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cs.DB2026
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…
cs.LG2026
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…