| Issue Date | Title | Author(s) |
| 2022 | Adaptive transfer kernel learning for transfer Gaussian process regression | Wei, Pengfei; Ke, Yiping; Ong, Yew Soon; Ma, Zejun |
| 2023 | CPMR: context-aware incremental sequential recommendation with pseudo-multi-task learning | Bian, Qingtian; Xu, Jiaxing; Fang, Hui; Ke, Yiping |
| 2023 | Data-driven network neuroscience: on data collection and benchmark | Xu, Jiaxing; Yang, Yunhan; Huang, David Tse Jung; Gururajapathy, Sophi Shilpa; Ke, Yiping; Qiao, Miao; Wang, Alan; Kumar, Haribalan; McGeown, Josh; Kwon, Eryn |
| 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 |
| 2023 | SmooSeg: smoothness prior for unsupervised semantic segmentation | Lan, Mengcheng; Wang, Xinjiang; Ke, Yiping; Xu, Jiaxing; Feng, Litong; Zhang, Wayne |
| 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 |
| 2024 | Union subgraph neural networks | Xu, Jiaxing; Zhang, Aihu; Bian, Qingtian; Dwivedi, Vijay Prakash; Ke, Yiping |