Publications | Xitong Zhang

Avrajit Ghosh, Xitong Zhang, Kenneth K Sun, Qing Qu, Saiprasad Ravishankar, Rongrong Wang (2024). Optimal Eye Surgeon: Finding image priors through sparse generators at initialization. ICML 2024.

Guangliang Liu, Milad Afshari, Xitong Zhang, Zhiyu Xue, Avrajit Ghosh, Bidhan Bashyal, Rongrong Wang, Kristen Johnson (2024). Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness. ACL 2024.

Xitong Zhang, Ismail R Alkhouri, Rongrong Wang (2024). Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition. arXiv.

Holly R Steach, Siddharth Viswanath, Yixuan He, Xitong Zhang, Natalia Ivanova, Matthew Hirn, Michael Perlmutter, Smita Krishnaswamy (2024). Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning. RECOMB 2024.

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.

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

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

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.

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

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.

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.

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.

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

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

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.

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.

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

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