SCUT-CAB: A New Benchmark Dataset of Ancient Chinese Books with Complex Layouts for Document Layout Analysis. - Hiuyi Cheng; Cheng Jian; Sihang Wu; Lianwen Jin (ICFHR, 2022)

M6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis. - Hiuyi Cheng; Peirong Zhang; Sihang Wu; Jiaxin Zhang 003; Qiyuan Zhu; Zecheng Xie; Jing Li 036; Kai Ding 009; Lianwen Jin (CVPR, 2023)

DocAligner: Annotating Real-world Photographic Document Images by Simply Taking Pictures. - Jiaxin Zhang 003; Bangdong Chen; Hiuyi Cheng; Lianwen Jin; Kai Ding 009; Fengjun Guo (CoRR, 2023)

M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis. - Ning Zhang; Hiuyi Cheng; Jiayu Chen; Zongyuan Jiang; Jun Huang 007; Yang Xue; Lianwen Jin (AAAI, 2024)

MCS-Bench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in Chinese Classical Studies. - Yang Liu 353; Jiahuan Cao; Hiuyi Cheng; Yongxin Shi; Kai Ding 009; Lianwen Jin (ACL (1), 2025)

Large-Scale Corpus Construction and Retrieval-Augmented Generation for Ancient Chinese Poetry: New Method and Data Insights. - Yang Liu 353; Lan Lan; Jiahuan Cao; Hiuyi Cheng; Kai Ding 009; Lianwen Jin (NAACL (Findings), 2025)