6 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 1 cited
Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model
Chaochao Chen, Kevin C. Chang, Qibing Li +1
Recently latent factor model (LFM) has been drawing much attention in recommender systems due to its good performance and scalability. However, existing LFMs predict missing values…
cs.AI2018
FinBrain: When Finance Meets AI 2.0
Xiaolin Zheng, Mengying Zhu, Qibing Li +2
Artificial intelligence (AI) is the core technology of technological revolution and industrial transformation. As one of the new intelligent needs in the AI 2.0 era, financial inte…
cs.LG2017★ 6 cited
Neural Collaborative Autoencoder
Qibing Li, Xiaolin Zheng, Xinyue Wu
In recent years, deep neural networks have yielded state-of-the-art performance on several tasks. Although some recent works have focused on combining deep learning with recommenda…