Ong, Yew Soon

54 publications

ICML 2025 A Mixed-Curvature Based Pre-Training Paradigm for Multi-Task Vehicle Routing Solver Suyu Liu, Zhiguang Cao, Shanshan Feng, Yew-Soon Ong

AAAI 2025 Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong

ICCV 2025 Confound from All Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness Junhao Dong, Jiao Liu, Xinghua Qu, Yew-Soon Ong

CVPR 2025 Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis Yu Hua, Weiming Liu, Gui Xu, Yaqing Hou, Yew-Soon Ong, Qiang Zhang

ICML 2025 Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Yew-Soon Ong, Ivor Tsang

IJCAI 2025 Evolvable Conditional Diffusion Zhao Wei, Chin Chun Ooi, Abhishek Gupta, Jian Cheng Wong, Pao-Hsiung Chiu, Sheares Xue Wen Toh, Yew-Soon Ong

ICLR 2025 Fast Direct: Query-Efficient Online Black-Box Guidance for Diffusion-Model Target Generation Kim Yong Tan, Yueming Lyu, Ivor Tsang, Yew-Soon Ong

ICCV 2025 Fine-Grained Abnormality Prompt Learning for Zero-Shot Anomaly Detection Jiawen Zhu, Yew-Soon Ong, Chunhua Shen, Guansong Pang

IJCAI 2025 Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey Haiyan Yin, Hangwei Qian, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong

ICML 2025 Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-Form Alignment of Adversarial Path Simplices Junhao Dong, Piotr Koniusz, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong

NeurIPS 2025 InstructFlow: Adaptive Symbolic Constraint-Guided Code Generation for Long-Horizon Planning Haotian Chi, Zeyu Feng, Yueming Lyu, Chengqi Zheng, Linbo Luo, Yew-Soon Ong, Ivor Tsang, Hechang Chen, Yi Chang, Haiyan Yin

ICLRW 2025 LLMV-AgE: Verifying LLM-Guided Planning for Agentic Exploration in Open-World RL Haotian Chi, Songwei Zhao, Ivor Tsang, Yew-Soon Ong, Hechang Chen, Yi Chang, Haiyan Yin

NeurIPS 2025 Machine Unlearning via Task Simplex Arithmetic Junhao Dong, Hao Zhu, Yifei Zhang, Xinghua Qu, Yew-Soon Ong, Piotr Koniusz

ICCV 2025 Make Me Happier: Evoking Emotions Through Image Diffusion Models Qing Lin, Jingfeng Zhang, Yew-Soon Ong, Mengmi Zhang

NeurIPS 2025 Robust SuperAlignment: Weak-to-Strong Robustness Generalization for Vision-Language Models Junhao Dong, Cong Zhang, Xinghua Qu, Zejun Ma, Piotr Koniusz, Yew-Soon Ong

ICCV 2025 Robustifying Zero-Shot Vision Language Models by Subspaces Alignment Junhao Dong, Piotr Koniusz, Liaoyuan Feng, Yifei Zhang, Hao Zhu, Weiming Liu, Xinghua Qu, Yew-Soon Ong

ICML 2025 Safe Delta: Consistently Preserving Safety When Fine-Tuning LLMs on Diverse Datasets Ning Lu, Shengcai Liu, Jiahao Wu, Weiyu Chen, Zhirui Zhang, Yew-Soon Ong, Qi Wang, Ke Tang

MLJ 2025 Sandbox: Safeguarded Multi-Label Learning Through Safe Optimal Transport Lefei Zhang, Geng Yu, Jiangchao Yao, Yew-Soon Ong, Ivor W. Tsang, James T. Kwok

NeurIPS 2025 Solving Discrete (Semi) Unbalanced Optimal Transport with Equivalent Transformation Mechanism and KKT-Multiplier Regularization Weiming Liu, Xinting Liao, Jun Dan, Fan Wang, Hua Yu, Junhao Dong, Shunjie Dong, Lianyong Qi, Yew-Soon Ong

ICML 2025 Voronoi-Grid-Based Pareto Front Learning and Its Application to Collaborative Federated Learning Mengmeng Chen, Xiaohu Wu, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao, Han Yu

ECCV 2024 Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap Junhao Dong, Piotr Koniusz, Junxi Chen, Yew-Soon Ong

CVPR 2024 Adversarially Robust Few-Shot Learning via Parameter Co-Distillation of Similarity and Class Concept Learners Junhao Dong, Piotr Koniusz, Junxi Chen, Xiaohua Xie, Yew-Soon Ong

