Yew-Soon Ong

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 301

Top Venues

CoRR

IEEE Comput. Intell. Mag.

IEEE Trans. Cybern.

IEEE Trans. Evol. Comput.

University of Southampton, UK (PHD)

Education History

University of Southampton, UK

PHD

Publications

Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Yew-Soon Ong
Learning in Sinusoidal Spaces With Physics-Informed Neural Networks. IEEE Trans. Artif. Intell. 5 (3) (2024)
Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong
A Simple Yet Effective Approach for Diversified Session-Based Recommendation. CoRR (2024)
Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong
Road Network Representation Learning with the Third Law of Geography. CoRR (2024)
Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong
Understanding Diversity in Session-based Recommendation. ACM Trans. Inf. Syst. 42 (1) (2024)
Shengcai Liu, Zhiyuan Wang, Yew-Soon Ong, Xin Yao, Ke Tang
Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization. CoRR (2024)
Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang
A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals. ACM Trans. Inf. Syst. 42 (1) (2024)
Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong
Large Language Models as Evolutionary Optimizers. CEC (2024)
Ke Pan, Yew-Soon Ong, Maoguo Gong, Hui Li, A. Kai Qin, Yuan Gao
Differential privacy in deep learning: A literature survey. Neurocomputing 589 (2024)
Lu Bai, Abhishek Gupta, Yew-Soon Ong
Multi-Task Learning with Multi-Task Optimization. CoRR (2024)
Xiao Sha, Zhu Sun, Jie Zhang, Yew-Soon Ong
Who Wants to Shop With You: Joint Product-Participant Recommendation for Group-Buying Service. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Linbo Luo, Shangwei Xie, Haiyan Yin, Chunlei Peng, Yew-Soon Ong
Detecting and Quantifying Crowd-Level Abnormal Behaviors in Crowd Events. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
Adaptive In-Context Learning with Large Language Models for Bundle Generation. SIGIR (2024)
Zefeng Chen, Abhishek Gupta, Lei Zhou, Yew-Soon Ong
Scaling Multiobjective Evolution to Large Data With Minions: A Bayes-Informed Multitask Approach. IEEE Trans. Cybern. 54 (2) (2024)
Ning Lu, Shengcai Liu, Rui He, Yew-Soon Ong, Qi Wang, Ke Tang
Large Language Models can be Guided to Evade AI-generated Text Detection. Trans. Mach. Learn. Res. 2024 (2024)
Heng Zhao, Joey Tianyi Zhou, Yew-Soon Ong
Word2Pix: Word to Pixel Cross-Attention Transformer in Visual Grounding. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Lanting Fang, Yulian Yang, Kai Wang, Shanshan Feng, Kaiyu Feng, Jie Gui, Shuliang Wang, Yew-Soon Ong
SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs. CoRR (2024)
Yaqing Hou, Mingyang Sun, Yifeng Zeng, Yew-Soon Ong, Yaochu Jin, Hongwei Ge, Qiang Zhang
A Multiagent Cooperative Learning System With Evolution of Social Roles. IEEE Trans. Evol. Comput. 28 (2) (2024)
Tiantian He, Yang Liu, Yew-Soon Ong, Xiaohu Wu, Xin Luo
Polarized message-passing in graph neural networks. Artif. Intell. 331 (2024)
Yaqing Hou, Wenqiang Ma, Abhishek Gupta, Kavitesh Kumar Bali, Hongwei Ge, Qiang Zhang, Carlos A. Coello Coello, Yew-Soon Ong
Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization. CoRR (2024)
Shanshan Feng, Haoming Lyu, Caishun Chen, Yew-Soon Ong
Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation. CoRR (2024)
Qingshan Xu, Jiao Liu, Melvin Wong, Caishun Chen, Yew-Soon Ong
Precise-Physics Driven Text-to-3D Generation. CoRR (2024)
Zhu Sun, Kaidong Feng, Jie Yang, Hui Fang, Xinghua Qu, Yew-Soon Ong, Wenyuan Liu
Revisiting Bundle Recommendation for Intent-aware Product Bundling. Trans. Recomm. Syst. 2 (3) (2024)
Ge Jin, Jian Cheng Wong, Abhishek Gupta, Shipeng Li, Yew-Soon Ong
