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20202023
most citedDeep Synthetic Minority Over-Sampling Technique

29 citations · 91 across the 20 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

cs.CV2020★ 4 cited

ProxylessKD: Direct Knowledge Distillation with Inherited Classifier for Face Recognition

Weidong Shi, Guanghui Ren, Yunpeng Chen +1

Knowledge Distillation (KD) refers to transferring knowledge from a large model to a smaller one, which is widely used to enhance model performance in machine learning. It tries to…

cs.LG2020

Towards Stable Imbalanced Data Classification via Virtual Big Data Projection

Hadi Mansourifar, Weidong Shi

Virtual Big Data (VBD) proved to be effective to alleviate mode collapse and vanishing generator gradient as two major problems of Generative Adversarial Neural Networks (GANs) ver…

cs.CV2020★ 2 cited

Vulnerability of Face Recognition Systems Against Composite Face Reconstruction Attack

Hadi Mansourifar, Weidong Shi

Rounding confidence score is considered trivial but a simple and effective countermeasure to stop gradient descent based image reconstruction attacks. However, its capability in th…

cs.CC2020

Computational Complexity Characterization of Protecting Elections from Bribery

Lin Chen, Ahmed Sunny, Lei Xu +5

The bribery problem in election has received considerable attention in the literature, upon which various algorithmic and complexity results have been obtained. It is thus natural…

cs.CV2020★ 9 cited

One-Shot GAN Generated Fake Face Detection

Hadi Mansourifar, Weidong Shi

Fake face detection is a significant challenge for intelligent systems as generative models become more powerful every single day. As the quality of fake faces increases, the train…

cs.LG2020★ 29 cited

Deep Synthetic Minority Over-Sampling Technique

Hadi Mansourifar, Weidong Shi

Synthetic Minority Over-sampling Technique (SMOTE) is the most popular over-sampling method. However, its random nature makes the synthesized data and even imbalanced classificatio…

cs.AI2020★ 8 cited

Hybrid Cryptocurrency Pump and Dump Detection

Hadi Mansourifar, Lin Chen, Weidong Shi

Increasingly growing Cryptocurrency markets have become a hive for scammers to run pump and dump schemes which is considered as an anomalous activity in exchange markets. Anomaly d…

math.NA2020★ 11 cited

Algebraic multigrid block preconditioning for multi-group radiation diffusion equations

Xiaoqiang Yue, Shulei Zhang, Xiaowen Xu +2

The paper focuses on developing and studying efficient block preconditioners based on classical algebraic multigrid for the large-scale sparse linear systems arising from the fully…

cs.CR2020★ 4 cited

Nonlinear Blockchain Scalability: a Game-Theoretic Perspective

Lin Chen, Lei Xu, Zhimin Gao +3

Recent advances in the blockchain research have been made in two important directions. One is refined resilience analysis utilizing game theory to study the consequences of selfish…