Rick Siow Mong Goh
18 papers · 2016–2025 · 8 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint
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Dynamic Duo
(13)
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Conference Pioneer
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(53)
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(6)
Application Areas
(5)
Learning Paradigms
(5)
Deep Learning
(4)
Learning Types
(4)
Core AI Β· Artificial Intelligence
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Optimization & Theory
(2)
Techniques
(2)
Analysis
(1)
Applications
(1)
Architectures
(1)
Core AI Β· Computer Vision
(1)
Keywords
domain adaptation
(3)
federated learning
(3)
knowledge distillation
(2)
multimodal learning
(2)
client drift
(2)
adversarial learning
(2)
large language model
(2)
transfer learning
(2)
composed image retrieval
(2)
efficient training
(1)
medical imaging
(1)
visual question answering
(1)
unsupervised learning
(1)
named entity recognition
(1)
prompt learning
(1)
semantic segmentation
(1)
low-resource learning
(1)
adversarial training
(1)
domain generalization
(1)
unsupervised domain adaptation
(1)
Papers
Ad^2mix: Adversarial and Adaptive Mixup for Unsupervised Domain Adaptation
WACV 2025
AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation
MICCAI 2025
Federated Residual Low-Rank Adaptation of Large Language Models
ICLR 2025
Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning
AAAI 2025
VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering
AAAI 2025
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity
CVPR 2024
A New Perspective to Boost Performance Fairness For Medical Federated Learning
MICCAI 2024
BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays
NeurIPS 2024
MedMLP: An Efficient MLP-like Network for Zero-shot Retinal Image Classification
MICCAI 2024
MedSynth: Leveraging Generative Model for Healthcare Data Sharing
MICCAI 2024
Multi-scale Region-aware Implicit Neural Network for Medical Images Matting
MICCAI 2024
Sentence-level Prompts Benefit Composed Image Retrieval
ICLR 2024
UrFound: Towards Universal Retinal Foundation Models via Knowledge-Guided Masked Modeling
MICCAI 2024
MA-BERT: Towards Matrix Arithmetic-only BERT Inference by Eliminating Complex Non-Linear Functions
ICLR 2023
Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation
WACV 2022
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
ICLR 2022
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition
ACL 2019
Transfer Hashing with Privileged Information
IJCAI 2016