activity
20192025
most citedAttributed Sequence Embedding

14 citations · 54 across the 32 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.LG2020★ 1 cited

MLAS: Metric Learning on Attributed Sequences

Zhongfang Zhuang, Xiangnan Kong, Elke Rundensteiner +2

Distance metric learning has attracted much attention in recent years, where the goal is to learn a distance metric based on user feedback. Conventional approaches to metric learni…

cs.LG2020★ 3 cited

Merchant Category Identification Using Credit Card Transactions

Chin-Chia Michael Yeh, Zhongfang Zhuang, Yan Zheng +3

Digital payment volume has proliferated in recent years with the rapid growth of small businesses and online shops. When processing these digital transactions, recognizing each mer…

cs.LG2020★ 6 cited

Towards a Flexible Embedding Learning Framework

Chin-Chia Michael Yeh, Dhruv Gelda, Zhongfang Zhuang +3

Representation learning is a fundamental building block for analyzing entities in a database. While the existing embedding learning methods are effective in various data mining pro…

q-fin.ST2020★ 4 cited

Multi-stream RNN for Merchant Transaction Prediction

Zhongfang Zhuang, Chin-Chia Michael Yeh, Liang Wang +2

Recently, digital payment systems have significantly changed people's lifestyles. New challenges have surfaced in monitoring and guaranteeing the integrity of payment processing sy…

cs.LG2020★ 3 cited

Multi-future Merchant Transaction Prediction

Chin-Chia Michael Yeh, Zhongfang Zhuang, Wei Zhang +1

The multivariate time series generated from merchant transaction history can provide critical insights for payment processing companies. The capability of predicting merchants' fut…