| Issue Date | Title | Author(s) |
 | 2022 | Adaptive transfer kernel learning for transfer Gaussian process regression | Wei, Pengfei; Ke, Yiping; Ong, Yew Soon; Ma, Zejun |
| 2017 | Digging deep into Golgi phenotypic diversity with unsupervised machine learning | Wang, Yi; Huang, Dong; Bard, Frederic; Ke, Yiping; Lee, Kee Khoon; Hussain, Shaista; Le Guezennec, Xavier; Chia, Joanne |
| 2020 | Easy-but-effective domain sub-similarity learning for transfer regression | Wei, Pengfei; Sagarna, Ramon; Ke, Yiping; Ong, Yew-Soon |
| | 2012 | Fast algorithms for maximal clique enumeration with limited memory | Cheng, James; Zhu, Linhong; Ke, Yiping; Chu, Shumo |
| | 2018 | Feature analysis of marginalized stacked denoising autoenconder for unsupervised domain adaptation | Wei, Pengfei; Ke, Yiping; Goh, Chi Keong |
| 2019 | A general domain specific feature transfer framework for hybrid domain adaptation | Wei, Pengfei; Ke, Yiping; Goh, Chi Keong |
| | 2021 | Mitigating performance saturation in neural marked point processes : architectures and loss functions | Li, Tianbo; Luo, Tianze; Ke, Yiping; Pan, Sinno Jialin |
| | 2012 | A model-based approach to attributed graph clustering | Xu, Zhiqiang; Ke, Yiping; Wang, Yi; Cheng, Hong; Cheng, James |
| 2021 | Subdomain adaptation with manifolds discrepancy alignment | Wei, Pengfei; Ke, Yiping; Qu, Xinghua; Leong, Tze-Yun |
| 2018 | Transfer Hawkes processes with content information | Li, Tianbo; Wei, Pengfei; Ke, Yiping |
| 2018 | Uncluttered domain sub-similarity modeling for transfer regression | Wei, Pengfei; Sagarna, Ramon; Ke, Yiping; Ong, Yew-Soon |
| | 2020 | A unified linear convergence analysis of k-SVD | Xu, Zhiqiang; Ke, Yiping; Cao, Xin; Zhou, Chunlai; Wei, Pengfei; Gao, Xin |
