Xitong Zhang

According to our database, Xitong Zhang authored at least 25 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

An Asymmetric Micro-Three-Coil Sensor Enabling Non-Ferrous Metals Distinguishment.

Yucai Xie, Haotian Shi, Yiwen Zheng, Yuwei Zhang, Hongpeng Zhang, Yuqing Sun, Xitong Zhang, Shuyao Zhang

IEEE Trans. Instrum. Meas., 2023

PAC-tuning: Fine-tuning Pretrained Language Models with PAC-driven Perturbed Gradient Descent.

Guangliang Liu, Zhiyu Xue, Xitong Zhang, Kristen Marie Johnson, Rongrong Wang

CoRR, 2023

Can Directed Graph Neural Networks be Adversarially Robust?

Zhichao Hou, Xitong Zhang, Wei Wang, Charu C. Aggarwal, Xiaorui Liu

CoRR, 2023

Auto-tune: PAC-Bayes Optimization over Prior and Posterior for Neural Networks.

Xitong Zhang, Avrajit Ghosh, Guangliang Liu, Rongrong Wang

CoRR, 2023

PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs.

Yixuan He, Xitong Zhang, Junjie Huang, Benedek Rozemberczki, Mihai Cucuringu, Gesine Reinert

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent.

Avrajit Ghosh, He Lyu, Xitong Zhang, Rongrong Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent.

Guangliang Liu, Zhiyu Xue, Xitong Zhang, Kristen Marie Johnson, Rongrong Wang

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.

Yuxin Yang, Xitong Zhang, Qiang Guan, Youzuo Lin

IEEE Trans. Geosci. Remote. Sens., 2022

Connect the Dots: In Situ 4-D Seismic Monitoring of CO₂ Storage With Spatio-Temporal CNNs.

Shihang Feng, Xitong Zhang, Brendt Wohlberg, Neill Symons, Youzuo Lin

IEEE Trans. Geosci. Remote. Sens., 2022

Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks.

Yanhua Liu, Xitong Zhang, Ilya Tsvankin, Youzuo Lin

CoRR, 2022

PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs.

Yixuan He, Xitong Zhang, Junjie Huang, Mihai Cucuringu, Gesine Reinert

CoRR, 2022

Exploring Multi-physics with Extremely Weak Supervision.

Shihang Feng, Peng Jin, Yinpeng Chen, Xitong Zhang, Zicheng Liu, Youzuo Lin

CoRR, 2022

OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion.

Chengyuan Deng, Shihang Feng, Hanchen Wang, Xitong Zhang, Peng Jin, Yinan Feng, Qili Zeng, Yinpeng Chen, Youzuo Lin

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.

Peng Jin, Xitong Zhang, Yinpeng Chen, Sharon Xiaolei Huang, Zicheng Liu, Youzuo Lin

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

OpenFWI: Benchmark Seismic Datasets for Machine Learning-Based Full Waveform Inversion.

Chengyuan Deng, Yinan Feng, Shihang Feng, Peng Jin, Xitong Zhang, Qili Zeng, Youzuo Lin

CoRR, 2021

Making Invisible Visible: Data-Driven Seismic Inversion with Physics-Informed Data Augmentation.

Yuxin Yang, Xitong Zhang, Qiang Guan, Youzuo Lin

CoRR, 2021

Connect the Dots: In Situ 4D Seismic Monitoring of CO₂ Storage with Spatio-temporal CNNs.

Shihang Feng, Xitong Zhang, Brendt Wohlberg, Neill Symons, Youzuo Lin

CoRR, 2021

MagNet: A Magnetic Neural Network for Directed Graphs.

Xitong Zhang, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn

CoRR, 2021

MagNet: A Neural Network for Directed Graphs.

Xitong Zhang, Yixuan He, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

How Good Is Your Scientific Data Generative Model?

Yuxin Yang, Ben Gremillion, Xitong Zhang, Youzuo Lin, Brendt Wohlberg, Qiang Guan

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.

Xitong Zhang, He Zhu, Jiayu Zhou

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).

Xitong Zhang, He Zhu, Jiayu Zhou

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Boosted Trajectory Calibration for Traffic State Estimation.

Xitong Zhang, Liyang Xie, Zheng Wang, Jiayu Zhou

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2016

Streetlamp extraction and identification from mobile LiDAR point cloud scenes.

Xitong Zhang, Huiyun Liu, Yongqiang Li, Zhenzhen Wu, Jie Mao, Yangyang Liu

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.

Wei Chen, Xitong Zhang, Jordan Brooker, Hao Lin, Liqing Zhang, Kuo-Chen Chou

Bioinform., 2015