Cheng-Zhong Xu

A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment CVPR 2025 DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving AAAI 2025 DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation CVPR 2025 HMoE: Heterogeneous Mixture of Experts for Language Modeling EMNLP 2025 Information-Bottleneck Driven Binary Neural Network for Change Detection ICCV 2025 Language Prompt for Autonomous Driving AAAI 2025 Mixture of Weight-shared Heterogeneous Group Attention Experts for Dynamic Token-wise KV Optimization EMNLP 2025 NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving AAAI 2025 OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving AAAI 2025 Progressive Distribution Matching for Federated Semi-Supervised Learning AAAI 2025 Scaling Laws for Floating–Point Quantization Training ICML 2025 HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning NeurIPS 2024 Leveraging Frame Affinity for sRGB-to-RAW Video De-rendering CVPR 2024 Ranking-based Client Imitation Selection for Efficient Federated Learning ICML 2024 Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity CVPR 2023 AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models ICCV 2023 Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks CVPR 2023 Towards Inadequately Pre-trained Models in Transfer Learning ICCV 2023 Weakly Supervised Monocular 3D Object Detection Using Multi-View Projection and Direction Consistency CVPR 2023 Boosting Active Learning via Improving Test Performance AAAI 2022 FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction CVPR 2022 MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack NeurIPS 2022 ProposalContrast: Unsupervised Pre-training for LiDAR-Based 3D Object Detection ECCV 2022 Semi-Supervised 3D Object Detection with Proficient Teachers ECCV 2022 Adaptive Consistency Regularization for Semi-Supervised Transfer Learning CVPR 2021 LAFEAT: Piercing Through Adversarial Defenses With Latent Features CVPR 2021 One Shot Face Swapping on Megapixels CVPR 2021 Pay Attention to Features, Transfer Learn Faster CNNs ICLR 2020 RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr ICML 2020 Dynamic Channel Pruning: Feature Boosting and Suppression ICLR 2019 Focused Quantization for Sparse CNNs NeurIPS 2019 SpHMC: Spectral Hamiltonian Monte Carlo AAAI 2019