PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions. - Wei Chen 064; Xitong Zhang; Jordan Brooker; Hao Lin 001; Liqing Zhang 002; Kuo-Chen Chou (Bioinform., 2015)

Streetlamp extraction and identification from mobile LiDAR point cloud scenes. - Xitong Zhang; Huiyun Liu; Yongqiang Li; Zhenzhen Wu; Jie Mao; Yangyang Liu (IGARSS, 2016)

Boosted Trajectory Calibration for Traffic State Estimation. - Xitong Zhang; Liyang Xie; Zheng Wang; Jiayu Zhou (ICDM, 2019)

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

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

How Good Is Your Scientific Data Generative Model? - Yuxin Yang 001; Ben Gremillion; Xitong Zhang; Youzuo Lin; Brendt Wohlberg; Qiang Guan (MLHPC/AI4S@SC, 2020)

MagNet: A Neural Network for Directed Graphs. - Xitong Zhang; Yixuan He; Nathan Brugnone; Michael Perlmutter; Matthew J. Hirn (NeurIPS, 2021)

MagNet: A Magnetic Neural Network for Directed Graphs. - Xitong Zhang; Nathan Brugnone; Michael Perlmutter; Matthew J. Hirn (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)

Making Invisible Visible: Data-Driven Seismic Inversion with Physics-Informed Data Augmentation. - Yuxin Yang 001; Xitong Zhang; Qiang Guan; Youzuo Lin (CoRR, 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)

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 001; Youzuo Lin (ICLR, 2022)

OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion. - Chengyuan Deng; Shihang Feng; Hanchen Wang 003; Xitong Zhang; Peng Jin; Yinan Feng; Qili Zeng; Yinpeng Chen; Youzuo Lin (NeurIPS, 2022)

Exploring Multi-physics with Extremely Weak Supervision. - Shihang Feng; Peng Jin; Yinpeng Chen; Xitong Zhang; Zicheng Liu 001; 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)

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

Making Invisible Visible: Data-Driven Seismic Inversion With Spatio-Temporally Constrained Data Augmentation. - Yuxin Yang 001; Xitong Zhang; Qiang Guan; Youzuo Lin (IEEE Trans. Geosci. Remote. Sens., 2022)

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 (EMNLP, 2023)

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

Auto-tune: PAC-Bayes Optimization over Prior and Posterior for Neural Networks. - Xitong Zhang; Avrajit Ghosh; Guangliang Liu; Rongrong Wang (CoRR, 2023)

Can Directed Graph Neural Networks be Adversarially Robust? - Zhichao Hou; Xitong Zhang; Wei Wang 010; Charu C. Aggarwal; Xiaorui Liu (CoRR, 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)

An Asymmetric Micro-Three-Coil Sensor Enabling Non-Ferrous Metals Distinguishment. - Yucai Xie; Haotian Shi; Yiwen Zheng; Yuwei Zhang; Hongpeng Zhang; Yuqing Sun 002; Xitong Zhang; Shuyao Zhang (IEEE Trans. Instrum. Meas., 2023)

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

Optimal Eye Surgeon: Finding image priors through sparse generators at initialization. - Avrajit Ghosh; Xitong Zhang; Kenneth K. Sun; Qing Qu 001; Saiprasad Ravishankar; Rongrong Wang (ICML, 2024)

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

Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition. - Ismail Alkhouri; Xitong Zhang; Rongrong Wang (Trans. Mach. Learn. Res., 2024)

Improving Generalization of Complex Models under Unbounded Loss Using PAC-Bayes Bounds. - Xitong Zhang; Avrajit Ghosh; Guangliang Liu; Rongrong Wang (Trans. Mach. Learn. Res., 2024)

An integrated static and dynamic graph fusion approach for traffic flow prediction. - Xingliang Che; Wen Xiong; Xian Zhang; Xitong Zhang (J. Supercomput., 2025)

Revealing the Pragmatic Dilemma for Moral Reasoning Acquisition in Language Models. - Guangliang Liu; Lei Jiang; Xitong Zhang; Kristen Marie Johnson (CoRR, 2025)

Prompt Stability Matters: Evaluating and Optimizing Auto-Generated Prompt in General-Purpose Systems. - Ke Chen; Yufei Zhou; Xitong Zhang; Haohan Wang (CoRR, 2025)

Discourse Heuristics For Paradoxically Moral Self-Correction. - Guangliang Liu; Zimo Qi; Xitong Zhang; Kristen Marie Johnson (CoRR, 2025)