Yew-Soon Ong

9 papers in the IJCAI proceedings

IJCAI 2026

Amortized Multi-Objective Optimization Across Tasks with Generative Solution Modeling

with Tingyang Wei, Jiao Liu, Abhishek Gupta, Chin Chun Ooi, Puay Siew Tan

doi:10.24963/ijcai.2026/708

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Learning with Foresight: Enhancing Neural Routing Policy via Multi-Node Lookahead Prediction

with Xia Jiang, Yaoxin Wu, Yingqian Zhang

doi:10.24963/ijcai.2026/686

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IJCAI 2025

Evolvable Conditional Diffusion

with Zhao Wei, Chin Chun Ooi, Abhishek Gupta, Jian Cheng Wong, Pao-Hsiung Chiu, Sheares Xue Wen Toh

doi:10.24963/ijcai.2025/728

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Grounding Open-Domain Knowledge from LLMs to Real-World Reinforcement Learning Tasks: A Survey

with Haiyan Yin, Hangwei Qian, Yaxin Shi, Ivor Tsang

doi:10.24963/ijcai.2025/1198

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IJCAI 2023

Bayesian Federated Learning: A Survey

with Longbing Cao, Hui Chen, Xuhui Fan, Joao Gama, Vipin Kumar

doi:10.24963/ijcai.2023/851

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IJCAI 2022

How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations?

with Alvin Chan, Clement Tan

doi:10.24963/ijcai.2022/93

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Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences

with Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Xinghua Qu

doi:10.24963/ijcai.2022/521

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IJCAI 2018

Deep Discrete Prototype Multilabel Learning

with Xiaobo Shen, Weiwei Liu, Yong Luo, Ivor W. Tsang

doi:10.24963/ijcai.2018/371

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Discrete Network Embedding

with Xiaobo Shen, Shirui Pan, Weiwei Liu, Quan-Sen Sun

doi:10.24963/ijcai.2018/493

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Future Conferences

AI Journal Division

IJCAI Proceedings