Xu, Cheng-Zhong

37 publications

TMLR 2026 A Survey on Federated Fine-Tuning of Large Language Models Yebo Wu, Chunlin Tian, Jingguang Li, He Sun, KaHou Tam, Zhanting Zhou, Haicheng Liao, Jing Xiong, Zhijiang Guo, Li Li, Cheng-zhong Xu

CVPR 2025 A3: Few-Shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment Xuan Wang, Xitong Gao, Dongping Liao, Tianrui Qin, Yu-liang Lu, Cheng-zhong Xu

AAAI 2025 DME-Driver: Integrating Human Decision Logic and 3D Scene Perception in Autonomous Driving Wencheng Han, Dongqian Guo, Cheng-Zhong Xu, Jianbing Shen

CVPR 2025 DrivingSphere: Building a High-Fidelity 4D World for Closed-Loop Simulation Tianyi Yan, Dongming Wu, Wencheng Han, Junpeng Jiang, Xia Zhou, Kun Zhan, Cheng-zhong Xu, Jianbing Shen

NeurIPS 2025 FLiP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning Dongping Liao, Xitong Gao, Cheng-zhong Xu

ICCV 2025 Information-Bottleneck Driven Binary Neural Network for Change Detection Kaijie Yin, Zhiyuan Zhang, Shu Kong, Tian Gao, Cheng-Zhong Xu, Hui Kong

AAAI 2025 Language Prompt for Autonomous Driving Dongming Wu, Wencheng Han, Yingfei Liu, Tiancai Wang, Cheng-Zhong Xu, Xiangyu Zhang, Jianbing Shen

AAAI 2025 NEST: A Neuromodulated Small-World Hypergraph Trajectory Prediction Model for Autonomous Driving Chengyue Wang, Haicheng Liao, Bonan Wang, Yanchen Guan, Bin Rao, Ziyuan Pu, Zhiyong Cui, Cheng-Zhong Xu, Zhenning Li

AAAI 2025 OLiDM: Object-Aware LiDAR Diffusion Models for Autonomous Driving Tianyi Yan, Junbo Yin, Xianpeng Lang, Ruigang Yang, Cheng-Zhong Xu, Jianbing Shen

AAAI 2025 Progressive Distribution Matching for Federated Semi-Supervised Learning Dongping Liao, Xitong Gao, Yabo Xu, Cheng-Zhong Xu

NeurIPS 2025 RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation Tianyi Yan, Wencheng Han, Xia Zhou, Xueyang Zhang, Kun Zhan, Cheng-zhong Xu, Jianbing Shen

ICML 2025 Scaling Laws for Floating–Point Quantization Training Xingwu Sun, Shuaipeng Li, Ruobing Xie, Weidong Han, Kan Wu, Zhen Yang, Yixing Li, An Wang, Shuai Li, Jinbao Xue, Yu Cheng, Yangyu Tao, Zhanhui Kang, Cheng-Zhong Xu, Di Wang, Jie Jiang

TMLR 2024 APBench: A Unified Availability Poisoning Attack and Defenses Benchmark Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-zhong Xu

CVPR 2024 Leveraging Frame Affinity for sRGB-to-RAW Video De-Rendering Chen Zhang, Wencheng Han, Yang Zhou, Jianbing Shen, Cheng-zhong Xu, Wentao Liu

ICML 2024 Ranking-Based Client Imitation Selection for Efficient Federated Learning Chunlin Tian, Zhan Shi, Xinpeng Qin, Li Li, Cheng-Zhong Xu

MLJ 2024 Towards Accurate Knowledge Transfer via Target-Awareness Representation Disentanglement Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou

CVPR 2023 Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity Dongping Liao, Xitong Gao, Yiren Zhao, Cheng-Zhong Xu

ICCV 2023 AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models Xinquan Chen, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu

CVPR 2023 Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks Yunrui Yu, Cheng-Zhong Xu

ECML-PKDD 2023 Overcoming Catastrophic Forgetting for Fine-Tuning Pre-Trained GANs Zeren Zhang, Xingjian Li, Tao Hong, Tianyang Wang, Jinwen Ma, Haoyi Xiong, Cheng-Zhong Xu

TMLR 2023 SMILE: Sample-to-Feature Mixup for Efficient Transfer Learning Xingjian Li, Haoyi Xiong, Cheng-zhong Xu, Dejing Dou

ICCV 2023 Towards Inadequately Pre-Trained Models in Transfer Learning Andong Deng, Xingjian Li, Di Hu, Tianyang Wang, Haoyi Xiong, Cheng-Zhong Xu

CVPR 2023 Weakly Supervised Monocular 3D Object Detection Using Multi-View Projection and Direction Consistency Runzhou Tao, Wencheng Han, Zhongying Qiu, Cheng-Zhong Xu, Jianbing Shen

AAAI 2022 Boosting Active Learning via Improving Test Performance Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu

CVPR 2022 FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction Liang Gao, Huazhu Fu, Li Li, Yingwen Chen, Ming Xu, Cheng-Zhong Xu

NeurIPS 2022 MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack Yunrui Yu, Xitong Gao, Cheng-Zhong Xu

ECCV 2022 ProposalContrast: Unsupervised Pre-Training for LiDAR-Based 3D Object Detection Junbo Yin, Dingfu Zhou, Liangjun Zhang, Jin Fang, Cheng-Zhong Xu, Jianbing Shen, Wenguan Wang

NeurIPSW 2022 SMILE: Sample-to-Feature MIxup for Efficient Transfer LEarning Xingjian Li, Haoyi Xiong, Cheng-zhong Xu, Dejing Dou

ECCV 2022 Semi-Supervised 3D Object Detection with Proficient Teachers Junbo Yin, Jin Fang, Dingfu Zhou, Liangjun Zhang, Cheng-Zhong Xu, Jianbing Shen, Wenguan Wang

CVPR 2021 Adaptive Consistency Regularization for Semi-Supervised Transfer Learning Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou

CVPR 2021 LAFEAT: Piercing Through Adversarial Defenses with Latent Features Yunrui Yu, Xitong Gao, Cheng-Zhong Xu

CVPR 2021 One Shot Face Swapping on Megapixels Yuhao Zhu, Qi Li, Jian Wang, Cheng-Zhong Xu, Zhenan Sun

ICLR 2020 Pay Attention to Features, Transfer Learn Faster CNNs Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu

ICML 2020 RIFLE: Backpropagation in Depth for Deep Transfer Learning Through Re-Initializing the Fully-Connected LayEr Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou

ICLR 2019 Dynamic Channel Pruning: Feature Boosting and Suppression Xitong Gao, Yiren Zhao, Łukasz Dudziak, Robert Mullins, Cheng-zhong Xu

NeurIPS 2019 Focused Quantization for Sparse CNNs Yiren Zhao, Xitong Gao, Daniel Bates, Robert Mullins, Cheng-Zhong Xu

AAAI 2019 SpHMC: Spectral Hamiltonian Monte Carlo Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan