Yiu-ming Cheung
30 papers · 2013–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12) π Conference Polyglot (8)
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Renaissance Researcher
(6)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(10)
π
Grand Slam
π
Keyword Champion
(5)
ποΈ
Keyword Collector
(145)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(28)
π₯
Unstoppable
(5)
β‘
Prolific Year
(10)
Conferences
AAAI (8)
NIPS (6)
CVPR (5)
IJCAI (4)
ICML (3)
ICCV (2)
ACML (1)
ICLR (1)
Top co-authors
Keywords
class imbalance
(5)
representation learning
(4)
long-tailed distribution
(4)
distance metric learning
(2)
label noise
(2)
self-polar triangle
(2)
3d gaussian splatting
(2)
uncertainty quantification
(2)
visual prompt tuning
(2)
projective geometry
(2)
federated learning
(2)
feature fusion
(2)
bayesian inference
(1)
ensemble learning
(1)
transfer learning
(1)
variational inference
(1)
causal inference
(1)
unsupervised learning
(1)
online learning
(1)
knowledge transfer
(1)
Papers
DRFGD: Disentangled Representation-Focused Generative Defense for Attack-Tolerant Cross-Modal Hashing
AAAI 2026
Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering
AAAI 2026
Component-Level Segmentation for Oracle Bone Inscription Decipherment
AAAI 2025
GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning
AAAI 2025
Simple yet Effective Incomplete Multi-view Clustering: Similarity-level Imputation and Intra-view Hybrid-group Prototype Construction
ICLR 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
Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead
ICML 2025
Asynchronous Federated Clustering with Unknown Number of Clusters
AAAI 2025
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
NIPS 2024
GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting
NIPS 2024
Learning to Shape In-distribution Feature Space for Out-of-distribution Detection
NIPS 2024
Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting
NIPS 2024
Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition
NIPS 2024
Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models
NIPS 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
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
ICML 2024
Interpreting and Improving Large Language Models in Arithmetic Calculation
ICML 2024
Long-Tailed Visual Recognition via Self-Heterogeneous Integration With Knowledge Excavation
CVPR 2023
Label-Noise Learning with Intrinsically Long-Tailed Data
ICCV 2023
Long-Tailed Visual Recognition via Gaussian Clouded Logit Adjustment
CVPR 2022
Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering
IJCAI 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
The Common Self-Polar Triangle of Concentric Circles and Its Application to Camera Calibration
CVPR 2015
Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization
ACML 2015
Online Group Feature Selection
IJCAI 2013