Chaoning Zhang

133 papers A* 18A 7B 1C 1Journal 101Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Clean-Anchor Alignment: Toward Robust and Stable Graph Neural Networks. IEEE Access Joseph Cho, Chaoning Zhang, Sung-Ho Bae, Sungyoung Lee
2026	J	`jnl`	Code Evolution for Control: Synthesizing Policies via LLM-Driven Evolutionary Search. CoRR Ping Guo, Chao Li, Yinglan Feng, Chaoning Zhang
2026	J	`jnl`	Contrastive Learning or Masked Autoencoder? Understanding and Improving Self-Supervised Knowledge Distillation. IEEE Access Taegoo Kang, Sung-Ho Bae, Chaoning Zhang
2026	J	`jnl`	Efficient and Interpretable Multi-Agent LLM Routing via Ant Colony Optimization. CoRR Xudong Wang, Chaoning Zhang, Jiaquan Zhang, Chenghao Li, Qigan Sun, Sung-Ho Bae, Peng Wang, Ning Xie, Jie Zou, Yang Yang, Hengtao Shen
2026	J	`jnl`	Fat-Cat: Document-Driven Metacognitive Multi-Agent System for Complex Reasoning. CoRR Tong Yang, Yemin Wang, Chaoning Zhang, Aming Wu
2026	A*	`conf`	From Dialogue to Destination: Geography-Aware Large Language Models with Multimodal Fusion for Conversational Recommendation. AAAI Yeming Li, Chenxi Liu, Jie Zou, Cheng Long, Chaoning Zhang, Peng Wang, Yang Yang
2026	J	`jnl`	GRASP: Guided Region-Aware Sparse Prompting for Adapting MLLMs to Remote Sensing. CoRR Qigan Sun, Chaoning Zhang, Jianwei Zhang, Xudong Wang, Jiehui Xie, Pengcheng Zheng, Haoyu Wang, Sungyoung Lee, Chi-Lok Andy Tai, Yang Yang, Heng Tao Shen
2026	J	`jnl`	Geometric Neural Operators via Lie Group-Constrained Latent Dynamics. CoRR Jiaquan Zhang, Fachrina Dewi Puspitasari, Songbo Zhang, Yibei Liu, Kuien Liu, Caiyan Qin, Fan Mo, Peng Wang, Yang Yang, Chaoning Zhang
2026	J	`jnl`	Internal-external boundary attention fusion for glass surface segmentation. Neural Networks Dongshen Han, Heechan Yoon, Hyukmin Kwon, Hyun-Cheol Kim, Hyon-Gon Choo, Seungkyu Lee, Chaoning Zhang
2026	J	`jnl`	LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models. CoRR Pengcheng Zheng, Chaoning Zhang, Jiarong Mo, Guohui Li, Jiaquan Zhang, Jiahao Zhang, Sihan Cao, Sheng Zheng, Caiyan Qin, Guoqing Wang, Yang Yang
2026	J	`jnl`	Language-Guided Token Compression with Reinforcement Learning in Large Vision-Language Models. CoRR Sihan Cao, Jianwei Zhang, Pengcheng Zheng, Jiaxin Yan, Caiyan Qin, Yalan Ye, Wei Dong, Peng Wang, Yang Yang, Chaoning Zhang
2026	J	`jnl`	Learning Global Hypothesis Space for Enhancing Synergistic Reasoning Chain. CoRR Jiaquan Zhang, Chaoning Zhang, Shuxu Chen, Xudong Wang, Zhenzhen Huang, Pengcheng Zheng, Shuai Yuan, Sheng Zheng, Qigan Sun, Jie Zou, Lik-Hang Lee, Yang Yang
2026	J	`jnl`	Optimizing Soft Prompt Tuning via Structural Evolution. CoRR Zhenzhen Huang, Chaoning Zhang, Haoyu Bian, Songbo Zhang, Chi-Lok Andy Tai, Jiaquan Zhang, Caiyan Qin, Jingjing Qu, Yalan Ye, Yang Yang, Heng Tao Shen
2026	J	`jnl`	Rethinking Input Domains in Physics-Informed Neural Networks via Geometric Compactification Mappings. CoRR Zhenzhen Huang, Haoyu Bian, Jiaquan Zhang, Yibei Liu, Kuien Liu, Caiyan Qin, Guoqing Wang, Yang Yang, Chaoning Zhang
2026	J	`jnl`	Text summarization via global structure awareness. CoRR Jiaquan Zhang, Chaoning Zhang, Shuxu Chen, Yibei Liu, Chenghao Li, Qigan Sun, Shuai Yuan, Fachrina Dewi Puspitasari, Dongshen Han, Guoqing Wang, Sung-Ho Bae, Yang Yang
2025	J	`jnl`	Adapting lightweight SAM with gradient map for mirror object segmentation. Inf. Sci. Dongshen Han, Chaoning Zhang, Fachrina Dewi Puspitasari, Shuxu Chen, Feng Qiao, Sheng Zheng, Sungyoung Lee, Choong Seon Hong, Yang Yang
