Grafting Pre-trained Models for Multimodal Headline Generation. - Lingfeng Qiao; Chen Wu; Ye Liu 013; Haoyuan Peng; Di Yin; Bo Ren 002 (EMNLP (Industry Track), 2022)

OS-MSL: One Stage Multimodal Sequential Link Framework for Scene Segmentation and Classification. - Ye Liu 013; Lingfeng Qiao; Di Yin; Zhuoxuan Jiang; Xinghua Jiang; Deqiang Jiang; Bo Ren 002 (ACM Multimedia, 2022)

Contrastive Graph Multimodal Model for Text Classification in Videos. - Ye Liu 013; Changchong Lu; Chen Lin; Di Yin; Bo Ren 002 (CoRR, 2022)

Unsupervised Extractive Summarization with Heterogeneous Graph Embeddings for Chinese Document. - Chen Lin; Ye Liu 013; Siyu An; Di Yin (CoRR, 2022)

OSAN: A One-Stage Alignment Network to Unify Multimodal Alignment and Unsupervised Domain Adaptation. - Ye Liu 013; Lingfeng Qiao; Changchong Lu; Di Yin; Chen Lin; Haoyuan Peng; Bo Ren 002 (CVPR, 2023)

VKIE: The Application of Key Information Extraction on Video Text. - Siyu An; Ye Liu 013; Haoyuan Peng; Di Yin (EMNLP (Industry Track), 2023)

Unsupervised Extractive Summarization With Heterogeneous Graph Embeddings for Chinese Documents. - Chen Lin; Ye Liu 013; Siyu An; Di Yin (ICASSP, 2023)

Entropy-based Optimization on Individual and Global Predictions for Semi-Supervised Learning. - Zhen Zhao 001; Meng Zhao 003; Ye Liu 013; Di Yin; Luping Zhou (ACM Multimedia, 2023)

Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation. - Zhen Zhao 001; Ye Liu 013; Meng Zhao 003; Di Yin; Yixuan Yuan; Luping Zhou (CoRR, 2023)