← Authors

Cheng-Zhong Xu

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

Achievements

🌈 Renaissance Researcher (6) 🐝 Cross-Pollinator (11) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (70) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (6) 🀝 Dynamic Duo (10) πŸ† Grand Slam 🧬 Topic Evolution πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ’Ž Century Club (32) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (144) πŸ”₯ 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