Chaoning Zhang
21 papers · 2020–2026 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Machine Learning
(14)
Learning Types Β· Machine Learning
(11)
Artificial Intelligence
(10)
Computer Vision
(10)
Deep Learning
(10)
Core AI
(10)
Learning Types Β· Deep Learning
(6)
Optimization & Theory
(5)
Analysis
(4)
Processing
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Techniques
(4)
Architectures
(3)
Natural Language Processing
(2)
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Generation
(2)
Keywords
adversarial attack
(5)
universal adversarial perturbation
(5)
representation learning
(3)
contrastive learning
(2)
deep steganography
(2)
black-box attack
(2)
neural network
(2)
deep neural network
(2)
batch normalization
(2)
adversarial robustness
(2)
image classification
(2)
adversarial example
(2)
targeted attack
(2)
self-supervised learning
(2)
data-free learning
(1)
video temporal grounding
(1)
model robustness
(1)
video understanding
(1)
model architecture
(1)
domain adaptation
(1)
Papers
Experience Transfer for Multimodal LLM Agents in Minecraft Game
CVPR 2026
From Dialogue to Destination: Geography-Aware Large Language Models with Multimodal Fusion for Conversational Recommendation
AAAI 2026
Lightweight LLM Agent Memory with Small Language Models
ACL 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
A Survey on Masked Autoencoder for Visual Self-supervised Learning
IJCAI 2023
Towards Efficient Image Compression Without Autoregressive Models
NeurIPS 2023
Decoupled Adversarial Contrastive Learning for Self-Supervised Adversarial Robustness
ECCV 2022
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo
CVPR 2022
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning
ICLR 2022
Investigating Top-k White-Box and Transferable Black-Box Attack
CVPR 2022
A Survey on Universal Adversarial Attack
IJCAI 2021
Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective
ICCV 2021
Data-Free Universal Adversarial Perturbation and Black-Box Attack
ICCV 2021
ResNet or DenseNet? Introducing Dense Shortcuts to ResNet
WACV 2021
Revisiting Batch Normalization for Improving Corruption Robustness
WACV 2021
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective
AAAI 2021
CD-UAP: Class Discriminative Universal Adversarial Perturbation
AAAI 2020
DeepPTZ: Deep Self-Calibration for PTZ Cameras
WACV 2020
UDH: Universal Deep Hiding for Steganography, Watermarking, and Light Field Messaging
NeurIPS 2020
Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations
CVPR 2020