no code implementations • 30 Mar 2024 • Zhanxuan Mei, Yun-Cheng Wang, C. -C. Jay Kuo
Image saliency detection is crucial in understanding human gaze patterns from visual stimuli.
no code implementations • 21 Sep 2023 • Xiou Ge, Yun-Cheng Wang, Bin Wang, C. -C. Jay Kuo
We will also discuss an emerging approach for KG completion which leverages pre-trained language models (PLMs) and textual descriptions of entities and relations and offer insights into the integration of KGE embedding methods with PLMs for KG completion.
no code implementations • 16 Sep 2023 • Jintang Xue, Yun-Cheng Wang, Chengwei Wei, Xiaofeng Liu, Jonghye Woo, C. -C. Jay Kuo
Thus, a comprehensive overview on bias and fairness in chatbot systems is given in this paper.
no code implementations • 30 Aug 2023 • Yun-Cheng Wang, Xiou Ge, Bin Wang, C. -C. Jay Kuo
Previously, KG embedding (KGE) methods tried to solve the KGET task by introducing an auxiliary relation, 'hasType', to model the relationship between entities and their types.
no code implementations • 17 Jun 2023 • Zhanxuan Mei, Yun-Cheng Wang, C. -C. Jay Kuo
The usage of deep-learning-based methods is restricted to be applied at the edge due to their large model sizes and high computational complexity.
no code implementations • 2 Jun 2023 • Yun-Cheng Wang, Jintang Xue, Chengwei Wei, C. -C. Jay Kuo
The rapid development of GenAI systems has created a huge amount of new data on the Internet, posing new challenges to current computing and communication frameworks.
1 code implementation • 1 Apr 2023 • Xiou Ge, Yun-Cheng Wang, Bin Wang, C. -C. Jay Kuo
The cascade of 2D geometric transformations were exploited to model relations between entities in a knowledge graph (KG), leading to an effective KG embedding (KGE) model, CompoundE.
Ranked #7 on Link Property Prediction on ogbl-wikikg2
no code implementations • 23 Mar 2023 • Zhanxuan Mei, Yun-Cheng Wang, Xingze He, Yong Yan, C. -C. Jay Kuo
Blind image quality assessment (BIQA) is a task that predicts the perceptual quality of an image without its reference.
no code implementations • 10 Mar 2023 • Chengwei Wei, Yun-Cheng Wang, Bin Wang, C. -C. Jay Kuo
Language modeling studies the probability distributions over strings of texts.
1 code implementation • 19 Aug 2022 • Yun-Cheng Wang, Xiou Ge, Bin Wang, C. -C. Jay Kuo
Knowledge graph completion (KGC) aims to discover missing relationships between entities in knowledge graphs (KGs).
Ranked #21 on Link Prediction on FB15k-237
no code implementations • 12 Jul 2022 • Xiou Ge, Yun-Cheng Wang, Bin Wang, C. -C. Jay Kuo
Since translation, rotation, and scaling operations are cascaded to form a compound one, the new model is named CompoundE.
no code implementations • 29 Jun 2022 • Zhanxuan Mei, Yun-Cheng Wang, Xingze He, C. -C. Jay Kuo
Deep neural networks (DNNs) achieve great success in blind image quality assessment (BIQA) with large pre-trained models in recent years.
no code implementations • 19 Dec 2021 • Xiou Ge, Yun-Cheng Wang, Bin Wang, C. -C. Jay Kuo
A new KG entity type prediction method, named CORE (COmplex space Regression and Embedding), is proposed in this work.
no code implementations • 17 Dec 2021 • Yun-Cheng Wang, Xiou Ge, Bin Wang, C. -C. Jay Kuo
Knowledge base completion is formulated as a binary classification problem in this work, where an XGBoost binary classifier is trained for each relation using relevant links in knowledge graphs (KGs).