| 2025 | NAACL | Lost in the Distance: Large Language Models Struggle to Capture Long-Distance Relational Knowledge. | Meiyun Wang, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo |
| 2024 | ACL | LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction. | Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji |
| 2022 | LREC | The CRECIL Corpus: a New Dataset for Extraction of Relations between Characters in Chinese Multi-party Dialogues. | Yuru Jiang, Yang Xu, Yuhang Zhan, Weikai He, Yilin Wang, Zixuan Xi, Meiyun Wang, Xinyu Li, Yu Li, Yanchao Yu |
| 2022 | MICCAI | Whole Mammography Diagnosis via Multi-instance Supervised Discriminative Localization and Classification. | Qingxia Wu, Hongna Tan, Yaping Wu, Pei Dong, Jifei Che, Zheren Li, Chenjin Lei, Dinggang Shen, Zhong Xue, Meiyun Wang |
| 2019 | MICCAI | Learning Cross-Modal Deep Representations for Multi-Modal MR Image Segmentation. | Cheng Li, Hui Sun, Zaiyi Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang |
| 2019 | MICCAI | X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies. | Kehan Qi, Hao Yang, Cheng Li, Zaiyi Liu, Meiyun Wang, Qiegen Liu, Shanshan Wang |
| 2019 | MICCAI | CLCI-Net: Cross-Level Fusion and Context Inference Networks for Lesion Segmentation of Chronic Stroke. | Hao Yang, Weijian Huang, Kehan Qi, Cheng Li, Xinfeng Liu, Meiyun Wang, Hairong Zheng, Shanshan Wang |
| 2017 | UIC | A precise grading method for glioma based on radiomics. | Yusong Lin, Yaping Wu, Haibo Pang, Yaping Wu, Weiguo Wu, Taiyuan Liu, Meiyun Wang |
| 2017 | UIC | Glioma grading based on gentle-adaboost algorithm and radiomics. | Haibo Pang, Chengming Liu, Zhe Zhao, Yaping Wu, Meiyun Wang, Yusong Lin |