271 citations · 596 across the 31 of their papers we have counts for
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cs.LG2019★ 6 cited
Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling
Qitian Wu, Zixuan Zhang, Xiaofeng Gao +2
We target modeling latent dynamics in high-dimension marked event sequences without any prior knowledge about marker relations. Such problem has been rarely studied by previous wor…
cs.LG2019★ 1 cited
Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators
Qitian Wu, Rui Gao, Hongyuan Zha
There are two types of deep generative models: explicit and implicit. The former defines an explicit density form that allows likelihood inference; while the latter targets a flexi…
cs.IR2019★ 271 cited
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems
Qitian Wu, Hengrui Zhang, Xiaofeng Gao +4
Social recommendation leverages social information to solve data sparsity and cold-start problems in traditional collaborative filtering methods. However, most existing models assu…