Power-space functions in high speed railway wireless communications. - Yunquan Dong; Chenshuang Zhang; Pingyi Fan; Pingzhi Fan (J. Commun. Networks, 2015)

Bidirectional Recurrent Neural Network And Convolutional Neural Network (BiRCNN) For ECG Beat Classification. - Pengwei Xie; Guijin Wang; Chenshuang Zhang; Ming Chen; Huazhong Yang; Tingting Lv; Zhenhua Sang; Ping Zhang (EMBC, 2018)

EENMF: An End-to-End Neural Matching Framework for E-Commerce Sponsored Search. - Wenjin Wu; Guojun Liu; Hui Ye; Chenshuang Zhang; Tianshu Wu; Daorui Xiao; Wei Lin; Xiaoyu Zhu (CoRR, 2018)

Controlling and online measurement of automatic dual-channel E-FRET microscope. - Han sun; Chenshuang Zhang; Yunyun Ma; Mengyan Du; Tongsheng Chen (Biomed. Signal Process. Control., 2019)

A global and updatable ECG beat classification system based on recurrent neural networks and active learning. - Guijin Wang; Chenshuang Zhang; Yongpan Liu; Huazhong Yang; Dapeng Fu; Haiqing Wang; Ping Zhang (Inf. Sci., 2019)

Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness. - Chaoning Zhang; Kang Zhang 008; Chenshuang Zhang; Axi Niu; Jiu Feng; Chang D. Yoo; In So Kweon (ECCV (30), 2022)

How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning. - Chaoning Zhang; Kang Zhang 008; Chenshuang Zhang; Trung X. Pham; Chang D. Yoo; In So Kweon (ICLR, 2022)

Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation. - Chaoning Zhang; Kang Zhang 008; Axi Niu; Chenshuang Zhang; Jiu Feng; Chang D. Yoo; In So Kweon (CoRR, 2022)

A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond. - Chaoning Zhang; Chenshuang Zhang; Junha Song; John Seon Keun Yi; Kang Zhang 008; In So Kweon (CoRR, 2022)

A Survey on Masked Autoencoder for Visual Self-supervised Learning. - Chaoning Zhang; Chenshuang Zhang; Junha Song; John Seon Keun Yi; In So Kweon (IJCAI, 2023)

Text-to-image Diffusion Models in Generative AI: A Survey. - Chenshuang Zhang; Chaoning Zhang; Mengchun Zhang; In So Kweon (CoRR, 2023)

A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? - Chaoning Zhang; Chenshuang Zhang; Sheng Zheng; Yu Qiao 004; Chenghao Li; Mengchun Zhang; Sumit Kumar Dam; Chu Myaet Thwal; Ye Lin Tun 001; Le Luang Huy; Dong Uk Kim; Sung-Ho Bae; et al. (CoRR, 2023)

A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI. - Chenshuang Zhang; Chaoning Zhang; Sheng Zheng; Mengchun Zhang; Maryam Qamar; Sung-Ho Bae; In So Kweon (CoRR, 2023)

A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material. - Mengchun Zhang; Maryam Qamar; Taegoo Kang; Yuna Jung; Chenshuang Zhang; Sung-Ho Bae; Chaoning Zhang (CoRR, 2023)

One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era. - Chaoning Zhang; Chenshuang Zhang; Chenghao Li; Yu Qiao 004; Sheng Zheng; Sumit Kumar Dam; Mengchun Zhang; Jung Uk Kim; Seong Tae Kim 001; Jinwoo Choi 001; Gyeong-Moon Park; Sung-Ho Bae; et al. (CoRR, 2023)

Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples. - Chenshuang Zhang; Chaoning Zhang; Taegoo Kang; Donghun Kim; Sung-Ho Bae; In So Kweon (CoRR, 2023)

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering. - Chaoning Zhang; Sheng Zheng; Chenghao Li; Yu Qiao 004; Taegoo Kang; Xinru Shan; Chenshuang Zhang; Caiyan Qin; François Rameau; Sung-Ho Bae; Choong Seon Hong (CoRR, 2023)

Robustness of SAM: Segment Anything Under Corruptions and Beyond. - Yu Qiao 004; Chaoning Zhang; Taegoo Kang; Donghun Kim; Shehbaz Tariq; Chenshuang Zhang; Choong Seon Hong (CoRR, 2023)

Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape. - Chaoning Zhang; Yu Qiao 004; Shehbaz Tariq; Sheng Zheng; Chenshuang Zhang; Chenghao Li; Hyundong Shin; Choong Seon Hong (CoRR, 2023)

ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object. - Chenshuang Zhang; Fei Pan; Junmo Kim 002; In So Kweon; Chengzhi Mao (CVPR, 2024)

MacDC: Masking-augmented Collaborative Domain Congregation for Multi-target Domain Adaptation in Semantic Segmentation. - Fei Pan; Dong He; Xu Yin; Chenshuang Zhang; Munchurl Kim (IV, 2024)

Towards Understanding Dual BN In Hybrid Adversarial Training. - Chenshuang Zhang; Chaoning Zhang; Kang Zhang 008; Axi Niu; Junmo Kim 002; In So Kweon (Trans. Mach. Learn. Res., 2024)