Beng Chin Ooi
12 papers · 2005–2025 · 6 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 ↓+3 more ↓ Show less ↑
π Academic Marathon Β· Ultra π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Silver ποΈ Keyword Collector (65)
π
Conference Pioneer
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(11)
Application Areas
(6)
Core Methods
(5)
Deep Learning
(4)
Learning Types Β· Machine Learning
(4)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Data Science & Analytics
(2)
Healthcare & Medicine
(2)
Architectures
(2)
Clinical
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Computer Science
(1)
Computer Vision
(1)
Keywords
model compression
(2)
electronic medical record
(2)
representation learning
(2)
active learning
(1)
stochastic gradient descent
(1)
semi-supervised learning
(1)
domain adaptation
(1)
manifold learning
(1)
neural network regularization
(1)
bayesian inference
(1)
attention mechanism
(1)
data augmentation
(1)
image reconstruction
(1)
neural architecture search
(1)
medical image classification
(1)
pseudo labeling
(1)
distribution shift
(1)
feature hashing
(1)
online learning
(1)
neural tangent kernel
(1)
Papers
Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data
IJCAI 2025
HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation
ICML 2025
In-Context Adaptation to Concept Drift for Learned Database Operations
ICML 2025
NeuralCohort: Cohort-aware Neural Representation Learning for Healthcare Analytics
ICML 2025
Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics
ICML 2024
A Fusion-Denoising Attack on InstaHide with Data Augmentation
AAAI 2022
BoostMIS: Boosting Medical Image Semi-Supervised Learning With Adaptive Pseudo Labeling and Informative Active Annotation
CVPR 2022
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization
ICLR 2022
Adaptive Knowledge Driven Regularization for Deep Neural Networks
AAAI 2021
Cuckoo Feature Hashing: Dynamic Weight Sharing for Sparse Analytics
IJCAI 2018
Medical Concept Embedding with Time-Aware Attention
IJCAI 2018
Phrase-Based Statistical Machine Translation: A Level of Detail Approach
IJCNLP 2005