600 citations · 1.3k across the 42 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.IR2019★ 26 cited
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification
Hao Peng, Jianxin Li, Qiran Gong +5
CNNs, RNNs, GCNs, and CapsNets have shown significant insights in representation learning and are widely used in various text mining tasks such as large-scale multi-label text clas…
cs.LG2019★ 1 cited
Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling
Hao Peng, Jianxin Li, Hao Yan +5
Network representation learning, as an approach to learn low dimensional representations of vertices, has attracted considerable research attention recently. It has been proven ext…
cs.CV2019★ 6 cited
Understanding Beauty via Deep Facial Features
Xudong Liu, Tao Li, Hao Peng +3
The concept of beauty has been debated by philosophers and psychologists for centuries, but most definitions are subjective and metaphysical, and deficit in accuracy, generality, a…