Shuai Liu

Orcid: 0000-0002-0327-6729

Affiliations:
  • Xi'an Jiaotong University, School of Software Engineering, China
  • Xidian University, Xi'an, China (PhD 2017)


According to our database1, Shuai Liu authored at least 15 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Robust Adversarial Defenses in Federated Learning: Exploring the Impact of Data Heterogeneity.
IEEE Trans. Inf. Forensics Secur., 2025

One-Shot Face Avatar Generation in a Single Forward Pass with Identity Preservation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

TGDrag: Adding Semantic Control into Point-based Image Editing via Text Guidance.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Spectral-Spatial Graph Convolutional Network with Dynamic-Synchronized Multiscale Features for Few-Shot Hyperspectral Image Classification.
Remote. Sens., March, 2024

A Survey of Defenses against AI-generated Visual Media: Detection, Disruption, and Authentication.
CoRR, 2024

Breaking Semantic Artifacts for Generalized AI-generated Image Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Boosting Semi-supervised Crowd Counting with Scale-based Active Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LITNT: A Target-Driven Trajectory Prediction Framework with Lane Change Intent Analysis.
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

A novel lightweight deep framework for the circular mark detection of PCB positioning.
Proceedings of the 2024 2nd Asia Conference on Computer Vision, 2024

2021
Variational Low-Rank Matrix Factorization with Multi-Patch Collaborative Learning for Hyperspectral Imagery Mixed Denoising.
Remote. Sens., 2021

Modified Deep Reinforcement Learning with Efficient Convolution Feature for Small Target Detection in VHR Remote Sensing Imagery.
ISPRS Int. J. Geo Inf., 2021

Dynamic Multichannel Sensing in Cognitive Radio: Hierarchical Reinforcement Learning.
IEEE Access, 2021

2020
Robust Nonparametric Distribution Transfer with Exposure Correction for Image Neural Style Transfer.
Sensors, 2020

One-Bit Compressed Wideband Spectrum Sensing with Adaptive Sparsity.
Proceedings of the 20th IEEE International Conference on Communication Technology, 2020

Fast Power Spectrum Estimation with Sparse Learning for Wideband Spectrum Sensing.
Proceedings of the Communications and Networking, 2020


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