Publications
2024
- Tsung-Shan Yang, Yun-Cheng Wang, Chengwei Wei, C-C Jay Kuo, “GHOI: A Green Human-object-interaction Detector”, Under review, ICME 2024.
2023
Xiou Ge, Yun-Cheng Wang, Bin Wang, C-C Jay Kuo, “Knowledge Graph Embedding: An Overview”, Available on arXiv. [paper]
Jintang Xue, Yun-Cheng Wang, Chengwei Wei, Xiaofeng Liu, Jonghye Woo, C-C Jay Kuo, “Bias and Fairness in Chatbots: An Overview”, Available on arXiv. [paper]
Yun-Cheng Wang, Jintang Xue, Chengwei Wei, C-C Jay Kuo, “An Overview on Generative AI at Scale with Edge-Cloud Computing”, IEEE Open Journal of the Communications Society, vol. 4. [paper]
Yun-Cheng Wang, Xiou Ge, Bin Wang, C-C Jay Kuo, “AsyncET: Asynchronous Representation Learning for Knowledge Graph Entity Typing”, Under review, KDD 2024.
Yun-Cheng Wang, Xiou Ge, Bin Wang, C-C Jay Kuo, “GreenKGC: A Lightweight Knowledge Graph Completion Method”, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). [paper, code]
Xiou Ge, Yun-Cheng Wang, Bin Wang, C-C Jay Kuo, “CompoundE: Knowledge Graph Embedding with Translation, Rotation and Scaling Compound Operations”, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). [paper, code]
Chengwei Wei, Yun-Cheng Wang, Bin Wang, C-C Jay Kuo, “An Overview on Language Models: Recent Developments and Outlook”, Available on arXiv. [paper]
Zhanxuan Mei, Yun-Cheng Wang, C-C Jay Kuo, “Blind Video Quality Assessment at the Edge”, Available on arXiv. [paper]
Zhanxuan Mei*, Yun-Cheng Wang*, Xingze He, Yong Yan, C-C Jay Kuo, “Lightweight High-Performance Blind Image Quality Assessment”, Available on arXiv. [paper] (equal contribution)
Xiou Ge, Yun-Cheng Wang, Bin Wang, C-C Jay Kuo, “Knowledge Graph Embedding with 3D Compound Geometric Transformations”, Available on arXiv. [paper]
Xiou Ge, Yun-Cheng Wang, Bin Wang, C-C Jay Kuo, “TypeEA: Type-Associated Embedding for Knowledge Graph Entity Alignment”, APSIPA Transactions on Signal and Information Processing, 2023. [paper]
2022
Zhanxuan Mei, Yun-Cheng Wang, Xingze He, C-C Jay Kuo, “GreenBIQA: A Lightweight Blind Image Quality Assessment Method”, IEEE MMSP, 2022. [paper, code]
Yun-Cheng Wang, Xiou Ge, Bin Wang, C-C Jay Kuo, “KGBoost: A classification-based knowledge base completion method with negative sampling”, Pattern Recognition Letters, 2022. [paper, code]
Xiou Ge, Yun-Cheng Wang, Bin Wang, C-C Jay Kuo, “CORE: A knowledge graph entity type prediction method via complex space regression and embedding”, Pattern Recognition Letters, 2022. [paper]
2020
Bin Wang, Fenxiao Chen, Yun-Cheng Wang, C-C Jay Kuo, “Efficient Sentence Embedding via Semantic Subspace Analysis”, International Conference on Pattern Recognition (ICPR), 2020. [paper, code]
Fenxiao Chen, Yun-Cheng Wang, Bin Wang, C-C Jay Kuo, “Graph Representation Learning: A Survey”, APSIPA Transactions on Signal and Information Processing, 2020. [paper, code]
2019
- Bin Wang, Angela Wang, Fenxiao Chen, Yun-Cheng Wang, C-C Jay Kuo “Evaluating word embedding models: Methods and experimental results”, APSIPA Transactions on Signal and Information Processing, 2019. [paper]