Chenshuang Zhang

According to our database, Chenshuang Zhang authored at least 24 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Aligning What Vision-Language Models See and Perceive with Adaptive Information Flow.

Chengxin Liu, Wonseok Choi, Chenshuang Zhang, Tae-Hyun Oh

CoRR, April, 2026

2025

Video Diffusion Models Excel at Tracking Similar-Looking Objects Without Supervision.

Chenshuang Zhang, Kang Zhang, Joon Son Chung, In So Kweon, Junmo Kim, Chengzhi Mao

CoRR, December, 2025

2024

Towards Understanding Dual BN In Hybrid Adversarial Training.

Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon

Trans. Mach. Learn. Res., 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

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object.

Chenshuang Zhang, Fei Pan, Junmo Kim, In So Kweon, Chengzhi Mao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Understanding Segment Anything Model: SAM is Biased Towards Texture Rather than Shape.

Chaoning Zhang, Yu Qiao, Shehbaz Tariq, Sheng Zheng, Chenshuang Zhang, Chenghao Li, Hyundong Shin, Choong Seon Hong

CoRR, 2023

Robustness of SAM: Segment Anything Under Corruptions and Beyond.

Yu Qiao, Chaoning Zhang, Taegoo Kang, Donghun Kim, Shehbaz Tariq, Chenshuang Zhang, Choong Seon Hong

CoRR, 2023

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering.

Chaoning Zhang, Sheng Zheng, Chenghao Li, Yu Qiao, Taegoo Kang, Xinru Shan, Chenshuang Zhang, Caiyan Qin, François Rameau, Sung-Ho Bae, Choong Seon Hong

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

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, 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

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

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 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, 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

CoRR, 2023

Text-to-image Diffusion Models in Generative AI: A Survey.

Chenshuang Zhang, Chaoning Zhang, Mengchun Zhang, In So Kweon

CoRR, 2023

A Survey on Masked Autoencoder for Visual Self-supervised Learning.

Chaoning Zhang, Chenshuang Zhang, Junha Song, John Seon Keun Yi, In So Kweon

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

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, In So Kweon

CoRR, 2022

Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation.

Chaoning Zhang, Kang Zhang, Axi Niu, Chenshuang Zhang, Jiu Feng, Chang D. Yoo, In So Kweon

CoRR, 2022

How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning.

Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Trung X. Pham, Chang D. Yoo, In So Kweon

Proceedings of the Tenth International Conference on Learning Representations, 2022

Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness.

Chaoning Zhang, Kang Zhang, Chenshuang Zhang, Axi Niu, Jiu Feng, Chang D. Yoo, In So Kweon

Proceedings of the Computer Vision - ECCV 2022, 2022

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

Controlling and online measurement of automatic dual-channel <i>E-FRET</i> microscope.

Han Sun, Chenshuang Zhang, Yunyun Ma, Mengyan Du, Tongsheng Chen

Biomed. Signal Process. Control., 2019

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

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

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2015

Power-space functions in high speed railway wireless communications.

Yunquan Dong, Chenshuang Zhang, Pingyi Fan, Pingzhi Fan

J. Commun. Networks, 2015