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2020 – today
- 2024
[j4]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]Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao:
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object. CVPR 2024: 21752-21762 - [c5]Fei Pan, Dong He, Xu Yin, Chenshuang Zhang, Munchurl Kim:
MacDC: Masking-augmented Collaborative Domain Congregation for Multi-target Domain Adaptation in Semantic Segmentation. IV 2024: 3185-3191 - [i16]Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao:
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object. CoRR abs/2403.18775 (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) - 2023
- [c4]Chaoning Zhang, Chenshuang Zhang, Junha Song, John Seon Keun Yi, In So Kweon:
A Survey on Masked Autoencoder for Visual Self-supervised Learning. IJCAI 2023: 6805-6813 - [i14]Chenshuang Zhang, Chaoning Zhang, Mengchun Zhang, In So Kweon:
Text-to-image Diffusion Models in Generative AI: A Survey. CoRR abs/2303.07909 (2023) - [i13]Chaoning Zhang, Chenshuang Zhang, Sheng Zheng, Yu Qiao, Chenghao Li, Mengchun Zhang, Sumit Kumar Dam, Chu Myaet Thwal, Ye Lin Tun, Le Luang Huy, Dong Uk Kim, Sung-Ho Bae, Lik-Hang Lee, Yang Yang, Heng Tao Shen, In So Kweon, Choong Seon Hong:
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? CoRR abs/2303.11717 (2023) - [i12]Chenshuang Zhang, Chaoning Zhang, Sheng Zheng, Mengchun Zhang, Maryam Qamar, Sung-Ho Bae, In So Kweon:
A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI. CoRR abs/2303.13336 (2023) - [i11]Mengchun Zhang, Maryam Qamar, Taegoo Kang, Yuna Jung, Chenshuang Zhang, Sung-Ho Bae, Chaoning Zhang:
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material. CoRR abs/2304.01565 (2023) - [i10]Chaoning Zhang, Chenshuang Zhang, Chenghao Li, Yu Qiao, Sheng Zheng, Sumit Kumar Dam, Mengchun Zhang, Jung Uk Kim, Seong Tae Kim, Jinwoo Choi, Gyeong-Moon Park, Sung-Ho Bae, Lik-Hang Lee, Pan Hui, In So Kweon, Choong Seon Hong:
One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era. CoRR abs/2304.06488 (2023) - [i9]Chenshuang Zhang, Chaoning Zhang, Taegoo Kang, Donghun Kim, Sung-Ho Bae, In So Kweon:
Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples. CoRR abs/2305.00866 (2023) - [i8]Chaoning Zhang, Sheng Zheng, Chenghao Li, Yu Qiao, Taegoo Kang, Xinru Shan, Chenshuang Zhang, Caiyan Qin, François Rameau, Sung-Ho Bae, Choong Seon Hong:
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering. CoRR abs/2306.06211 (2023) - [i7]Yu Qiao, Chaoning Zhang, Taegoo Kang, Donghun Kim, Shehbaz Tariq, Chenshuang Zhang, Choong Seon Hong:
Robustness of SAM: Segment Anything Under Corruptions and Beyond. CoRR abs/2306.07713 (2023) - [i6]Chaoning Zhang, Yu Qiao, Shehbaz Tariq, Sheng Zheng, Chenshuang Zhang, Chenghao Li, Hyundong Shin, Choong Seon Hong:
Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape. CoRR abs/2311.11465 (2023) - 2022
- [c3]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 - [c2]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 - [i5]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) - [i4]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) - [i3]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) - [i2]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)
2010 – 2019
- 2019
- [j3]Han sun, Chenshuang Zhang, Yunyun Ma, Mengyan Du, Tongsheng Chen:
Controlling and online measurement of automatic dual-channel E-FRET microscope. Biomed. Signal Process. Control. 53 (2019) - [j2]Guijin Wang, Chenshuang Zhang, Yongpan Liu, Huazhong Yang, Dapeng Fu, Haiqing Wang, Ping Zhang:
A global and updatable ECG beat classification system based on recurrent neural networks and active learning. Inf. Sci. 501: 523-542 (2019) - 2018
- [c1]Pengwei Xie, Guijin Wang, Chenshuang Zhang, Ming Chen, Huazhong Yang, Tingting Lv, Zhenhua Sang, Ping Zhang:
Bidirectional Recurrent Neural Network And Convolutional Neural Network (BiRCNN) For ECG Beat Classification. EMBC 2018: 2555-2558 - [i1]Wenjin Wu, Guojun Liu, Hui Ye, Chenshuang Zhang, Tianshu Wu, Daorui Xiao, Wei Lin, Xiaoyu Zhu:
EENMF: An End-to-End Neural Matching Framework for E-Commerce Sponsored Search. CoRR abs/1812.01190 (2018) - 2015
- [j1]Yunquan Dong, Chenshuang Zhang, Pingyi Fan, Pingzhi Fan:
Power-space functions in high speed railway wireless communications. J. Commun. Networks 17(3): 231-240 (2015)
Coauthor Index
aka: In So Kweon
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