Cheng-Zhong Xu

32 papers · 2019–2025 · 8 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🐝 Cross-Pollinator (11) 🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (6) 🌈 Renaissance Researcher (6)

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) 🏃 Academic Marathon (6) 🤝 Dynamic Duo (10) 🏆 Grand Slam 🧬 Topic Evolution 📈 Trend Setter ⚡ Prolific Year (5) 💎 Century Club (32) 🚀 Conference Pioneer 🗃️ Keyword Collector (144) 🔥 Unstoppable (7)

Conferences

CVPR (10) AAAI (7) ICCV (3) ICML (3) NIPS (3) ECCV (2) EMNLP (2) ICLR (2)

Top co-authors

Xitong Gao (10) Jianbing Shen (8) Wencheng Han (5) Yiren Zhao (5) Xingjian Li (5) Dongping Liao (4) Haoyi Xiong (3) Li Li (3) Junbo Yin (3) Dejing Dou (3)

Keywords

autonomous driving (5) model compression (4) federated learning (3) neural network (3) adversarial attack (3) transfer learning (2) semi-supervised learning (2) convolutional neural network (2) gradient-based attack (2) trajectory prediction (2) mixture of expert (2) diffusion model (2) feature extraction (1) ensemble learning (1) image classification (1) domain adaptation (1) representation learning (1) few-shot learning (1) sparse representation (1) stochastic gradient (1)

Papers

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