Xitong Zhang
Orcid: 0000-0002-4379-8089
According to our database1,
Xitong Zhang
authored at least 30 papers
between 2015 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
J. Supercomput., January, 2025
2024
Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition.
CoRR, 2024
Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning.
Proceedings of the Research in Computational Molecular Biology, 2024
Optimal Eye Surgeon: Finding image priors through sparse generators at initialization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
IEEE Trans. Instrum. Meas., 2023
PAC-tuning: Fine-tuning Pretrained Language Models with PAC-driven Perturbed Gradient Descent.
CoRR, 2023
CoRR, 2023
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs.
Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2022
Making Invisible Visible: Data-Driven Seismic Inversion With Spatio-Temporally Constrained Data Augmentation.
IEEE Trans. Geosci. Remote. Sens., 2022
Connect the Dots: In Situ 4-D Seismic Monitoring of CO<sub>2</sub> Storage With Spatio-Temporal CNNs.
IEEE Trans. Geosci. Remote. Sens., 2022
Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks.
CoRR, 2022
PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs.
CoRR, 2022
OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop.
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
OpenFWI: Benchmark Seismic Datasets for Machine Learning-Based Full Waveform Inversion.
CoRR, 2021
Making Invisible Visible: Data-Driven Seismic Inversion with Physics-Informed Data Augmentation.
CoRR, 2021
Connect the Dots: In Situ 4D Seismic Monitoring of CO<sub>2</sub> Storage with Spatio-temporal CNNs.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
2016
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions.
Bioinform., 2015