Ziqiang Li

Orcid: 0000-0001-9484-2310

Affiliations:
  • University of Science and Technology of China, Hefei, Anhui, China


According to our database1, Ziqiang Li authored at least 29 papers between 2017 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm.
CoRR, 2024

2023
A Systematic Survey of Regularization and Normalization in GANs.
ACM Comput. Surv., November, 2023

A New Perspective on Stabilizing GANs Training: Direct Adversarial Training.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

Exploring the Effect of High-frequency Components in GANs Training.
ACM Trans. Multim. Comput. Commun. Appl., 2023

Enhancing Backdoor Attacks With Multi-Level MMD Regularization.
IEEE Trans. Dependable Secur. Comput., 2023

Peer is Your Pillar: A Data-unbalanced Conditional GANs for Few-shot Image Generation.
CoRR, 2023

Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks.
CoRR, 2023

Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios.
CoRR, 2023

A Proxy-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks.
CoRR, 2023

Domain Re-Modulation for Few-Shot Generative Domain Adaptation.
CoRR, 2023

Domain Re-Modulation for Few-Shot Generative Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
A Comprehensive Survey on Data-Efficient GANs in Image Generation.
CoRR, 2022

Data-Efficient Backdoor Attacks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Interpreting the Latent Space of GANs via Measuring Decoupling.
IEEE Trans. Artif. Intell., 2021

On the receptive field misalignment in CAM-based visual explanations.
Pattern Recognit. Lett., 2021

A Statistical Difference Reduction Method for Escaping Backdoor Detection.
CoRR, 2021

Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search.
CoRR, 2021

Are High-Frequency Components Beneficial for Training of Generative Adversarial Networks.
CoRR, 2021

Understanding the Error in Evaluating Adversarial Robustness.
CoRR, 2021

2020
Direct Adversarial Training for GANs.
CoRR, 2020

Regularization And Normalization For Generative Adversarial Networks: A Review.
CoRR, 2020

Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation.
CoRR, 2020

DA-RefineNet: Dual-inputs Attention RefineNet for Whole Slide Image Segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
DA-RefineNet:A Dual Input Whole Slide Image Segmentation Algorithm Based on Attention.
CoRR, 2019

ResAttr-GAN: Unpaired Deep Residual Attributes Learning for Multi-Domain Face Image Translation.
IEEE Access, 2019

2017
Load-Balancing Software-Defined Networking Through Hybrid Routing.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2017

Developer Teams on Bug Resolution: An Empirical Study on Mozilla Firefox and Eclipse JDT Projects.
Proceedings of the 24th Asia-Pacific Software Engineering Conference Workshops, 2017


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