Understanding and Identifying Artwork Plagiarism with the Wisdom of Designers: A Case Study on Poster Artworks. - Shenglan Cui; Fang Liu 002; Tongqing Zhou; Mohan Zhang (ACM Multimedia, 2022)

Feature fusion via multi-target learning for ancient artwork captioning. - Fang Liu 002; Mohan Zhang; Baoying Zheng; Shenglan Cui; Wentao Ma; Zhixiong Liu (Inf. Fusion, 2023)

Image captioning for cultural artworks: a case study on ceramics. - Baoying Zheng; Fang Liu 002; Mohan Zhang; Tongqing Zhou; Shenglan Cui; Yunfan Ye; Yeting Guo (Multim. Syst., 2023)

FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art Commissions. - Changjuan Ran; Yeting Guo; Fang Liu 002; Shenglan Cui; Yunfan Ye (ICME, 2024)

Smart "Error"! Exploring Imperfect AI to Support Creative Ideation. - Fang Liu 002; Junyan Lv; Shenglan Cui; Zhilong Luan; Kui Wu 001; Tongqing Zhou (Proc. ACM Hum. Comput. Interact., 2024)

Fixing the Double Agent Vulnerability of Deep Watermarking: A Patch-Level Solution Against Artwork Plagiarism. - Yuanjing Luo; Tongqing Zhou; Shenglan Cui; Yunfan Ye; Fang Liu 002; Zhiping Cai (IEEE Trans. Circuits Syst. Video Technol., 2024)

Integrating conceptual and visual representations with domain expertise for scalable visual plagiarism detection. - Shenglan Cui; Zhixiong Liu; Fang Liu 002; Yunfan Ye; Mohan Zhang (Expert Syst. Appl., 2025)

ACIH-VQT: aesthetic constraints incorporated hierarchical VQ-transformer for text logo synthesis. - Zhixiong Liu; Fang Liu 002; Mohan Zhang; Shenglan Cui (Multim. Syst., 2025)