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ORCIDYew-Soon Ong
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- affiliation: Nanyang Technological University, Singapore
- affiliation (PhD 2003): University of Southampton, UK
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2020 – today
- 2021
[j162]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)- [j161]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) - [j160]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) - [j159]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) - [j158]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) - [j157]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) - [j156]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) - [j155]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) - [c128]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 - [i42]Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong:
Can Transfer Neuroevolution Tractably Solve Your Differential Equations? CoRR abs/2101.01998 (2021) - [i41]Tiantian He, Lu Bai, Yew-Soon Ong:
Graph Joint Attention Networks. CoRR abs/2102.03147 (2021) - [i40]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) - [i39]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) - [i38]Maoguo Gong, Yuan Gao, Yu Xie, A. K. Qin, Ke Pan, Yew-Soon Ong:
Multi-Party Dual Learning. CoRR abs/2104.06677 (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, M. 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) - [c127]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 - [c126]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 - [c125]Alvin Chan, Yi Tay, Yew-Soon Ong:
What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients. CVPR 2020: 329-338 - [c124]Xiaohang Zhan, Jiahao Xie, Ziwei Liu, Yew-Soon Ong, Chen Change Loy:
Online Deep Clustering for Unsupervised Representation Learning. CVPR 2020: 6687-6696 - [c123]Alvin Chan, Yi Tay, Yew-Soon Ong, Aston Zhang:
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder. EMNLP (Findings) 2020: 4175-4189 - [c122]Alvin Chan, Yi Tay, Yew-Soon Ong, Jie Fu:
Jacobian Adversarially Regularized Networks for Robustness. ICLR 2020 - [c121]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) - [c120]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 - [c119]Mojtaba Shakeri, Abhishek Gupta, Yew-Soon Ong, Xu Chi, Allan Zhang NengSheng:
Coping with Big Data in Transfer Optimization. IEEE BigData 2019: 3925-3932 - [c118]Xinghua Qu, Yew-Soon Ong, Yaqing Hou, Xiaobo Shen:
Memetic Evolution Strategy for Reinforcement Learning. CEC 2019: 1922-1928 - [c117]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 - [c116]Ray Lim, Yew-Soon Ong, Hanh Thi Hong Phan, Abhishek Gupta, Nengsheng Allan Zhang:
Can route planning be smarter with transfer optimization? GECCO (Companion) 2019: 318-319 - [c115]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) - [c114]Xiaobo Shen, Weiwei Liu, Ivor W. Tsang, Quan-Sen Sun, Yew-Soon Ong:
Compact Multi-Label Learning. AAAI 2018: 4066-4073 - [c113]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 - [c112]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 - [c111]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong:
Uncluttered Domain Sub-Similarity Modeling for Transfer Regression. ICDM 2018: 1314-1319 - [c110]Haitao Liu, Jianfei Cai, Yi Wang, Yew-Soon Ong:
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression. ICML 2018: 3137-3146 - [c109]Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor W. Tsang:
Deep Discrete Prototype Multilabel Learning. IJCAI 2018: 2675-2681 - [c108]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]