A Statistical Study of Words Used in Chinese Clinical Documents. - Meizhi Ju; Haomin Li (AMIA, 2014)

Lexical Characteristics Analysis of Chinese Clinical Documents. - Meizhi Ju; Haomin Li 001; Huilong Duan (BioNLP@IJCNLP, 2015)

Automatic Knowledge Extraction and Data Mining from Echo Reports of Pediatric Heart Disease: Application on Clinical Decision Support. - Yahui Shi; Zuofeng Li; Zheng Jia; Binyang Hu; Meizhi Ju; Xiaoyan Zhang; Haomin Li 001 (CCL, 2015)

Development and evaluation of task-specific NLP framework in China. - Caixia Ge; Yinsheng Zhang; Zhenzhen Huang; Zheng Jia; Meizhi Ju; Huilong Duan; Haomin Li 001 (MedInfo, 2015)

A Neural Layered Model for Nested Named Entity Recognition. - Meizhi Ju; Makoto Miwa; Sophia Ananiadou (NAACL-HLT, 2018)

Improving reference prioritisation with PICO recognition. - Austin J. Brockmeier; Meizhi Ju; Piotr Przybyla; Sophia Ananiadou (BMC Medical Informatics Decis. Mak., 2019)

A Text Mining Pipeline Using Active and Deep Learning Aimed at Curating Information in Computational Neuroscience. - Matthew Shardlow; Meizhi Ju; Maolin Li; Christian O'Reilly; Elisabetta Iavarone; John McNaught; Sophia Ananiadou (Neuroinformatics, 2019)

An ensemble of neural models for nested adverse drug events and medication extraction with subwords. - Meizhi Ju; Nhung T. H. Nguyen 001; Makoto Miwa; Sophia Ananiadou (J. Am. Medical Informatics Assoc., 2020)

Neural named entity recognition and temporal relation extraction - Meizhi Ju (2020)

Leveraging Multiple Types of Domain Knowledge for Safe and Effective Drug Recommendation. - Jialun Wu; Buyue Qian; Yang Li 139; Zeyu Gao 001; Meizhi Ju; Yifan Yang 008; Yefeng Zheng 001; Tieliang Gong; Chen Li 011; Xianli Zhang (CIKM, 2022)

Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. - Haochun Wang; Chi Liu; Nuwa Xi; Sendong Zhao; Meizhi Ju; Shiwei Zhang; Ziheng Zhang; Yefeng Zheng 001; Bing Qin 001; Ting Liu 001 (COLING, 2022)

Comparing neural models for nested and overlapping biomedical event detection. - Kurt J. P. Espinosa; Panagiotis Georgiadis 005; Fenia Christopoulou; Meizhi Ju; Makoto Miwa; Sophia Ananiadou (BMC Bioinform., 2022)

A Creative Industry Image Generation Dataset Based on Captions. - Yuejia Xiang; Chuanhao Lv; Qingdazhu Liu; Xiaocui Yang; Bo Liu 095; Meizhi Ju (CoRR, 2022)

Cross-Modal Contrastive Learning for Event Extraction. - Shuo Wang 008; Meizhi Ju; Yunyan Zhang; Yefeng Zheng 001; Meng Wang 001; Guilin Qi (DASFAA (3), 2023)

MiniMax-01: Scaling Foundation Models with Lightning Attention. - MiniMax; Aonian Li; Bangwei Gong; Bo Yang; Boji Shan; Chang Liu; Cheng Zhu; Chunhao Zhang; Congchao Guo; Da Chen; Dong Li 033; Enwei Jiao; et al. (CoRR, 2025)