Publications

Guangliang Liu, Zhiyu Xue, Xitong Zhang, Kristen Johnson, Rongrong Wang (2023). PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent. EMNLP 2023.

Xitong Zhang, Avrajit Ghosh, Guangliang Liu, Rongrong Wang (2023). Unlocking Tuning-free Generalization: Minimizing the PAC-Bayes Bound with Trainable Priors.

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Zhichao Hou, Xitong Zhang, Wei Wang, Charu C. Aggarwal, Xiaorui Liu (2023). Can Directed Graph Neural Networks be Adversarially Robust?.

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Avrajit Ghosh, He Lyu, Xitong Zhang, Rongrong Wang (2023). Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent. ICLR 2023 notable top 25%.

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Yanhua Liu, Xitong Zhang, Ilya Tsvankin, Youzuo Lin (2022). Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks.

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Chengyuan Deng, Shihang Feng, Hanchen Wang, Xitong Zhang, Peng Jin, Yinan Feng, Qili Zeng, Yinpeng Chen, Youzuo Lin (2022). OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion. NeurIPS.

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Xitong Zhang, Will Reichard-Flynn, Miao Zhang, Matthew Hirn, Youzuo Lin (2022). Spatiotemporal Graph Convolutional Networks for Earthquake Source Characterization. JGR: Solid Earth.

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Shihang Feng, Peng Jin, Xitong Zhang, Yinpeng Chen, David Alumbaugh, Michael Commer, Youzuo Lin (2022). Weakly Supervised Inversion of Multi-physics Data for Geophysical Properties. ICML-AI4Science.

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Peng Jin, Xitong Zhang, Yinpeng Chen, Sharon Xiaolei Huang, Zicheng Liu, Youzuo Lin (2022). Unsupervised learning of full-waveform inversion: Connecting CNN and partial differential equation in a loop. ICLR.

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Yixuan He, Xitong Zhang, Junjie Huang, Benedek Rozemberczki, Mihai Cucuringu, Gesine Reinert (2022). PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs.

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Yuxin Yang, Xitong Zhang, Qiang Guan, Youzuo Lin (2022). Making Invisible Visible: Data-Driven Seismic Inversion With Spatio-Temporally Constrained Data Augmentation. TGRS.

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Xitong Zhang, Yixuan He, Nathan Brugnone, Michael Perlmutter, Matthew Hirn (2021). Magnet: A neural network for directed graphs. NeurIPS 2021.

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Junbong Jang, Chuangqi Wang, Xitong Zhang, Hee June Choi, Xiang Pan, Bolun Lin, Yudong Yu, Carly Whittle, Madison Ryan, Yenyu Chen, Kwonmoo Lee (2021). A deep learning-based segmentation pipeline for profiling cellular morphodynamics using multiple types of live cell microscopy. Cell reports methods.

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Shihang Feng, Xitong Zhang, Brendt Wohlberg, Neill P Symons, Youzuo Lin (2021). Connect the Dots: In Situ 4-D Seismic Monitoring of CO2 Storage With Spatio-Temporal CNNs. TGRS.

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Xitong Zhang, He Zhu, Jiayu Zhou (2020). Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms. AAAI.

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Xitong Zhang, Liyang Xie, Zheng Wang, Jiayu Zhou (2019). Boosted trajectory calibration for traffic state estimation. ICDM.

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