Yew-Soon Ong
38 papers · 2017–2026 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 15 separate collaboration groups - the largest holds only 32% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Yew-Soon Ong?
7 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Junhao Dong, Piotr Koniusz, Weiming Liu
12 papers
· 2024–2026
· CVPR, AAAI, ICCV
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Hierarchically Robust Zero-shot Vision-language Models
CVPR 2026
Learning Latent Concepts for Detecting Out-of-Distribution Objects
CVPR 2026
NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos
AAAI 2026
Pushing Rendering Boundaries: Hard Gaussian Splatting
AAAI 2026
Confound from All Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness
ICCV 2025
Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis
CVPR 2025
Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices
ICML 2025
Robustifying Zero-Shot Vision Language Models by Subspaces Alignment
ICCV 2025
Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap
ECCV 2024
Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners
CVPR 2024
Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation
ICML 2024
Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples
CVPR 2024
8 papers whose co-authors appear nowhere else under this name
Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation
AAAI 2025
Evolvable Conditional Diffusion
IJCAI 2025
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection
ICCV 2025
Make Me Happier: Evoking Emotions Through Image Diffusion Models
ICCV 2025
Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets
ICML 2025
Bayesian Federated Learning: A Survey
IJCAI 2023
Numerical Analysis near Singularities in RBF Networks
JMLR 2018
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression
ICML 2017