2025	A*	`conf`	Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation. SIGIR Guojia An, Jie Zou, Jiwei Wei, Chaoning Zhang, Fuming Sun, Yang Yang
2025	J	`jnl`	Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation. CoRR Guojia An, Jie Zou, Jiwei Wei, Chaoning Zhang, Fuming Sun, Yang Yang
2025	J	`jnl`	Black-Box Targeted Adversarial Attack on Segment Anything (SAM). IEEE Trans. Multim. Sheng Zheng, Chaoning Zhang, Xinhong Hao
2025	J	`jnl`	Compression in 3D Gaussian Splatting: A Survey of Methods, Trends, and Future Directions. CoRR Muhammad Salman Ali, Chaoning Zhang, Marco Cagnazzo, Giuseppe Valenzise, Enzo Tartaglione, Sung-Ho Bae
2025	J	`jnl`	Cyber Attacks Prevention Toward Prosumer-Based EV Charging Stations: An Edge-Assisted Federated Prototype Knowledge Distillation Approach. IEEE Trans. Netw. Serv. Manag. Luyao Zou, Quang Hieu Vo, Kitae Kim, Huy Q. Le, Chu Myaet Thwal, Chaoning Zhang, Choong Seon Hong
2025	J	`jnl`	DM-KD: Decoupling Mixed-Images for Efficient Knowledge Distillation. IEEE Access Jongkyung Im, Younho Jang, Junpyo Lim, Taegoo Kang, Chaoning Zhang, Sung-Ho Bae
2025	J	`jnl`	Enhancing Implicit Neural Representations With Transfer Learning. IEEE Access Euijune Lee, Minseo Kim, Chaoning Zhang, Sung-Ho Bae
2025	J	`jnl`	Exploring Kernel Transformations for Implicit Neural Representations. CoRR Sheng Zheng, Chaoning Zhang, Dongshen Han, Fachrina Dewi Puspitasari, Xinhong Hao, Yang Yang, Heng Tao Shen
2025	J	`jnl`	Exploring Kernel Transformations for Implicit Neural Representations. IEEE Trans. Multim. Sheng Zheng, Chaoning Zhang, Dongshen Han, Fachrina Dewi Puspitasari, Xinhong Hao, Yang Yang, Heng Tao Shen
2025	J	`jnl`	Fast SAM2 with Text-Driven Token Pruning. CoRR Avilasha Mandal, Chaoning Zhang, Fachrina Dewi Puspitasari, Xudong Wang, Jiaquan Zhang, Caiyan Qin, Guoqing Wang, Yang Yang, Heng Tao Shen
2025	J	`jnl`	FedMEKT: Distillation-based embedding knowledge transfer for multimodal federated learning. Neural Networks Huy Q. Le, Minh N. H. Nguyen, Chu Myaet Thwal, Yu Qiao, Chaoning Zhang, Choong Seon Hong
2025	A*	`conf`	InteractGuide: LLM-Enhanced Multimodal Reasoning for User-Centric Interaction Recommendations in AR-HRI Authoring. ACM Multimedia Yunqiang Pei, Hongrong Yang, Kaiyue Zhang, Guoqing Wang, Peng Wang, Chaoning Zhang, Yang Yang, Heng Tao Shen
2025	J	`jnl`	Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data. IEEE Trans. Netw. Sci. Eng. Yu Qiao, Chaoning Zhang, Apurba Adhikary, Choong Seon Hong
2025	J	`jnl`	Mix-Based Training Strategies for Learning Implicit Neural Representations. IEEE Trans. Multim. Dongshen Han, Chaoning Zhang, Sheng Zheng, Fachrina Dewi Puspitasari, Yang Yang, Heng Tao Shen
2025	A*	`conf`	SyncGaussian: Stable 3D Gaussian-Based Talking Head Generation with Enhanced Lip Sync via Discriminative Speech Features. IJCAI Ke Liu, Jiwei Wei, Shiyuan He, Zeyu Ma, Chaoning Zhang, Ning Xie, Yang Yang
2025	J	`jnl`	Syzygy of Thoughts: Improving LLM CoT with the Minimal Free Resolution. CoRR Chenghao Li, Chaoning Zhang, Yi Lu, Jiaquan Zhang, Qigan Sun, Xudong Wang, Jiwei Wei, Guoqing Wang, Yang Yang, Heng Tao Shen
2025	J	`jnl`	Understanding Chain-of-Thought in Large Language Models via Topological Data Analysis. CoRR Chenghao Li, Chaoning Zhang, Yi Lu, Shuxu Chen, Xudong Wang, Jiaquan Zhang, Zhicheng Wang, Zhengxun Jin, Kuien Liu, Sung-Ho Bae, Guoqing Wang, Yang Yang, Heng Tao Shen
2024	J	`jnl`	A Complete Survey on LLM-based AI Chatbots. CoRR Sumit Kumar Dam, Choong Seon Hong, Yu Qiao, Chaoning Zhang
