme. ICCC Xinquan Huang, Aijun Liu, Xiaohu Liang
2015	—	`conf`	An heuristic WSPRT fusion algorithm against high proportion of malicious users. WCSP Zhan Gao, Xinquan Huang, Manxi Wang
2015	J	`jnl`	Reversible Spiking Neural P Systems with Astrocytes. Fundam. Informaticae Yuan Kong, Xiaolong Shi, Jinbang Xu, Xinquan Huang
2014	—	`conf`	Prediction Nucleic Acid Secondary Structure with Planar Pseudoknots and Genetic Algorithm. BIC-TA Kai Zhang, Xinquan Huang, Wei Hu, Jun Liu
2014	—	`conf`	Reversible Spiking Neural P Systems with Astrocytes. BIC-TA Yuan Kong, Xiaolong Shi, Jinbang Xu, Xinquan Huang