DeepFuse neural networks. - Xiu Li 001; Rujiao Long; Kun Jin (ACM TUR-C, 2019)

End-to-end semantic-aware object retrieval based on region-wise attention. - Xiu Li 001; Kun Jin; Rujiao Long (Neurocomputing, 2019)

TANet: A Tiny Plankton Classification Network for Mobile Devices. - Xiu Li 001; Rujiao Long; Jiangpeng Yan; Kun Jin; Jihae Lee (Mob. Inf. Syst., 2019)

Parsing Table Structures in the Wild. - Rujiao Long; Wen Wang; Nan Xue 001; Feiyu Gao; Zhibo Yang 003; Yongpan Wang; Gui-Song Xia (ICCV, 2021)

Revisiting Document Image Dewarping by Grid Regularization. - Xiangwei Jiang; Rujiao Long; Nan Xue 001; Zhibo Yang 003; Cong Yao; Gui-Song Xia (CVPR, 2022)

LORE: Logical Location Regression Network for Table Structure Recognition. - Hangdi Xing; Feiyu Gao; Rujiao Long; Jiajun Bu; Qi Zheng 002; Liangcheng Li; Cong Yao; Zhi Yu (AAAI, 2023)

Modeling Entities as Semantic Points for Visual Information Extraction in the Wild. - Zhibo Yang 003; Rujiao Long; Pengfei Wang; Sibo Song; Humen Zhong; Wenqing Cheng; Xiang Bai; Cong Yao (CVPR, 2023)

Accumulation Knowledge Distillation for Conditional GAN Compression. - Tingwei Gao; Rujiao Long (ICCV (Workshops), 2023)

HIP: Hierarchical Point Modeling and Pre-training for Visual Information Extraction. - Rujiao Long; Pengfei Wang; Zhibo Yang 003; Cong Yao (CoRR, 2024)

ASPO: Adaptive Sentence-Level Preference Optimization for Fine-Grained Multimodal Reasoning. - Yeyuan Wang; Dehong Gao; Rujiao Long; Lei Yi; Linbo Jin; Libin Yang; Xiaoyan Cai (ACL (Findings), 2025)

CoF: Coarse to Fine-Grained Image Understanding for Multi-modal Large Language Models. - Yeyuan Wang; Dehong Gao; Bin Li; Rujiao Long; Lei Yi; Xiaoyan Cai; Libin Yang; Jinxia Zhang; Shanqing Yu; Qi Xuan 001 (ICASSP, 2025)

LORE++: Logical location regression network for table structure recognition with pre-training. - Rujiao Long; Hangdi Xing; Zhibo Yang 003; Qi Zheng 002; Zhi Yu; Fei Huang 002; Cong Yao (Pattern Recognit., 2025)