2024	J	`jnl`	Adaptive Multi-scale Degradation-Based Attack for Boosting the Adversarial Transferability. IEEE Trans. Multim. Ran Ran, Jiwei Wei, Chaoning Zhang, Guoqing Wang, Yang Yang, Heng Tao Shen
2024	J	`jnl`	Boosting Adversarial Training with Hardness-Guided Attack Strategy. IEEE Trans. Multim. Shiyuan He, Jiwei Wei, Chaoning Zhang, Xing Xu, Jingkuan Song, Yang Yang, Heng Tao Shen
2024	J	`jnl`	CDKT-FL: Cross-device knowledge transfer using proxy dataset in federated learning. Eng. Appl. Artif. Intell. Huy Q. Le, Minh N. H. Nguyen, Shashi Raj Pandey, Chaoning Zhang, Choong Seon Hong
2024	J	`jnl`	Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An Edge-assisted Federated Prototype Knowledge Distillation Approach. CoRR Luyao Zou, Quang Hieu Vo, Kitae Kim, Huy Q. Le, Chu Myaet Thwal, Chaoning Zhang, Choong Seon Hong
2024	J	`jnl`	FedCCL: Federated Dual-Clustered Feature Contrast Under Domain Heterogeneity. CoRR Yu Qiao, Huy Q. Le, Mengchun Zhang, Apurba Adhikary, Chaoning Zhang, Choong Seon Hong
2024	—	`conf`	Knowledge Distillation Assisted Robust Federated Learning: Towards Edge Intelligence. ICC Yu Qiao, Apurba Adhikary, Ki Tae Kim, Chaoning Zhang, Choong Seon Hong
2024	J	`jnl`	Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data. CoRR Yu Qiao, Chaoning Zhang, Apurba Adhikary, Choong Seon Hong
2024	J	`jnl`	MP-FedCL: Multiprototype Federated Contrastive Learning for Edge Intelligence. IEEE Internet Things J. Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Huy Q. Le, Avi Deb Raha, Chaoning Zhang, Choong Seon Hong
2024	J	`jnl`	Residual-Based Implicit Neural Representation for Synthetic Aperture Radar Images. Remote. Sens. Dongshen Han, Chaoning Zhang
2024	J	`jnl`	Self-Activated Implicit Neural Representation for Synthetic Aperture Radar Images. Remote. Sens. Dongshen Han, Chaoning Zhang
2024	J	`jnl`	Sora as an AGI World Model? A Complete Survey on Text-to-Video Generation. CoRR Joseph Cho, Fachrina Dewi Puspitasari, Sheng Zheng, Jingyao Zheng, Lik-Hang Lee, Tae-Ho Kim, Choong Seon Hong, Chaoning Zhang
2024	J	`jnl`	Swin Transformer-Based Dynamic Semantic Communication for Multi-User With Different Computing Capacity. IEEE Trans. Veh. Technol. Loc X. Nguyen, Ye Lin Tun, Yan Kyaw Tun, Minh N. H. Nguyen, Chaoning Zhang, Zhu Han, Choong Seon Hong
2024	J	`jnl`	Toward a deeper understanding: RetNet viewed through Convolution. Pattern Recognit. Chenghao Li, Chaoning Zhang
2024	B	`conf`	Towards Robust Federated Learning via Logits Calibration on Non-IID Data. NOMS Yu Qiao, Apurba Adhikary, Chaoning Zhang, Choong Seon Hong
2024	J	`jnl`	Towards Robust Federated Learning via Logits Calibration on Non-IID Data. CoRR Yu Qiao, Apurba Adhikary, Chaoning Zhang, Choong Seon Hong
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`	Black-box Targeted Adversarial Attack on Segment Anything (SAM). CoRR Sheng Zheng, Chaoning Zhang
2023	J	`jnl`	CNN or ViT? Revisiting Vision Transformers Through the Lens of Convolution. CoRR Chenghao Li, Chaoning Zhang
2023	J	`jnl`	DimCL: Dimensional Contrastive Learning For Improving Self-Supervised Learning. CoRR Thanh Xuan Nguyen, Trung X. Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo
2023	J	`jnl`	DimCL: Dimensional Contrastive Learning for Improving Self-Supervised Learning. IEEE Access Thanh Xuan Nguyen, Trung Xuan Pham, Chaoning Zhang, Tung Minh Luu, Thang Vu, Chang D. Yoo
