Chenshuang Zhang

27 papers A* 3C 1Journal 21Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision. CoRR Chenshuang Zhang, Kang Zhang, Joon Son Chung, In So Kweon, Junmo Kim, Chengzhi Mao
2024	A*	`conf`	ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object. CVPR Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao
2024	J	`jnl`	ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object. CoRR Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao
2024	C	`conf`	MacDC: Masking-augmented Collaborative Domain Congregation for Multi-target Domain Adaptation in Semantic Segmentation. IV Fei Pan, Dong He, Xu Yin, Chenshuang Zhang, Munchurl Kim
2024	J	`jnl`	Towards Understanding Dual BN In Hybrid Adversarial Training. CoRR Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon
2024	J	`jnl`	Towards Understanding Dual BN In Hybrid Adversarial Training. Trans. Mach. Learn. Res. Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon
2023	J	`jnl`	A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? CoRR 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
2023	J	`jnl`	A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI. CoRR Chenshuang Zhang, Chaoning Zhang, Sheng Zheng, Mengchun Zhang, Maryam Qamar, Sung-Ho Bae, In So Kweon
2023	J	`jnl`	A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material. CoRR Mengchun Zhang, Maryam Qamar, Taegoo Kang, Yuna Jung, Chenshuang Zhang, Sung-Ho Bae, Chaoning Zhang
2023	A*	`conf`	A Survey on Masked Autoencoder for Visual Self-supervised Learning. IJCAI Chaoning Zhang, Chenshuang Zhang, Junha Song, John Seon Keun Yi, In So Kweon
2023	J	`jnl`	A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering. CoRR Chaoning Zhang, Sheng Zheng, Chenghao Li, Yu Qiao, Taegoo Kang, Xinru Shan, Chenshuang Zhang, Caiyan Qin, François Rameau, Sung-Ho Bae, Choong Seon Hong
2023	J	`jnl`	Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples. CoRR Chenshuang Zhang, Chaoning Zhang, Taegoo Kang, Donghun Kim, Sung-Ho Bae, In So Kweon
2023	J	`jnl`	One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era. CoRR 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
2023	J	`jnl`	Robustness of SAM: Segment Anything Under Corruptions and Beyond. CoRR Yu Qiao, Chaoning Zhang, Taegoo Kang, Donghun Kim, Shehbaz Tariq, Chenshuang Zhang, Choong Seon Hong
2023	J	`jnl`	Text-to-image Diffusion Models in Generative AI: A Survey. CoRR Chenshuang Zhang, Chaoning Zhang, Mengchun Zhang, In So Kweon
2023	J	`jnl`	Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape. CoRR Chaoning Zhang, Yu Qiao, Shehbaz Tariq, Sheng Zheng, Chenshuang Zhang, Chenghao Li, Hyundong Shin, Choong Seon Hong
2022	J	`jnl`	A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond. CoRR Chaoning Zhang, Chenshuang Zhang, Junha Song, John Seon Keun Yi, Kang Zhang, In So Kweon
2022	—	`conf`	Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness. ECCV (30) Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon
2022	J	`jnl`	Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness. CoRR Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon
2022	A*	`conf`	How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning. ICLR Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon
2022	J	`jnl`	How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning. CoRR Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon
2022	J	`jnl`	Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation. CoRR Chaoning Zhang, Kang Zhang, Axi Niu, Chenshuang Zhang, Jiu Feng, Chang D. Yoo, In So Kweon
2019	J	`jnl`	A global and updatable ECG beat classification system based on recurrent neural networks and active learning. Inf. Sci. Guijin Wang, Chenshuang Zhang, Yongpan Liu, Huazhong Yang, Dapeng Fu, Haiqing Wang, Ping Zhang
2019	J	`jnl`	Controlling and online measurement of automatic dual-channel Biomed. Signal Process. Control. Han Sun, Chenshuang Zhang, Yunyun Ma, Mengyan Du, Tongsheng Chen
2018	—	`conf`	Bidirectional Recurrent Neural Network And Convolutional Neural Network (BiRCNN) For ECG Beat Classification. EMBC Pengwei Xie, Guijin Wang, Chenshuang Zhang, Ming Chen, Huazhong Yang, Tingting Lv, Zhenhua Sang, Ping Zhang
2018	J	`jnl`	EENMF: An End-to-End Neural Matching Framework for E-Commerce Sponsored Search. CoRR Wenjin Wu, Guojun Liu, Hui Ye, Chenshuang Zhang, Tianshu Wu, Daorui Xiao, Wei Lin, Xiaoyu Zhu
2015	J	`jnl`	Power-space functions in high speed railway wireless communications. J. Commun. Networks Yunquan Dong, Chenshuang Zhang, Pingyi Fan, Pingzhi Fan