Fourier warm start for physics-informed neural networks. Eng. Appl. Artif. Intell. 132 (2024)
Xinghua Qu, Abhishek Gupta, Yew-Soon Ong, Zhu Sun
Adversary Agnostic Robust Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Pengfei Wei, Yiping Ke, Yew-Soon Ong, Zejun Ma
Adaptive Transfer Kernel Learning for Transfer Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. IJCNN (2023)
Zhenkun Wang, Qingfu Zhang, Yew-Soon Ong, Shunyu Yao, Haitao Liu, Jianping Luo
Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization. IEEE Trans. Cybern. 53 (1) (2023)
Xuanfeng Li, Shengcai Liu, Jin Wang, Xiao Chen, Yew-Soon Ong, Ke Tang
Data-Driven Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications. CoRR (2023)
Hanqing Tao, Guanqi Zhu, Enhong Chen, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Yew-Soon Ong
Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Mojtaba Shakeri, Erfan Miahi, Abhishek Gupta, Yew-Soon Ong
Scalable Transfer Evolutionary Optimization: Coping With Big Task Instances. IEEE Trans. Cybern. 53 (10) (2023)
Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu
Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation. CoRR (2023)
Nicholas Sung, Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Yew-Soon Ong
Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results. GECCO Companion (2023)
Longbing Cao, Hui Chen, Xuhui Fan, Joao Gama, Yew-Soon Ong, Vipin Kumar
Bayesian Federated Learning: A Survey. CoRR (2023)
Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew-Soon Ong
Large Language Models for Intent-Driven Session Recommendations. CoRR (2023)
Zhendong Guo, Haitao Liu, Yew-Soon Ong, Xinghua Qu, Yuzhe Zhang, Jianmin Zheng
Generative Multiform Bayesian Optimization. IEEE Trans. Cybern. 53 (7) (2023)
Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. CoRR (2023)
Wenjie Chen, Shengcai Liu, Yew-Soon Ong, Ke Tang
Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization. CoRR (2023)
Melvin Wong, Yew-Soon Ong, Abhishek Gupta, Kavitesh Kumar Bali, Caishun Chen
Prompt Evolution for Generative AI: A Classifier-Guided Approach. CoRR (2023)
Han Xiang Choong, Yew-Soon Ong, Abhishek Gupta, Caishun Chen, Ray Lim
Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained Models. IEEE Comput. Intell. Mag. 18 (3) (2023)
Maoguo Gong, Yuan Gao, Yue Wu, Yuanqiao Zhang, Alex Kai Qin, Yew-Soon Ong
Heterogeneous Multi-Party Learning With Data-Driven Network Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong
Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems. IEEE Trans. Artif. Intell. 4 (1) (2023)
Bohao Qu, Xiaofeng Cao, Jielong Yang, Hechang Chen, Chang Yi, Ivor W. Tsang, Yew-Soon Ong
Policy Dispersion in Non-Markovian Environment. CoRR (2023)
Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong
Large Language Models as Evolutionary Optimizers. CoRR (2023)
Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong
Meta-learning enhanced next POI recommendation by leveraging check-ins from auxiliary cities. CoRR (2023)
Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Jiahao Xie, Wei Li, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, Chen Change Loy
Masked Frequency Modeling for Self-Supervised Visual Pre-Training. ICLR (2023)
Yu Xie, Yanfeng Liang, Maoguo Gong, A. Kai Qin, Yew-Soon Ong, Tiantian He
Semisupervised Graph Neural Networks for Graph Classification. IEEE Trans. Cybern. 53 (10) (2023)
Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew-Soon Ong, Chongjun Wang, Xiaofeng Tao
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. CoRR (2023)
Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. ICDE (2023)
Junwei Dong, Boyu Hou, Liang Feng, Huajin Tang, Kay Chen Tan, Yew-Soon Ong
A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Linbo Luo, Xinyu Wang, Jianfeng Ma, Yew-Soon Ong
