285 citations · 966 across the 40 of their papers we have counts for
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3 papers · 1 filter
cs.LG2017
RUM: network Representation learning throUgh Multi-level structural information preservation
Yanlei Yu, Zhiwu Lu, Jiajun Liu +3
We have witnessed the discovery of many techniques for network representation learning in recent years, ranging from encoding the context in random walks to embedding the lower ord…
cs.CV2017★ 7 cited
Multi-Modal Multi-Scale Deep Learning for Large-Scale Image Annotation
Yulei Niu, Zhiwu Lu, Ji-Rong Wen +2
Image annotation aims to annotate a given image with a variable number of class labels corresponding to diverse visual concepts. In this paper, we address two main issues in large-…
cs.CV2017★ 4 cited
Zero-Shot Fine-Grained Classification by Deep Feature Learning with Semantics
Aoxue Li, Zhiwu Lu, Liwei Wang +3
Fine-grained image classification, which aims to distinguish images with subtle distinctions, is a challenging task due to two main issues: lack of sufficient training data for eve…