Yew Soon Ong
16 papers · 2017–2024 · 7 conferences · across top CS/AI conferences
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AAAI (4)
IJCAI (2)
CVPR (1)
ECCV (1)
ICLR (1)
ICML (1)
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Keywords
data heterogeneity
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federated learning
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concept drift
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volume rendering
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continual learning
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semantic segmentation
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domain adaptation
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self-supervised learning
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game theory
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bayesian inference
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scene understanding
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graph theory
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object detection
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embedding learning
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optimal transport
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adversarial robustness
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attention mechanism
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knowledge transfer
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distributed learning
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image classification
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Papers
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
Few-shot NeRF by Adaptive Rendering Loss Regularization
ECCV 2024
Road Network Representation Learning with the Third Law of Geography
NIPS 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
NIPS 2024
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
NIPS 2024
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants
AAAI 2024
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences
IJCAI 2022
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction
NIPS 2022
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations?
IJCAI 2022
Unsupervised Object-Level Representation Learning from Scene Images
NIPS 2021
Learning Conjoint Attentions for Graph Neural Nets
NIPS 2021
Jacobian Adversarially Regularized Networks for Robustness
ICLR 2020
A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario
AAAI 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