GrpAvoid: Multigroup Collision-Avoidance Control and Optimization for UAV Swarm. IEEE Trans. Cybern. 53 (3) (2023)
Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong
Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article]. IEEE Comput. Intell. Mag. 18 (2) (2023)
Xiaobo Shen, Yew-Soon Ong, Zheng Mao, Shirui Pan, Weiwei Liu, Yuhui Zheng
Compact network embedding for fast node classification. Pattern Recognit. 136 (2023)
Jianyao Xu, Qingshan Xu, Xinyao Liao, Wanjuan Su, Chen Zhang, Yew-Soon Ong, Wenbing Tao
PR-NeuS: A Prior-based Residual Learning Paradigm for Fast Multi-view Neural Surface Reconstruction. CoRR (2023)
Haitao Liu, Kai Wu, Yew-Soon Ong, Chao Bian, Xiaomo Jiang, Xiaofang Wang
Learning Multitask Gaussian Process Over Heterogeneous Input Domains. IEEE Trans. Syst. Man Cybern. Syst. 53 (10) (2023)
Jiao Liu, Abhishek Gupta, Yew-Soon Ong
Inverse Transfer Multiobjective Optimization. CoRR (2023)
Yuan Gao, Yew-Soon Ong, Maoguo Gong, Fenlong Jiang, Yuanqiao Zhang, Shanfeng Wang
Breaking Hardware Boundaries of IoT Devices via Inverse Feature Completion. IEEE Internet Things J. 10 (6, March 15) (2023)
Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong
Multitask Neuroevolution for Reinforcement Learning With Long and Short Episodes. IEEE Trans. Cogn. Dev. Syst. 15 (3) (2023)
Yuan Gao, Maoguo Gong, Yu Xie, A. Kai Qin, Ke Pan, Yew-Soon Ong
Multiparty Dual Learning. IEEE Trans. Cybern. 53 (5) (2023)
Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Joshua Shao Zheng Low, My Ha Dao, Yew-Soon Ong
Generalizable Neural Physics Solvers by Baldwinian Evolution. CoRR (2023)
Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong
Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities. PAKDD (3) (2023)
Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong
Evolutionary Machine Learning With Minions: A Case Study in Feature Selection. IEEE Trans. Evol. Comput. 26 (1) (2022)
Zhendong Guo, Yew-Soon Ong, Tiantian He, Haitao Liu
Co-Learning Bayesian Optimization. IEEE Trans. Cybern. 52 (9) (2022)
Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong
Lean Evolutionary Reinforcement Learning by Multitasking with Importance Sampling. CoRR (2022)
Alvin Chan, Lei Ma, Felix Juefei-Xu, Yew-Soon Ong, Xiaofei Xie, Minhui Xue, Yang Liu
Breaking Neural Reasoning Architectures With Metamorphic Relation-Based Adversarial Examples. IEEE Trans. Neural Networks Learn. Syst. 33 (11) (2022)
Tiantian He, Haicang Zhou, Yew-Soon Ong, Gao Cong
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning. CoRR (2022)
Nicholas Sung Wei Yong, Jian Cheng Wong, Pao-Hsiung Chiu, Abhishek Gupta, Chinchun Ooi, Yew-Soon Ong
JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results. CoRR (2022)
Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. CoRR (2022)
Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong
Understanding Diversity in Session-Based Recommendation. CoRR (2022)
Abhishek Gupta, Yew-Soon Ong, Kenneth A. De Jong, Mengjie Zhang
Guest Editorial Special Issue on Multitask Evolutionary Computation. IEEE Trans. Evol. Comput. 26 (2) (2022)
Tiantian He, Lu Bai, Yew-Soon Ong
Vicinal Vertex Allocation for Matrix Factorization in Networks. IEEE Trans. Cybern. 52 (8) (2022)
Liang Feng, Yuxiao Huang, Ivor W. Tsang, Abhishek Gupta, Ke Tang, Kay Chen Tan, Yew-Soon Ong
Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation. IEEE Trans. Intell. Transp. Syst. 23 (2) (2022)
Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. CoRR (2022)
Haitao Liu, Yew-Soon Ong, Ziwei Yu, Jianfei Cai, Xiaobo Shen
Scalable Gaussian Process Classification With Additive Noise for Non-Gaussian Likelihoods. IEEE Trans. Cybern. 52 (7) (2022)
Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, Chen Change Loy
