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Yew-Soon Ong

Nanyang Technological University, Singapore

58 papers at tracked venues · 39 at CORE A* · active 2024–2026

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Venues

AAAI ×7GECCO ×7NeurIPS ×7ICML ×6ICCV ×4SIGKDD ×4CVPR ×3SIGIR ×3ACM MM ×2ECCV ×2EMNLP ×2IJCAI ×2PPSN ×2WWW ×2AAMAS ×1ECML-PKDD ×1ICDM ×1ICLR ×1RecSys ×1

Frequent coauthors

Junhao Dong
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Qingshan Xu
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Weiming Liu
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Heng Zhao
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Liam Wigney
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Suyu Liu
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Hua Yu
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Youchen Sun
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Mengmeng Chen
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Zhu Sun
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Haoran Yin
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Hongxu Wang
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Papers

  1. Agentic Spatio-Temporal Grounding via Collaborative Reasoning
    SIGIR 2026 ·
    Heng Zhao
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  2. Insights from Multi-tasking the EAX Algorithm for the Travelling Salesperson Problem
    PPSN 2026 ·
    Liam Wigney
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  3. Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization
    GECCO 2026 ·
    Haoran Yin
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  4. NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos
    AAAI 2026 ·
    Qingshan Xu
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  5. Orthogonal Meta-learning Boosted Bayesian Optimization for Uncertain Multi-Objective Recommendation
    WWW 2026 ·
    Hongxu Wang
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  6. Pushing Rendering Boundaries: Hard Gaussian Splatting
    AAAI 2026 ·
    Qingshan Xu
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  7. QD-LLMs: Quality-Diversity Optimization with LLMs for Generative Design Exploration
    GECCO 2026 ·
    Ariq Koh
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  8. Scale-Net: A Hierarchical U-Net Framework for Cross-Scale Generalization in Multi-Task Vehicle Routing
    AAAI 2026 ·
    Suyu Liu
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  9. A Mixed-Curvature based Pre-training Paradigm for Multi-Task Vehicle Routing Solver
    ICML 2025 ·
    Suyu Liu
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  10. Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation
    AAAI 2025 ·
    Yingpeng Du
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  11. Augmented Decision Spaces for Stackelberg Security Games: Sparse evolution begets scalability
    GECCO 2025 ·
    Adam Zychowski
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  12. CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching
    EMNLP 2025 ·
    Cheng Shen
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  13. Confound from all Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness
    ICCV 2025 ·
    Junhao Dong
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  14. Crowd Dynamics Demand Adaptivity: Self-Adaptive Physics-Informed Neural Network for Crowd Simulation
    ACM MM 2025 ·
    Ziying Tan
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  15. Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis
    CVPR 2025 ·
    Hua Yu
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  16. Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity
    ICML 2025 ·
    Zhenglin Wan
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  17. Evolvable Conditional Diffusion
    IJCAI 2025 ·
    Zhao Wei
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  18. Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation
    ICLR 2025 ·
    Kim Yong Tan
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  19. FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF
    AAMAS 2025 ·
    Flint Xiaofeng Fan
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  20. Fine-Grained Abnormality Prompt Learning for Zero-Shot Anomaly Detection
    ICCV 2025 ·
    Jiawen Zhu
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  21. Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey
    IJCAI 2025 ·
    Haiyan Yin
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  22. Hot off the Press: Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization
    GECCO 2025 ·
    Jiao Liu
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  23. Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices
    ICML 2025 ·
    Junhao Dong
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  24. InstructFlow: Adaptive Symbolic Constraint-Guided Code Generation for Long-Horizon Planning
    NeurIPS 2025 ·
    Haotian Chi
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  25. Machine Unlearning via Task Simplex Arithmetic
    NeurIPS 2025 ·
    Junhao Dong
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  26. Make Me Happier: Evoking Emotions through Image Diffusion Models
    ICCV 2025 ·
    Qing Lin
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  27. Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation
    WWW 2025 ·
    Youchen Sun
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  28. On the Use of Matching Algorithms to Transfer Solutions for the Travelling Salesperson Problem
    GECCO 2025 ·
    Liam Wigney
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  29. Quality Diversity Genetic Programming for Learning Scheduling Heuristics
    GECCO 2025 ·
    Meng Xu
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  30. Robust SuperAlignment: Weak-to-Strong Robustness Generalization for Vision-Language Models
    NeurIPS 2025 ·
    Junhao Dong
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  31. Robustifying Zero-Shot Vision Language Models by Subspaces Alignment
    ICCV 2025 ·
    Junhao Dong
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  32. Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets
    ICML 2025 ·
    Ning Lu
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  33. SiamNAS: Siamese Surrogate Model for Dominance Relation Prediction in Multi-objective Neural Architecture Search
    GECCO 2025 ·
    Yuyang Zhou
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  34. Solving Discrete (Semi) Unbalanced Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization
    NeurIPS 2025 ·
    Weiming Liu
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  35. Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs
    SIGKDD 2025 ·
    Junhao Dong
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  36. Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals
    ICDM 2025 ·
    Li Rong Wang
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  37. Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning
    ICML 2025 ·
    Mengmeng Chen
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  38. Adaptive In-Context Learning with Large Language Models for Bundle Generation
    SIGIR 2024 ·
    Zhu Sun
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  39. Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap
    ECCV 2024 ·
    Junhao Dong
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  40. Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners
    CVPR 2024 ·
    Junhao Dong
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  41. Bayesian Forward-Inverse Transfer for Multiobjective Optimization
    PPSN 2024 ·
    Tingyang Wei
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  42. Diffusion Model in Normal Gathering Latent Space for Time Series Anomaly Detection
    ECML-PKDD 2024 ·
    Jiashu Han
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  43. FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting
    SIGKDD 2024 ·
    Xinyu Zhang
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  44. FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants
    AAAI 2024 ·
    Shanli Tan
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  45. Few-Shot NeRF by Adaptive Rendering Loss Regularization
    ECCV 2024 ·
    Qingshan Xu
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  46. Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
    NeurIPS 2024 ·
    Mengmeng Chen
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  47. Large Language Models for Intent-Driven Session Recommendations
    SIGIR 2024 ·
    Zhu Sun
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  48. Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation
    AAAI 2024 ·
    Weiming Liu
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  49. PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation
    AAAI 2024 ·
    Siyuan Hu
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  50. ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI Recommendation
    SIGKDD 2024 ·
    Shanshan Feng
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  51. Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation
    ICML 2024 ·
    Weiming Liu
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  52. Road Network Representation Learning with the Third Law of Geography
    NeurIPS 2024 ·
    Haicang Zhou
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  53. Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples
    CVPR 2024 ·
    Junhao Dong
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  54. Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation
    SIGKDD 2024 ·
    Youchen Sun
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  55. Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis
    ACM MM 2024 ·
    Hua Yu
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  56. Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
    NeurIPS 2024 ·
    Xuanqian Wang
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  57. Unified Denoising Training for Recommendation
    RecSys 2024 ·
    Haoyan Chua
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  58. Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding
    EMNLP 2024 ·
    Heng Zhao
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