activity
20192022
most citedD-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction

27 citations · 60 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2022★ 1 cited

Security and Privacy in Big Data Sharing: State-of-the-Art and Research Directions

Houda Ferradi, Jiannong Cao, Shan Jiang +2

Big Data Sharing (BDS) refers to the act of the data owners to share data so that users can find, access and use data according to the agreement. In recent years, BDS has been an e…

cs.LG2022★ 23 cited

AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets

Yuqing Zhao, Divya Saxena, Jiannong Cao

Managing heterogeneous datasets that vary in complexity, size, and similarity in continual learning presents a significant challenge. Task-agnostic continual learning is necessary…

cs.LG2021★ 1 cited

Time Series Clustering for Human Behavior Pattern Mining

Rohan Kabra, Divya Saxena, Dhaval Patel +1

Human behavior modeling deals with learning and understanding behavior patterns inherent in humans' daily routines. Existing pattern mining techniques either assume human dynamics…

cs.LG2020★ 8 cited

Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions

Divya Saxena, Jiannong Cao

Generative Adversarial Networks (GANs) is a novel class of deep generative models which has recently gained significant attention. GANs learns complex and high-dimensional distribu…

cs.LG2019★ 27 cited

D-GAN: Deep Generative Adversarial Nets for Spatio-Temporal Prediction

Divya Saxena, Jiannong Cao

Spatio-temporal (ST) data for urban applications, such as taxi demand, traffic flow, regional rainfall is inherently stochastic and unpredictable. Recently, deep learning based ST…