Kang Zhang

Orcid: 0000-0003-2761-9383

Affiliations:
  • Korea Advanced Institute of Science and Technology, South Korea
  • Harbin Institute of Technology, Department of Microwave Engineering, China (former)


According to our database1, Kang Zhang authored at least 20 papers between 2021 and 2024.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution.
IEEE Trans. Broadcast., June, 2024

Towards Understanding Dual BN In Hybrid Adversarial Training.
Trans. Mach. Learn. Res., 2024

Physics Informed Distillation for Diffusion Models.
Trans. Mach. Learn. Res., 2024

Cross-view Masked Diffusion Transformers for Person Image Synthesis.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution.
CoRR, 2023

ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution.
CoRR, 2023

Learning from Multi-Perception Features for Real-Word Image Super-resolution.
CoRR, 2023

Self-Supervised Visual Representation Learning via Residual Momentum.
IEEE Access, 2023

CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Self-Supervised Visual Representation Learning via Residual Momentum.
CoRR, 2022

On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning.
CoRR, 2022

A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond.
CoRR, 2022

Understanding and Improving Group Normalization.
CoRR, 2022

Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation.
CoRR, 2022

How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness.
Proceedings of the Computer Vision - ECCV 2022, 2022

Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Investigating Top-k White-Box and Transferable Black-box Attack.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
On the Effect of Training Convolution Neural Network for Millimeter-Wave Radar-Based Hand Gesture Recognition.
Sensors, 2021


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