2023	J	`jnl`	Efficient deep-narrow residual networks using dilated pooling for scene recognition. Expert Syst. Appl. Zhinan Qiao, Xiaohui Yuan, Runmei Zhang, Tian Chen, Chaoning Zhang
2023	J	`jnl`	Faster Segment Anything: Towards Lightweight SAM for Mobile Applications. CoRR Chaoning Zhang, Dongsheng Han, Yu Qiao, Jung Uk Kim, Sung-Ho Bae, Seungkyu Lee, Choong Seon Hong
2023	J	`jnl`	FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning. CoRR Huy Q. Le, Minh N. H. Nguyen, Chu Myaet Thwal, Yu Qiao, Chaoning Zhang, Choong Seon Hong
2023	J	`jnl`	Federated Learning with Diffusion Models for Privacy-Sensitive Vision Tasks. CoRR Ye Lin Tun, Chu Myaet Thwal, Ji Su Yoon, Sun Moo Kang, Chaoning Zhang, Choong Seon Hong
2023	J	`jnl`	Generative AI meets 3D: A Survey on Text-to-3D in AIGC Era. CoRR Chenghao Li, Chaoning Zhang, Atish Waghwase, Lik-Hang Lee, François Rameau, Yang Yang, Sung-Ho Bae, Choong Seon Hong
2023	C	`conf`	Knowledge Distillation in Federated Learning: Where and How to Distill? APNOMS Yu Qiao, Chaoning Zhang, Huy Q. Le, Avi Deb Raha, Apurba Adhikary, Choong Seon Hong
2023	J	`jnl`	MP-FedCL: Multi-Prototype Federated Contrastive Learning for Edge Intelligence. CoRR Yu Qiao, Md. Shirajum Munir, Apurba Adhikary, Huy Q. Le, Avi Deb Raha, Chaoning Zhang, Choong Seon Hong
2023	J	`jnl`	MobileSAMv2: Faster Segment Anything to Everything. CoRR Chaoning Zhang, Dongshen Han, Sheng Zheng, Jinwoo Choi, Tae-Ho Kim, Choong Seon Hong
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`	Robustness of Segment Anything Model (SAM) for Autonomous Driving in Adverse Weather Conditions. CoRR Xinru Shan, Chaoning Zhang
2023	J	`jnl`	Segment Anything Meets Semantic Communication. CoRR Shehbaz Tariq, Brian Estadimas Arfeto, Chaoning Zhang, Hyundong Shin
2023	J	`jnl`	Segment Anything Meets Universal Adversarial Perturbation. CoRR Dongshen Han, Sheng Zheng, Chaoning Zhang
2023	J	`jnl`	Segment Anything Model (SAM) Meets Glass: Mirror and Transparent Objects Cannot Be Easily Detected. CoRR Dongsheng Han, Chaoning Zhang, Yu Qiao, Maryam Qamar, Yuna Jung, Seungkyu Lee, Sung-Ho Bae, Choong Seon Hong
2023	A*	`conf`	Simple Techniques are Sufficient for Boosting Adversarial Transferability. ACM Multimedia Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon, Choong Seon Hong
2023	J	`jnl`	Single Image Reflection Removal with Reflection Intensity Prior Knowledge. CoRR Dongshen Han, Seungkyu Lee, Chaoning Zhang, Heechan Yoon, Hyukmin Kwon, Hyun-Cheol Kim, HyonGon Choo
2023	J	`jnl`	Swin Transformer-Based Dynamic Semantic Communication for Multi-User with Different Computing Capacity. CoRR Loc X. Nguyen, Ye Lin Tun, Yan Kyaw Tun, Minh N. H. Nguyen, Chaoning Zhang, Zhu Han, Choong Seon Hong
2023	J	`jnl`	Test-Time Adaptation in the Dynamic World With Compound Domain Knowledge Management. IEEE Robotics Autom. Lett. Junha Song, Kwanyong Park, Inkyu Shin, Sanghyun Woo, Chaoning Zhang, In So Kweon
2023	J	`jnl`	Text-to-image Diffusion Models in Generative AI: A Survey. CoRR Chenshuang Zhang, Chaoning Zhang, Mengchun Zhang, In So Kweon
2023	A*	`conf`	Towards Efficient Image Compression Without Autoregressive Models. NeurIPS Muhammad Salman Ali, Yeongwoong Kim, Maryam Qamar, Sung-Chang Lim, Donghyun Kim, Chaoning Zhang, Sung-Ho Bae, Hui Yong Kim
2023	J	`jnl`	Towards Lightweight Deep Classification for Low-Resolution Synthetic Aperture Radar (SAR) Images: An Empirical Study. Remote. Sens. Sheng Zheng, Xinhong Hao, Chaoning Zhang, Wen Zhou, Lefan Duan
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
