Xitong Zhang
Cited by
Cited by
Magnet: A neural network for directed graphs
X Zhang, Y He, N Brugnone, M Perlmutter, M Hirn
Advances in Neural Information Processing Systems 34, 27003-27015, 2021
OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion
C Deng, S Feng, H Wang, X Zhang, P Jin, Y Feng, Q Zeng, Y Chen, Y Lin
Advances in Neural Information Processing Systems 35, 6007-6020, 2022
Unsupervised learning of full-waveform inversion: Connecting CNN and partial differential equation in a loop
P Jin, X Zhang, Y Chen, SX Huang, Z Liu, Y Lin
arXiv preprint arXiv:2110.07584, 2021
A deep learning-based segmentation pipeline for profiling cellular morphodynamics using multiple types of live cell microscopy
J Jang, C Wang, X Zhang, HJ Choi, X Pan, B Lin, Y Yu, C Whittle, M Ryan, ...
Cell reports methods 1 (7), 100105, 2021
Spatiotemporal graph convolutional networks for earthquake source characterization
X Zhang, W Reichard‐Flynn, M Zhang, M Hirn, Y Lin
Journal of Geophysical Research: Solid Earth 127 (11), e2022JB024401, 2022
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs
Y He, X Zhang, J Huang, B Rozemberczki, M Cucuringu, G Reinert
arXiv preprint arXiv:2202.10793, 2022
Boosted trajectory calibration for traffic state estimation
X Zhang, L Xie, Z Wang, J Zhou
2019 IEEE International Conference on Data Mining (ICDM), 866-875, 2019
Making Invisible Visible: Data-Driven Seismic Inversion With Spatio-Temporally Constrained Data Augmentation
Y Yang, X Zhang, Q Guan, Y Lin
IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022
Connect the Dots: In Situ 4-D Seismic Monitoring of CO2 Storage With Spatio-Temporal CNNs
S Feng, X Zhang, B Wohlberg, NP Symons, Y Lin
IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2021
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent
A Ghosh, H Lyu, X Zhang, R Wang
arXiv preprint arXiv:2302.00849, 2023
Weakly Supervised Inversion of Multi-physics Data for Geophysical Properties
S Feng, P Jin, Y Chen, X Zhang, Z Liu, D Alumbaugh, M Commer, Y Lin
ICML 2022 2nd AI for Science Workshop, 0
How Good Is Your Scientific Data Generative Model?
Y Yang, B Gremillion, X Zhang, Y Lin, B Wohlberg, Q Guan
2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2020
Extremely weak supervision inversion of multiphysical properties
S Feng, P Jin, X Zhang, Y Chen, D Alumbaugh, M Commer, Y Lin
Second International Meeting for Applied Geoscience & Energy, 1785-1789, 2022
PAC-tuning: Fine-tuning Pretrained Language Models with PAC-driven Perturbed Gradient Descent
G Liu, Z Xue, X Zhang, KM Johnson, R Wang
arXiv preprint arXiv:2310.17588, 2023
Supervised vs. unsupervised deep learning full waveform inversion: a case study at CCUS site, San Juan NM
H Wang, S Feng, Y Lin, Y Chen, X Zhang, P Jin, RJ Pawar, GD Guthrie
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States), 2023
Can Directed Graph Neural Networks be Adversarially Robust?
Z Hou, X Zhang, W Wang, CC Aggarwal, X Liu
arXiv preprint arXiv:2306.02002, 2023
Unlocking Tuning-free Generalization: Minimizing the PAC-Bayes Bound with Trainable Priors
X Zhang, A Ghosh, G Liu, R Wang
arXiv preprint arXiv:2305.19243, 2023
Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks
Y Liu, X Zhang, I Tsvankin, Y Lin
arXiv preprint arXiv:2212.04567, 2022
An Open-source Platform to Facilitate Data-driven FWI Research
S Feng, C Deng, H Wang, X Zhang, Q Zeng, P Jin, Y Feng, Y Lin, Y Chen
AGU Fall Meeting Abstracts 2022, NS35B-0387, 2022
Seismic Source Characterization using Physics-Guided Graph Convolutional Neural Network
W Reichard-Flynn, X Zhang, M Zhang, Y Lin
AGU Fall Meeting Abstracts 2022, S42C-0165, 2022
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