Chenshuang Zhang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 25

Top Topics

Diffusion Model

Beat Classification

Text To Speech Synthesis

Top Venues

Biomed. Signal Process. Control.

Publications

Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon
Towards Understanding Dual BN In Hybrid Adversarial Training. CoRR (2024)
Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object. CoRR (2024)
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)
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)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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 (2023)
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)
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 (2023)
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 (2023)
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 (2023)
Chenshuang Zhang, Chaoning Zhang, Mengchun Zhang, In So Kweon
Text-to-image Diffusion Model in Generative AI: A Survey. CoRR (2023)
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 (2022)
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 (2022)
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)
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)
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 (2022)
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 (2022)
Han sun, Chenshuang Zhang, Yunyun Ma, Mengyan Du, Tongsheng Chen
microscope. Biomed. Signal Process. Control. 53 (2019)
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 (2019)
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)
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 (2018)
Yunquan Dong, Chenshuang Zhang, Pingyi Fan, Pingzhi Fan
Power-space functions in high speed railway wireless communications. J. Commun. Networks 17 (3) (2015)