| Issue Date | Title | Author(s) |
| 2022 | BNU: A BALANCE-NORMALIZATION-UNCERTAINTY MODEL FOR INCREMENTAL EVENT DETECTION | Li, Jia; Zhang, Yunyan; Yang, Yifan; An, Zhicheng; Zheng, Yefeng |
| 2022 | CLINER: Clinical Interrogation Named Entity Recognition | Ren, Jing; Cao, Tianyang; Yang, Yifan; Zhang, Yunyan; Chen, Xi; Feng, Tian; Chang, Baobao; Sui, Zhifang; Zhao, Ruihui; Zheng, Yefeng; Liu, Bang |
| 2022 | Contractible Regularization for Federated Learning on Non-IID Data | Chen, Zifan; Wu, Zhe; Wu, Xian; Zhang, Li; Zhao, Jie; Yan, Yangtian; Zheng, Yefeng |
| 2024 | Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models | Xu, Derong; Zhang, Ziheng; Zhu, Zhihong; Lin, Zhenxi; Liu, Qidong; Wu, Xian; Xu, Tong; Wang, Wanyu; Ye, Yuyang; Zhao, Xiangyu; Chen, Enhong; Zheng, Yefeng |
| Jan-2021 | A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging | Xiong, Zhaohan; Xia, Qing; Hu, Zhiqiang; Huang, Ning; Bian, Cheng; Zheng, Yefeng; Vesal, Sulaiman; Ravikumar, Nishant; Maier, Andreas; Yang, Xin; Heng, Pheng-Ann; Ni, Dong; Li, Caizi; Tong, Qianqian; Si, Weixin; Puybareau, Elodie; Khoudli, Younes; Geraud, Thierry; Chen, Chen; Bai, Wenjia; Rueckert, Daniel; Xu, Lingchao; Zhuang, Xiahai; Luo, Xinzhe; Jia, Shuman; Sermesant, Maxime; Liu, Yashu; Wang, Kuanquan; Borra, Davide; Masci, Alessandro; Corsi, Cristiana; de Vente, Coen; Veta, Mitko; Karim, Rashed; Preetha, Chandrakanth Jayachandran; Engelhardt, Sandy; Qiao, Menyun; Wang, Yuanyuan; Tao, Qian; Nunez-Garcia, Marta; Camara, Oscar; Savioli, Nicolo; Lamata, Pablo; Zhao, Jichao |
| 2022 | An Inclusive Task-Aware Framework for Radiology Report Generation | Wang, Lin; Ning, Munan; Lu, Donghuan; Wei, Dong; Zheng, Yefeng; Chen, Jie |
| 2-Dec-2023 | A medical multimodal large language model for future pandemics | Liu, Fenglin; Zhu, Tingting; Wu, Xian; Yang, Bang; You, Chenyu; Wang, Chenyang; Lu, Lei; Liu, Zhangdaihong; Zheng, Yefeng; Sun, Xu; Yang, Yang; Clifton, Lei; Clifton, David A. |
| 2023 | A Model-Agnostic Framework for Universal Anomaly Detection of Multi-organ and Multi-modal Images | Zhang, Yinghao; Lu, Donghuan; Ning, Munan; Wang, Liansheng; Wei, Dong; Zheng, Yefeng |
| 2024 | Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation | Zhu, Zhihong; Cheng, Xuxin; Zhang, Yunyan; Chen, Zhaorun; Long, Qingqing; Li, Hongxiang; Huang, Zhiqi; Wu, Xian; Zheng, Yefeng |
| Dec-2024 | An Organ-Aware Diagnosis Framework for Radiology Report Generation | Li, Shiyu; Qiao, Pengchong; Wang, Lin; Ning, Munan; Yuan, Li; Zheng, Yefeng; Chen, Jie |
| 2024 | TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing | Zhu, Zhihong; Zhuang, Xianwei; Zhang, Yunyan; Xue, Derong; Hu, Guimin; Wu, Xian; Zheng, Yefeng |
| 11-Aug-2022 | Using machine learning algorithms for predicting cognitive impairment and identifying modifiable factors among Chinese elderly people | Wang, Shuojia; Wang, Weiren; Li, Xiaowen; Liu, Yafei; Wei, Jingming; Zheng, Jianguang; Wang, Yan; Ye, Birong; Zhao, Ruihui; Huang, Yu; Peng, Sixiang; Zheng, Yefeng; Zeng, Yanbing |
