activity
20172022
most citedAdversarial Network Embedding

68 citations · 132 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2022★ 12 cited

ITTR: Unpaired Image-to-Image Translation with Transformers

Wanfeng Zheng, Qiang Li, Guoxin Zhang +2

Unpaired image-to-image translation is to translate an image from a source domain to a target domain without paired training data. By utilizing CNN in extracting local semantics, v…

cs.CV2020★ 11 cited

Siamese Keypoint Prediction Network for Visual Object Tracking

Qiang Li, Zekui Qin, Wenbo Zhang +1

Visual object tracking aims to estimate the location of an arbitrary target in a video sequence given its initial bounding box. By utilizing offline feature learning, the siamese p…

cs.LG2019

Adversarial Training Methods for Network Embedding

Quanyu Dai, Xiao Shen, Liang Zhang +2

Network Embedding is the task of learning continuous node representations for networks, which has been shown effective in a variety of tasks such as link prediction and node classi…

cs.CV2019

Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification

Qiang Li, Bo Xie, Jane You +2

In this paper, we present correlated logistic (CorrLog) model for multilabel image classification. CorrLog extends conventional logistic regression model into multilabel cases, via…

cs.SI2019★ 25 cited

Adapting Stochastic Block Models to Power-Law Degree Distributions

Maoying Qiao, Jun Yu, Wei Bian +2

Stochastic block models (SBMs) have been playing an important role in modeling clusters or community structures of network data. But, it is incapable of handling several complex fe…

cs.CV2019★ 2 cited

StyleRemix: An Interpretable Representation for Neural Image Style Transfer

Hongmin Xu, Qiang Li, Wenbo Zhang +1

Multi-Style Transfer (MST) intents to capture the high-level visual vocabulary of different styles and expresses these vocabularies in a joint model to transfer each specific style…