2023	J	`jnl`	What if we have Meta GPT? From Content Singularity to Human-Metaverse Interaction in AIGC Era. CoRR Lik-Hang Lee, Pengyuan Zhou, Chaoning Zhang, Simo Hosio
2023	J	`jnl`	When ChatGPT for Computer Vision Will Come? From 2D to 3D. CoRR Chenghao Li, Chaoning Zhang
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`	Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CVPR Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon
2022	J	`jnl`	Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. CoRR Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, 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	A*	`conf`	Investigating Top-k White-Box and Transferable Black-box Attack. CVPR Chaoning Zhang, Philipp Benz, Adil Karjauv, Jae-Won Cho, Kang Zhang, In So Kweon
2022	J	`jnl`	Investigating Top-k White-Box and Transferable Black-box Attack. CoRR Chaoning Zhang, Philipp Benz, Adil Karjauv, Jae-Won Cho, Kang Zhang, In So Kweon
2022	J	`jnl`	MS2Net: Multi-Scale and Multi-Stage Feature Fusion for Blurred Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. Axi Niu, Yu Zhu, Chaoning Zhang, Jinqiu Sun, Pei Wang, In So Kweon, Yanning Zhang
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
2022	J	`jnl`	On the Pros and Cons of Momentum Encoder in Self-Supervised Visual Representation Learning. CoRR Trung X. Pham, Chaoning Zhang, Axi Niu, Kang Zhang, Chang D. Yoo
2022	J	`jnl`	Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation. CoRR Qilong Zhang, Chaoning Zhang, Chaoqun Li, Jingkuan Song, Lianli Gao, Heng Tao Shen
2022	J	`jnl`	Rotation-aware correlation filters for robust visual tracking. J. Vis. Commun. Image Represent. Jiawen Liao, Chun Qi, Jianzhong Cao, Xiaofang Wang, Long Ren, Chaoning Zhang
2021	J	`jnl`	A Brief Survey on Deep Learning Based Data Hiding, Steganography and Watermarking. CoRR Chaoning Zhang, Chenguo Lin, Philipp Benz, Kejiang Chen, Weiming Zhang, In So Kweon
2021	J	`jnl`	A Survey On Universal Adversarial Attack. CoRR Chaoning Zhang, Philipp Benz, Chenguo Lin, Adil Karjauv, Jing Wu, In So Kweon
2021	A*	`conf`	A Survey on Universal Adversarial Attack. IJCAI Chaoning Zhang, Philipp Benz, Chenguo Lin, Adil Karjauv, Jing Wu, In So Kweon
2021	A	`conf`	Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs. BMVC Philipp Benz, Soomin Ham, Chaoning Zhang, Adil Karjauv, In So Kweon
2021	J	`jnl`	Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs. CoRR Philipp Benz, Soomin Ham, Chaoning Zhang, Adil Karjauv, In So Kweon
2021	A*	`conf`	Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective. ICCV Philipp Benz, Chaoning Zhang, In So Kweon
2021	A*	`conf`	Data-free Universal Adversarial Perturbation and Black-box Attack. ICCV Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon
2021	A	`conf`	Motionsnap: A Motion Sensor-Based Approach for Automatic Capture and Editing of Photos and Videos on Smartphones. ICME Adil Karjauv, Sanzhar Bakhtiyarov, Chaoning Zhang, Jean-Charles Bazin, In So Kweon
2021	A	`conf`	ResNet or DenseNet? Introducing Dense Shortcuts to ResNet. WACV Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw, Seokju Lee, Junsik Kim, François Rameau, Jean-Charles Bazin, In So Kweon
2021	—	`conf`	Restoration of Video Frames From a Single Blurred Image With Motion Understanding. CVPR Workshops Dawit Mureja Argaw, Junsik Kim, François Rameau, Chaoning Zhang, In So Kweon
2021	J	`jnl`	Restoration of Video Frames from a Single Blurred Image with Motion Understanding. CoRR Dawit Mureja Argaw, Junsik Kim, François Rameau, Chaoning Zhang, In So Kweon
2021	A	`conf`	Revisiting Batch Normalization for Improving Corruption Robustness. WACV Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon
2021	J	`jnl`	Towards Robust Data Hiding Against (JPEG) Compression: A Pseudo-Differentiable Deep Learning Approach. CoRR Chaoning Zhang, Adil Karjauv, Philipp Benz, In So Kweon
2021	A*	`conf`	Towards Robust Deep Hiding Under Non-Differentiable Distortions for Practical Blind Watermarking. ACM Multimedia Chaoning Zhang, Adil Karjauv, Philipp Benz, In So Kweon
2021	J	`jnl`	Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective. CoRR Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon
2021	A*	`conf`	Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective. AAAI Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon
2021	A	`conf`	Universal Adversarial Training with Class-Wise Perturbations. ICME Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon
2021	J	`jnl`	Universal Adversarial Training with Class-Wise Perturbations. CoRR Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon
2021	J	`jnl`	Unrestricted Adversarial Attacks on ImageNet Competition. CoRR 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
2020	J	`jnl`	Batch Normalization Increases Adversarial Vulnerability: Disentangling Usefulness and Robustness of Model Features. CoRR Philipp Benz, Chaoning Zhang, In So Kweon
2020	A*	`conf`	CD-UAP: Class Discriminative Universal Adversarial Perturbation. AAAI Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In-So Kweon
2020	J	`jnl`	CD-UAP: Class Discriminative Universal Adversarial Perturbation. CoRR Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In So Kweon
2020	J	`jnl`	Data from Model: Extracting Data from Non-robust and Robust Models. CoRR Philipp Benz, Chaoning Zhang, Tooba Imtiaz, In-So Kweon
2020	A	`conf`	DeepPTZ: Deep Self-Calibration for PTZ Cameras. WACV Chaoning Zhang, François Rameau, Junsik Kim, Dawit Mureja Argaw, Jean-Charles Bazin, In So Kweon
2020	—	`conf`	Double Targeted Universal Adversarial Perturbations. ACCV (4) Philipp Benz, Chaoning Zhang, Tooba Imtiaz, In So Kweon
2020	J	`jnl`	Double Targeted Universal Adversarial Perturbations. CoRR Philipp Benz, Chaoning Zhang, Tooba Imtiaz, In So Kweon
2020	J	`jnl`	ResNet or DenseNet? Introducing Dense Shortcuts to ResNet. CoRR Chaoning Zhang, Philipp Benz, Dawit Mureja Argaw, Seokju Lee, Junsik Kim, François Rameau, Jean-Charles Bazin, In So Kweon
2020	J	`jnl`	Revisiting Batch Normalization for Improving Corruption Robustness. CoRR Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon
2020	—	`conf`	Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy. Preregister@NeurIPS Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon
2020	J	`jnl`	Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy. CoRR Philipp Benz, Chaoning Zhang, Adil Karjauv, In So Kweon
2020	A*	`conf`	UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging. NeurIPS Chaoning Zhang, Philipp Benz, Adil Karjauv, Geng Sun, In So Kweon
2020	A*	`conf`	Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations. CVPR Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In So Kweon
2020	J	`jnl`	Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations. CoRR Chaoning Zhang, Philipp Benz, Tooba Imtiaz, In-So Kweon
2019	A	`conf`	Revisiting Residual Networks with Nonlinear Shortcuts. BMVC Chaoning Zhang, François Rameau, Seokju Lee, Junsik Kim, Philipp Benz, Dawit Mureja Argaw, Jean-Charles Bazin, In So Kweon