453 citations · 1.5k across the 44 of their papers we have counts for
7 papers · 1 filter
Single Image Reflection Removal through Cascaded Refinement
Chao Li, Yixiao Yang, Kun He +2
We address the problem of removing undesirable reflections from a single image captured through a glass surface, which is an ill-posed, challenging but practically important proble…
Hierarchical hidden community detection for protein complex prediction
Chao Li, Kun He, Guangshuai Liu +1
Motivation: Discovering functional modules in protein-protein interaction (PPI) networks by optimization methods remains a longstanding challenge in biology. Traditional algorithms…
Robust Local Features for Improving the Generalization of Adversarial Training
Chuanbiao Song, Kun He, Jiadong Lin +2
Adversarial training has been demonstrated as one of the most effective methods for training robust models to defend against adversarial examples. However, adversarially trained mo…
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks
Jiadong Lin, Chuanbiao Song, Kun He +2
Deep learning models are vulnerable to adversarial examples crafted by applying human-imperceptible perturbations on benign inputs. However, under the black-box setting, most exist…
Adversarially Robust Generalization Just Requires More Unlabeled Data
Runtian Zhai, Tianle Cai, Di He +4
Neural network robustness has recently been highlighted by the existence of adversarial examples. Many previous works show that the learned networks do not perform well on perturbe…
A New Anchor Word Selection Method for the Separable Topic Discovery
Kun He, Wu Wang, Xiaosen Wang +1
Separable Non-negative Matrix Factorization (SNMF) is an important method for topic modeling, where "separable" assumes every topic contains at least one anchor word, defined as a…
AT-GAN: An Adversarial Generator Model for Non-constrained Adversarial Examples
Xiaosen Wang, Kun He, Chuanbiao Song +2
Despite the rapid development of adversarial machine learning, most adversarial attack and defense researches mainly focus on the perturbation-based adversarial examples, which is…