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2020 – today
- 2025
[j5]Xingliang Che, Wen Xiong, Xian Zhang, Xitong Zhang:
An integrated static and dynamic graph fusion approach for traffic flow prediction. J. Supercomput. 81(1): 198 (2025)- 2024
- [c14]Guangliang Liu, Milad Afshari, Xitong Zhang, Zhiyu Xue, Avrajit Ghosh, Bidhan Bashyal, Rongrong Wang, Kristen Marie Johnson:
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness. ACL (Findings) 2024: 1843-1856 - [c13]Avrajit Ghosh, Xitong Zhang, Kenneth K. Sun, Qing Qu
, Saiprasad Ravishankar, Rongrong Wang:
Optimal Eye Surgeon: Finding image priors through sparse generators at initialization. ICML 2024 - [c12]Holly R. Steach, Siddharth Viswanath, Yixuan He, Xitong Zhang, Natalia Ivanova, Matthew J. Hirn, Michael Perlmutter, Smita Krishnaswamy:
Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning. RECOMB 2024: 235-252 - [i15]Xitong Zhang, Ismail R. Alkhouri, Rongrong Wang:
Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition. CoRR abs/2405.03089 (2024) - [i14]Guangliang Liu, Milad Afshari, Xitong Zhang, Zhiyu Xue, Avrajit Ghosh, Bidhan Bashyal, Rongrong Wang, Kristen Marie Johnson:
Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness. CoRR abs/2406.04146 (2024) - [i13]Avrajit Ghosh, Xitong Zhang, Kenneth K. Sun, Qing Qu, Saiprasad Ravishankar, Rongrong Wang:
Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at Initialization. CoRR abs/2406.05288 (2024) - 2023
- [j4]Yucai Xie, Haotian Shi, Yiwen Zheng, Yuwei Zhang, Hongpeng Zhang, Yuqing Sun, Xitong Zhang, Shuyao Zhang:
An Asymmetric Micro-Three-Coil Sensor Enabling Non-Ferrous Metals Distinguishment. IEEE Trans. Instrum. Meas. 72: 1-9 (2023) - [c11]Guangliang Liu, Zhiyu Xue, Xitong Zhang, Kristen Marie Johnson, Rongrong Wang:
PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent. EMNLP 2023: 12178-12189 - [c10]Avrajit Ghosh, He Lyu, Xitong Zhang, Rongrong Wang:
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent. ICLR 2023 - [c9]Yixuan He, Xitong Zhang, Junjie Huang, Benedek Rozemberczki, Mihai Cucuringu, Gesine Reinert:
PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs. LoG 2023: 12 - [i12]Avrajit Ghosh, He Lyu, Xitong Zhang, Rongrong Wang:
Implicit regularization in Heavy-ball momentum accelerated stochastic gradient descent. CoRR abs/2302.00849 (2023) - [i11]Xitong Zhang, Avrajit Ghosh, Guangliang Liu, Rongrong Wang:
Auto-tune: PAC-Bayes Optimization over Prior and Posterior for Neural Networks. CoRR abs/2305.19243 (2023) - [i10]Zhichao Hou, Xitong Zhang, Wei Wang, Charu C. Aggarwal, Xiaorui Liu:
Can Directed Graph Neural Networks be Adversarially Robust? CoRR abs/2306.02002 (2023) - [i9]Guangliang Liu, Zhiyu Xue, Xitong Zhang, Kristen Marie Johnson, Rongrong Wang:
PAC-tuning: Fine-tuning Pretrained Language Models with PAC-driven Perturbed Gradient Descent. CoRR abs/2310.17588 (2023) - 2022
- [j3]Shihang Feng, Xitong Zhang, Brendt Wohlberg, Neill Symons, Youzuo Lin:
Connect the Dots: In Situ 4-D Seismic Monitoring of CO2 Storage With Spatio-Temporal CNNs. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j2]Yuxin Yang, Xitong Zhang, Qiang Guan, Youzuo Lin:
