Cheng-Zhong Xu

papers

1,205

total citations

papers (22)

FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction

CVPR 2022arXiv

363

citations

DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving

AAAI 2025arXiv

citations

LAFEAT: Piercing Through Adversarial Defenses With Latent Features

CVPR 2021arXiv

citations

Weakly Supervised Monocular 3D Object Detection Using Multi-View Projection and Direction Consistency

CVPR 2023arXiv

citations

DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation

CVPR 2025arXiv

citations

NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving

AAAI 2025arXiv

citations

OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving

AAAI 2025arXiv

citations

MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack

NEURIPS 2022arXiv

citations

Towards Inadequately Pre-trained Models in Transfer Learning

ICCV 2023arXiv

citations

BHViT: Binarized Hybrid Vision Transformer

CVPR 2025arXiv

citations

A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment

CVPR 2025

citations

AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models

ICCV 2023

citations

Leveraging Frame Affinity for sRGB-to-RAW Video De-rendering

CVPR 2024

citations

Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity

CVPR 2023

citations

Ranking-based Client Imitation Selection for Efficient Federated Learning

ICML 2024

citations

Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks

CVPR 2023

citations

Progressive Distribution Matching for Federated Semi-Supervised Learning

AAAI 2025

citations

Cheng-Zhong Xu

papers (22)

FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction

One Shot Face Swapping on Megapixels

Language Prompt for Autonomous Driving

ProposalContrast: Unsupervised Pre-training for LiDAR-Based 3D Object Detection

Adaptive Consistency Regularization for Semi-Supervised Transfer Learning

Semi-Supervised 3D Object Detection with Proficient Teachers

DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving

LAFEAT: Piercing Through Adversarial Defenses With Latent Features

Weakly Supervised Monocular 3D Object Detection Using Multi-View Projection and Direction Consistency

DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation

NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving

OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving

MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack

Towards Inadequately Pre-trained Models in Transfer Learning

BHViT: Binarized Hybrid Vision Transformer

A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment

AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models

Leveraging Frame Affinity for sRGB-to-RAW Video De-rendering

Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity

Ranking-based Client Imitation Selection for Efficient Federated Learning

Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks

Progressive Distribution Matching for Federated Semi-Supervised Learning

papers (22)

FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction

One Shot Face Swapping on Megapixels

Language Prompt for Autonomous Driving

ProposalContrast: Unsupervised Pre-training for LiDAR-Based 3D Object Detection

Adaptive Consistency Regularization for Semi-Supervised Transfer Learning

Semi-Supervised 3D Object Detection with Proficient Teachers

DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving

LAFEAT: Piercing Through Adversarial Defenses With Latent Features

Weakly Supervised Monocular 3D Object Detection Using Multi-View Projection and Direction Consistency

DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation

NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving

OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving

MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack

Towards Inadequately Pre-trained Models in Transfer Learning

BHViT: Binarized Hybrid Vision Transformer

A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment

AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models

Leveraging Frame Affinity for sRGB-to-RAW Video De-rendering

Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity

Ranking-based Client Imitation Selection for Efficient Federated Learning

Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks

Progressive Distribution Matching for Federated Semi-Supervised Learning