ECML-PKDD 2024 Diffusion Model in Normal Gathering Latent Space for Time Series Anomaly Detection Jiashu Han, Shanshan Feng, Min Zhou, Xinyu Zhang, Yew Soon Ong, Xutao Li

AAAI 2024 FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao

ECCV 2024 Few-Shot NeRF by Adaptive Rendering Loss Regularization Qingshan Xu, Xuanyu Yi, Jianyao Xu, Wenbing Tao, Yew Soon Ong, Hanwang Zhang

NeurIPS 2024 Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu

TMLR 2024 Large Language Models Can Be Guided to Evade AI-Generated Text Detection Ning Lu, Shengcai Liu, Rui He, Yew-Soon Ong, Qi Wang, Ke Tang

AAAI 2024 Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan, Fan Wang, Xiaolin Zheng, Yew Soon Ong

AAAI 2024 PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation Siyuan Hu, Zheng Wang, Peng Hu, Xi Peng, Jie Wu, Hongyuan Zhu, Yew Soon Ong

ICML 2024 Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Yanchao Tan, Yew-Soon Ong

NeurIPS 2024 Road Network Representation Learning with the Third Law of Geography Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong

CVPR 2024 Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples Junhao Dong, Piotr Koniusz, Junxi Chen, Z. Jane Wang, Yew-Soon Ong

NeurIPS 2024 Towards Harmless Rawlsian Fairness Regardless of Demographic Prior Xuanqian Wang, Jing Li, Ivor W. Tsang, Yew-Soon Ong

ICMLW 2023 How to Select Physics-Informed Neural Networks in the Absence of Ground Truth: A Pareto Front-Based Strategy Zhao Wei, Jian Cheng Wong, Nicholas Wei Yong Sung, Abhishek Gupta, Chin Chun Ooi, Pao-Hsiung Chiu, My Ha Dao, Yew-Soon Ong

ICLR 2023 Masked Frequency Modeling for Self-Supervised Visual Pre-Training Jiahao Xie, Wei Li, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, Chen Change Loy

NeurIPS 2022 Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-View Reconstruction Qiancheng Fu, Qingshan Xu, Yew Soon Ong, Wenbing Tao

IJCAI 2022 How Does Frequency Bias Affect the Robustness of Neural Image Classifiers Against Common Corruption and Adversarial Perturbations? Alvin Chan, Yew Soon Ong, Clement Tan

IJCAI 2022 Next Point-of-Interest Recommendation with Inferring Multi-Step Future Preferences Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu

ICLR 2021 CoCon: A Self-Supervised Approach for Controlled Text Generation Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu

NeurIPS 2021 Learning Conjoint Attentions for Graph Neural Nets Tiantian He, Yew Soon Ong, L Bai

NeurIPS 2021 Unsupervised Object-Level Representation Learning from Scene Images Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy

AAAI 2020 A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification Under Label Latency Scenario Monidipa Das, Mahardhika Pratama, Jie Zhang, Yew-Soon Ong

ICLR 2020 Jacobian Adversarially Regularized Networks for Robustness Alvin Chan, Yi Tay, Yew Soon Ong, Jie Fu

ICLR 2020 Metagross: Meta Gated Recursive Controller Units for Sequence Modeling Yi Tay, Yikang Shen, Alvin Chan, Yew Soon Ong

AAAI 2018 Compact Multi-Label Learning Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong

IJCAI 2018 Deep Discrete Prototype Multilabel Learning Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor W. Tsang

IJCAI 2018 Discrete Network Embedding Xiaobo Shen, Shirui Pan, Weiwei Liu, Yew-Soon Ong, Quan-Sen Sun

ICML 2018 Generalized Robust Bayesian Committee Machine for Large-Scale Gaussian Process Regression Haitao Liu, Jianfei Cai, Yi Wang, Yew Soon Ong

JMLR 2018 Numerical Analysis near Singularities in RBF Networks Weili Guo, Haikun Wei, Yew-Soon Ong, Jaime Rubio Hervas, Junsheng Zhao, Hai Wang, Kanjian Zhang

CVPR 2017 MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information Hao Yang, Joey Tianyi Zhou, Jianfei Cai, Yew Soon Ong

ICML 2017 Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression Pengfei Wei, Ramon Sagarna, Yiping Ke, Yew-Soon Ong, Chi-Keong Goh

AAAI 2015 An Adaptive Gradient Method for Online AUC Maximization Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong

ICML 2012 Discovering Support and Affiliated Features from Very High Dimensions Yiteng Zhai, Mingkui Tan, Ivor W. Tsang, Yew-Soon Ong

ECML-PKDD 2010 Predictive Distribution Matching SVM for Multi-Domain Learning Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong, Gary Kee Khoon Lee