| 2025 | ICDAR | Template-Guided Cascaded Diffusion for Stylized Handwritten Chinese Text-Line Generation. | Honglie Wang, Minsi Ren, Yan-Ming Zhang, Fei Yin, Cheng-Lin Liu |
| 2025 | ICLR | Decoupling Layout from Glyph in Online Chinese Handwriting Generation. | Minsi Ren, Yan-Ming Zhang, Yi Chen |
| 2024 | ICDAR | Class Incremental Learning for Character String Recognition. | Yijie Hu, Yan-Ming Zhang, Kaizhu Huang, Qiu-Feng Wang |
| 2024 | ICDAR | Document Specular Highlight Removal with Coarse-to-Fine Strategy. | Xin Yang, Fei Yin, Yan-Ming Zhang, Xudong Yan, Tao Xue |
| 2024 | ICONIP | Unsupervised Document Image Tampering Localization via Anomaly Detection. | Yuan Li, Yan-Ming Zhang, Fei Yin, Lin-Lin Huang |
| 2023 | ICASSP | Streaming Stroke Classification of Online Handwriting. | Jing-Yu Liu, Yan-Ming Zhang, Fei Yin, Cheng-Lin Liu |
| 2023 | ICDAR | A Shallow Graph Neural Network with Innovative Node Updating for Online Handwritten Stroke Classification. | Yan-Rong Wang, Da-Han Wang, Xiao-Long Yun, Yan-Ming Zhang, Fei Yin, Shunzhi Zhu |
| 2023 | ICONIP | Diff-Writer: A Diffusion Model-Based Stylized Online Handwritten Chinese Character Generator. | Minsi Ren, Yan-Ming Zhang, Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu |
| 2021 | AAAI | Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition. | Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu |
| 2021 | MICCAI | Region Ensemble Network for MCI Conversion Prediction with a Relation Regularized Loss. | Yuan-Xing Zhao, Yan-Ming Zhang, Ming Song, Cheng-Lin Liu |
| 2019 | ICDAR | Contextual Stroke Classification in Online Handwritten Documents with Graph Attention Networks. | Jun-Yu Ye, Yan-Ming Zhang, Qing Yang, Cheng-Lin Liu |
| 2019 | ICIG | Online Handwritten Diagram Recognition with Graph Attention Networks. | Xiao-Long Yun, Yan-Ming Zhang, Jun-Yu Ye, Cheng-Lin Liu |
| 2019 | MICCAI | Multi-view Semi-supervised 3D Whole Brain Segmentation with a Self-ensemble Network. | Yuan-Xing Zhao, Yan-Ming Zhang, Ming Song, Cheng-Lin Liu |
| 2018 | ICPR | Anomaly Detection via Minimum Likelihood Generative Adversarial Networks. | Chu Wang, Yan-Ming Zhang, Cheng-Lin Liu |
| 2017 | ICLR | Recurrent Hidden Semi-Markov Model. | Hanjun Dai, Bo Dai, Yan-Ming Zhang, Shuang Li, Le Song |
| 2016 | AAAI | Large-Scale Graph-Based Semi-Supervised Learning via Tree Laplacian Solver. | Yan-Ming Zhang, Xu-Yao Zhang, Xiao-Tong Yuan, Cheng-Lin Liu |
| 2016 | IGARSS | Gaussian description on the roughness distribution of sand-covered Surface for IEM with the help of inversion method. | Yan-Ming Zhang, Hui Chen, Tie Jun Cui |
| 2016 | ICPR | Joint training of conditional random fields and neural networks for stroke classification in online handwritten documents. | Jun-Yu Ye, Yan-Ming Zhang, Cheng-Lin Liu |
| 2014 | IJCNN | Integrating supervised subspace criteria with restricted Boltzmann Machine for feature extraction. | Guo-Sen Xie, Xu-Yao Zhang, Yan-Ming Zhang, Cheng-Lin Liu |
| 2011 | ICDM | Fast and Robust Graph-based Transductive Learning via Minimum Tree Cut. | Yan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu |
| 2010 | AAAI | Transductive Learning on Adaptive Graphs. | Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou |