6 papers
Quantum Computing and Data Processing for Frequent Itemset Mining
Yen-Hsin Hsu, Ya-Wen Teng, De-Nian Yang +3
Frequent Itemset Mining (FIM) is an important task in data analytics, where classical algorithms face scalability bottlenecks from the combinatorial growth of candidates and the me…
Toward Multi-Domain and Long-Tailed Quantization via Feature Alignment and Scaling
Ting-An Chen, Chin-Yuan Yeh, De-Nian Yang
Quantizing deep neural networks is essential for efficient inference on resource-constrained devices. However, most existing methods are designed for single-domain and class-balanc…
Human-Centric Community Detection in Hybrid Metaverse Networks with Integrated AI Entities
Shih-Hsuan Chiu, Ya-Wen Teng, De-Nian Yang +1
Community detection is a cornerstone problem in social network analysis (SNA), aimed at identifying cohesive communities with minimal external links. However, the rise of generativ…
Self-guided Knowledgeable Network of Thoughts: Amplifying Reasoning with Large Language Models
Chao-Chi Chen, Chin-Yuan Yeh, Hsi-Wen Chen +2
We introduce Knowledgeable Network of Thoughts (kNoT): a prompt scheme that advances the capabilities of large language models (LLMs) beyond existing paradigms like Chain-of-Though…
In Anticipation of Perfect Deepfake: Identity-anchored Artifact-agnostic Detection under Rebalanced Deepfake Detection Protocol
Wei-Han Wang, Chin-Yuan Yeh, Hsi-Wen Chen +2
As deep generative models advance, we anticipate deepfakes achieving "perfection"-generating no discernible artifacts or noise. However, current deepfake detectors, intentionally o…
Scalable Cost-Aware Multi-Way Influence Maximization
Hong-Han Shuai
Viral marketing is different from other marketing strategies since it leverages the influence power in intimate relationship, e.g., close friends, family members, couples. Due to t…