Delving into Inter-Image Invariance for Unsupervised Visual Representations. Int. J. Comput. Vis. 130 (12) (2022)
Qiancheng Fu, Qingshan Xu, Yew-Soon Ong, Wenbing Tao
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction. CoRR (2022)
Han Xiang Choong, Yew-Soon Ong, Abhishek Gupta, Ray Lim
Jack and Masters of All Trades: One-Pass Learning of a Set of Model Sets from Foundation Models. CoRR (2022)
Alvin Chan, Yew-Soon Ong, Clement Tan
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? CoRR (2022)
Gexiang Zhang, Xihai Zhang, Haina Rong, Prithwineel Paul, Ming Zhu, Ferrante Neri, Yew-Soon Ong
A Layered Spiking Neural System for Classification Problems. Int. J. Neural Syst. 32 (8) (2022)
Mingyu Xu, Yongjin Zheng, Yew-Soon Ong, Zexuan Zhu, Xiaoliang Ma
A multifactorial differential evolution with hybrid global and local search strategies. CEC (2022)
Haitao Liu, Kai Wu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains. CoRR (2022)
Abhishek Gupta, Lei Zhou, Yew-Soon Ong, Zefeng Chen, Yaqing Hou
Half a Dozen Real-World Applications of Evolutionary Multitasking, and More. IEEE Comput. Intell. Mag. 17 (2) (2022)
Ray Lim, Abhishek Gupta, Yew-Soon Ong
An Initial Investigation of Data-Lean Transfer Evolutionary Optimization with Probabilistic Priors. CEC (2022)
Lu Bai, Wu Lin, Abhishek Gupta, Yew-Soon Ong
From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence. IEEE Trans. Cybern. 52 (8) (2022)
Sijia Zhang, Maoguo Gong, Yu Xie, A. Kai Qin, Hao Li, Yuan Gao, Yew-Soon Ong
Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos. IEEE Trans. Circuits Syst. Video Technol. 32 (8) (2022)
Jiawei Yuan, Hai-Lin Liu, Yew-Soon Ong, Zhaoshui He
Indicator-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 26 (2) (2022)
Xinghua Qu, Yew-Soon Ong, Abhishek Gupta
Frame-Correlation Transfers Trigger Economical Attacks on Deep Reinforcement Learning Policies. IEEE Trans. Cybern. 52 (8) (2022)
Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges. CoRR (2022)
Suryadi, Yew-Soon Ong, Lock Yue Chew
Jacobian Granger Causal Neural Networks for Analysis of Stationary and Nonstationary Data. CoRR (2022)
Abhishek Gupta, Ray Lim, Chin Chun Ooi, Yew-Soon Ong
Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates. SSCI (2022)
Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang
A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals. CoRR (2022)
Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong
Easy-But-Effective Domain Sub-Similarity Learning for Transfer Regression. IEEE Trans. Knowl. Data Eng. 34 (9) (2022)
Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang
Deep Latent-Variable Kernel Learning. IEEE Trans. Cybern. 52 (10) (2022)
Liang Feng, Wei Zhou, Weichen Liu, Yew-Soon Ong, Kay Chen Tan
Solving Dynamic Multiobjective Problem via Autoencoding Evolutionary Search. IEEE Trans. Cybern. 52 (5) (2022)
Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang
Modulating scalable Gaussian processes for expressive statistical learning. Pattern Recognit. 120 (2021)
Maoguo Gong, Yuan Gao, Yu Xie, A. Kai Qin, Ke Pan, Yew-Soon Ong
Multi-Party Dual Learning. CoRR (2021)
Alvin Chan, Anna Korsakova, Yew-Soon Ong, Fernaldo Richtia Winnerdy, Kah Wai Lim, Anh Tuan Phan
RNA Alternative Splicing Prediction with Discrete Compositional Energy Network. CoRR (2021)
Haitao Liu, Yew-Soon Ong, Jianfei Cai
Large-Scale Heteroscedastic Regression via Gaussian Process. IEEE Trans. Neural Networks Learn. Syst. 32 (2) (2021)
Heng Zhao, Joey Tianyi Zhou, Yew-Soon Ong
Word2Pix: Word to Pixel Cross Attention Transformer in Visual Grounding. CoRR (2021)
Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, Chen Change Loy
Unsupervised Object-Level Representation Learning from Scene Images. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yew-Soon Ong