M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark. - Yongxin Shi; Chongyu Liu; Dezhi Peng; Cheng Jian; Jiarong Huang; Lianwen Jin (NeurIPS, 2023)

Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation. - Yongxin Shi; Dezhi Peng; Wenhui Liao; Zening Lin; Xinhong Chen 005; Chongyu Liu; Yuyi Zhang; Lianwen Jin (CoRR, 2023)

TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language Models. - Jiahuan Cao; Dezhi Peng; Peirong Zhang; Yongxin Shi; Yang Liu 353; Kai Ding 009; Lianwen Jin (EMNLP (Findings), 2024)

UPOCR: Towards Unified Pixel-Level OCR Interface. - Dezhi Peng; Zhenhua Yang; Jiaxin Zhang 003; Chongyu Liu; Yongxin Shi; Kai Ding 009; Fengjun Guo; Lianwen Jin (ICML, 2024)

WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts. - Jiahuan Cao; Yang Liu 353; Yongxin Shi; Kai Ding 009; Lianwen Jin (NeurIPS, 2024)

C3Bench: A Comprehensive Classical Chinese Understanding Benchmark for Large Language Models. - Jiahuan Cao; Yongxin Shi; Dezhi Peng; Yang Liu 353; Lianwen Jin (CoRR, 2024)

Multi-View Scene Classification Based on Feature Integration and Evidence Decision Fusion. - Weixun Zhou; Yongxin Shi; Xiao Huang 003 (Remote. Sens., 2024)

Predicting the Original Appearance of Damaged Historical Documents. - Zhenhua Yang; Dezhi Peng; Yongxin Shi; Yuyi Zhang; Chongyu Liu; Lianwen Jin (AAAI, 2025)

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)

Reviving Cultural Heritage: A Novel Approach for Comprehensive Historical Document Restoration. - Yuyi Zhang; Peirong Zhang; Zhenhua Yang; Pengyu Yan; Yongxin Shi; Pengwei Liu; Fengjun Guo; Lianwen Jin (ACL (1), 2025)

RDFCNet: RGB-guided depth feature calibration network for RGB-D salient object detection. - Weiyi Wei; Yongxin Shi; Yibin Wang; Sixuan Liu (Neurocomputing, 2025)

MegaHan97K: A large-scale dataset for mega-category Chinese character recognition with over 97K categories. - Yuyi Zhang; Yongxin Shi; Peirong Zhang; Yixin Zhao; Zhenhua Yang; Lianwen Jin (Pattern Recognit., 2025)

OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning. - Mingxin Huang; Yongxin Shi; Dezhi Peng; Songxuan Lai; Zecheng Xie; Lianwen Jin (CoRR, 2025)