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| Issue Date | Title | Author(s) |
| | 2017 | An adaptive RBF-HDMR modeling approach under limited computational budget | Liu, Haitao; Hervas, Jaime-Rubio; Ong, Yew-Soon; Cai, Jianfei; Wang, Yi |
 | 2020 | Adhesive biocomposite electrodes on sweaty skin for long-term continuous electrophysiological monitoring | Yang, Hui; Ji, Shaobo; Chaturvedi, Iti; Xia, Huarong; Wang, Ting; Chen, Geng; Pan, Liang; Wan, Changjin; Qi, Dianpeng; Ong, Yew-Soon; Chen, Xiaodong |
| 2019 | AIR5 : five pillars of artificial intelligence research | Ong, Yew-Soon; Gupta, Abhishek |
| 2017 | Autoencoding evolutionary search with learning across heterogeneous problems | Feng, Liang; Ong, Yew-Soon; Jiang, Siwei; Gupta, Abhishek |
| 2019 | Back to the roots : multi-X evolutionary computation | Gupta, Abhishek; Ong, Yew-Soon |
| 2020 | Cognizant multitasking in multiobjective multifactorial evolution : MO-MFEA-II | Bali, Kavitesh Kumar; Gupta, Abhishek; Ong, Yew-Soon; Tan, Puay Siew |
| 2012 | Combating Negative Transfer From Predictive Distribution Differences | Seah, Chun-Wei; Ong, Yew-Soon; Tsang, Ivor W. |
| 2007 | Combining global and local surrogate models to accelerate evolutionary optimization | Zhou, Zongzhao; Ong, Yew-Soon; Nair, Prasanth B.; Keane, Andy J.; Lum, Kai Yew |
| | 2019 | Compressed representation for higher-level meme space evolution : a case study on big knapsack problems | Feng, Liang; Gupta, Abhishek; Ong, Yew-Soon |
| 2020 | Contextual correlation preserving multiview featured graph clustering | He, Tiantian; Liu, Yang; Ko, Tobey H.; Chan, Keith C. C.; Ong, Yew-Soon |
| | 2017 | Cope with diverse data structures in multi-fidelity modeling : a Gaussian process method | Liu, Haitao; Ong, Yew-Soon; Cai, Jianfei; Wang, Yi |
| 2018 | Curbing negative influences online for seamless transfer evolutionary optimization | Da, Bingshui; Gupta, Abhishek; Ong, Yew-Soon |
| 2018 | Domain adaption via feature selection on explicit feature map | Deng, Wan-Yu; Lendasse, Amaury; Ong, Yew-Soon; Tsang, Ivor Wai-Hung; Chen, Lin; Zheng, Qing-Hua |
| | 2019 | Domination landscape in evolutionary algorithms and its applications | Hao, Guo-Sheng; Lim, Meng-Hiot; Ong, Yew-Soon; Huang, Han; Wang, Gai-Ge |
| 2020 | Easy-but-effective domain sub-similarity learning for transfer regression | Wei, Pengfei; Sagarna, Ramon; Ke, Yiping; Ong, Yew-Soon |
| 2021 | Efficient implementation of activation functions for LSTM accelerators | Chong, Yi Sheng; Goh, Wang Ling; Ong, Yew-Soon; Nambiar, Vishnu P.; Do, Anh Tuan |
| 2014 | The Emerging "Big Dimensionality" | Zhai, Yiteng; Ong, Yew-Soon; Tsang, Ivor W. |
| 2021 | An energy-efficient convolution unit for depthwise separable convolutional neural networks | Chong, Yi Sheng; Goh, Wang Ling; Ong, Yew-Soon; Nambiar, Vishnu P.; Do, Anh Tuan |
| | 2017 | Evolutionary multi-task learning for modular knowledge representation in neural networks | Chandra, Rohitash; Gupta, Abhishek; Ong, Yew-Soon; Goh, Chi-Keong |
| 2016 | Evolutionary multitasking : a computer science view of cognitive multitasking | Ong, Yew-Soon; Gupta, Abhishek |
