5 citations · 8 across the 5 of their papers we have counts for
5 papers
Heterogeneous Graph-based Framework with Disentangled Representations Learning for Multi-target Cross Domain Recommendation
Xiaopeng Liu, Juan Zhang, Chongqi Ren +3
CDR (Cross-Domain Recommendation), i.e., leveraging information from multiple domains, is a critical solution to data sparsity problem in recommendation system. The majority of pre…
Multi-Granularity and Multi-modal Feature Interaction Approach for Text Video Retrieval
Wenjun Li, Shudong Wang, Dong Zhao +3
The key of the text-to-video retrieval (TVR) task lies in learning the unique similarity between each pair of text (consisting of words) and video (consisting of audio and image fr…
Controllable Talking Face Generation by Implicit Facial Keypoints Editing
Dong Zhao, Jiaying Shi, Wenjun Li +3
Audio-driven talking face generation has garnered significant interest within the domain of digital human research. Existing methods are encumbered by intricate model architectures…
Cross-Scale Context Extracted Hashing for Fine-Grained Image Binary Encoding
Xuetong Xue, Jiaying Shi, Xinxue He +2
Deep hashing has been widely applied to large-scale image retrieval tasks owing to efficient computation and low storage cost by encoding high-dimensional image data into binary co…
Hierarchy-Aware T5 with Path-Adaptive Mask Mechanism for Hierarchical Text Classification
Wei Huang, Chen Liu, Yihua Zhao +4
Hierarchical Text Classification (HTC), which aims to predict text labels organized in hierarchical space, is a significant task lacking in investigation in natural language proces…