Yiu-ming Cheung

30 papers · 2013–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (61) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🤝 Dynamic Duo (10) 🏆 Grand Slam 🚀 Conference Pioneer 🔥 Unstoppable · Bronze ⚡ Prolific Year · Prolific 💎 Century Club · Bronze 🌈 Renaissance Researcher (5) 📈 Trend Setter 🗃️ Keyword Collector (167)

Venues

AAAI (8) NeurIPS (6) CVPR (5) IJCAI (4) ICML (3) ICCV (2) ACML (1) ICLR (1)

Top co-authors

Yang Lu (10) Mengke Li (7) Yiqun Zhang (6) Yonggang Zhang (5) Bo Han (4) Hanzi Wang (3) Zhikai HU (3) Yiliang Zhang (2) Siwei Wang (2) Ruiqi Li (2)

Research topics

Machine Learning (24) Core Methods (16) Deep Learning (12) Learning Types · Machine Learning (11) Artificial Intelligence (9) Computer Vision (7) Core AI (7) Learning Types · Deep Learning (7) Optimization & Theory (7) Application Areas (5) Analysis (4) Techniques (4) Learning Paradigms · Artificial Intelligence (3) Learning Paradigms · Machine Learning (3) Data Science & Analytics (2)

Keywords

class imbalance (5) representation learning (4) long-tailed distribution (4) label noise (2) distance metric learning (2) uncertainty quantification (2) incomplete multi-view clustering (2) 3d gaussian splatting (2) visual prompt tuning (2) projective geometry (2) federated learning (2) feature fusion (2) self-polar triangle (2) bayesian inference (1) ensemble learning (1) transfer learning (1) variational inference (1) causal inference (1) unsupervised learning (1) online learning (1)

Papers

Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering AAAI 2026 DRFGD: Disentangled Representation-Focused Generative Defense for Attack-Tolerant Cross-Modal Hashing AAAI 2026 Asynchronous Federated Clustering with Unknown Number of Clusters AAAI 2025 Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead ICML 2025 Component-Level Segmentation for Oracle Bone Inscription Decipherment AAAI 2025 GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning AAAI 2025 PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation ICCV 2025 ReCon: Enhancing True Correspondence Discrimination through Relation Consistency for Robust Noisy Correspondence Learning CVPR 2025 Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction ICLR 2025 Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models NeurIPS 2024 Feature Fusion from Head to Tail for Long-Tailed Visual Recognition AAAI 2024 Federated Learning with Extremely Noisy Clients via Negative Distillation AAAI 2024 FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion NeurIPS 2024 GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting NeurIPS 2024 Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition NeurIPS 2024 Interpreting and Improving Large Language Models in Arithmetic Calculation ICML 2024 Learning to Shape In-distribution Feature Space for Out-of-distribution Detection NeurIPS 2024 MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence ICML 2024 Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting NeurIPS 2024 Label-Noise Learning with Intrinsically Long-Tailed Data ICCV 2023 Long-Tailed Visual Recognition via Self-Heterogeneous Integration With Knowledge Excavation CVPR 2023 Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering IJCAI 2022 Long-Tailed Visual Recognition via Gaussian Clouded Logit Adjustment CVPR 2022 An Ordinal Data Clustering Algorithm with Automated Distance Learning AAAI 2020 Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift IJCAI 2017 Homography Estimation From the Common Self-Polar Triangle of Separate Ellipses CVPR 2016 Efficient Generalized Conditional Gradient with Gradient Sliding for Composite Optimization IJCAI 2015 Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization ACML 2015 The Common Self-Polar Triangle of Concentric Circles and Its Application to Camera Calibration CVPR 2015 Online Group Feature Selection IJCAI 2013