Making Invisible Visible: Data-Driven Seismic Inversion With Spatio-Temporally Constrained Data Augmentation. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [c8]Peng Jin, Xitong Zhang, Yinpeng Chen, Sharon Xiaolei Huang, Zicheng Liu, Youzuo Lin:
Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop. ICLR 2022 - [c7]Chengyuan Deng, Shihang Feng, Hanchen Wang, Xitong Zhang, Peng Jin, Yinan Feng, Qili Zeng, Yinpeng Chen, Youzuo Lin:
OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion. NeurIPS 2022 - [i8]Shihang Feng, Peng Jin, Yinpeng Chen, Xitong Zhang, Zicheng Liu, Youzuo Lin:
Exploring Multi-physics with Extremely Weak Supervision. CoRR abs/2202.01770 (2022) - [i7]Yixuan He, Xitong Zhang, Junjie Huang, Mihai Cucuringu, Gesine Reinert:
PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs. CoRR abs/2202.10793 (2022) - [i6]Yanhua Liu, Xitong Zhang, Ilya Tsvankin, Youzuo Lin:
Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks. CoRR abs/2212.04567 (2022) - 2021
- [c6]Xitong Zhang, Yixuan He, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn:
MagNet: A Neural Network for Directed Graphs. NeurIPS 2021: 27003-27015 - [i5]Xitong Zhang, Nathan Brugnone, Michael Perlmutter, Matthew J. Hirn:
MagNet: A Magnetic Neural Network for Directed Graphs. CoRR abs/2102.11391 (2021) - [i4]Shihang Feng, Xitong Zhang, Brendt Wohlberg, Neill Symons, Youzuo Lin:
Connect the Dots: In Situ 4D Seismic Monitoring of CO2 Storage with Spatio-temporal CNNs. CoRR abs/2105.11622 (2021) - [i3]Yuxin Yang, Xitong Zhang, Qiang Guan, Youzuo Lin:
Making Invisible Visible: Data-Driven Seismic Inversion with Physics-Informed Data Augmentation. CoRR abs/2106.11892 (2021) - [i2]Peng Jin, Xitong Zhang, Yinpeng Chen, Sharon Xiaolei Huang, Zicheng Liu, Youzuo Lin:
Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop. CoRR abs/2110.07584 (2021) - [i1]Chengyuan Deng, Yinan Feng, Shihang Feng, Peng Jin, Xitong Zhang, Qili Zeng, Youzuo Lin:
OpenFWI: Benchmark Seismic Datasets for Machine Learning-Based Full Waveform Inversion. CoRR abs/2111.02926 (2021) - 2020
- [c5]Xitong Zhang, He Zhu, Jiayu Zhou:
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms. AAAI 2020: 1194-1201 - [c4]Xitong Zhang, He Zhu, Jiayu Zhou:
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms (Student Abstract). AAAI 2020: 13985-13986 - [c3]Yuxin Yang, Ben Gremillion, Xitong Zhang, Youzuo Lin, Brendt Wohlberg, Qiang Guan:
How Good Is Your Scientific Data Generative Model? MLHPC/AI4S@SC 2020: 96-102
2010 – 2019
- 2019
- [c2]Xitong Zhang, Liyang Xie, Zheng Wang, Jiayu Zhou:
Boosted Trajectory Calibration for Traffic State Estimation. ICDM 2019: 866-875 - 2016
- [c1]Xitong Zhang, Huiyun Liu, Yongqiang Li, Zhenzhen Wu, Jie Mao, Yangyang Liu:
Streetlamp extraction and identification from mobile LiDAR point cloud scenes. IGARSS 2016: 1468-1471 - 2015
- [j1]Wei Chen, Xitong Zhang, Jordan Brooker, Hao Lin, Liqing Zhang, Kuo-Chen Chou:
PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions. Bioinform. 31(1): 119-120 (2015)
Coauthor Index
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