Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering. - Chengyang Fang; Gangyan Zeng; Yu Zhou 015; Daiqing Wu; Can Ma; Dayong Hu; Weiping Wang 005 (ICME, 2022)

CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality. - Liang Li 006; Ruiying Geng; Chengyang Fang; Bing Li 001; Can Ma; Rongyu Cao; Binhua Li; Fei Huang 002; Yongbin Li (ACL (1), 2023)

Plan-then-Seam: Towards Efficient Table-to-Text Generation. - Liang Li; Ruiying Geng; Chengyang Fang; Bing Li; Can Ma; Binhua Li; Yongbin Li (EACL (Findings), 2023)

Separate and Locate: Rethink the Text in Text-based Visual Question Answering. - Chengyang Fang; Jiangnan Li; Liang Li; Can Ma; Dayong Hu (ACM Multimedia, 2023)

Segment then Match: Find the Carrier before Reasoning in Scene-Text VQA. - Chengyang Fang; Liang Li; Jiapeng Liu; Bing Li; Dayong Hu; Can Ma (ICASSP, 2024)

Prompting Large Language Models with Fine-Grained Visual Relations from Scene Graph for Visual Question Answering. - Jiapeng Liu; Chengyang Fang; Liang Li; Bing Li; Dayong Hu; Can Ma (ICASSP, 2024)