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Chenshuang Zhang
Chenshuang Zhang
KAIST, Tsinghua University
在 kaist.ac.kr 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Text-to-image Diffusion Model in Generative AI: A Survey
C Zhang, C Zhang, M Zhang, IS Kweon
arXiv preprint arXiv:2303.07909, 2023
1882023
A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need?
C Zhang, C Zhang, S Zheng, Y Qiao, C Li, M Zhang, SK Dam, CM Thwal, ...
arXiv preprint arXiv:2303.11717, 2023
1442023
Patient-specific ECG classification based on recurrent neural networks and clustering technique
C Zhang, G Wang, J Zhao, P Gao, J Lin, H Yang
2017 13th IASTED International Conference on Biomedical Engineering (BioMed …, 2017
1292017
One small step for generative ai, one giant leap for agi: A complete survey on chatgpt in aigc era
C Zhang, C Zhang, C Li, Y Qiao, S Zheng, SK Dam, M Zhang, JU Kim, ...
arXiv preprint arXiv:2304.06488, 2023
1262023
A global and updatable ECG beat classification system based on recurrent neural networks and active learning
G Wang, C Zhang, Y Liu, H Yang, D Fu, H Wang, P Zhang
Information Sciences 501, 523-542, 2019
1172019
How does simsiam avoid collapse without negative samples? a unified understanding with self-supervised contrastive learning
C Zhang, K Zhang, C Zhang, TX Pham, CD Yoo, IS Kweon
ICLR 2022, 2022
682022
A survey on masked autoencoder for self-supervised learning in vision and beyond
C Zhang, C Zhang, J Song, JSK Yi, K Zhang, IS Kweon
arXiv preprint arXiv:2208.00173, 2022
602022
A survey on audio diffusion models: Text to speech synthesis and enhancement in generative ai
C Zhang, C Zhang, S Zheng, M Zhang, M Qamar, SH Bae, IS Kweon
arXiv preprint arXiv:2303.13336 2, 2, 2023
492023
A survey on graph diffusion models: Generative ai in science for molecule, protein and material
M Zhang, M Qamar, T Kang, Y Jung, C Zhang, SH Bae, C Zhang
arXiv preprint arXiv:2304.01565, 2023
412023
Bidirectional recurrent neural network and convolutional neural network (BiRCNN) for ECG beat classification
P Xie, G Wang, C Zhang, M Chen, H Yang, T Lv, Z Sang, P Zhang
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
332018
A survey on segment anything model (sam): Vision foundation model meets prompt engineering
C Zhang, FD Puspitasari, S Zheng, C Li, Y Qiao, T Kang, X Shan, C Zhang, ...
arXiv preprint arXiv:2306.06211, 2023
322023
Robustness of sam: Segment anything under corruptions and beyond
Y Qiao, C Zhang, T Kang, D Kim, S Tariq, C Zhang, CS Hong
arXiv preprint arXiv:2306.07713, 2023
232023
Attack-sam: Towards evaluating adversarial robustness of segment anything model
C Zhang, C Zhang, T Kang, D Kim, SH Bae, IS Kweon
arXiv preprint arXiv:2305.00866 1 (3), 5, 2023
182023
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness
C Zhang, K Zhang, C Zhang, A Niu, J Feng, CD Yoo, IS Kweon
ECCV 2022 Oral, 2022
182022
& Hong, CS (2023). One small step for generative ai, one giant leap for agi: A complete survey on chatgpt in aigc era
C Zhang, C Zhang, C Li, Y Qiao, S Zheng, SK Dam
arXiv preprint arXiv:2304.06488, 0
15
Power-space functions in high speed railway wireless communications
Y Dong, C Zhang, P Fan, P Fan
Journal of Communications and Networks 17 (3), 231-240, 2015
142015
A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need?. arXiv
C Zhang, C Zhang, S Zheng, Y Qiao, C Li, M Zhang, SK Dam, CM Thwal, ...
arXiv preprint arXiv:2303.11717, 2023
92023
In So Kweon, and Choong Seon Hong. 2023. One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era
C Zhang, C Zhang, C Li, Y Qiao, S Zheng, SK Dam, M Zhang, JU Kim, ...
arXiv preprint arXiv:2304.06488, 2023
92023
A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need? arXiv 2023
C Zhang, C Zhang, S Zheng, Y Qiao, C Li, M Zhang, SK Dam, CM Thwal, ...
arXiv preprint arXiv:2303.11717, 0
9
D. kim, S
C Zhang, C Zhang, S Zheng, Y Qiao, C Li, M Zhang, SK Dam, CM Thwal, ...
H. Bae, L.-H. Lee, Y. Yang, HT Shen, IS Kweon, and CS Hong,“A complete …, 2023
82023
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