Driven by the pursuit of creating the future of payments for everyone, everywhere through scientific innovation, Visa Research conducts fundamental and applied research on challenging problems in the payment industry and provide technical thought leadership for Visa's future.
SMARTQUERY: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction
Xiaoting Li, Yuhang Wu, Vineeth Rakesh Mohan, Yusan Lin, Hao Yang and Fei Wang
Quantized Wasserstein Procrustes Alignment Of Word Embedding Spaces
Prince Aboagye, Yan Zheng, Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff Phillips
Denoising Self-attentive Sequential Recommendation
Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems
Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang
Deep neural embedding
Deep graph learning, Multi-party Computation
Time series data mining
Graph learning, Advanced cryptography and Blockchain
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Collaboration is key at Visa. At Visa Research, we collaborate with thought leaders, pioneers, some of the world’s most inspired thinkers, and industry leaders to help us uncover insights into the future of payments.