Cheung, Yiu-ming

37 publications

NeurIPS 2025 Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective Chenwang Wu, Yiu-ming Cheung, Bo Han, Defu Lian

AAAI 2025 Asynchronous Federated Clustering with Unknown Number of Clusters Yunfan Zhang, Yiqun Zhang, Yang Lu, Mengke Li, Xi Chen, Yiu-ming Cheung

ICML 2025 Bifurcate Then Alienate: Incomplete Multi-View Clustering via Coupled Distribution Learning with Linear Overhead Shengju Yu, Yiu-Ming Cheung, Siwei Wang, Xinwang Liu, En Zhu

AAAI 2025 Component-Level Segmentation for Oracle Bone Inscription Decipherment Zhikai Hu, Yiu-ming Cheung, Yonggang Zhang, Peiying Zhang, Puiling Tang

NeurIPS 2025 Epistemic Uncertainty for Generated Image Detection Jun Nie, Yonggang Zhang, Tongliang Liu, Yiu-ming Cheung, Bo Han, Xinmei Tian

NeurIPS 2025 FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning Zhiqin Yang, Yonggang Zhang, Chenxin Li, Yiu-ming Cheung, Bo Han, Yixuan Yuan

AAAI 2025 GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning Jintao Huang, Yiu-ming Cheung, Chi-Man Vong, Wenbin Qian

ICCV 2025 PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation Chikai Shang, Mengke Li, Yiqun Zhang, Zhen Chen, Jinlin Wu, Fangqing Gu, Yang Lu, Yiu-Ming Cheung

CVPR 2025 ReCon: Enhancing True Correspondence Discrimination Through Relation Consistency for Robust Noisy Correspondence Learning Quanxing Zha, Xin Liu, Shu-Juan Peng, Yiu-ming Cheung, Xing Xu, Nannan Wang

ICLR 2025 Simple yet Effective Incomplete Multi-View Clustering: Similarity-Level Imputation and Intra-View Hybrid-Group Prototype Construction Shengju Yu, Zhibin Dong, Siwei Wang, Pei Zhang, Yi Zhang, Xinwang Liu, Naiyang Guan, Tiejun Li, Yiu-ming Cheung

NeurIPS 2025 Unlocker: Disentangle the Deadlock of Learning Between Label-Noisy and Long-Tailed Data Chen Shu, HongJun Xu, Ruichi Zhang, Mengke Li, Yonggang Zhang, Yang Lu, Bo Han, Yiu-ming Cheung, Hanzi Wang

NeurIPS 2024 Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models Qingyuan Zeng, Zhenzhong Wang, Yiu-ming Cheung, Min Jiang

AAAI 2024 Feature Fusion from Head to Tail for Long-Tailed Visual Recognition Mengke Li, Zhikai Hu, Yang Lu, Weichao Lan, Yiu-ming Cheung, Hui Huang

AAAI 2024 Federated Learning with Extremely Noisy Clients via Negative Distillation Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang

NeurIPS 2024 FuseFL: One-Shot Federated Learning Through the Lens of Causality with Progressive Model Fusion Zhenheng Tang, Yonggang Zhang, Peijie Dong, Yiu-ming Cheung, Amelie Chi Zhou, Bo Han, Xiaowen Chu

NeurIPS 2024 GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting Xiufeng Huang, Ruiqi Li, Yiu-ming Cheung, Ka Chun Cheung, Simon See, Renjie Wan

NeurIPS 2024 Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition Mengke Li, Ye Liu, Yang Lu, Yiqun Zhang, Yiu-ming Cheung, Hui Huang

ICML 2024 Interpreting and Improving Large Language Models in Arithmetic Calculation Wei Zhang, Chaoqun Wan, Yonggang Zhang, Yiu-Ming Cheung, Xinmei Tian, Xu Shen, Jieping Ye

NeurIPS 2024 Learning to Shape In-Distribution Feature Space for Out-of-Distribution Detection Yonggang Zhang, Jie Lu, Bo Peng, Zhen Fang, Yiu-ming Cheung

ICML 2024 MOKD: Cross-Domain Finetuning for Few-Shot Classification via Maximizing Optimized Kernel Dependence Hongduan Tian, Feng Liu, Tongliang Liu, Bo Du, Yiu-Ming Cheung, Bo Han

NeurIPS 2024 Variational Multi-Scale Representation for Estimating Uncertainty in 3D Gaussian Splatting Ruiqi Li, Yiu-ming Cheung

ECML-PKDD 2023 ARConvL: Adaptive Region-Based Convolutional Learning for Multi-Class Imbalance Classification Shuxian Li, Liyan Song, Xiaoyu Wu, Zheng Hu, Yiu-ming Cheung, Xin Yao

ICCV 2023 Label-Noise Learning with Intrinsically Long-Tailed Data Yang Lu, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang

CVPR 2023 Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation Yan Jin, Mengke Li, Yang Lu, Yiu-ming Cheung, Hanzi Wang

IJCAI 2022 Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering Yiqun Zhang, Yiu-ming Cheung, An Zeng

CVPR 2022 Long-Tailed Visual Recognition via Gaussian Clouded Logit Adjustment Mengke Li, Yiu-ming Cheung, Yang Lu

AAAI 2020 An Ordinal Data Clustering Algorithm with Automated Distance Learning Yiqun Zhang, Yiu-ming Cheung

AAAI 2018 Uplink Communication Efficient Differentially Private Sparse Optimization with Feature-Wise Distributed Data Jian Lou, Yiu-ming Cheung

AAAI 2017 Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations Yang Zhou, Haiping Lu, Yiu-ming Cheung

IJCAI 2017 Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift Yang Lu, Yiu-ming Cheung, Yuan Yan Tang

ECML-PKDD 2017 Feature Extraction for Incomplete Data via Low-Rank Tucker Decomposition Qiquan Shi, Yiu-ming Cheung, Qibin Zhao

MLJ 2017 Proximal Average Approximated Incremental Gradient Descent for Composite Penalty Regularized Empirical Risk Minimization Yiu-ming Cheung, Jian Lou

CVPR 2016 Homography Estimation from the Common Self-Polar Triangle of Separate Ellipses Haifei Huang, Hui Zhang, Yiu-ming Cheung

IJCAI 2015 Efficient Generalized Conditional Gradient with Gradient Sliding for Composite Optimization Yiu-ming Cheung, Jian Lou

ACML 2015 Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization Yiu-ming Cheung, Jian Lou

CVPR 2015 The Common Self-Polar Triangle of Concentric Circles and Its Application to Camera Calibration Haifei Huang, Hui Zhang, Yiu-ming Cheung

IJCAI 2013 Online Group Feature Selection Jing Wang, Zhong-Qiu Zhao, Xuegang Hu, Yiu-ming Cheung, Meng Wang, Xindong Wu