Aishan Liu - Concepedia

Author

Aishan Liu

Also Known As

Ai-Shan Liu, Aishan Liu, Gong, Ruihao, Guo, Jun, Guo, Yuanfang, Jia, Xiaohua, Liu Aishan, Liu, Aishan, Wang, Jiakai, Yang, Yaodong

159

Publications

1.8K

Citations

H-Index

Concepts

All Affiliations

Beihang University Nanyang Technological University Jingdong (China)National Science Centre The University of Sydney

About

Aishan Liu is an author at Beihang University specializing in deep learning, engineering, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	16	22	966
2	Health Sciences	3	3	74
3	Social Sciences	1	1	182
4	Biostatistics	1	1	40
5	Cognitive Science	1	1	182

Aishan Liu

Publications

1.5K

Citations

H-Index

Page 1

	Year	Citations
Perceptual-Sensitive GAN for Generating Adversarial Patches Aishan Liu, Xianglong Liu, Jiaxin Fan, Proceedings of the AAAI Conference on Artificial Intelligence Deep Neural NetworksImage AnalysisMachine LearningEngineeringGenerative Adversarial Network	2019	271
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World Jiakai Wang, Aishan Liu, Zixin Yin, Cognitive ScienceMachine VisionMachine LearningEngineeringGenerative Adversarial Network	2021	182
Training Robust Deep Neural Networks via Adversarial Noise Propagation Aishan Liu, Xianglong Liu, Hang Yu, IEEE Transactions on Image Processing	2021	101
Interpreting and Improving Adversarial Robustness of Deep Neural Networks With Neuron Sensitivity Chongzhi Zhang, Aishan Liu, Xianglong Liu, IEEE Transactions on Image Processing	2020	96
Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation Yuqing Ma, Xianglong Liu, Shihao Bai, Convolutional Neural NetworkDeep Neural NetworksMachine VisionImage AnalysisMachine Learning	2019	61
Transductive Relation-Propagation Network for Few-shot Learning Yuqing Ma, Shihao Bai, Shan An, Artificial IntelligenceFew-shot LearningEngineeringMachine LearningFew Labeled Examples	2020	58
A comprehensive evaluation framework for deep model robustness Jun Guo, Wei Bao, Jiakai Wang, Pattern Recognition	2023	58
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques Shiyu Tang, Ruihao Gong, Yan Wang, arXiv (Cornell University)	2021	51
Regionwise Generative Adversarial Image Inpainting for Large Missing Areas Yuqing Ma, Xianglong Liu, Shihao Bai, IEEE Transactions on Cybernetics Deep Neural NetworksMachine VisionMachine LearningImage AnalysisEngineering	2022	43
Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network Renshuai Tao, Hainan Li, Tianbo Wang, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) EngineeringMachine LearningShift DetectionDetection TechniqueDiagnostic Imaging	2022	40

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