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ORCIDYew-Soon Ong
Yew Soon Ong
Person information
- affiliation: Nanyang Technological University, Singapore
- affiliation (PhD 2003): University of Southampton, UK
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2020 – today
- 2024
[j229]Tiantian He
, Yang Liu, Yew-Soon Ong, Xiaohu Wu, Xin Luo:
Polarized message-passing in graph neural networks. Artif. Intell. 331: 104129 (2024)- [j228]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: 107887 (2024) - [j227]Ke Pan, Yew-Soon Ong, Maoguo Gong, Hui Li, A. Kai Qin, Yuan Gao:
Differential privacy in deep learning: A literature survey. Neurocomputing 589: 127663 (2024) - [j226]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): 985-1000 (2024) - [j225]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): 1294-1307 (2024) - [j224]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): 531-543 (2024) - [j223]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: 6810-6823 (2024) - [j222]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) - [j221]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): 1523-1533 (2024) - [j220]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): 2353-2363 (2024) - [j219]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): 15:1-15:28 (2024) - [j218]Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong:
Understanding Diversity in Session-based Recommendation. ACM Trans. Inf. Syst. 42(1): 24:1-24:34 (2024) - [j217]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): 24:1-24:34 (2024) - [c164]Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan, Fan Wang, Xiaolin Zheng, Yew Soon Ong:
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. AAAI 2024: 8815-8823 - [c163]Siyuan Hu, Zheng Wang, Peng Hu, Xi Peng, Jie Wu, Hongyuan Zhu, Yew Soon Ong:
PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation. AAAI 2024: 12538-12546 - [c162]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. AAAI 2024: 15231-15239 - [c161]Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong:
Large Language Models as Evolutionary Optimizers. CEC 2024: 1-8 - [c160]Jiao Liu, Yew Soon Ong, Melvin Wong:
Finding Sets of Pareto Sets in Real-World Scenarios - A Multitask Multiobjective Perspective. CEC 2024: 1-8 - [c159]Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong:
Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models. CEC 2024: 1-8 - [c158]Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew Soon Ong:
Large Language Models for Intent-Driven Session Recommendations. SIGIR 2024: 324-334 - [c157]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: 966-976 - [i93]Ziqi Yin, Shanshan Feng, Shang Liu, Gao Cong, Yew Soon Ong, Bin Cui:
LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries. CoRR abs/2403.07331 (2024) - [i92]Qing Lin, Jingfeng Zhang, Yew Soon Ong, Mengmi Zhang:
Make Me Happier: Evoking Emotions Through Image Diffusion Models. CoRR abs/2403.08255 (2024) - [i91]Qingshan Xu, Jiao Liu, Melvin Wong, Caishun Chen, Yew-Soon Ong:
Precise-Physics Driven Text-to-3D Generation. CoRR abs/2403.12438 (2024) - [i90]Lu Bai, Abhishek Gupta, Yew-Soon Ong:
Multi-Task Learning with Multi-Task Optimization. CoRR abs/2403.16162 (2024) - [i89]Fan Li, Shanshan Feng, Yuqi Yan, Ching-Hung Lee, Yew Soon Ong:
Virtual Co-Pilot: Multimodal Large Language Model-enabled Quick-access Procedures for Single Pilot Operations. CoRR abs/2403.16645 (2024) - [i88]Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong:
A Simple Yet Effective Approach for Diversified Session-Based Recommendation. CoRR abs/2404.00261 (2024) - [i87]Shanshan Feng, Haoming Lyu, Caishun Chen, Yew-Soon Ong:
Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation. CoRR abs/2404.01855 (2024) - [i86]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 abs/2404.13377 (2024) - [i85]Gaoxia Zhu, Vidya Sudarshan, Jason Fok Kow, Yew Soon Ong:
Human-Generative AI Collaborative Problem Solving Who Leads and How Students Perceive the Interactions. CoRR abs/2405.13048 (2024) - [i84]Shengcai Liu, Zhiyuan Wang, Yew-Soon Ong, Xin Yao, Ke Tang:
Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization. CoRR abs/2405.18884 (2024) - [i83]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 abs/2405.19062 (2024) - [i82]Yueming Lyu, Kim Yong Tan, Yew Soon Ong, Ivor W. Tsang:
Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation. CoRR abs/2406.00812 (2024) - [i81]Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong:
Road Network Representation Learning with the Third Law of Geography. CoRR abs/2406.04038 (2024) - [i80]Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong:
Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model. CoRR abs/2406.09143 (2024) - [i79]Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew Soon Ong:
LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking. CoRR abs/2406.14917 (2024) - 2023
- [j216]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): 60-77 (2023) - [j215]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): 29-40 (2023) - [j214]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): 5519-5529 (2023) - [j213]Pengfei Wei, Thanh Vinh Vo, Xinghua Qu, Yew Soon Ong, Zejun Ma:
Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3862-3876 (2023) - [j212]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): 7142-7156 (2023) - [j211]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): 8206-8226 (2023) - [j210]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): 13328-13343 (2023) - [j209]Xiaobo Shen, Yew-Soon Ong, Zheng Mao, Shirui Pan, Weiwei Liu, Yuhui Zheng:
Compact network embedding for fast node classification. Pattern Recognit. 136: 109236 (2023) - [j208]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): 107-120 (2023) - [j207]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): 1474-1486 (2023) - [j206]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): 483-496 (2023) - [j205]Linbo Luo, Xinyu Wang, Jianfeng Ma, Yew-Soon Ong:
GrpAvoid: Multigroup Collision-Avoidance Control and Optimization for UAV Swarm. IEEE Trans. Cybern. 53(3): 1776-1789 (2023) - [j204]Yuan Gao, Maoguo Gong, Yu Xie, A. Kai Qin, Ke Pan, Yew-Soon Ong:
Multiparty Dual Learning. IEEE Trans. Cybern. 53(5): 2955-2968 (2023) - [j203]Zhendong Guo, Haitao Liu, Yew-Soon Ong, Xinghua Qu, Yuzhe Zhang, Jianmin Zheng:
Generative Multiform Bayesian Optimization. IEEE Trans. Cybern. 53(7): 4347-4360 (2023) - [j202]Mojtaba Shakeri, Erfan Miahi, Abhishek Gupta, Yew-Soon Ong:
Scalable Transfer Evolutionary Optimization: Coping With Big Task Instances. IEEE Trans. Cybern. 53(10): 6160-6172 (2023) - [j201]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): 6222-6235 (2023) - [j200]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): 6043-6057 (2023) - [j199]Xinghua Qu, Abhishek Gupta, Yew-Soon Ong, Zhu Sun:
Adversary Agnostic Robust Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6146-6157 (2023) - [j198]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): 9040-9053 (2023) - [j197]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): 6232-6244 (2023) - [c156]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: 2144-2151 - [c155]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: 1260-1272 - [c154]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 - [c153]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: 1-10 - [c152]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: 322-334 - [c151]Youchen Sun, Zhu Sun, Xiao Sha, Jie Zhang, Yew Soon Ong:
Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction. RecSys 2023: 613-624 - [c150]Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma:
Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects. SIGIR 2023: 2701-2711 - [i78]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 abs/2302.01518 (2023) - [i77]Kim Yong Tan, Yueming Lyu, Yew Soon Ong, Ivor W. Tsang:
Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search. CoRR abs/2304.02350 (2023) - [i76]Longbing Cao, Hui Chen, Xuhui Fan, João Gama, Yew-Soon Ong, Vipin Kumar:
Bayesian Federated Learning: A Survey. CoRR abs/2304.13267 (2023) - [i75]Melvin Wong, Yew-Soon Ong, Abhishek Gupta, Kavitesh Kumar Bali, Caishun Chen:
Prompt Evolution for Generative AI: A Classifier-Guided Approach. CoRR abs/2305.16347 (2023) - [i74]Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma:
Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions, and Prospects. CoRR abs/2306.08219 (2023) - [i73]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 abs/2306.14690 (2023) - [i72]Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong:
Meta-learning enhanced next POI recommendation by leveraging check-ins from auxiliary cities. CoRR abs/2308.09309 (2023) - [i71]Wenjie Chen, Shengcai Liu, Yew-Soon Ong, Ke Tang:
Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization. CoRR abs/2308.14012 (2023) - [i70]Jiahao Xie, Wei Li, Xiangtai Li, Ziwei Liu, Yew Soon Ong, Chen Change Loy:
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation. CoRR abs/2309.13042 (2023) - [i69]Huiwei Lin, Shanshan Feng, Baoquan Zhang, Xutao Li, Yew-Soon Ong, Yunming Ye:
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning. CoRR abs/2309.15038 (2023) - [i68]Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong:
Large Language Models as Evolutionary Optimizers. CoRR abs/2310.19046 (2023) - [i67]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 abs/2312.03243 (2023) - [i66]Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew-Soon Ong:
Large Language Models for Intent-Driven Session Recommendations. CoRR abs/2312.07552 (2023) - [i65]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 abs/2312.11391 (2023) - [i64]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 abs/2312.11577 (2023) - [i63]Jiao Liu, Abhishek Gupta, Yew-Soon Ong:
Inverse Transfer Multiobjective Optimization. CoRR abs/2312.14713 (2023) - [i62]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 abs/2312.16262 (2023) - 2022
- [j196]Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 17(1): 10-12 (2022) - [j195]Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 17(2): 11-13 (2022) - [j194]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): 49-66 (2022) - [j193]Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 17(3): 11-13 (2022) - [j192]Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Yew Soon Ong:
CIS Publication Spotlight. IEEE Comput. Intell. Mag. 17(4): 13-15 (2022) - [j191]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): 2994-3013 (2022) - [j190]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): 2250023:1-2250023:15 (2022) - [j189]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): 5427-5437 (2022) - [j188]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): 2649-2662 (2022) - [j187]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): 5842-5854 (2022) - [j186]Xinghua Qu, Yew-Soon Ong, Abhishek Gupta:
Frame-Correlation Transfers Trigger Economical Attacks on Deep Reinforcement Learning Policies. IEEE Trans. Cybern. 52(8): 7577-7590 (2022) - [j185]Tiantian He, Lu Bai, Yew-Soon Ong:
Vicinal Vertex Allocation for Matrix Factorization in Networks. IEEE Trans. Cybern. 52(8): 8047-8060 (2022) - [j184]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): 8561-8573 (2022) - [j183]Zhendong Guo, Yew-Soon Ong, Tiantian He, Haitao Liu:
Co-Learning Bayesian Optimization. IEEE Trans. Cybern. 52(9): 9820-9833 (2022) - [j182]Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Deep Latent-Variable Kernel Learning. IEEE Trans. Cybern. 52(10): 10276-10289 (2022) - [j181]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): 130-144 (2022) - [j180]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): 202-205 (2022) - [j179]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): 379-391 (2022) - [j178]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): 952-965 (2022) - [j177]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): 4161-4171 (2022) - [j176]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): 6976-6982 (2022) - [c149]Ray Lim, Abhishek Gupta, Yew-Soon Ong:
An Initial Investigation of Data-Lean Transfer Evolutionary Optimization with Probabilistic Priors. CEC 2022: 1-9 - [c148]Mingyu Xu, Yongjin Zheng, Yew-Soon Ong, Zexuan Zhu, Xiaoliang Ma:
A multifactorial differential evolution with hybrid global and local search strategies. CEC 2022: 1-9 - [c147]Alvin Chan, Yew Soon Ong, Clement Tan:
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? IJCAI 2022: 659-665 - [c146]Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu:
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences. IJCAI 2022: 3751-3757 - [c145]Nguyen Hong Ngoc, Alvin Chan, Huynh Thi Thanh Binh, Yew Soon Ong:
Anti-Forensic Deepfake Personas and How To Spot Them. IJCNN 2022: 1-8 - [c144]Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do:
0.08mm2 128nW MFCC Engine for Ultra-low Power, Always-on Smart Sensing Applications. ISCAS 2022: 2680-2684 - [c143]Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do:
Recovering Accuracy of RRAM-based CIM for Binarized Neural Network via Chip-in-the-loop Training. ISCAS 2022: 2958-2962 - [c142]Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma:
Importance Prioritized Policy Distillation. KDD 2022: 1420-1429 - [c141]Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma:
Synthesising Audio Adversarial Examples for Automatic Speech Recognition. KDD 2022: 1430-1440 - [c140]Qiancheng Fu, Qingshan Xu, Yew Soon Ong, Wenbing Tao:
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction. NeurIPS 2022 - [c139]Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong:
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. SIGIR 2022: 2900-2911 - [c138]Abhishek Gupta, Ray Lim, Chin Chun Ooi, Yew-Soon Ong:
Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates. SSCI 2022: 1669-1674 - [i61]Haitao Liu, Kai Wu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains. CoRR abs/2202.12636 (2022) - [i60]Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong:
Lean Evolutionary Reinforcement Learning by Multitasking with Importance Sampling. CoRR abs/2203.10844 (2022) - [i59]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 abs/2205.00671 (2022) - [i58]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 abs/2205.03824 (2022) - [i57]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 abs/2205.04533 (2022) - [i56]Suryadi, Yew-Soon Ong, Lock Yue Chew:
Jacobian Granger Causal Neural Networks for Analysis of Stationary and Nonstationary Data. CoRR abs/2205.09573 (2022) - [i55]Qiancheng Fu, Qingshan Xu, Yew-Soon Ong, Wenbing Tao:
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction. CoRR abs/2205.15848 (2022) - [i54]Jiahao Xie, Wei Li, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy:
Masked Frequency Modeling for Self-Supervised Visual Pre-Training. CoRR abs/2206.07706 (2022) - [i53]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 abs/2206.10848 (2022) - [i52]Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong:
Understanding Diversity in Session-Based Recommendation. CoRR abs/2208.13453 (2022) - [i51]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 abs/2209.00472 (2022) - [i50]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 abs/2210.07715 (2022) - [i49]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 abs/2212.07030 (2022) - [i48]Nicholas Wei Yong Sung, 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 abs/2212.07624 (2022) - 2021
- [j175]Ray Lim, Lei Zhou, Abhishek Gupta, Yew-Soon Ong, Allan N. Zhang:
Solution Representation Learning in Multi-Objective Transfer Evolutionary Optimization. IEEE Access 9: 41844-41860 (2021) - [j174]Haibo He, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(1): 18-20 (2021) - [j173]Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(2): 11-76 (2021) - [j172]Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong:
Can Transfer Neuroevolution Tractably Solve Your Differential Equations? IEEE Comput. Intell. Mag. 16(2): 14-30 (2021) - [j171]Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(3): 5-7, 94 (2021) - [j170]Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(4): 14-16 (2021) - [j169]Liang Feng, Handing Wang, Yew-Soon Ong, Kay Chen Tan, Yaochu Jin:
[Guest Editorial]. IEEE Comput. Intell. Mag. 16(4): 17-18 (2021) - [j168]Soujanya Poria, Yew-Soon Ong, Bing Liu, Lidong Bing:
Affect Recognition for Multimodal Natural Language Processing. Cogn. Comput. 13(2): 229-230 (2021) - [j167]Ray Lim, Abhishek Gupta, Yew-Soon Ong, Liang Feng, Allan N. Zhang:
Non-linear Domain Adaptation in Transfer Evolutionary Optimization. Cogn. Comput. 13(2): 290-307 (2021) - [j166]Tiantian He, Yew-Soon Ong, Pengwei Hu:
Multi-source propagation aware network clustering☆. Neurocomputing 453: 119-130 (2021) - [j165]Ruwang Jiao, Sanyou Zeng, Changhe Li, Yew-Soon Ong:
Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization. Inf. Sci. 578: 592-614 (2021) - [j164]Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Modulating scalable Gaussian processes for expressive statistical learning. Pattern Recognit. 120: 108121 (2021) - [j163]Xinghua Qu, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei:
Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies. IEEE Trans. Cogn. Dev. Syst. 13(4): 806-817 (2021) - [j162]Alan Tan Wei Min, Abhishek Gupta, Yew-Soon Ong:
Generalizing Transfer Bayesian Optimization to Source-Target Heterogeneity. IEEE Trans Autom. Sci. Eng. 18(4): 1754-1765 (2021) - [j161]Zhen Zhang, Yew-Soon Ong, Dongqing Wang, Binqiang Xue:
A Collaborative Multiagent Reinforcement Learning Method Based on Policy Gradient Potential. IEEE Trans. Cybern. 51(2): 1015-1027 (2021) - [j160]Kavitesh Kumar Bali, Abhishek Gupta, Yew-Soon Ong, Puay Siew Tan:
Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II. IEEE Trans. Cybern. 51(4): 1784-1796 (2021) - [j159]Ruwang Jiao, Sanyou Zeng, Changhe Li, Shengxiang Yang, Yew-Soon Ong:
Handling Constrained Many-Objective Optimization Problems via Problem Transformation. IEEE Trans. Cybern. 51(10): 4834-4847 (2021) - [j158]Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong:
Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding. IEEE Trans. Evol. Comput. 25(3): 567-581 (2021) - [j157]Haitao Liu, Yew-Soon Ong, Jianfei Cai:
Large-Scale Heteroscedastic Regression via Gaussian Process. IEEE Trans. Neural Networks Learn. Syst. 32(2): 708-721 (2021) - [j156]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong:
Practical Multisource Transfer Regression With Source-Target Similarity Captures. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3498-3509 (2021) - [j155]Yaqing Hou, Yew-Soon Ong, Jing Tang, Yifeng Zeng:
Evolutionary Multiagent Transfer Learning With Model-Based Opponent Behavior Prediction. IEEE Trans. Syst. Man Cybern. Syst. 51(10): 5962-5976 (2021) - [c137]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. CHIL 2021: 193-203 - [c136]Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu:
CoCon: A Self-Supervised Approach for Controlled Text Generation. ICLR 2021 - [c135]Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do:
An Energy-Efficient Convolution Unit for Depthwise Separable Convolutional Neural Networks. ISCAS 2021: 1-5 - [c134]Tiantian He, Yew Soon Ong, Lu Bai:
Learning Conjoint Attentions for Graph Neural Nets. NeurIPS 2021: 2641-2653 - [c133]Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy:
Unsupervised Object-Level Representation Learning from Scene Images. NeurIPS 2021: 28864-28876 - [c132]Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do:
Efficient Implementation of Activation Functions for LSTM accelerators. VLSI-SoC 2021: 1-5 - [i47]Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong:
Can Transfer Neuroevolution Tractably Solve Your Differential Equations? CoRR abs/2101.01998 (2021) - [i46]Tiantian He, Lu Bai, Yew-Soon Ong:
Graph Joint Attention Networks. CoRR abs/2102.03147 (2021) - [i45]Liang Feng, Qingxia Shang, Yaqing Hou, Kay Chen Tan, Yew-Soon Ong:
Multi-Space Evolutionary Search for Large-Scale Optimization. CoRR abs/2102.11693 (2021) - [i44]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 abs/2103.04246 (2021) - [i43]Maoguo Gong, Yuan Gao, Yu Xie, A. Kai Qin, Ke Pan, Yew-Soon Ong:
Multi-Party Dual Learning. CoRR abs/2104.06677 (2021) - [i42]Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, Chen Change Loy:
Unsupervised Object-Level Representation Learning from Scene Images. CoRR abs/2106.11952 (2021) - [i41]Heng Zhao, Joey Tianyi Zhou, Yew-Soon Ong:
Word2Pix: Word to Pixel Cross Attention Transformer in Visual Grounding. CoRR abs/2108.00205 (2021) - [i40]Jian Cheng Wong, Chinchun Ooi, Abhishek Gupta, Yew-Soon Ong:
Learning in Sinusoidal Spaces with Physics-Informed Neural Networks. CoRR abs/2109.09338 (2021) - [i39]Abhishek Gupta, Lei Zhou, Yew-Soon Ong, Zefeng Chen, Yaqing Hou:
Half a Dozen Real-World Applications of Evolutionary Multitasking and More. CoRR abs/2109.13101 (2021) - [i38]Pao-Hsiung Chiu, Jian Cheng Wong, Chinchun Ooi, My Ha Dao, Yew-Soon Ong:
CAN-PINN: A Fast Physics-Informed Neural Network Based on Coupled-Automatic-Numerical Differentiation Method. CoRR abs/2110.15832 (2021) - 2020
- [j154]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(1): 19-21 (2020) - [j153]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(2): 11-13 (2020) - [j152]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(3): 12-14 (2020) - [j151]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 15(4): 5-7 (2020) - [j150]Xiaobing Han, Tiantian He, Yew-Soon Ong, Yanfei Zhong:
Precise object detection using adversarially augmented local/global feature fusion. Eng. Appl. Artif. Intell. 94: 103710 (2020) - [j149]Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong:
DEVDAN: Deep evolving denoising autoencoder. Neurocomputing 390: 297-314 (2020) - [j148]Ana Valdivia, Eugenio Martínez-Cámara, Iti Chaturvedi, María Victoria Luzón, Erik Cambria, Yew-Soon Ong, Francisco Herrera:
What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules. J. Ambient Intell. Humaniz. Comput. 11(1): 39-52 (2020) - [j147]Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta:
Multi-task gradient descent for multi-task learning. Memetic Comput. 12(4): 355-369 (2020) - [j146]Tiantian He, Yang Liu, Tobey H. Ko, Keith C. C. Chan, Yew-Soon Ong:
Contextual Correlation Preserving Multiview Featured Graph Clustering. IEEE Trans. Cybern. 50(10): 4318-4331 (2020) - [j145]Kavitesh Kumar Bali, Yew-Soon Ong, Abhishek Gupta, Puay Siew Tan:
Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II. IEEE Trans. Evol. Comput. 24(1): 69-83 (2020) - [j144]Weiwei Liu, Xiaobo Shen, Yew-Soon Ong, Ivor W. Tsang, Chen Gong, Vladimir Pavlovic:
Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2236-2239 (2020) - [j143]Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen:
Survey on Multi-Output Learning. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2409-2429 (2020) - [j142]Haitao Liu, Yew-Soon Ong, Xiaobo Shen, Jianfei Cai:
When Gaussian Process Meets Big Data: A Review of Scalable GPs. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4405-4423 (2020) - [j141]Jinghui Zhong, Liang Feng, Wentong Cai, Yew-Soon Ong:
Multifactorial Genetic Programming for Symbolic Regression Problems. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4492-4505 (2020) - [c131]Monidipa Das, Mahardhika Pratama, Jie Zhang, Yew-Soon Ong:
A Skip-Connected Evolving Recurrent Neural Network for Data Stream Classification under Label Latency Scenario. AAAI 2020: 3717-3724 - [c130]Pengfei Wei, Xinghua Qu, Yiping Ke, Tze-Yun Leong, Yew-Soon Ong:
Adaptive Knowledge Transfer based on Transfer Neural Kernel Network. AAMAS 2020: 1485-1493 - [c129]Alvin Chan, Yi Tay, Yew-Soon Ong:
What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients. CVPR 2020: 329-338 - [c128]Xiaohang Zhan, Jiahao Xie, Ziwei Liu, Yew-Soon Ong, Chen Change Loy:
Online Deep Clustering for Unsupervised Representation Learning. CVPR 2020: 6687-6696 - [c127]Alvin Chan, Yi Tay, Yew-Soon Ong, Aston Zhang:
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder. EMNLP (Findings) 2020: 4175-4189 - [c126]Alvin Chan, Yi Tay, Yew-Soon Ong, Jie Fu:
Jacobian Adversarially Regularized Networks for Robustness. ICLR 2020 - [c125]Ahmed Kattan, Faiyaz Doctor, Yew-Soon Ong, Alexandros Agapitos:
Genetic Programming Multitasking. SSCI 2020: 1004-1012 - [i37]Tiantian He, Lu Bai, Yew-Soon Ong:
Relational Thematic Clustering with Mutually Preferred Neighbors. CoRR abs/2001.08412 (2020) - [i36]Joey Tianyi Zhou, Xi Peng, Yew-Soon Ong:
Heterogeneous Representation Learning: A Review. CoRR abs/2004.13303 (2020) - [i35]Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Deep Latent-Variable Kernel Learning. CoRR abs/2005.08467 (2020) - [i34]Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu:
CoCon: A Self-Supervised Approach for Controlled Text Generation. CoRR abs/2006.03535 (2020) - [i33]Xiaohang Zhan, Jiahao Xie, Ziwei Liu, Yew-Soon Ong, Chen Change Loy:
Online Deep Clustering for Unsupervised Representation Learning. CoRR abs/2006.10645 (2020) - [i32]Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Zhu Sun:
Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning. CoRR abs/2008.06199 (2020) - [i31]Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, Chen Change Loy:
Delving into Inter-Image Invariance for Unsupervised Visual Representations. CoRR abs/2008.11702 (2020) - [i30]Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Modulating Scalable Gaussian Processes for Expressive Statistical Learning. CoRR abs/2008.12922 (2020) - [i29]Alvin Chan, Yi Tay, Yew-Soon Ong, Aston Zhang:
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder. CoRR abs/2010.02684 (2020) - [i28]Mojtaba Shakeri, Erfan Miahi, Abhishek Gupta, Yew-Soon Ong:
Scalable Transfer Evolutionary Optimization: Coping with Big Task Instances. CoRR abs/2012.01830 (2020)
2010 – 2019
- 2019
- [j140]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 14(1): 10-12 (2019) - [j139]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 14(2): 13-15 (2019) - [j138]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 14(3): 4-6 (2019) - [j137]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 14(4): 8-10 (2019) - [j136]Abhishek Gupta, Yew-Soon Ong:
Back to the Roots: Multi-X Evolutionary Computation. Cogn. Comput. 11(1): 1-17 (2019) - [j135]Haitao Liu, Jianfei Cai, Yew-Soon Ong, Yi Wang:
Understanding and comparing scalable Gaussian process regression for big data. Knowl. Based Syst. 164: 324-335 (2019) - [j134]Bingshui Da, Yew-Soon Ong, Abhishek Gupta, Liang Feng, Haitao Liu:
Fast transfer Gaussian process regression with large-scale sources. Knowl. Based Syst. 165: 208-218 (2019) - [j133]Liang Feng, Abhishek Gupta, Yew-Soon Ong:
Compressed representation for higher-level meme space evolution: a case study on big knapsack problems. Memetic Comput. 11(1): 3-17 (2019) - [j132]Guo-Sheng Hao, Meng-Hiot Lim, Yew-Soon Ong, Han Huang, Gai-Ge Wang:
Domination landscape in evolutionary algorithms and its applications. Soft Comput. 23(11): 3563-3570 (2019) - [j131]Jianping Luo, Abhishek Gupta, Yew-Soon Ong, Zhenkun Wang:
Evolutionary Optimization of Expensive Multiobjective Problems With Co-Sub-Pareto Front Gaussian Process Surrogates. IEEE Trans. Cybern. 49(5): 1708-1721 (2019) - [j130]Weili Guo, Yew-Soon Ong, Yingjiang Zhou, Jaime Rubio Hervas, Aiguo Song, Haikun Wei:
Fisher Information Matrix of Unipolar Activation Function-Based Multilayer Perceptrons. IEEE Trans. Cybern. 49(8): 3088-3098 (2019) - [j129]Liang Feng, Lei Zhou, Jinghui Zhong, Abhishek Gupta, Yew-Soon Ong, Kay Chen Tan, Alex Kai Qin:
Evolutionary Multitasking via Explicit Autoencoding. IEEE Trans. Cybern. 49(9): 3457-3470 (2019) - [j128]Bingshui Da, Abhishek Gupta, Yew-Soon Ong:
Curbing Negative Influences Online for Seamless Transfer Evolutionary Optimization. IEEE Trans. Cybern. 49(12): 4365-4378 (2019) - [j127]Alan Tan Wei Min, Yew-Soon Ong, Abhishek Gupta, Chi Keong Goh:
Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems. IEEE Trans. Evol. Comput. 23(1): 15-28 (2019) - [j126]Zhenkun Wang, Yew-Soon Ong, Hisao Ishibuchi:
On Scalable Multiobjective Test Problems With Hardly Dominated Boundaries. IEEE Trans. Evol. Comput. 23(2): 217-231 (2019) - [j125]Zhenkun Wang, Yew-Soon Ong, Jianyong Sun, Abhishek Gupta, Qingfu Zhang:
A Generator for Multiobjective Test Problems With Difficult-to-Approximate Pareto Front Boundaries. IEEE Trans. Evol. Comput. 23(4): 556-571 (2019) - [j124]Hao Li, Yew-Soon Ong, Maoguo Gong, Zhenkun Wang:
Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study. IEEE Trans. Evol. Comput. 23(5): 733-747 (2019) - [j123]Yew-Soon Ong, Abhishek Gupta:
AIR5: Five Pillars of Artificial Intelligence Research. IEEE Trans. Emerg. Top. Comput. Intell. 3(5): 411-415 (2019) - [j122]Wan-Yu Deng, Amaury Lendasse, Yew-Soon Ong, Ivor Wai-Hung Tsang, Lin Chen, Qing-Hua Zheng:
Domain Adaption via Feature Selection on Explicit Feature Map. IEEE Trans. Neural Networks Learn. Syst. 30(4): 1180-1190 (2019) - [c124]Abhishek Gupta, Yew-Soon Ong, Mojtaba Shakeri, Xu Chi, Allan NengSheng Zhang:
The Blessing of Dimensionality in Many-Objective Search: An Inverse Machine Learning Insight. IEEE BigData 2019: 3896-3902 - [c123]Mojtaba Shakeri, Abhishek Gupta, Yew-Soon Ong, Xu Chi, Allan Zhang NengSheng:
Coping with Big Data in Transfer Optimization. IEEE BigData 2019: 3925-3932 - [c122]Xinghua Qu, Yew-Soon Ong, Yaqing Hou, Xiaobo Shen:
Memetic Evolution Strategy for Reinforcement Learning. CEC 2019: 1922-1928 - [c121]Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding:
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. CIKM 2019: 1171-1180 - [c120]Ray Lim, Yew-Soon Ong, Phan Thi Hong Hanh, Abhishek Gupta, Nengsheng Allan Zhang:
Can route planning be smarter with transfer optimization? GECCO (Companion) 2019: 318-319 - [c119]Tiantian He, Lu Bai, Yew-Soon Ong:
