4 accepted papers
The pre-trained models contain multitudinous knowledge from huge amount of data. However, when applying these models to downstream tasks, they may mis-locate to wrong knowledge distribution due to a lack of domain or contextual knowledge. To address the distribution bias between the pre-trained mode…
Recent advances in cross-technology communication (CTC) enable heterogeneous wireless devices (e.g., WiFi, Zig-Bee, and BLE) operating in the ISM band to communicate and understand each other. However, due to the limitation of standards and devices, existing CTC techniques need to design specific sc…
Multimodal knowledge graphs (KGs) have found widespread applications in data integration and processing, yet existing multimodal knowledge graphs are often highly incomplete, which impedes their wide adoption. Thereby multimodal knowledge graph completion (MKGC) has attracted widespread attention. H…
Recent advances in 3D point cloud completion adopt unsupervised deep learning-based methods, which does not rely on labeled data and improves generalization ability. However, existing methods tend to focus more on the generation overall shape rather than detailed structure. To explore unsupervised 3…