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Kang Zhang 0008
Person information
- affiliation: Korea Advanced Institute of Science and Technology, South Korea
- affiliation (former): Harbin Institute of Technology, Department of Microwave Engineering, China
Other persons with the same name
- Kang Zhang — disambiguation page
- Kang Zhang 0001 — University of Texas at Dallas, TX, USA
- Kang Zhang 0002 — Louisiana State University, Baton Rouge, LA, USA
- Kang Zhang 0003 — Hohai University, Nanjing, China
- Kang Zhang 0004 — Tsinghua University, Beijing, China
- Kang Zhang 0005 — JD.com, Beijing, China
- Kang Zhang 0006 — Chengde Petroleum College, Chengde, China
- Kang Zhang 0007 — Ocean University of China, Qingdao, China
Other persons with a similar name
- Jian-Kang Zhang (aka: Jiankang Zhang) — disambiguation page
- Kang-Kang Zhang
- Lankang Zhang (aka: Lan-Kang Zhang)
- Shao-Kang Zhang
- Wen-Kang Zhang
- Xiao-Kang Zhang
- Xing-Kang Zhang
- Yi-Kang Zhang
- Jian-Kang Zhang 0001 (aka: Jiankang Zhang 0001) — Bournemouth University, Department of Computing and Informatics, Poole, UK (and 2 more)
- Jian-Kang Zhang 0002 (aka: Jiankang Zhang 0002) — McMaster University, Department of Electrical and Computer Engineering, Hamilton, ON, Canada
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2020 – today
- 2024
- [j5]Axi Niu, Trung X. Pham, Kang Zhang, Jinqiu Sun, Yu Zhu, Qingsen Yan, In So Kweon, Yanning Zhang:
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution. IEEE Trans. Broadcast. 70(2): 492-504 (2024) - [j4]Joshua Tian Jin Tee, Kang Zhang, Hee Suk Yoon, Dhananjaya N. Gowda, Chanwoo Kim, Chang D. Yoo:
Physics Informed Distillation for Diffusion Models. Trans. Mach. Learn. Res. 2024 (2024) - [j3]Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon:
Towards Understanding Dual BN In Hybrid Adversarial Training. Trans. Mach. Learn. Res. 2024 (2024) - [c6]Trung X. Pham, Kang Zhang, Chang D. Yoo:
Cross-view Masked Diffusion Transformers for Person Image Synthesis. ICML 2024 - [i16]Trung X. Pham, Kang Zhang, Chang D. Yoo:
Cross-view Masked Diffusion Transformers for Person Image Synthesis. CoRR abs/2402.01516 (2024) - [i15]Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon:
Towards Understanding Dual BN In Hybrid Adversarial Training. CoRR abs/2403.19150 (2024) - [i14]Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee, Kang Zhang, Yu-Jung Heo, Du-Seong Chang, Chang D. Yoo:
BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation. CoRR abs/2408.05926 (2024) - 2023
- [j2]Trung Xuan Pham, Axi Niu, Kang Zhang, Joshua Tian Jin Tee, Ji Woo Hong, Chang D. Yoo:
Self-Supervised Visual Representation Learning via Residual Momentum. IEEE Access 11: 116706-116720 (2023) - [c5]Axi Niu, Kang Zhang, Trung X. Pham, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang:
CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution. ICIP 2023: 615-619 - [i13]Axi Niu, Kang Zhang, Trung X. Pham, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang:
CDPMSR: Conditional Diffusion Probabilistic Models for Single Image Super-Resolution. CoRR abs/2302.12831 (2023) - [i12]Axi Niu, Kang Zhang, Trung X. Pham, Pei Wang, Jinqiu Sun, In So Kweon, Yanning Zhang:
Learning from Multi-Perception Features for Real-Word Image Super-resolution. CoRR abs/2305.18547 (2023) - [i11]Axi Niu, Trung Xuan Pham, Kang Zhang, Jinqiu Sun, Yu Zhu, In So Kweon, Yanning Zhang:
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution. CoRR abs/2307.00781 (2023) - [i10]Axi Niu, Kang Zhang, Joshua Tian Jin Tee, Trung X. Pham, Jinqiu Sun, Chang D. Yoo, In So Kweon, Yanning Zhang:
DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution. CoRR abs/2311.18508 (2023) - 2022
- [c4]Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon:
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CVPR 2022: 14421-14430 - [c3]Chaoning Zhang, Philipp Benz, Adil Karjauv, Jae-Won Cho, Kang Zhang, In So Kweon:
Investigating Top-k White-Box and Transferable Black-box Attack. CVPR 2022: 15064-15073 - [c2]Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon:
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness. ECCV (30) 2022: 725-742 - [c1]Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon:
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning. ICLR 2022 - [i9]Chaoning Zhang, Kang Zhang, Axi Niu, Chenshuang Zhang, Jiu Feng, Chang D. Yoo, In So Kweon:
Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation. CoRR abs/2202.05488 (2022) - [i8]Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon:
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning. CoRR abs/2203.16262 (2022) - [i7]Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon:
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CoRR abs/2203.17248 (2022) - [i6]Chaoning Zhang, Philipp Benz, Adil Karjauv, Jae-Won Cho, Kang Zhang, In So Kweon:
Investigating Top-k White-Box and Transferable Black-box Attack. CoRR abs/2204.00089 (2022) - [i5]Agus Gunawan, Xu Yin, Kang Zhang:
Understanding and Improving Group Normalization. CoRR abs/2207.01972 (2022) - [i4]Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon:
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness. CoRR abs/2207.10899 (2022) - [i3]Chaoning Zhang, Chenshuang Zhang, Junha Song, John Seon Keun Yi, Kang Zhang, In So Kweon:
A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond. CoRR abs/2208.00173 (2022) - [i2]Trung X. Pham, Chaoning Zhang, Axi Niu, Kang Zhang, Chang D. Yoo:
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning. CoRR abs/2208.05744 (2022) - [i1]Trung X. Pham, Axi Niu, Kang Zhang, Sultan Rizky Hikmawan Madjid, Ji Woo Hong, Daehyeok Kim, Joshua Tian Jin Tee, Chang D. Yoo:
Self-Supervised Visual Representation Learning via Residual Momentum. CoRR abs/2211.09861 (2022) - 2021
- [j1]Kang Zhang, Shengchang Lan, Guiyuan Zhang:
On the Effect of Training Convolution Neural Network for Millimeter-Wave Radar-Based Hand Gesture Recognition. Sensors 21(1): 259 (2021)
Coauthor Index
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