activity
20232025
most citedFATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data

12 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

TREASURE: The Visa Payment Foundation Model for High-Volume Transaction Understanding

Chin-Chia Michael Yeh, Uday Singh Saini, Xin Dai +12

Payment networks form the backbone of modern commerce, generating high volumes of transaction records from daily activities. Properly modeling this data can enable applications suc…

cs.LG2025

TransactionGPT

Yingtong Dou, Zhimeng Jiang, Tianyi Zhang +26

We present TransactionGPT (TGPT), a foundation model for consumer transaction data within one of the world's largest payment networks. TGPT is designed to understand and generate t…

cs.SI2024

Preserving Individuality while Following the Crowd: Understanding the Role of User Taste and Crowd Wisdom in Online Product Rating Prediction

Liang Wang, Shubham Jain, Yingtong Dou +9

Numerous algorithms have been developed for online product rating prediction, but the specific influence of user and product information in determining the final prediction score r…

cs.CL2024

Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach

Prince Aboagye, Yan Zheng, Junpeng Wang +8

The emergence of pre-trained models has significantly impacted Natural Language Processing (NLP) and Computer Vision to relational datasets. Traditionally, these models are assesse…

cs.LG2023★ 12 cited

FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data

Dongyu Zhang, Liang Wang, Xin Dai +7

Sequential tabular data is one of the most commonly used data types in real-world applications. Different from conventional tabular data, where rows in a table are independent, seq…