Shaozu Yuan
Meizu (China)(CN)Jingdong (China)(CN)JDSU (United States)(US)
Publications by Year
Research Areas
Multimodal Machine Learning Applications, Generative Adversarial Networks and Image Synthesis, Computer Graphics and Visualization Techniques, Advanced Image and Video Retrieval Techniques, Natural Language Processing Techniques
Most-Cited Works
- → Tackling Modality Heterogeneity with Multi-View Calibration Network for Multimodal Sentiment Detection(2023)41 cited
- → The JDDC Corpus: A Large-Scale Multi-Turn Chinese Dialogue Dataset for\n E-commerce Customer Service(2019)34 cited
- → High Accuracy Bicubic Interpolation Using Image Local Features(2007)33 cited
- → Hierarchical Attention-Based Fusion for Image Caption With Multi-Grained Rewards(2020)21 cited
- → SE-GAN: Skeleton Enhanced Gan-Based Model for Brush Handwriting Font Generation(2022)20 cited
- → MPP-net: Multi-perspective perception network for dense video captioning(2023)17 cited
- → Learning to Compose Stylistic Calligraphy Artwork with Emotions(2021)16 cited
- → Learning emotional prompt features with multiple views for visual emotion analysis(2024)11 cited
- → G^2SAM: Graph-Based Global Semantic Awareness Method for Multimodal Sarcasm Detection(2024)11 cited
- → Learning to Generate Poetic Chinese Landscape Painting with Calligraphy(2022)10 cited