Manifold Regularized Stochastic Block Model. ICTAI 2019: 800-807 - [i27]Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen:
A Survey on Multi-output Learning. CoRR abs/1901.00248 (2019) - [i26]Haitao Liu, Yew-Soon Ong, Ziwei Yu, Jianfei Cai, Xiaobo Shen:
Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods. CoRR abs/1909.06541 (2019) - [i25]Mahardhika Pratama, Choiru Za'in, Andri Ashfahani, Yew-Soon Ong, Weiping Ding:
Automatic Construction of Multi-layer Perceptron Network from Streaming Examples. CoRR abs/1910.03437 (2019) - [i24]Andri Ashfahani, Mahardhika Pratama, Edwin Lughofer, Yew-Soon Ong:
DEVDAN: Deep Evolving Denoising Autoencoder. CoRR abs/1910.04062 (2019) - [i23]Xinghua Qu, Zhu Sun, Yew-Soon Ong, Pengfei Wei, Abhishek Gupta:
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy. CoRR abs/1911.03849 (2019) - [i22]Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta:
A Multi-Task Gradient Descent Method for Multi-Label Learning. CoRR abs/1911.07693 (2019) - [i21]Alvin Chan, Yew-Soon Ong:
Poison as a Cure: Detecting & Neutralizing Variable-Sized Backdoor Attacks in Deep Neural Networks. CoRR abs/1911.08040 (2019) - [i20]Alvin Chan, Yi Tay, Yew-Soon Ong:
What it Thinks is Important is Important: Robustness Transfers through Input Gradients. CoRR abs/1912.05699 (2019) - [i19]Alvin Chan, Yi Tay, Yew-Soon Ong, Jie Fu:
Jacobian Adversarially Regularized Networks for Robustness. CoRR abs/1912.10185 (2019) - 2018
- [j121]Han Hu, Yong Luo, Yonggang Wen, Yew-Soon Ong, Xinwen Zhang:
How to Find a Perfect Data Scientist: A Distance-Metric Learning Approach. IEEE Access 6: 60380-60395 (2018) - [j120]Yanfei Zhong, Ailong Ma, Yew-Soon Ong, Zexuan Zhu, Liangpei Zhang:
Computational intelligence in optical remote sensing image processing. Appl. Soft Comput. 64: 75-93 (2018) - [j119]Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh:
Co-evolutionary multi-task learning for dynamic time series prediction. Appl. Soft Comput. 70: 576-589 (2018) - [j118]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(1): 25-27 (2018) - [j117]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(2): 13-15 (2018) - [j116]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(3): 8-11 (2018) - [j115]Haibo He, Jon Garibaldi, Kay Chen Tan, Julian Togelius, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 13(4): 10-12 (2018) - [j114]Haitao Liu, Yew-Soon Ong, Jianfei Cai, Yi Wang:
Cope with diverse data structures in multi-fidelity modeling: A Gaussian process method. Eng. Appl. Artif. Intell. 67: 211-225 (2018) - [j113]Weili Guo, Haikun Wei, Yew-Soon Ong, Jaime Rubio Hervas, Junsheng Zhao, Hai Wang, Kanjian Zhang:
Numerical Analysis near Singularities in RBF Networks. J. Mach. Learn. Res. 19: 1:1-1:39 (2018) - [j112]Haitao Liu, Jianfei Cai, Yew-Soon Ong:
Remarks on multi-output Gaussian process regression. Knowl. Based Syst. 144: 102-121 (2018) - [j111]Adam Zychowski, Abhishek Gupta, Jacek Mandziuk, Yew-Soon Ong:
Addressing expensive multi-objective games with postponed preference articulation via memetic co-evolution. Knowl. Based Syst. 154: 17-31 (2018) - [j110]Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi-Keong Goh:
Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks. Neural Process. Lett. 47(3): 993-1009 (2018) - [j109]Yuan Yuan, Yew-Soon Ong, Abhishek Gupta, Hua Xu:
Objective Reduction in Many-Objective Optimization: Evolutionary Multiobjective Approaches and Comprehensive Analysis. IEEE Trans. Evol. Comput. 22(2): 189-210 (2018) - [j108]Abhishek Gupta, Yew-Soon Ong, Liang Feng:
Insights on Transfer Optimization: Because Experience is the Best Teacher. IEEE Trans. Emerg. Top. Comput. Intell. 2(1): 51-64 (2018) - [j107]Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong:
Multilabel Prediction via Cross-View Search. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4324-4338 (2018) - [j106]Maha Elarbi, Slim Bechikh, Abhishek Gupta, Lamjed Ben Said, Yew-Soon Ong:
A New Decomposition-Based NSGA-II for Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 48(7): 1191-1210 (2018) - [c118]Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong:
Compact Multi-Label Learning. AAAI 2018: 4066-4073 - [c117]Zhiwei Zeng, Xiuyi Fan, Chunyan Miao, Cyril Leung, Jing Jih Chin, Yew-Soon Ong:
Context-based and Explainable Decision Making with Argumentation. AAMAS 2018: 1114-1122 - [c116]Wei Zhou, Liang Feng, Siwei Jiang, Shu Zhang, Yaqing Hou, Yew-Soon Ong, Zexuan Zhu, Kai Liu:
A Preliminary Study of Adaptive Indicator Based Evolutionary Algorithm for Dynamic Multiobjective Optimization via Autoencoding. CEC 2018: 1-7 - [c115]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong:
Uncluttered Domain Sub-Similarity Modeling for Transfer Regression. ICDM 2018: 1314-1319 - [c114]Haitao Liu, Jianfei Cai, Yi Wang, Yew-Soon Ong:
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression. ICML 2018: 3137-3146 - [c113]Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor W. Tsang:
Deep Discrete Prototype Multilabel Learning. IJCAI 2018: 2675-2681 - [c112]Xiaobo Shen, Shirui Pan, Weiwei Liu, Yew-Soon Ong, Quan-Sen Sun:
Discrete Network Embedding. IJCAI 2018: 3549-3555 - [e8]Xindong Wu, Yew-Soon Ong, Charu C. Aggarwal, Huanhuan Chen:
2018 IEEE International Conference on Big Knowledge, ICBK 2018, Singapore, November 17-18, 2018. IEEE Computer Society 2018, ISBN 978-1-5386-9125-0 [contents] - [i18]Haitao Liu, Jianfei Cai, Yi Wang, Yew-Soon Ong:
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression. CoRR abs/1806.00720 (2018) - [i17]Haitao Liu, Yew-Soon Ong, Xiaobo Shen, Jianfei Cai:
When Gaussian Process Meets Big Data: A Review of Scalable GPs. CoRR abs/1807.01065 (2018) - [i16]Alvin Chan, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Yang Liu, Yew-Soon Ong:
Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer. CoRR abs/1809.02444 (2018) - [i15]Mahardhika Pratama, Andri Ashfahani, Yew-Soon Ong, Savitha Ramasamy, Edwin Lughofer:
Autonomous Deep Learning: Incremental Learning of Denoising Autoencoder for Evolving Data Streams. CoRR abs/1809.09081 (2018) - [i14]Giovanni Iacca, Ferrante Neri, Ernesto Mininno, Yew-Soon Ong, Meng-Hiot Lim:
Ockham's Razor in Memetic Computing: Three Stage Optimal Memetic Exploration. CoRR abs/1810.08669 (2018) - [i13]Haitao Liu, Jianfei Cai, Yew-Soon Ong, Yi Wang:
Understanding and Comparing Scalable Gaussian Process Regression for Big Data. CoRR abs/1811.01159 (2018) - [i12]Haitao Liu, Yew-Soon Ong, Jianfei Cai:
Large-scale Heteroscedastic Regression via Gaussian Process. CoRR abs/1811.01179 (2018) - [i11]Wesley Joon-Wie Tann, Xing Jie Han, Sourav Sen Gupta, Yew-Soon Ong:
Towards Safer Smart Contracts: A Sequence Learning Approach to Detecting Vulnerabilities. CoRR abs/1811.06632 (2018) - [i10]Yew-Soon Ong, Abhishek Gupta:
AIR5: Five Pillars of Artificial Intelligence Research. CoRR abs/1812.11509 (2018) - 2017
- [j105]Haitao Liu, Jianfei Cai, Yew-Soon Ong:
An adaptive sampling approach for Kriging metamodeling by maximizing expected prediction error. Comput. Chem. Eng. 106: 171-182 (2017) - [j104]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 12(2): 20-22 (2017) - [j103]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 12(3): 6-9 (2017) - [j102]Jinghui Zhong, Liang Feng, Yew-Soon Ong:
Gene Expression Programming: A Survey [Review Article]. IEEE Comput. Intell. Mag. 12(3): 54-72 (2017) - [j101]Haibo He, Jon Garibaldi, Kay Chen Tan, Graham Kendall, Yaochu Jin, Yew-Soon Ong:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 12(4): 9-11 (2017) - [j100]Alan Tan Wei Min, Ramón Sagarna, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh:
Knowledge Transfer Through Machine Learning in Aircraft Design. IEEE Comput. Intell. Mag. 12(4): 48-60 (2017) - [j99]Meiying Cheng, Abhishek Gupta, Yew-Soon Ong, Zhiwei Ni:
Coevolutionary multitasking for concurrent global optimization: With case studies in complex engineering design. Eng. Appl. Artif. Intell. 64: 13-24 (2017) - [j98]Abhishek Gupta, Chen Kim Heng, Yew-Soon Ong, Puay Siew Tan, Allan N. Zhang:
A generic framework for multi-criteria decision support in eco-friendly urban logistics systems. Expert Syst. Appl. 71: 288-300 (2017) - [j97]Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh:
Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction. Neurocomputing 243: 21-34 (2017) - [j96]Felis Dwiyasa, Meng-Hiot Lim, Yew-Soon Ong, Bijaya K. Panigrahi:
Extreme learning machine for indoor location fingerprinting. Multidimens. Syst. Signal Process. 28(3): 867-883 (2017) - [j95]Abhishek Gupta, Yew-Soon Ong, Liang Feng, Kay Chen Tan:
Multiobjective Multifactorial Optimization in Evolutionary Multitasking. IEEE Trans. Cybern. 47(7): 1652-1665 (2017) - [j94]Yifeng Zeng, Xuefeng Chen, Yew-Soon Ong, Jing Tang, Yanping Xiang:
Structured Memetic Automation for Online Human-Like Social Behavior Learning. IEEE Trans. Evol. Comput. 21(1): 102-115 (2017) - [j93]Yaqing Hou, Yew-Soon Ong, Liang Feng, Jacek M. Zurada:
An Evolutionary Transfer Reinforcement Learning Framework for Multiagent Systems. IEEE Trans. Evol. Comput. 21(4): 601-615 (2017) - [j92]Liang Feng, Yew-Soon Ong, Siwei Jiang, Abhishek Gupta:
Autoencoding Evolutionary Search With Learning Across Heterogeneous Problems. IEEE Trans. Evol. Comput. 21(5): 760-772 (2017) - [j91]Yew-Soon Ong:
Editorial IEEE Transactions on Emerging Topics in Computational Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. 1(1): 1 (2017) - [c111]Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong, K. Liu, C. Chen, Edwin Hsing-Mean Sha, B. Yang, B. W. Yan:
Solving dynamic vehicle routing problem via evolutionary search with learning capability. CEC 2017: 890-896 - [c110]Kavitesh Kumar Bali, Abhishek Gupta, Liang Feng, Yew-Soon Ong, Puay Siew Tan:
Linearized domain adaptation in evolutionary multitasking. CEC 2017: 1295-1302 - [c109]Hao Yang, Joey Tianyi Zhou, Jianfei Cai, Yew-Soon Ong:
MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information. CVPR 2017: 5996-6004 - [c108]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong, Chi-Keong Goh:
