activity
20172020
most citedWhat Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation

21 citations · 52 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV20204 cited

CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation

Jiahua Dong, Yang Cong, Gan Sun +2

Unsupervised domain adaptation without consuming annotation process for unlabeled target data attracts appealing interests in semantic segmentation. However, 1) existing methods ne…

cs.CV202021 cited

What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation

Jiahua Dong, Yang Cong, Gan Sun +2

Unsupervised domain adaptation has attracted growing research attention on semantic segmentation. However, 1) most existing models cannot be directly applied into lesions transfer…

cs.CR202014 cited

Data Poisoning Attacks on Federated Machine Learning

Gan Sun, Yang Cong, Jiahua Dong +2

Federated machine learning which enables resource constrained node devices (e.g., mobile phones and IoT devices) to learn a shared model while keeping the training data local, can…

cs.CV20207 cited

L3DOC: Lifelong 3D Object Classification

Yuyang Liu, Yang Cong, Gan Sun

3D object classification has been widely-applied into both academic and industrial scenarios. However, most state-of-the-art algorithms are facing with a fixed 3D object classifica…

cs.LG2019

Lifelong Spectral Clustering

Gan Sun, Yang Cong, Qianqian Wang +2

In the past decades, spectral clustering (SC) has become one of the most effective clustering algorithms. However, most previous studies focus on spectral clustering tasks with a f…

cs.LG2019

Visual Tactile Fusion Object Clustering

Tao Zhang, Yang Cong, Gan Sun +2

Object clustering, aiming at grouping similar objects into one cluster with an unsupervised strategy, has been extensivelystudied among various data-driven applications. However, m…