Yaguan Qian

Orcid: 0000-0003-4056-9755

According to our database¹, Yaguan Qian authored at least 44 papers between 2010 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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On csauthors.net:

Bibliography

2024

Neighbor-Enhanced Representation Learning for Link Prediction in Dynamic Heterogeneous Attributed Networks.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, September, 2024

Hierarchical Threshold Pruning Based on Uniform Response Criterion.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2024

Resilient Sensor Data Dissemination to Mitigate Link Faults in IoT Networks With Long-Haul Optical Wires for Power Transmission Grids.

[BibT_eX]

[DOI]

IEEE Internet Things J., May, 2024

Enhancing Transferability of Adversarial Examples Through Mixed-Frequency Inputs.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

Robust filter pruning guided by deep frequency-features for edge intelligence.

[BibT_eX]

[DOI]

Neurocomputing, 2024

Rethinking multi-spatial information for transferable adversarial attacks on speaker recognition systems.

[BibT_eX]

[DOI]

CAAI Trans. Intell. Technol., 2024

Adversarial perturbation denoising utilizing common characteristics in deep feature space.

[BibT_eX]

[DOI]

Appl. Intell., 2024

Towards Query-Efficient Decision-Based Adversarial Attacks Through Frequency Domain.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

Adversarial training in logit space against tiny perturbations.

[BibT_eX]

[DOI]

Multim. Syst., December, 2023

Towards desirable decision boundary by Moderate-Margin Adversarial Training.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., September, 2023

Object-free backdoor attack and defense on semantic segmentation.

[BibT_eX]

[DOI]

Comput. Secur., September, 2023

Improving adversarial robustness of medical imaging systems via adding global attention noise.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, September, 2023

A projection algorithm for pseudomonotone vector fields with convex constraints on Hadamard manifolds.

[BibT_eX]

[DOI]

Numer. Algorithms, July, 2023

Adversarial attacks against Windows PE malware detection: A survey of the state-of-the-art.

[BibT_eX]

[DOI]

Comput. Secur., May, 2023

Modelling and analysis of online ride-sharing platforms - A sustainability perspective.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2023

F<sup>2</sup>AT: Feature-Focusing Adversarial Training via Disentanglement of Natural and Perturbed Patterns.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Backdoor Attacks on Object Detection in Real World.

[BibT_eX]

[DOI]

CoRR, 2023

LEA<sup>2</sup>: A Lightweight Ensemble Adversarial Attack via Non-overlapping Vulnerable Frequency Regions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Crossmodality Person Reidentification Based on Global and Local Alignment.

[BibT_eX]

[DOI]

Wirel. Commun. Mob. Comput., 2022

EI-MTD: Moving Target Defense for Edge Intelligence against Adversarial Attacks.

[BibT_eX]

[DOI]

ACM Trans. Priv. Secur., 2022

GAAT: Group Adaptive Adversarial Training to Improve the Trade-Off Between Robustness and Accuracy.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2022

Leveraging transferability and improved beam search in textual adversarial attacks.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Hessian-Free Second-Order Adversarial Examples for Adversarial Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Visually imperceptible adversarial patch attacks.

[BibT_eX]

[DOI]

Comput. Secur., 2022

Mammogram classification based on a novel convolutional neural network with efficient channel attention.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2022

NRI-FGSM: An Efficient Transferable Adversarial Attack for Speaker Recognition Systems.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Robust Network Architecture Search via Feature Distortion Restraining.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Filter Pruning via Feature Discrimination in Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Edge-Aware Guidance Fusion Network for RGB-Thermal Scene Parsing.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Versailles-FP dataset: Wall Detection in Ancient.

[BibT_eX]

[DOI]

CoRR, 2021

Person Re-identification based on Robust Features in Open-world.

[BibT_eX]

[DOI]

Yaguan Qian

Anlin Sun

CoRR, 2021

Towards Speeding up Adversarial Training in Latent Spaces.

[BibT_eX]

[DOI]

CoRR, 2021

Word-Level Textual Adversarial Attack in the Embedding Space.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Versailles-FP Dataset: Wall Detection in Ancient Floor Plans.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021

2020

Towards Imperceptible Adversarial Image Patches Based on Network Explanations.

[BibT_eX]

[DOI]

CoRR, 2020

TEAM: We Need More Powerful Adversarial Examples for DNNs.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Robust DNNs: An Taylor Expansion-Based Method for Generating Powerful Adversarial Examples.

[BibT_eX]

[DOI]

CoRR, 2020

Spot evasion attacks: Adversarial examples for license plate recognition systems with convolutional neural networks.

[BibT_eX]

[DOI]

Comput. Secur., 2020

EMSGD: An Improved Learning Algorithm of Neural Networks With Imbalanced Data.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Deep blind quality evaluator for multiply distorted images based on monogenic binary coding.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2019

Spot Evasion Attacks: Adversarial Examples for License Plate Recognition Systems with Convolution Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

2014

Dynamic load distribution with hop-by-hop forwarding based on max-min one-way delay.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2014

2010

The Exploration of Course Design of Parallel Computing in Information and Computer Science Specialty.

[BibT_eX]

[DOI]

Yaguan Qian

Xiaohui Guan

Shaolin Zhang

Proceedings of the International Conference on E-Business and E-Government, 2010

The Exploration of Teaching about Java Programming.

[BibT_eX]

[DOI]

Xiaohui Guan

Yaguan Qian

Proceedings of the International Conference on E-Business and E-Government, 2010

Yaguan Qian

Timeline

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On csauthors.net:

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