42 citations · 49 across the 6 of their papers we have counts for
6 papers
Learning Unsupervised Gaze Representation via Eye Mask Driven Information Bottleneck
Yangzhou Jiang, Yinxin Lin, Yaoming Wang +3
Appearance-based supervised methods with full-face image input have made tremendous advances in recent gaze estimation tasks. However, intensive human annotation requirement inhibi…
Energy Attack: On Transferring Adversarial Examples
Ruoxi Shi, Borui Yang, Yangzhou Jiang +2
In this work we propose Energy Attack, a transfer-based black-box -adversarial attack. The attack is parameter-free and does not require gradient approximation. In partic…
MUSE: Multi-Scale Temporal Features Evolution for Knowledge Tracing
Chengwei Zhang, Yangzhou Jiang, Wei Zhang +1
Transformer based knowledge tracing model is an extensively studied problem in the field of computer-aided education. By integrating temporal features into the encoder-decoder stru…
Learning Black-Box Attackers with Transferable Priors and Query Feedback
Jiancheng Yang, Yangzhou Jiang, Xiaoyang Huang +2
This paper addresses the challenging black-box adversarial attack problem, where only classification confidence of a victim model is available. Inspired by consistency of visual sa…
Neural Architecture Refinement: A Practical Way for Avoiding Overfitting in NAS
Yang Jiang, Cong Zhao, Zeyang Dou +1
Neural architecture search (NAS) is proposed to automate the architecture design process and attracts overwhelming interest from both academia and industry. However, it is confront…
An Effective Training Method For Deep Convolutional Neural Network
Yang Jiang, Zeyang Dou, Qun Hao +3
In this paper, we propose the nonlinearity generation method to speed up and stabilize the training of deep convolutional neural networks. The proposed method modifies a family of…