Can He

According to our database, Can He authored at least 30 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FabricFolding: learning efficient fabric folding without expert demonstrations.

Can He, Lingxiao Meng, Zhirui Sun, Jiankun Wang, Max Q.-H. Meng

Robotica, 2024

Enhancing fusarium head blight detection in wheat crops using hyperspectral indices and machine learning classifiers.

Ghulam Mustafa, Hengbiao Zheng, Imran Haider Khan, Jie Zhu, Tao Yang, Aiguo Wang, Bowen Xue, Can He, Haiyan Jia, Guoqiang Li, Tao Cheng, Weixing Cao, Yan Zhu, Xia Yao

Comput. Electron. Agric., 2024

2023

A framework combined stacking ensemble algorithm to classify crop in complex agricultural landscape of high altitude regions with Gaofen-6 imagery and elevation data.

Zhiyuan Ma, Wei Li, Timothy A. Warner, Can He, Xue Wang, Yu Zhang, Caili Guo, Tao Cheng, Yan Zhu, Weixing Cao, Xia Yao

Int. J. Appl. Earth Obs. Geoinformation, August, 2023

Evaluation of Three Land Surface Temperature Products From Landsat Series Using in Situ Measurements.

Mengmeng Wang, Can He, Zhengjia Zhang, Tian Hu, Sibo Duan, Kaniska Mallick, Hua Li, Xiuguo Liu

IEEE Trans. Geosci. Remote. Sens., 2023

Use the Spear as a Shield: An Adversarial Example Based Privacy-Preserving Technique Against Membership Inference Attacks.

Mingfu Xue, Chengxiang Yuan, Can He, Yinghao Wu, Zhiyu Wu, Yushu Zhang, Zhe Liu, Weiqiang Liu

IEEE Trans. Emerg. Top. Comput., 2023

ActiveGuard: An active intellectual property protection technique for deep neural networks by leveraging adversarial examples as users' fingerprints.

Mingfu Xue, Shichang Sun, Can He, Dujuan Gu, Yushu Zhang, Jian Wang, Weiqiang Liu

IET Comput. Digit. Tech., 2023

FabricFolding: Learning Efficient Fabric Folding without Expert Demonstrations.

Can He, Lingxiao Meng, Jiankun Wang, Max Q.-H. Meng

CoRR, 2023

2022

One-to-N & N-to-One: Two Advanced Backdoor Attacks Against Deep Learning Models.

Mingfu Xue, Can He, Jian Wang, Weiqiang Liu

IEEE Trans. Dependable Secur. Comput., 2022

Evaluation of Diverse Convolutional Neural Networks and Training Strategies for Wheat Leaf Disease Identification with Field-Acquired Photographs.

Jiale Jiang, Haiyan Liu, Chen Zhao, Can He, Jifeng Ma, Tao Cheng, Yan Zhu, Weixing Cao, Xia Yao

Remote. Sens., 2022

PTB: Robust physical backdoor attacks against deep neural networks in real world.

Mingfu Xue, Can He, Yinghao Wu, Shichang Sun, Yushu Zhang, Jian Wang, Weiqiang Liu

Comput. Secur., 2022

Reliability assessment of a multi-state distribution network under cost and spoilage considerations.

Yi-Feng Niu, Can He, Deqiang Fu

Ann. Oper. Res., 2022

2021

Backdoors hidden in facial features: a novel invisible backdoor attack against face recognition systems.

Mingfu Xue, Can He, Jian Wang, Weiqiang Liu

Peer-to-Peer Netw. Appl., 2021

NaturalAE: Natural and robust physical adversarial examples for object detectors.

Mingfu Xue, Chengxiang Yuan, Can He, Jian Wang, Weiqiang Liu

J. Inf. Secur. Appl., 2021

SocialGuard: An adversarial example based privacy-preserving technique for social images.

Mingfu Xue, Shichang Sun, Zhiyu Wu, Can He, Jian Wang, Weiqiang Liu

J. Inf. Secur. Appl., 2021

ActiveGuard: An Active DNN IP Protection Technique via Adversarial Examples.

Mingfu Xue, Shichang Sun, Can He, Yushu Zhang, Jian Wang, Weiqiang Liu

CoRR, 2021

Robust Backdoor Attacks against Deep Neural Networks in Real Physical World.

Mingfu Xue, Can He, Shichang Sun, Jian Wang, Weiqiang Liu

Proceedings of the 20th IEEE International Conference on Trust, 2021

Customized Instruction on RISC-V for Winograd-Based Convolution Acceleration.

Shihang Wang, Jianghan Zhu, Qi Wang, Can He, Terry Tao Ye

Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

2020

3D Invisible Cloak.

Mingfu Xue, Can He, Zhiyu Wu, Jian Wang, Zhe Liu, Weiqiang Liu

CoRR, 2020

Use the Spear as a Shield: A Novel Adversarial Example based Privacy-Preserving Technique against Membership Inference Attacks.

Mingfu Xue, Chengxiang Yuan, Can He, Zhiyu Wu, Yushu Zhang, Zhe Liu, Weiqiang Liu

CoRR, 2020

Robust and Natural Physical Adversarial Examples for Object Detectors.

Mingfu Xue, Chengxiang Yuan, Can He, Jian Wang, Weiqiang Liu

CoRR, 2020

DNN Intellectual Property Protection: Taxonomy, Methods, Attack Resistance, and Evaluations.

Mingfu Xue, Can He, Jian Wang, Weiqiang Liu

CoRR, 2020

LOPA: A linear offset based poisoning attack method against adaptive fingerprint authentication system.

Mingfu Xue, Can He, Jian Wang, Weiqiang Liu

Comput. Secur., 2020

A Minimal Path-Based Method for Computing Multistate Network Reliability.

Xiu-Zhen Xu, Yi-Feng Niu, Can He

Complex., 2020

Capacity Reliability Calculation and Sensitivity Analysis for a Stochastic Transport Network.

Yi-Feng Niu, Xiu-Zhen Xu, Can He, Dong Ding, Zhi-Zhong Liu

IEEE Access, 2020

Active DNN IP Protection: A Novel User Fingerprint Management and DNN Authorization Control Technique.

Mingfu Xue, Zhiyu Wu, Can He, Jian Wang, Weiqiang Liu

Proceedings of the 19th IEEE International Conference on Trust, 2020

Embedding Backdoors as the Facial Features: Invisible Backdoor Attacks Against Face Recognition Systems.

Can He, Mingfu Xue, Jian Wang, Weiqiang Liu

Proceedings of the ACM TUR-C'20: ACM Turing Celebration Conference, 2020

2017

A Particle Swarm Optimization Technique-Based Parametric Wavelet Thresholding Function for Signal Denoising.

Xun Zhang, Juelong Li, Jianchun Xing, Ping Wang, Qiliang Yang, Can He

Circuits Syst. Signal Process., 2017

Clustering Analysis Based on Segmented Images.

Hongxu Zheng, Jianlun Wang, Can He

Proceedings of the Machine Learning and Intelligent Communications, 2017

2015

A New Image Decomposition and Reconstruction Approach - Adaptive Fourier Decomposition.

Can He, Liming Zhang, Xiangjian He, Wenjing Jia

Proceedings of the MultiMedia Modeling - 21st International Conference, 2015

2013

A Combined Optimal Sensor Placement Strategy for the Structural Health Monitoring of Bridge Structures.

Can He, Jianchun Xing, Juelong Li, Qiliang Yang, Ronghao Wang, Xun Zhang

Int. J. Distributed Sens. Networks, 2013