| 2024 | ADMA | RBMO-Att-Bi-LSTM: A Red-Billed Blue Magpie Optimiser-Self-attention Mechanism Based Optimisation of Bi-Directional Long- and Short-Term Memory Networks for Classification of COVID-19 CT Images. | Yihao Sun, Tianming Du, Hongzan Sun, Jian Xu, Md Mamunur Rahaman, Xinghao Wang, Xinyu Huang, Tao Jiang, Marcin Grzegorzek, Ning Xu, Chen Li |
| 2024 | ADMA | RPE-Diff: A Relative Position Encoding Diffusion Model for Perirenal Fat Segmentation in Metabolic Syndrome. | Shuai Ye, Tianming Du, Frank Kulwa, Xiangyu Meng, Md Mamunur Rahaman, Marcin Grzegorzek, Ning Xu, Tao Jiang, Hongzan Sun, Chen Li |
| 2023 | ACL | Type Enhanced BERT for Correcting NER Errors. | Kuai Li, Chen Chen, Tao Yang, Tianming Du, Peijie Yu, Dong Du, Feng Zhang |
| 2021 | CIKM | Form 10-Q Itemization. | Yanci Zhang, Tianming Du, Yujie Sun, Lawrence Donohue, Rui Dai |
| 2020 | MICCAI | A 3D Convolutional Encapsulated Long Short-Term Memory (3DConv-LSTM) Model for Denoising fMRI Data. | Chongyue Zhao, Hongming Li, Zhicheng Jiao, Tianming Du, Yong Fan |
| 2019 | VCIP | Morphology Reconstruction of Obstructed Coronary Artery in Angiographic Images. | Tianming Du, Xiaotong Shi, Ruijia Wu, Honggang Zhang, Xiaolin Song, Jin Feng, Fuzhuo Sun |
| 2019 | VCIP | Enhanced Initialization with Multi-Stage Learning for Robust Visual Tracking. | Jin Feng, Shi Pu, Kaili Zhao, Honggang Zhang, Tianming Du |
| 2016 | ECIR | Deep Learning over Multi-field Categorical Data - - A Case Study on User Response Prediction. | Weinan Zhang, Tianming Du, Jun Wang |