Ye Liu

According to our database, Ye Liu authored at least 9 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Rethinking Data Perturbation and Model Stabilization for Semi-supervised Medical Image Segmentation.

Zhen Zhao, Ye Liu, Meng Zhao, Di Yin, Yixuan Yuan, Luping Zhou

CoRR, 2023

Entropy-based Optimization on Individual and Global Predictions for Semi-Supervised Learning.

Zhen Zhao, Meng Zhao, Ye Liu, Di Yin, Luping Zhou

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Unsupervised Extractive Summarization With Heterogeneous Graph Embeddings for Chinese Documents.

Chen Lin, Ye Liu, Siyu An, Di Yin

Proceedings of the IEEE International Conference on Acoustics, 2023

VKIE: The Application of Key Information Extraction on Video Text.

Siyu An, Ye Liu, Haoyuan Peng, Di Yin

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

OSAN: A One-Stage Alignment Network to Unify Multimodal Alignment and Unsupervised Domain Adaptation.

Ye Liu, Lingfeng Qiao, Changchong Lu, Di Yin, Chen Lin, Haoyuan Peng, Bo Ren

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Unsupervised Extractive Summarization with Heterogeneous Graph Embeddings for Chinese Document.

Chen Lin, Ye Liu, Siyu An, Di Yin

CoRR, 2022

Contrastive Graph Multimodal Model for Text Classification in Videos.

Ye Liu, Changchong Lu, Chen Lin, Di Yin, Bo Ren

CoRR, 2022

OS-MSL: One Stage Multimodal Sequential Link Framework for Scene Segmentation and Classification.

Ye Liu, Lingfeng Qiao, Di Yin, Zhuoxuan Jiang, Xinghua Jiang, Deqiang Jiang, Bo Ren

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Grafting Pre-trained Models for Multimodal Headline Generation.

Lingfeng Qiao, Chen Wu, Ye Liu, Haoyuan Peng, Di Yin, Bo Ren

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022