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression. ICML 2017: 3722-3731 - [p3]Abhishek Gupta, Bingshui Da, Yuan Yuan, Yew-Soon Ong:
On the Emerging Notion of Evolutionary Multitasking: A Computational Analog of Cognitive Multitasking. Recent Advances in Evolutionary Multi-objective Optimization 2017: 139-157 - [i9]Hao Yang, Joey Tianyi Zhou, Jianfei Cai, Yew-Soon Ong:
MIML-FCN+: Multi-instance Multi-label Learning via Fully Convolutional Networks with Privileged Information. CoRR abs/1702.08681 (2017) - [i8]Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh:
Co-evolutionary multi-task learning for dynamic time series prediction. CoRR abs/1703.01887 (2017) - [i7]Yuan Yuan, Yew-Soon Ong, Liang Feng, A. Kai Qin, Abhishek Gupta, Bingshui Da, Qingfu Zhang, Kay Chen Tan, Yaochu Jin, Hisao Ishibuchi:
Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results. CoRR abs/1706.02766 (2017) - [i6]Bingshui Da, Yew-Soon Ong, Liang Feng, A. Kai Qin, Abhishek Gupta, Zexuan Zhu, Chuan-Kang Ting, Ke Tang, Xin Yao:
Evolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results. CoRR abs/1706.03470 (2017) - [i5]Adam Zychowski, Abhishek Gupta, Jacek Mandziuk, Yew-Soon Ong:
Addressing Expensive Multi-objective Games with Postponed Preference Articulation via Memetic Co-evolution. CoRR abs/1711.06763 (2017) - 2016
- [j90]Shahrzad Faghih-Roohi, Yew-Soon Ong, Sobhan Asian, Allan N. Zhang:
Dynamic conditional value-at-risk model for routing and scheduling of hazardous material transportation networks. Ann. Oper. Res. 247(2): 715-734 (2016) - [j89]Yew-Soon Ong, Abhishek Gupta:
Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking. Cogn. Comput. 8(2): 125-142 (2016) - [j88]Dudy Lim, Yew-Soon Ong, Abhishek Gupta, Chi Keong Goh, Partha Sarathi Dutta:
Towards a new Praxis in optinformatics targeting knowledge re-use in evolutionary computation: simultaneous problem learning and optimization. Evol. Intell. 9(4): 203-220 (2016) - [j87]Wan-Yu Deng, Yew-Soon Ong, Puay Siew Tan, Qing-Hua Zheng:
Online sequential reduced kernel extreme learning machine. Neurocomputing 174: 72-84 (2016) - [j86]Ahmed Kattan, Alexandros Agapitos, Yew-Soon Ong, Ateq A. Alghamedi, Michael O'Neill:
GP made faster with semantic surrogate modelling. Inf. Sci. 355-356: 169-185 (2016) - [j85]Iti Chaturvedi, Yew-Soon Ong, Ivor W. Tsang, Roy E. Welsch, Erik Cambria:
Learning word dependencies in text by means of a deep recurrent belief network. Knowl. Based Syst. 108: 144-154 (2016) - [j84]Meng-Hiot Lim, Yew-Soon Ong, Steven M. Gustafson:
Editorial. Memetic Comput. 8(2): 83-84 (2016) - [j83]Wan-Yu Deng, Yew-Soon Ong, Qing-Hua Zheng:
A Fast Reduced Kernel Extreme Learning Machine. Neural Networks 76: 29-38 (2016) - [j82]Yiteng Zhai, Yew-Soon Ong, Ivor W. Tsang:
Making Trillion Correlations Feasible in Feature Grouping and Selection. IEEE Trans. Pattern Anal. Mach. Intell. 38(12): 2472-2486 (2016) - [j81]Liang Feng, Yew-Soon Ong, Caishun Chen, Xianshun Chen:
Conceptual modeling of evolvable local searches in memetic algorithms using linear genetic programming: a case study on capacitated vehicle routing problem. Soft Comput. 20(9): 3745-3769 (2016) - [j80]Yanfei Zhong, Zexuan Zhu, Yew-Soon Ong:
Soft computing in remote sensing image processing. Soft Comput. 20(12): 4629-4630 (2016) - [j79]Maciej Swiechowski, Jacek Mandziuk, Yew-Soon Ong:
Specialization of a UCT-Based General Game Playing Program to Single-Player Games. IEEE Trans. Comput. Intell. AI Games 8(3): 218-228 (2016) - [j78]Enrique Muñoz Ballester, José Manuel Cadenas, Yew-Soon Ong, Giovanni Acampora:
Memetic Music Composition. IEEE Trans. Evol. Comput. 20(1): 1-15 (2016) - [j77]Jinghui Zhong, Yew-Soon Ong, Wentong Cai:
Self-Learning Gene Expression Programming. IEEE Trans. Evol. Comput. 20(1): 65-80 (2016) - [j76]Abhishek Gupta, Yew-Soon Ong, Liang Feng:
Multifactorial Evolution: Toward Evolutionary Multitasking. IEEE Trans. Evol. Comput. 20(3): 343-357 (2016) - [j75]Gitae Kim, Yew-Soon Ong, Taesu Cheong, Puay Siew Tan:
Solving the Dynamic Vehicle Routing Problem Under Traffic Congestion. IEEE Trans. Intell. Transp. Syst. 17(8): 2367-2380 (2016) - [c107]Bingshui Da, Abhishek Gupta, Yew-Soon Ong, Liang Feng:
The Boon of Gene-Culture Interaction for Effective Evolutionary Multitasking. ACALCI 2016: 54-65 - [c106]Yaqing Hou, Yifeng Zeng, Yew-Soon Ong:
A Memetic Multi-Agent Demonstration Learning Approach with Behavior Prediction. AAMAS 2016: 539-547 - [c105]Siwei Jiang, Liang Feng, Chen Kim Heng, Quoc Chinh Nguyen, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan:
Adaptive indicator-based evolutionary algorithm for multiobjective optimization problems. CEC 2016: 492-499 - [c104]Siwei Jiang, Liang Feng, Dazhi Yang, Chen Kim Heng, Yew-Soon Ong, Nengsheng Allan Zhang, Puay Siew Tan, Zhihua Cai:
Towards adaptive weight vectors for multiobjective evolutionary algorithm based on decomposition. CEC 2016: 500-507 - [c103]Chen Kim Heng, Quoc Chinh Nguyen, Siwei Jiang, Puay Siew Tan, Abhishek Gupta, Bingshui Da, Yew-Soon Ong:
Application of route flexibility in data-starved vehicle routing problem with time windows. CEC 2016: 799-805 - [c102]Zhenbin Ye, Liang Feng, Yew-Soon Ong, Kai Liu, Chao Chen, Edwin Hsing-Mean Sha:
A preliminary study on distance selection in probabilistic memetic framework for capacitated arc routing problem. CEC 2016: 1687-1694 - [c101]Bingshui Da, Abhishek Gupta, Yew-Soon Ong, Liang Feng:
Evolutionary multitasking across single and multi-objective formulations for improved problem solving. CEC 2016: 1695-1701 - [c100]Abhishek Gupta, Yew-Soon Ong, Piaras A. Kelly, Chi-Keong Goh:
Pareto rank learning for multi-objective bi-level optimization: A study in composites manufacturing. CEC 2016: 1940-1947 - [c99]Abhishek Gupta, Yew-Soon Ong, Bingshui Da, Liang Feng, Stephanus Daniel Handoko:
Landscape synergy in evolutionary multitasking. CEC 2016: 3076-3083 - [c98]Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh:
Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks. ICONIP (2) 2016: 37-46 - [c97]Yaqing Hou, Liang Feng, Yew-Soon Ong:
Creating human-like non-player game characters using a Memetic Multi-Agent System. IJCNN 2016: 177-184 - [c96]Yawei Li, Lizuo Jin, A. Kai Qin, Changyin Sun, Yew-Soon Ong, Tong Cui:
Semi-supervised auto-encoder based on manifold learning. IJCNN 2016: 4032-4039 - [c95]C. S. Chen, Yaqing Hou, Yew-Soon Ong:
A conceptual modeling of flocking-regulated multi-agent reinforcement learning. IJCNN 2016: 5256-5262 - [c94]Minh Le Nguyen, Le Sy Vinh, Yew-Soon Ong, Lam Thu Bui, Keiji Hirata:
Preface KSE 2016. KSE 2016: viii - [c93]Abhishek Gupta, Yew-Soon Ong:
Genetic transfer or population diversification? Deciphering the secret ingredients of evolutionary multitask optimization. SSCI 2016: 1-7 - [c92]Ramón Sagarna, Yew-Soon Ong:
Concurrently searching branches in software tests generation through multitask evolution. SSCI 2016: 1-8 - [c91]Lei Zhou, Liang Feng, Jinghui Zhong, Yew-Soon Ong, Zexuan Zhu, Edwin Hsing-Mean Sha:
Evolutionary multitasking in combinatorial search spaces: A case study in capacitated vehicle routing problem. SSCI 2016: 1-8 - [c90]Stanley Frederick W. T. Lim, Allan N. Zhang, Mark Goh, Yew-Soon Ong, Puay Siew Tan:
Three-Dimensional Vehicle Routing Problem for Urban Last Mile Logistics: Problem Formulation and Computational Analysis. UKSim 2016: 252-257 - [e7]Minh Le Nguyen, Le Sy Vinh, Lam Thu Bui, Van-Giang Nguyen, Yew-Soon Ong, Keiji Hirata:
2016 Eighth International Conference on Knowledge and Systems Engineering, KSE 2016, Hanoi, Vietnam, October 6-8, 2016. IEEE 2016, ISBN 978-1-4673-8929-7 [contents] - [i4]Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong:
Adaptive Subgradient Methods for Online AUC Maximization. CoRR abs/1602.00351 (2016) - [i3]Abhishek Gupta, Yew-Soon Ong:
Genetic Transfer or Population Diversification? Deciphering the Secret Ingredients of Evolutionary Multitask Optimization. CoRR abs/1607.05390 (2016) - 2015
- [j74]Quanqing Xu, Rajesh Vellore Arumugam, Khai Leong Yong, Yonggang Wen, Yew-Soon Ong, Weiya Xi:
Adaptive and scalable load balancing for metadata server cluster in cloud-scale file systems. Frontiers Comput. Sci. 9(6): 904-918 (2015) - [j73]Ahmed Kattan, Yew-Soon Ong:
Surrogate Genetic Programming: A semantic aware evolutionary search. Inf. Sci. 296: 345-359 (2015) - [j72]Meng-Hiot Lim, Yew-Soon Ong, Steven M. Gustafson:
Editorial. Memetic Comput. 7(2): 75-76 (2015) - [j71]Meng-Hiot Lim, Yew-Soon Ong, Steven M. Gustafson:
Editorial. Memetic Comput. 7(3): 157-158 (2015) - [j70]Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor W. Tsang:
Memes as building blocks: a case study on evolutionary optimization + transfer learning for routing problems. Memetic Comput. 7(3): 159-180 (2015) - [j69]Meng-Hiot Lim, Yew-Soon Ong, Steven M. Gustafson:
Editorial. Memetic Comput. 7(4): 241-242 (2015) - [j68]Iti Chaturvedi, Yew-Soon Ong, Rajesh Vellore Arumugam:
Deep transfer learning for classification of time-delayed Gaussian networks. Signal Process. 110: 250-262 (2015) - [j67]Siwei Jiang, Jie Zhang, Yew-Soon Ong, Allan N. Zhang, Puay Siew Tan:
A Simple and Fast Hypervolume Indicator-Based Multiobjective Evolutionary Algorithm. IEEE Trans. Cybern. 45(10): 2202-2213 (2015) - [j66]Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Ivor W. Tsang:
Memetic Search With Interdomain Learning: A Realization Between CVRP and CARP. IEEE Trans. Evol. Comput. 19(5): 644-658 (2015) - [j65]Gitae Kim, Yew-Soon Ong, Chen Kim Heng, Puay Siew Tan, Nengsheng Allan Zhang:
City Vehicle Routing Problem (City VRP): A Review. IEEE Trans. Intell. Transp. Syst. 16(4): 1654-1666 (2015) - [j64]Yoan Miche, Meng-Hiot Lim, Amaury Lendasse, Yew-Soon Ong:
Meme representations for game agents. World Wide Web 18(2): 215-234 (2015) - [c89]Yi Ding, Peilin Zhao, Steven C. H. Hoi, Yew-Soon Ong:
An Adaptive Gradient Method for Online AUC Maximization. AAAI 2015: 2568-2574 - [c88]Abhishek Gupta, Yew-Soon Ong:
An evolutionary algorithm with adaptive scalarization for multiobjective bilevel programs. CEC 2015: 1636-1642 - [c87]Stephanus Daniel Handoko, Hoong Chuin Lau, Abhishek Gupta, Yew-Soon Ong, Chen Kim Heng, Puay Siew Tan:
Solving multi-vehicle profitable tour problem via knowledge adoption in evolutionary bi-level programming. CEC 2015: 2713-2720 - [c86]Haiyan Yin, Linbo Luo, Wentong Cai, Yew-Soon Ong, Jinghui Zhong:
A data-driven approach for online adaptation of game difficulty. CIG 2015: 146-153 - [c85]Qing Guo, Chen Kim Heng, Yin-Leng Theng, Yew-Soon Ong, Puay Siew Tan:
Offline time-sensitive travel time estimation in an urban road network. IEEM 2015: 848-852 - [c84]Yew-Soon Ong:
Towards Evolutionary Multitasking: A New Paradigm. SoICT 2015: 2 - 2014
- [j63]Yiteng Zhai, Yew-Soon Ong, Ivor W. Tsang:
The Emerging ?Big Dimensionality? IEEE Comput. Intell. Mag. 9(3): 14-26 (2014) - [j62]Siwei Jiang, Jie Zhang, Yew-Soon Ong:
Multiobjective optimization based on reputation. Inf. Sci. 286: 125-146 (2014) - [j61]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Comput. 6(1): 1-2 (2014) - [j60]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Comput. 6(2): 75-76 (2014) - [j59]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Comput. 6(4): 213-214 (2014) - [j58]Siwei Jiang, Yew-Soon Ong, Jie Zhang, Liang Feng:
Consistencies and Contradictions of Performance Metrics in Multiobjective Optimization. IEEE Trans. Cybern. 44(12): 2391-2404 (2014) - [c83]Siwei Jiang, Jie Zhang, Yew-Soon Ong:
A pheromone-based traffic management model for vehicle re-routing and traffic light control. AAMAS 2014: 1479-1480 - [c82]Ahmed Kattan, Michael Kampouridis, Yew-Soon Ong, Khalid Mehamdi:
Transformation of input space using statistical moments: EA-based approach. IEEE Congress on Evolutionary Computation 2014: 2499-2506 - [c81]Jesada Kajornrit, Kevin Kok Wai Wong, Lance Chun Che Fung, Yew-Soon Ong:
An integrated intelligent technique for monthly rainfall time series prediction. FUZZ-IEEE 2014: 1632-1639 - 2013
- [j57]Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong, Stephanus Daniel Handoko, Chee Keong Kwoh, H. Y. Man:
Discovering Unique, Low-Energy Transition States Using Evolutionary Molecular Memetic Computing. IEEE Comput. Intell. Mag. 8(3): 54-63 (2013) - [j56]Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Yaochu Jin, Bernhard Sendhoff:
Evolution by Adapting Surrogates. Evol. Comput. 21(2): 313-340 (2013) - [j55]Erik Cambria, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi-Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C. M. Leung, Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona, Rui Nian, Yoan Miche, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi, Xuefeng Yang, Kezhi Mao, Beom-Seok Oh, Je-Hyoung Jeon, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim, Hanchao Yu, Yiqiang Chen, Junfa Liu:
Extreme Learning Machines. IEEE Intell. Syst. 28(6): 30-59 (2013) - [j54]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Comput. 5(1): 1-2 (2013) - [j53]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Comput. 5(2): 81-82 (2013) - [j52]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Comput. 5(3): 163-164 (2013) - [j51]Ee-May Kan, Meng-Hiot Lim, Yew-Soon Ong, Ah-Hwee Tan, Swee-Ping Yeo:
Extreme learning machine terrain-based navigation for unmanned aerial vehicles. Neural Comput. Appl. 22(3-4): 469-477 (2013) - [j50]Chun-Wei Seah, Yew-Soon Ong, Ivor W. Tsang:
Combating Negative Transfer From Predictive Distribution Differences. IEEE Trans. Cybern. 43(4): 1153-1165 (2013) - [j49]Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong:
Transfer Ordinal Label Learning. IEEE Trans. Neural Networks Learn. Syst. 24(11): 1863-1876 (2013) - [c80]Siwei Jiang, Jie Zhang, Yew-Soon Ong:
An evolutionary model for constructing robust trust networks. AAMAS 2013: 813-820 - [c79]Xuefeng Chen, Yifeng Zeng, Yew-Soon Ong, Choon Sing Ho, Yanping Xiang:
A study on like-attracts-like versus elitist selection criterion for human-like social behavior of memetic mulitagent systems. IEEE Congress on Evolutionary Computation 2013: 1635-1642 - [c78]Ahmed Kattan, Yew-Soon Ong, Edgar Galván López:
Multi-agent multi-issue negotiations with incomplete information: A Genetic Algorithm based on discrete surrogate approach. IEEE Congress on Evolutionary Computation 2013: 2556-2563 - [c77]Jacek Mandziuk, Yew-Soon Ong, Karol Waledzik:
Multi-game playing - A challenge for computational intelligence. CIHLI 2013: 17-24 - [c76]Ge Zhang, Yonggang Wen, Yew-Soon Ong:
Near-optimal packet allocation algorithm for content uploading to media cloud via collaborative wireless network. ICNC 2013: 762-767 - [c75]Xianshun Chen, Yew-Soon Ong, Puay Siew Tan, NengSheng Zhang, Zhengping Li:
Agent-Based Modeling and Simulation for Supply Chain Risk Management - A Survey of the State-of-the-Art. SMC 2013: 1294-1299 - [c74]Zhengping Li, Puay Siew Tan, Qi Ming Gabriel Yee, Quoc Chinh Nguyen, Yew-Soon Ong, Xianshun Chen:
A Review of Complex Systems Technologies for Supply Chain Risk Management. SMC 2013: 2783-2789 - [c73]Quoc Chinh Nguyen, Zhengping Li, Puay Siew Tan, Xianshun Chen, Yew-Soon Ong:
An Agent-Based Simulation to Quantify and Analyze Bullwhip Effects in Supply Chains. SMC 2013: 4528-4532 - 2012
- [j48]Minh Nghia Le, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
A Unified Framework for Symbiosis of Evolutionary Mechanisms with Application to Water Clusters Potential Model Design. IEEE Comput. Intell. Mag. 7(1): 20-35 (2012) - [j47]Mostafa Mostafa Hashim Ellabaan, Stephanus Daniel Handoko, Yew-Soon Ong, Chee Keong Kwoh, S. A. Bahnassy, F. M. Elassawy, H. Y. Man:
A tree-structured covalent-bond-driven molecular memetic algorithm for optimization of ring-deficient molecules. Comput. Math. Appl. 64(12): 3792-3804 (2012) - [j46]Xianshun Chen, Liang Feng, Yew-Soon Ong:
A self-adaptive memeplexes robust search scheme for solving stochastic demands vehicle routing problem. Int. J. Syst. Sci. 43(7): 1347-1366 (2012) - [j45]Giovanni Iacca, Ferrante Neri, Ernesto Mininno, Yew-Soon Ong, Meng-Hiot Lim:
Ockham's Razor in memetic computing: Three stage optimal memetic exploration. Inf. Sci. 188: 17-43 (2012) - [j44]Meng-Hiot Lim, Natalio Krasnogor, Yew-Soon Ong, Steven M. Gustafson:
Editorial. Memetic Comput. 4(1): 1-2 (2012) - [j43]Stephanus Daniel Handoko, Xuchang Ouyang, Chinh Tran To Su, Chee Keong Kwoh, Yew-Soon Ong:
QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization. IEEE ACM Trans. Comput. Biol. Bioinform. 9(5): 1266-1272 (2012) - [j42]Stephanus Daniel Handoko, Xuchang Ouyang, Chinh Tran To Su, Chee Keong Kwoh, Yew-Soon Ong:
Erratum to "QuickVina: Accelerating AutoDock Vina Using Gradient-Based Heuristics for Global Optimization". IEEE ACM Trans. Comput. Biol. Bioinform. 9(6): 1853 (2012) - [j41]Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong:
Transductive Ordinal Regression. IEEE Trans. Neural Networks Learn. Syst. 23(7): 1074-1086 (2012) - [j40]Xianshun Chen, Yew-Soon Ong:
A Conceptual Modeling of Meme Complexes in Stochastic Search. IEEE Trans. Syst. Man Cybern. Part C 42(5): 612-625 (2012) - [c72]Siwei Jiang, Jie Zhang, Yew-Soon Ong:
A multiagent evolutionary framework based on trust for multiobjective optimization. AAMAS 2012: 299-306 - [c71]Yilin Kang, Budhitama Subagdja, Ah-Hwee Tan, Yew-Soon Ong, Chunyan Miao:
Virtual characters in agent-augmented co-space (demonstration). AAMAS 2012: 1465-1466 - [c70]Liang Feng, Yew-Soon Ong, Ivor Wai-Hung Tsang, Ah-Hwee Tan:
An evolutionary search paradigm that learns with past experiences. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c69]Hsueh En Huang, Yew-Soon Ong, Xianshun Chen:
Autonomous flock brush for non-photorealistic rendering. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c68]Minh Nghia Le, Yew-Soon Ong, Stefan Menzel, Chun-Wei Seah, Bernhard Sendhoff:
Multi co-objective evolutionary optimization: Cross surrogate augmentation for computationally expensive problems. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c67]Chun-Wei Seah, Yew-Soon Ong, Ivor W. Tsang, Siwei Jiang:
Pareto Rank Learning in Multi-objective Evolutionary Algorithms. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c66]Xuhui Fan, Lin Zhu, Longbing Cao, Xia Cui, Yew-Soon Ong:
Maximum margin clustering on evolutionary data. CIKM 2012: 625-634 - [c65]Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong:
Experiences on memetic computation for locating transition states in biochemical applications. GECCO (Companion) 2012: 623-624 - [c64]A. Kai Qin, Federico Raimondo, Florence Forbes, Yew-Soon Ong:
An improved CUDA-based implementation of differential evolution on GPU. GECCO 2012: 991-998 - [c63]Chun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong, Qi Mao:
Learning Target Predictive Function without Target Labels. ICDM 2012: 1098-1103 - [c62]Yiteng Zhai, Mingkui Tan, Ivor W. Tsang, Yew-Soon Ong:
Discovering Support and Affiliated Features from Very High Dimensions. ICML 2012 - [c61]Choon Sing Ho, Yew-Soon Ong, Xianshun Chen, Ah-Hwee Tan:
FAME, Soft Flock Formation Control for Collective Behavior Studies and Rapid Games Development. SEAL 2012: 258-269 - [e6]Lam Thu Bui, Yew-Soon Ong, Nguyen Xuan Hoai, Hisao Ishibuchi, Ponnuthurai Nagaratnam Suganthan:
Simulated Evolution and Learning - 9th International Conference, SEAL 2012, Hanoi, Vietnam, December 16-19, 2012. Proceedings. Lecture Notes in Computer Science 7673, Springer 2012, ISBN 978-3-642-34858-7 [contents] - [i2]Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Ivor Wai-Hung Tsang:
Meme as Building Block for Evolutionary Optimization of Problem Instances. CoRR abs/1207.0702 (2012) - 2011
- [j39]Ah-Hwee Tan, Yew-Soon Ong, Akejariyawong Tapanuj:
A hybrid agent architecture integrating desire, intention and reinforcement learning. Expert Syst. Appl. 38(7): 8477-8487 (2011) - [j38]William-Chandra Tjhi, Gary Kee Khoon Lee, Terence Hung, Ivor Wai-Hung Tsang, Yew-Soon Ong, Frédéric Bard, Victor Racine:
Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study. Int. J. Comput. Biol. Drug Des. 4(2): 194-215 (2011) - [j37]Heiko Aydt, Stephen John Turner, Wentong Cai, Malcolm Yoke Hean Low, Yew-Soon Ong, Rassul Ayani:
Toward an Evolutionary Computing Modeling Language. IEEE Trans. Evol. Comput. 15(2): 230-247 (2011) - [j36]Yew-Soon Ong, Kay Chen Tan:
Guest Editorial. IEEE Trans. Evol. Comput. 15(5): 589-590 (2011) - [j35]Xianshun Chen, Yew-Soon Ong, Meng-Hiot Lim, Kay Chen Tan:
A Multi-Facet Survey on Memetic Computation. IEEE Trans. Evol. Comput. 15(5): 591-607 (2011) - [c60]Siwei Jiang, Jie Zhang, Yew-Soon Ong:
Asymmetric Pareto-adaptive Scheme for Multiobjective Optimization. Australasian Conference on Artificial Intelligence 2011: 351-360 - [c59]Chi Keong Goh, Dudy Lim, Learning Ma, Yew-Soon Ong, Partha Sarathi Dutta:
A surrogate-assisted memetic co-evolutionary algorithm for expensive constrained optimization problems. IEEE Congress on Evolutionary Computation 2011: 744-749 - [c58]Liang Feng, Yew-Soon Ong, Ah-Hwee Tan, Xianshun Chen:
Towards human-like social multi-agents with memetic automaton. IEEE Congress on Evolutionary Computation 2011: 1092-1099 - [c57]Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Jonathan H. Chan:
Classification-assisted memetic algorithms for solving optimization problems with restricted equality constraint function mapping. IEEE Congress on Evolutionary Computation 2011: 1209-1216 - [c56]Chun-Wei Seah, Ivor Wai-Hung Tsang, Yew-Soon Ong:
Healing Sample Selection Bias by Source Classifier Selection. ICDM 2011: 577-586 - [c55]Siwei Jiang, Zhihua Cai, Jie Zhang, Yew-Soon Ong:
Multiobjective optimization by decomposition with Pareto-adaptive weight vectors. ICNC 2011: 1260-1264 - [c54]Manoranjan Dash, Yew-Soon Ong:
RELIEF-C: Efficient Feature Selection for Clustering over Noisy Data. ICTAI 2011: 869-872 - [c53]Li Qin Song, Meng-Hiot Lim, Yew-Soon Ong:
Neural meta-memes framework for managing search algorithms in combinatorial optimization. Memetic Computing 2011: 37-42 - [i1]Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong:
Transductive Ordinal Regression. CoRR abs/1102.2808 (2011) - 2010
- [j34]Yew-Soon Ong, Meng-Hiot Lim, Xianshun Chen:
Memetic Computation - Past, Present & Future [Research Frontier]. IEEE Comput. Intell. Mag. 5(2): 24-31 (2010) - [j33]Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong:
An investigation on noise-induced features in robust evolutionary multi-objective optimization. Expert Syst. Appl. 37(8): 5960-5980 (2010) - [j32]Ah-Hwee Tan, Yu-Hong Feng, Yew-Soon Ong:
A self-organizing neural architecture integrating desire, intention and reinforcement learning. Neurocomputing 73(7-9): 1465-1477 (2010) - [j31]Zexuan Zhu, Yew-Soon Ong, Jacek M. Zurada:
Identification of Full and Partial Class Relevant Genes. IEEE ACM Trans. Comput. Biol. Bioinform. 7(2): 263-277 (2010) - [j30]Dudy Lim, Yaochu Jin, Yew-Soon Ong, Bernhard Sendhoff:
Generalizing Surrogate-Assisted Evolutionary Computation. IEEE Trans. Evol. Comput. 14(3): 329-355 (2010) - [j29]Harold Soh, Yew-Soon Ong, Quoc Chinh Nguyen, Quang Huy Nguyen, Mohamed Salahuddin Habibullah, Terence Hung, Jer-Lai Kuo:
Discovering Unique, Low-Energy Pure Water Isomers: Memetic Exploration, Optimization, and Landscape Analysis. IEEE Trans. Evol. Comput. 14(3): 419-437 (2010) - [j28]Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong:
Feasibility Structure Modeling: An Effective Chaperone for Constrained Memetic Algorithms. IEEE Trans. Evol. Comput. 14(5): 740-758 (2010) - [c52]Stephanus Daniel Handoko, Chinh Tran To Su, Chee Keong Kwoh, Yew-Soon Ong:
Structural analysis of (TCR - )HLA/peptide complexes: An initial study. BIBM Workshops 2010: 63-66 - [c51]William-Chandra Tjhi, Gary Kee Khoon Lee, Terence Hung, Yew-Soon Ong, Ivor Wai-Hung Tsang, Victor Racine, Frédéric Bard:
Clustering-based methodology with minimal user supervision for displaying cell-phenotype signatures in image-based screening. BIBM Workshops 2010: 252-257 - [c50]Liang Feng, Yew-Soon Ong, Quang Huy Nguyen, Ah-Hwee Tan:
Towards probabilistic memetic algorithm: An initial study on capacitated arc routing problem. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c49]Dudy Lim, Yew-Soon Ong, Rachman Setiawan, Muhammad Idris:
Classifier-assisted constrained evolutionary optimization for automated geometry selection of orthodontic retraction spring. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c48]Zin-Yan Chua, Yilin Kang, Xing Jiang, Kah-Hoe Pang, Andrew C. Gregory, Chi-Yun Tan, Wai-Lun Wong, Ah-Hwee Tan, Yew-Soon Ong, Chunyan Miao:
Youth Olympic Village Co-space. CW 2010: 200-207 - [c47]Choon Sing Ho, Quang Huy Nguyen, Yew-Soon Ong, Xianshun Chen:
Autonomous Multi-agents in Flexible Flock Formation. MIG 2010: 375-385 - [c46]Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong, Gary Kee Khoon Lee:
Predictive Distribution Matching SVM for Multi-domain Learning. ECML/PKDD (1) 2010: 231-247 - [c45]Li Qin Song, Meng-Hiot Lim, Yew-Soon Ong:
Neural Meta-Memes Framework for Combinatorial Optimization. SEMCCO 2010: 198-205 - [e5]Jonathan H. Chan, Yew-Soon Ong, Sung-Bae Cho:
Computational Systems-Biology and Bioinformatics - First International Conference, CSBio 2010, Bangkok, Thailand, November 3-5, 2010. Proceedings. Communications in Computer and Information Science 115, Springer 2010, ISBN 978-3-642-16749-2 [contents]
2000 – 2009
- 2009
- [j27]Quang Huy Nguyen, Yew-Soon Ong, Meng-Hiot Lim, Natalio Krasnogor:
Adaptive Cellular Memetic Algorithms. Evol. Comput. 17(2): 231-256 (2009) - [j26]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial to the first issue. Memetic Comput. 1(1): 1-2 (2009) - [j25]Ryan J. Meuth, Meng-Hiot Lim, Yew-Soon Ong, Donald C. Wunsch:
A proposition on memes and meta-memes in computing for higher-order learning. Memetic Comput. 1(2): 85-100 (2009) - [j24]Meng-Hiot Lim, Steven M. Gustafson, Natalio Krasnogor, Yew-Soon Ong:
Editorial. Memetic Comput. 1(3): 173-174 (2009) - [j23]Minh Nghia Le, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
Lamarckian memetic algorithms: local optimum and connectivity structure analysis. Memetic Comput. 1(3): 175-190 (2009) - [j22]Yew-Soon Ong, Meng-Hiot Lim, Ferrante Neri, Hisao Ishibuchi:
Special issue on emerging trends in soft computing: memetic algorithms. Soft Comput. 13(8-9): 739-740 (2009) - [j21]Quang Huy Nguyen, Yew-Soon Ong, Meng-Hiot Lim:
A Probabilistic Memetic Framework. IEEE Trans. Evol. Comput. 13(3): 604-623 (2009) - [c44]Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong:
Classification-Assisted Memetic Algorithms for Equality-Constrained Optimization Problems. Australasian Conference on Artificial Intelligence 2009: 391-400 - [c43]Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong, Meng-Hiot Lim, Jer-Lai Kuo:
Finding multiple first order saddle points using a valley adaptive clearing genetic algorithm. CIRA 2009: 457-462 - [c42]Mostafa Mostafa Hashim Ellabaan, Yew-Soon Ong:
Valley-Adaptive Clearing Scheme for Multimodal Optimization Evolutionary Search. ISDA 2009: 1-6 - 2008
- [j20]Yew-Soon Ong, Kai Yew Lum, Prasanth B. Nair:
Hybrid evolutionary algorithm with Hermite radial basis function interpolants for computationally expensive adjoint solvers. Comput. Optim. Appl. 39(1): 97-119 (2008) - [j19]Hai-Jun Rong, Yew-Soon Ong, Ah-Hwee Tan, Zexuan Zhu:
A fast pruned-extreme learning machine for classification problem. Neurocomputing 72(1-3): 359-366 (2008) - [j18]Kwee Kim Lim, Yew-Soon Ong, Meng-Hiot Lim, Xianshun Chen, Amit Agarwal:
Hybrid ant colony algorithms for path planning in sparse graphs. Soft Comput. 12(10): 981-994 (2008) - [j17]Kiam Tian Seow, Kwang Mong Sim, Yew-Soon Ong, E. P. Sulaiman:
A BDI Assignment Protocol With New Cooperative-Concession Strategies. IEEE Trans. Syst. Man Cybern. Part A 38(3): 688-697 (2008) - [c41]Yiliang Xu, Meng-Hiot Lim, Yew-Soon Ong:
Automatic configuration of metaheuristic algorithms for complex combinatorial optimization problems. IEEE Congress on Evolutionary Computation 2008: 2380-2387 - [c40]Boyang Li, Yew-Soon Ong, Minh Nghia Le, Chi Keong Goh:
Memetic Gradient Search. IEEE Congress on Evolutionary Computation 2008: 2894-2901 - [c39]Chi Keong Goh, Yew-Soon Ong, Kay Chen Tan, Eu Jin Teoh:
An investigation on evolutionary gradient search for multi-objective optimization. IEEE Congress on Evolutionary Computation 2008: 3741-3746 - [c38]Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Meng-Hiot Lim:
A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients. IEEE Congress on Evolutionary Computation 2008: 4031-4038 - [c37]Quang Huy Nguyen, Yew-Soon Ong, Meng-Hiot Lim:
Non-genetic transmission of memes by diffusion. GECCO 2008: 1017-1024 - [c36]Minh Nghia Le, Yew-Soon Ong, Quang Huy Nguyen:
Optinformatics for schema analysis of binary genetic algorithms. GECCO 2008: 1121-1122 - [c35]Anh-Duc Do, Siu-Yeung Cho, Yew-Soon Ong:
A Multi-Objective Memetic Algorithm Based Clustering Method. IC-AI 2008: 881-887 - [c34]Minh Nghia Le, Yew-Soon Ong:
A Frequent Pattern Mining Algorithm for Understanding Genetic Algorithms. ICIC (2) 2008: 131-139 - [c33]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
Evolutionary Optimization with Dynamic Fidelity Computational Models. ICIC (2) 2008: 235-242 - [c32]Hai-Jun Rong, Guang-Bin Huang, Yew-Soon Ong:
Extreme learning machine for multi-categories classification applications. IJCNN 2008: 1709-1713 - [c31]Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong:
Using classification for constrained memetic algorithm: A new paradigm. SMC 2008: 547-552 - 2007
- [j16]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee:
Efficient Hierarchical Parallel Genetic Algorithms using Grid computing. Future Gener. Comput. Syst. 23(4): 658-670 (2007) - [j15]Zexuan Zhu, Yew-Soon Ong, Manoranjan Dash:
Markov blanket-embedded genetic algorithm for gene selection. Pattern Recognit. 40(11): 3236-3248 (2007) - [j14]Jing Tang, Meng-Hiot Lim, Yew-Soon Ong:
Diversity-adaptive parallel memetic algorithm for solving large scale combinatorial optimization problems. Soft Comput. 11(9): 873-888 (2007) - [j13]Zongzhao Zhou, Yew-Soon Ong, Meng-Hiot Lim, Bu-Sung Lee:
Memetic algorithm using multi-surrogates for computationally expensive optimization problems. Soft Comput. 11(10): 957-971 (2007) - [j12]Ferrante Neri, Jari Toivanen, Giuseppe Leonardo Cascella, Yew-Soon Ong:
An Adaptive Multimeme Algorithm for Designing HIV Multidrug Therapies. IEEE ACM Trans. Comput. Biol. Bioinform. 4(2): 264-278 (2007) - [j11]Yew-Soon Ong, Natalio Krasnogor, Hisao Ishibuchi:
Special Issue on Memetic Algorithms. IEEE Trans. Syst. Man Cybern. Part B 37(1): 2-5 (2007) - [j10]Zongzhao Zhou, Yew-Soon Ong, Prasanth B. Nair, Andy J. Keane, Kai Yew Lum:
Combining Global and Local Surrogate Models to Accelerate Evolutionary Optimization. IEEE Trans. Syst. Man Cybern. Part C 37(1): 66-76 (2007) - [j9]Zexuan Zhu, Yew-Soon Ong, Manoranjan Dash:
Wrapper-Filter Feature Selection Algorithm Using a Memetic Framework. IEEE Trans. Syst. Man Cybern. Part B 37(1): 70-76 (2007) - [c30]Mohamed Salahuddin, Terence Hung, Harold Soh, Endang Sulaiman, Yew-Soon Ong, Bu-Sung Lee, Ren Yunxia:
Grid-based PSE for Engineering of Materials (GPEM). CCGRID 2007: 309-316 - [c29]Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong:
Noise-induced features in robust multi-objective optimization problems. IEEE Congress on Evolutionary Computation 2007: 568-575 - [c28]Quang Huy Nguyen, Yew-Soon Ong, Natalio Krasnogor:
A study on the design issues of Memetic Algorithm. IEEE Congress on Evolutionary Computation 2007: 2390-2397 - [c27]Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, L. Q. Song:
Hierarchical model parallel memetic algorithm in heterogeneous computing environment. IEEE Congress on Evolutionary Computation 2007: 2758-2765 - [c26]Harold Soh, Yew-Soon Ong, Mohamed Salahuddin, Terence Hung, Bu-Sung Lee:
Playing in the Objective Space: Coupled Approximators for Multi-Objective Optimization. MCDM 2007: 325-332 - [c25]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation. GECCO 2007: 1288-1295 - [c24]Zexuan Zhu, Yew-Soon Ong:
Memetic Algorithms for Feature Selection on Microarray Data. ISNN (1) 2007: 1327-1335 - [p2]Ju Hui Li, Meng-Hiot Lim, Yew-Soon Ong, Qi Cao:
Evolvable Fuzzy Scheduling Scheme for Multiple-ChannelPacket Switching Network. Evolutionary Scheduling 2007: 383-403 - [p1]Dudy Lim, Yew-Soon Ong, Meng-Hiot Lim, Yaochu Jin:
Single/Multi-objective Inverse Robust Evolutionary Design Methodology in the Presence of Uncertainty. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 437-456 - [e4]Shengxiang Yang, Yew-Soon Ong, Yaochu Jin:
Evolutionary Computation in Dynamic and Uncertain Environments. Studies in Computational Intelligence 51, Springer 2007, ISBN 978-3-540-49772-1 [contents] - 2006
- [j8]Shengxiang Yang, Yew-Soon Ong, Yaochu Jin:
Editorial to special issue on evolutionary computation in dynamic and uncertain environments. Genet. Program. Evolvable Mach. 7(4): 293-294 (2006) - [j7]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff, Bu-Sung Lee:
Inverse multi-objective robust evolutionary design. Genet. Program. Evolvable Mach. 7(4): 383-404 (2006) - [j6]Chee-Wee Thomas Yeu, Meng-Hiot Lim, Guang-Bin Huang, Amit Agarwal, Yew-Soon Ong:
A new machine learning paradigm for terrain reconstruction. IEEE Geosci. Remote. Sens. Lett. 3(3): 382-386 (2006) - [j5]Yew-Soon Ong, Prasanth B. Nair, Kai Yew Lum:
Max-min surrogate-assisted evolutionary algorithm for robust design. IEEE Trans. Evol. Comput. 10(4): 392-404 (2006) - [j4]Qi Cao, Meng-Hiot Lim, Ju Hui Li, Yew-Soon Ong, Willie Ng:
A context switchable fuzzy inference chip. IEEE Trans. Fuzzy Syst. 14(4): 552-567 (2006) - [j3]Yew-Soon Ong, Meng-Hiot Lim, Ning Zhu, Kok Wai Wong:
Classification of adaptive memetic algorithms: a comparative study. IEEE Trans. Syst. Man Cybern. Part B 36(1): 141-152 (2006) - [c23]Bu-Sung Lee, Ming Tang, Junwei Zhang, Yew-Soon Ong, Cindy Zheng, Peter W. Arzberger, David Abramson:
Analysis of Jobs in a Multi-Organizational Grid Test-bed. CCGRID 2006: 59 - [c22]Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendhoff:
Trusted Evolutionary Algorithm. IEEE Congress on Evolutionary Computation 2006: 149-156 - [c21]Yew-Soon Ong, Zongzhao Zhou, Dudy Lim:
Curse and Blessing of Uncertainty in Evolutionary Algorithm Using Approximation. IEEE Congress on Evolutionary Computation 2006: 2928-2935 - [c20]Jing Tang, Meng-Hiot Lim, Yew-Soon Ong:
Adaptation for parallel memetic algorithm based on population entropy. GECCO 2006: 575-582 - [c19]Yiliang Xu, Meng-Hiot Lim, Yew-Soon Ong, Jing Tang:
A GA-ACO-local search hybrid algorithm for solving quadratic assignment problem. GECCO 2006: 599-606 - [c18]Narendra S. Chaudhari, Yew-Soon Ong, V. Trivedi:
Computational Capabilities of Soft-Computing Frameworks: An Overview. ICARCV 2006: 1-6 - [c17]Stephanus Daniel Handoko, Chee Keong Kwoh, Yew-Soon Ong, Guanglan Zhang, Vladimir Brusic:
Extreme Learning Machine for Predicting HLA-Peptide Binding. ISNN (2) 2006: 716-721 - 2005
- [c16]Quoc-Thuan Ho, Wentong Cai, Yew-Soon Ong:
Design and implementation of an efficient multi-cluster GridRPC system. CCGRID 2005: 358-365 - [c15]Zongzhao Zhou, Yew-Soon Ong, My Hanh Nguyen, Dudy Lim:
A study on polynomial regression and Gaussian process global surrogate model in hierarchical surrogate-assisted evolutionary algorithm. Congress on Evolutionary Computation 2005: 2832-2839 - [c14]Kok Wai Wong, Chun Che Fung, Yew-Soon Ong, Tamás D. Gedeon:
Reservoir Characterization Using Support Vector Machines. CIMCA/IAWTIC 2005: 354-359 - [c13]Hee-Khiang Ng, Yew-Soon Ong, Terence Hung, Bu-Sung Lee:
Grid Enabled Optimization. EGC 2005: 296-304 - [c12]Dudy Lim, Yew-Soon Ong, Bu-Sung Lee:
Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty. GECCO Workshops 2005: 55-62 - [c11]Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo Er:
Solving large scale combinatorial optimization using PMA-SLS. GECCO 2005: 621-628 - [c10]Hee-Khiang Ng, Dudy Lim, Yew-Soon Ong, Bu-Sung Lee, Lars Freund, Shuja Parvez, Bernhard Sendhoff:
A Multi-cluster Grid Enabled Evolution Framework for Aerodynamic Airfoil Design Optimization. ICNC (2) 2005: 1112-1121 - [e3]Lipo Wang, Ke Chen, Yew-Soon Ong:
Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I. Lecture Notes in Computer Science 3610, Springer 2005, ISBN 3-540-28323-4 [contents] - [e2]Lipo Wang, Ke Chen, Yew-Soon Ong:
Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II. Lecture Notes in Computer Science 3611, Springer 2005, ISBN 3-540-28325-0 [contents] - [e1]Lipo Wang, Ke Chen, Yew-Soon Ong:
Advances in Natural Computation, First International Conference, ICNC 2005, Changsha, China, August 27-29, 2005, Proceedings, Part III. Lecture Notes in Computer Science 3612, Springer 2005, ISBN 3-540-28320-X [contents] - 2004
- [j2]Ning Zhu, Yew-Soon Ong, Kok Wai Wong, Kiam Tian Seow:
Using Memetic Algorithms for Fuzzy Modelling. Aust. J. Intell. Inf. Process. Syst. 8(3): 147-154 (2004) - [j1]Yew-Soon Ong, Andy J. Keane:
Meta-Lamarckian learning in memetic algorithms. IEEE Trans. Evol. Comput. 8(2): 99-110 (2004) - [c9]See-Kiong Ng, Zexuan Zhu, Yew-Soon Ong:
Whole-Genome Functional Classification of Genes by Latent Semantic Analysis on Microarray Data. APBC 2004: 123-129 - [c8]Zongzhao Zhou, Yew-Soon Ong, Prasanth B. Nair:
Hierarchical surrogate-assisted evolutionary optimization framework. IEEE Congress on Evolutionary Computation 2004: 1586-1593 - [c7]Wenbin Song, Yew-Soon Ong, Hee-Khiang Ng, Andy J. Keane, Simon J. Cox, Bu-Sung Lee:
A service-oriented approach for aerodynamic shape optimisation across institutional boundaries. ICARCV 2004: 2274-2279 - [c6]Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, Meng Joo Er:
Study of migration topology in island model parallel hybrid-GA for large scale quadratic assignment problems. ICARCV 2004: 2286-2291 - [c5]Quoc-Thuan Ho, Yew-Soon Ong, Wentong Cai, Hee-Khiang Ng, Bu-Sung Lee:
GAD Kit - A Toolkit for "Gridifying" Applications. PDCAT 2004: 868-871 - 2003
- [c4]Yew-Soon Ong, Kai Yew Lum, Prasanth B. Nair, Daming Shi, Z. K. Zhang:
Global convergence of unconstrained and bound constrained surrogate-assisted evolutionary search in aerodynamic shape design. IEEE Congress on Evolutionary Computation 2003: 1856-1863 - [c3]Jing Tang, Meng-Hiot Lim, Yew-Soon Ong:
A parallel hybrid GA for combinatorial optimization using grid technology. IEEE Congress on Evolutionary Computation 2003: 1895-1902 - [c2]Quoc-Thuan Ho, Yew-Soon Ong, Wentong Cai:
"Gridifying" Aerodynamic Design Problem Using GridRPC. GCC (1) 2003: 83-90 - [c1]Daming Shi, Yew-Soon Ong, Eng Chong Tan:
Handwritten Chinese character recognition using kernel active handwriting model. SMC 2003: 251-255 - 2002
- [b1]Yew-Soon Ong:
Artificial intelligence technologies in complex engineering design. University of Southampton, UK, 2002
Coauthor Index
Jonathan M. Garibaldi
aka: Jon Garibaldi
aka: Jon Garibaldi
Chi Keong Goh
aka: Chi-Keong Goh
aka: Chi-Keong Goh
[j228] [j226] [j225] [i90] [i86] [j215] [j207] [j202] [j199] [c156] [i75] [i67] [i63] [j194] [j186] [j184] [j181] [j180] [j178] [c149] [c142] [c138] [i60] [i59] [i48] [j175] [j172] [j167] [j163] [j162] [j160] [j158] [i47] [i40] [i39] [j147] [j145] [i32] [i28] [j136] [j134] [j133] [j131] [j129] [j128] [j127] [j125] [j123] [c124] [c123] [c120] [i23] [i22] [j111] [j110] [j109] [j108] [j106] [i10] [j100] [j99] [j98] [j95] [j92] [c111] [c110] [p3] [i7] [i6] [i5] [j89] [j88] [j76] [c107] [c103] [c101] [c100] [c99] [c98] [c93] [i3] [c88] [c87]
Ivor W. Tsang
aka: Ivor Wai-Hung Tsang
aka: Ivor Wai-Hung Tsang
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For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-21 21:28 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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the dblp computer science bibliography is funded and supported by:
