← Authors

Chaoning Zhang

19 papers · 2020–2026 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (5) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (32) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (14) 🧬 Topic Evolution πŸ† Keyword Champion (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (18) πŸ—ƒοΈ Keyword Collector (80) ❓ The Questioner (2) ⚑ Prolific Year (6)

Conferences

AAAI (3) CVPR (3) ICCV (3) IJCAI (3) WACV (3) NIPS (2) ECCV (1) ICLR (1)

Top co-authors

In So Kweon (14) Philipp Benz (10) Adil Karjauv (6) Kang Zhang (4) Yang Yang (3) Chang D. Yoo (3) Chenshuang Zhang (3) Dawit Mureja Argaw (2) Ning Xie (2) Francois Rameau (2)

Keywords

adversarial attack (5) universal adversarial perturbation (5) representation learning (2) deep steganography (2) adversarial example (2) image classification (2) deep neural network (2) black-box attack (2) targeted attack (2) adversarial robustness (2) neural network (2) batch normalization (2) data-free learning (1) video temporal grounding (1) model robustness (1) video understanding (1) model architecture (1) domain adaptation (1) feature representation (1) multimodal learning (1)

Papers

From Dialogue to Destination: Geography-Aware Large Language Models with Multimodal Fusion for Conversational Recommendation AAAI 2026
KDA: Knowledge Diffusion Alignment with Enhanced Context for Video Temporal Grounding ICCV 2025
SyncGaussian: Stable 3D Gaussian-Based Talking Head Generation with Enhanced Lip Sync via Discriminative Speech Features IJCAI 2025
Towards Efficient Image Compression Without Autoregressive Models NIPS 2023
A Survey on Masked Autoencoder for Visual Self-supervised Learning IJCAI 2023
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo CVPR 2022
Investigating Top-k White-Box and Transferable Black-Box Attack CVPR 2022
Decoupled Adversarial Contrastive Learning for Self-Supervised Adversarial Robustness ECCV 2022
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning ICLR 2022
Data-Free Universal Adversarial Perturbation and Black-Box Attack ICCV 2021
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective AAAI 2021
Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective ICCV 2021
A Survey on Universal Adversarial Attack IJCAI 2021
Revisiting Batch Normalization for Improving Corruption Robustness WACV 2021
ResNet or DenseNet? Introducing Dense Shortcuts to ResNet WACV 2021
DeepPTZ: Deep Self-Calibration for PTZ Cameras WACV 2020
CD-UAP: Class Discriminative Universal Adversarial Perturbation AAAI 2020
UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging NIPS 2020
Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations CVPR 2020