Yew Soon Ong
16 papers · 2017–2024 · 7 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
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (42) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Grand Slam
π
Keyword Champion
(2)
π
Trend Setter
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
β
The Questioner
ποΈ
Keyword Collector
(95)
Top co-authors
Research topics
Machine Learning
(13)
Deep Learning
(8)
Learning Types Β· Machine Learning
(8)
Core Methods
(7)
Architectures
(6)
Learning Types Β· Deep Learning
(5)
Artificial Intelligence
(4)
Computer Vision
(3)
Analysis
(3)
Core AI
(3)
Optimization & Theory
(3)
Mathematics & Optimization
(2)
Application Areas
(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Learning Paradigms Β· Machine Learning
(2)
Keywords
adversarial robustness
(2)
jacobian regularization
(2)
data heterogeneity
(2)
federated learning
(2)
volume rendering
(1)
contrastive learning
(1)
concept drift
(1)
attention mechanism
(1)
image classification
(1)
domain adaptation
(1)
game theory
(1)
bayesian inference
(1)
scene understanding
(1)
graph theory
(1)
optimal transport
(1)
semantic segmentation
(1)
embedding learning
(1)
self-supervised learning
(1)
object detection
(1)
continual learning
(1)
Papers
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants
AAAI 2024
Few-shot NeRF by Adaptive Rendering Loss Regularization
ECCV 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
NeurIPS 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation
AAAI 2024
PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation
AAAI 2024
Road Network Representation Learning with the Third Law of Geography
NeurIPS 2024
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
NeurIPS 2024
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction
NeurIPS 2022
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations?
IJCAI 2022
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences
IJCAI 2022
Learning Conjoint Attentions for Graph Neural Nets
NeurIPS 2021
Unsupervised Object-Level Representation Learning from Scene Images
NeurIPS 2021
A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario
AAAI 2020
Jacobian Adversarially Regularized Networks for Robustness
ICLR 2020
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression
ICML 2018
MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks With Privileged Information
CVPR 2017