Chaoning Zhang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 95

Top Topics

Diffusion Models

Deeper Understanding

Top Venues

Publications

Yu Qiao, Huy Q. Le, Mengchun Zhang, Apurba Adhikary, Chaoning Zhang, Choong Seon Hong
FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity. CoRR (2024)
Loc X. Nguyen, Ye Lin Tun, Yan Kyaw Tun, Minh N. H. Nguyen, Chaoning Zhang, Zhu Han, Choong Seon Hong
Swin Transformer-Based Dynamic Semantic Communication for Multi-User With Different Computing Capacity. IEEE Trans. Veh. Technol. 73 (6) (2024)
Chenghao Li, Chaoning Zhang
Toward a deeper understanding: RetNet viewed through Convolution. Pattern Recognit. 155 (2024)
Chenshuang Zhang, Chaoning Zhang, Kang Zhang, Axi Niu, Junmo Kim, In So Kweon
Towards Understanding Dual BN In Hybrid Adversarial Training. CoRR (2024)
Joseph Cho, Fachrina Dewi Puspitasari, Sheng Zheng, Jingyao Zheng, Lik-Hang Lee, Tae-Ho Kim, Choong Seon Hong, Chaoning Zhang
Sora as an AGI World Model? A Complete Survey on Text-to-Video Generation. CoRR (2024)
Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Huy Q. Le, Avi Deb Raha, Chaoning Zhang, Choong Seon Hong
MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence. IEEE Internet Things J. 11 (5) (2024)
Shiyuan He, Jiwei Wei, Chaoning Zhang, Xing Xu, Jingkuan Song, Yang Yang, Heng Tao Shen
Boosting Adversarial Training with Hardness-Guided Attack Strategy. IEEE Trans. Multim. 26 (2024)
Yu Qiao, Chaoning Zhang, Apurba Adhikary, Choong Seon Hong
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data. CoRR (2024)
Yu Qiao, Apurba Adhikary, Chaoning Zhang, Choong Seon Hong
Towards Robust Federated Learning via Logits Calibration on Non-IID Data. CoRR (2024)
Sumit Kumar Dam, Choong Seon Hong, Yu Qiao, Chaoning Zhang
A Complete Survey on LLM-based AI Chatbots. CoRR (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)
Yu Qiao, Apurba Adhikary, Chaoning Zhang, Choong Seon Hong
Towards Robust Federated Learning via Logits Calibration on Non-IID Data. NOMS (2024)
Huy Q. Le, Minh N. H. Nguyen, Shashi Raj Pandey, Chaoning Zhang, Choong Seon Hong
CDKT-FL: Cross-device knowledge transfer using proxy dataset in federated learning. Eng. Appl. Artif. Intell. 133 (2024)
Zhinan Qiao, Xiaohui Yuan, Runmei Zhang, Tian Chen, Chaoning Zhang
Efficient deep-narrow residual networks using dilated pooling for scene recognition. Expert Syst. Appl. 234 (2023)
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)
Sheng Zheng, Chaoning Zhang
Black-box Targeted Adversarial Attack on Segment Anything (SAM). CoRR (2023)
Dongshen Han, Seungkyu Lee, Chaoning Zhang, Heechan Yoon, Hyukmin Kwon, Hyun-Cheol Kim, HyonGon Choo
Single Image Reflection Removal with Reflection Intensity Prior Knowledge. CoRR (2023)
Chenghao Li, Chaoning Zhang, Atish Waghwase, Lik-Hang Lee, François Rameau, Yang Yang, Sung-Ho Bae, Choong Seon Hong
Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era. 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)
Loc X. Nguyen, Ye Lin Tun, Yan Kyaw Tun, Minh N. H. Nguyen, Chaoning Zhang, Zhu Han, Choong Seon Hong
Swin Transformer-Based Dynamic Semantic Communication for Multi-User with Different Computing Capacity. CoRR (2023)
Thanh Nguyen, Trung Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo
DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning. CoRR (2023)
Yu Qiao, Chaoning Zhang, Huy Q. Le, Avi Deb Raha, Apurba Adhikary, Choong Seon Hong
Knowledge Distillation in Federated Learning: Where and How to Distill? APNOMS (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, Dongshen Han, Sheng Zheng, Jinwoo Choi, Tae-Ho Kim, Choong Seon Hong
MobileSAMv2: Faster Segment Anything to Everything. CoRR (2023)
Huy Q. Le, Minh N. H. Nguyen, Chu Myaet Thwal, Yu Qiao, Chaoning Zhang, Choong Seon Hong
FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning. CoRR (2023)
Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon, Choong Seon Hong
Simple Techniques are Sufficient for Boosting Adversarial Transferability. ACM Multimedia (2023)
Xinru Shan, Chaoning Zhang
Robustness of Segment Anything Model (SAM) for Autonomous Driving in Adverse Weather Conditions. CoRR (2023)
Muhammad Salman Ali, Yeongwoong Kim, Maryam Qamar, Sung-Chang Lim, Donghyun Kim, Chaoning Zhang, Sung-Ho Bae, Hui Yong Kim
Towards Efficient Image Compression Without Autoregressive Models. NeurIPS (2023)
