| 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 | 106* | 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 | 55* | 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 | 31 | 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 | 25 | 2022 |
| 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 | 22* | 2021 |
| 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 Learning on Graphs Conference, 12: 1-12: 27, 2024 | 19 | 2024 |
| 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 | 18 | 2022 |
| Implicit regularization in heavy-ball momentum accelerated stochastic gradient descent A Ghosh, H Lyu, X Zhang, R Wang arXiv preprint arXiv:2302.00849, 2023 | 14 | 2023 |
| 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 | 11 | 2019 |
| 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 | 7 | 2021 |
| 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 | 3 | 2023 |
| Enhancing data-driven seismic inversion using physics-guided spatiotemporal data augmentation Y Yang, X Zhang, Q Guan, Y Lin SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, 2021 | 3 | 2021 |
| 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 | 3* | |
| 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 | 2* | 2023 |
| 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 | 2 | 2020 |
| Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning HR Steach, S Viswanath, Y He, X Zhang, N Ivanova, M Hirn, M Perlmutter, ... International Conference on Research in Computational Molecular Biology, 235-252, 2024 | 1 | 2024 |
| Can Directed Graph Neural Networks be Adversarially Robust? Z Hou, X Zhang, W Wang, CC Aggarwal, X Liu arXiv preprint arXiv:2306.02002, 2023 | 1 | 2023 |
| 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 | 1 | 2022 |
| Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms X Zhang, H Zhu, J Zhou Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 1194-1201, 2020 | 1 | 2020 |
| Optimal Eye Surgeon: Finding image priors through sparse generators at initialization A Ghosh, X Zhang, KK Sun, Q Qu, S Ravishankar, R Wang Forty-first International Conference on Machine Learning, 2024 | | 2024 |
Shihang FengResearch Geophysicist, CGG在 cgg.com 的电子邮件经过验证
