Yew-Soon Ong

36 papers · 2017–2026 · 10 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🏃 Academic Marathon (8) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🐣 Hot Topic Early Bird

🌍 Conference Polyglot (10) 🏃 Academic Marathon (8) 🐣 Hot Topic Early Bird 🏆 Grand Slam 🗃️ Keyword Collector (143) 💎 Century Club (33) 📈 Trend Setter ⚡ Prolific Year (8)

Conferences

ICML (7) CVPR (5) IJCAI (5) AAAI (4) ICCV (4) EMNLP (3) ICLR (3) NIPS (3) ECCV (1) JMLR (1)

Top co-authors

Junhao Dong (6) Piotr Koniusz (5) Weiming Liu (4) Ivor Tsang (3) Yew Soon Ong (3) Xinghua Qu (3) Junxi Chen (3) Tiantian He (3) Alvin Chan (3) Hao Zhu (2)

Research topics

Privacy (1)

Keywords

adversarial robustness (5) knowledge distillation (4) vision-language model (3) large language model (3) model compression (2) transfer learning (2) federated learning (2) video understanding (2) contrastive learning (1) multi-task learning (1) representation learning (1) feature learning (1) adversarial learning (1) few-shot learning (1) metric learning (1) dimensionality reduction (1) sequential decision-making (1) online learning (1) black-box optimization (1) zero-shot learning (1)

Papers

NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos AAAI 2026 Pushing Rendering Boundaries: Hard Gaussian Splatting AAAI 2026 Scale-Net: A Hierarchical U-Net Framework for Cross-Scale Generalization in Multi-Task Vehicle Routing AAAI 2026 Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning ICML 2025 Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices ICML 2025 A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver ICML 2025 Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets ICML 2025 Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis CVPR 2025 Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation AAAI 2025 CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching EMNLP 2025 Confound from All Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness ICCV 2025 Make Me Happier: Evoking Emotions Through Image Diffusion Models ICCV 2025 Robustifying Zero-Shot Vision Language Models by Subspaces Alignment ICCV 2025 Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection ICCV 2025 Evolvable Conditional Diffusion IJCAI 2025 Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey IJCAI 2025 Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation ICLR 2025 Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity ICML 2025 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 Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners CVPR 2024 Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples CVPR 2024 Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap ECCV 2024 Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding EMNLP 2024 Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation ICML 2024 Bayesian Federated Learning: A Survey IJCAI 2023 Masked Frequency Modeling for Self-Supervised Visual Pre-Training ICLR 2023 CoCon: A Self-Supervised Approach for Controlled Text Generation ICLR 2021 What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients CVPR 2020 Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder EMNLP 2020 Online Deep Clustering for Unsupervised Representation Learning CVPR 2020 Numerical Analysis near Singularities in RBF Networks JMLR 2018 Discrete Network Embedding IJCAI 2018 Deep Discrete Prototype Multilabel Learning IJCAI 2018 Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression ICML 2017