Dongsheng Han, Chaoning Zhang, Yu Qiao, Maryam Qamar, Yuna Jung, SeungKyu Lee, Sung-Ho Bae, Choong Seon Hong
Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected. CoRR (2023)
Chenghao Li, Chaoning Zhang
CNN or ViT? Revisiting Vision Transformers Through the Lens of Convolution. CoRR (2023)
Sheng Zheng, Xinhong Hao, Chaoning Zhang, Wen Zhou, Lefan Duan
Towards Lightweight Deep Classification for Low-Resolution Synthetic Aperture Radar (SAR) Images: An Empirical Study. Remote. Sens. 15 (13) (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)
Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Huy Q. Le, Avi Deb Raha, Chaoning Zhang, Choong Seon Hong
MP-FedCL: Multi-Prototype Federated Contrastive Learning for Edge Intelligence. CoRR (2023)
Lik-Hang Lee, Pengyuan Zhou, Chaoning Zhang, Simo Hosio
What if we have Meta GPT? From Content Singularity to Human-Metaverse Interaction in AIGC Era. CoRR (2023)
Chaoning Zhang, Dongsheng Han, Yu Qiao, Jung Uk Kim, Sung-Ho Bae, Seungkyu Lee, Choong Seon Hong
Faster Segment Anything: Towards Lightweight SAM for Mobile Applications. CoRR (2023)
Chenghao Li, Chaoning Zhang
When ChatGPT for Computer Vision Will Come? From 2D to 3D. CoRR (2023)
Junha Song, Kwanyong Park, Inkyu Shin, Sanghyun Woo, Chaoning Zhang, In So Kweon
Test-Time Adaptation in the Dynamic World With Compound Domain Knowledge Management. IEEE Robotics Autom. Lett. 8 (11) (2023)
Shehbaz Tariq, Brian Estadimas Arfeto, Chaoning Zhang, Hyundong Shin
Segment Anything Meets Semantic Communication. CoRR (2023)
Chenshuang Zhang, Chaoning Zhang, Mengchun Zhang, In So Kweon
Text-to-image Diffusion Model in Generative AI: A Survey. CoRR (2023)
Dongshen Han, Sheng Zheng, Chaoning Zhang
Segment Anything Meets Universal Adversarial Perturbation. CoRR (2023)
Thanh Nguyen, Trung Xuan Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo
DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning. IEEE Access 11 (2023)
Ye Lin Tun, Chu Myaet Thwal, Ji Su Yoon, Sun Moo Kang, Chaoning Zhang, Choong Seon Hong
Federated Learning with Diffusion Models for Privacy-Sensitive Vision Tasks. CoRR (2023)
Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CVPR (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. CoRR (2022)
Axi Niu, Yu Zhu, Chaoning Zhang, Jinqiu Sun, Pei Wang, In So Kweon, Yanning Zhang
MS2Net: Multi-Scale and Multi-Stage Feature Fusion for Blurred Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 32 (8) (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, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CoRR (2022)
Trung Pham, Chaoning Zhang, Axi Niu, Kang Zhang, Chang D. Yoo
On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning. CoRR (2022)
Jiawen Liao, Chun Qi, Jianzhong Cao, Xiaofang Wang, Long Ren, Chaoning Zhang
Rotation-aware correlation filters for robust visual tracking. J. Vis. Commun. Image Represent. 83 (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, Philipp Benz, Adil Karjauv, Jae-Won Cho, Kang Zhang, In So Kweon
Investigating Top-k White-Box and Transferable Black-box Attack. CoRR (2022)
Chaoning Zhang, Philipp Benz, Adil Karjauv, Jae-Won Cho, Kang Zhang, In So Kweon
Investigating Top-k White-Box and Transferable Black-box Attack. CVPR (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)
Qilong Zhang, Chaoning Zhang, Chaoqun Li, Jingkuan Song, Lianli Gao, Heng Tao Shen
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation. 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)
Chaoning Zhang, Adil Karjauv, Philipp Benz, In So Kweon
Towards Robust Data Hiding Against (JPEG) Compression: A Pseudo-Differentiable Deep Learning Approach. CoRR (2021)
Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective. CoRR (2021)
Philipp Benz, Chaoning Zhang, In So Kweon
Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective. ICCV (2021)
Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw, Seokju Lee, Junsik Kim, François Rameau, Jean-Charles Bazin, In So Kweon
ResNet or DenseNet? Introducing Dense Shortcuts to ResNet. WACV (2021)
Adil Karjauv, Sanzhar Bakhtiyarov, Chaoning Zhang, Jean-Charles Bazin, In So Kweon
Motionsnap: A Motion Sensor-Based Approach for Automatic Capture and Editing of Photos and Videos on Smartphones. ICME (2021)
Chaoning Zhang, Chenguo Lin, Philipp Benz, Kejiang Chen, Weiming Zhang, In So Kweon
A Brief Survey on Deep Learning Based Data Hiding, Steganography and Watermarking. CoRR (2021)
Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Fangcheng Liu, Chao Zhang, Hongyang Zhang, Yichi Zhang, Shilong Liu, Chang Liu, Wenzhao Xiang, Yajie Wang, Huipeng Zhou, Haoran Lyu, Yidan Xu, Zixuan Xu, Taoyu Zhu, Wenjun Li, Xianfeng Gao, Guoqiu Wang, Huanqian Yan, Ying Guo, Chaoning Zhang, Zheng Fang, Yang Wang, Bingyang Fu, Yunfei Zheng, Yekui Wang, Haorong Luo, Zhen Yang
Unrestricted Adversarial Attacks on ImageNet Competition. CoRR (2021)
Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon
Data-free Universal Adversarial Perturbation and Black-box Attack. ICCV (2021)
Chaoning Zhang, Philipp Benz, Chenguo Lin, Adil Karjauv, Jing Wu, In So Kweon
A Survey on Universal Adversarial Attack. IJCAI (2021)
Chaoning Zhang, Adil Karjauv, Philipp Benz, In So Kweon
Towards Robust Deep Hiding Under Non-Differentiable Distortions for Practical Blind Watermarking. ACM Multimedia (2021)
Philipp Benz, Soomin Ham, Chaoning Zhang, Adil Karjauv, In So Kweon
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs. BMVC (2021)
Dawit Mureja Argaw, Junsik Kim, François Rameau, Chaoning Zhang, In So Kweon
Restoration of Video Frames From a Single Blurred Image With Motion Understanding. CVPR Workshops (2021)
Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon
Revisiting Batch Normalization for Improving Corruption Robustness. WACV (2021)
Philipp Benz, Soomin Ham, Chaoning Zhang, Adil Karjauv, In So Kweon
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs. CoRR (2021)
Dawit Mureja Argaw, Junsik Kim, François Rameau, Chaoning Zhang, In So Kweon
Restoration of Video Frames from a Single Blurred Image with Motion Understanding. CoRR (2021)
Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon
Universal Adversarial Training with Class-Wise Perturbations. ICME (2021)
Chaoning Zhang, Philipp Benz, Chenguo Lin, Adil Karjauv, Jing Wu, In So Kweon
A Survey On Universal Adversarial Attack. CoRR (2021)
Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective. AAAI (2021)
Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon
Universal Adversarial Training with Class-Wise Perturbations. CoRR (2021)
Chaoning Zhang, Philipp Benz, Adil Karjauv, Geng Sun, In So Kweon
UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging. NeurIPS (2020)
Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw, Seokju Lee, Junsik Kim, François Rameau, Jean-Charles Bazin, In So Kweon
ResNet or DenseNet? Introducing Dense Shortcuts to ResNet. CoRR (2020)
Philipp Benz, Chaoning Zhang, Tooba Imtiaz, In-So Kweon
Data from Model: Extracting Data from Non-robust and Robust Models. CoRR (2020)
Philipp Benz, Chaoning Zhang, Tooba Imtiaz, In So Kweon
Double Targeted Universal Adversarial Perturbations. ACCV (4) (2020)
Philipp Benz, Chaoning Zhang, In So Kweon
Batch Normalization Increases Adversarial Vulnerability: Disentangling Usefulness and Robustness of Model Features. CoRR (2020)
Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon
Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy. CoRR (2020)
Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In So Kweon
CD-UAP: Class Discriminative Universal Adversarial Perturbation. CoRR (2020)
Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon
Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy. Preregister@NeurIPS (2020)
Philipp Benz, Chaoning Zhang, Tooba Imtiaz, In So Kweon
Double Targeted Universal Adversarial Perturbations. CoRR (2020)
Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In-So Kweon
CD-UAP: Class Discriminative Universal Adversarial Perturbation. AAAI (2020)
Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In So Kweon
Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations. CVPR (2020)
Chaoning Zhang, François Rameau, Junsik Kim, Dawit Mureja Argaw, Jean-Charles Bazin, In So Kweon
DeepPTZ: Deep Self-Calibration for PTZ Cameras. WACV (2020)
Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon
Revisiting Batch Normalization for Improving Corruption Robustness. CoRR (2020)
Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In-So Kweon
Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations. CoRR (2020)
Chaoning Zhang, François Rameau, Seokju Lee, Junsik Kim, Philipp Benz, Dawit Mureja Argaw, Jean-Charles Bazin, In So Kweon
Revisiting Residual Networks with Nonlinear Shortcuts. BMVC (2019)