| Issue Date | Title | Author(s) |
| 2023-01-01 | Bayesian Federated Learning: A Survey | Cao, L; Chen, H; Fan, X; Gama, J; Ong, YS; Kumar, V |
| 2023-01-01 | Bayesian Federated Learning: A Survey | Cao, L; Chen, H; Fan, X; Gama, J; Ong, YS; Kumar, V |
| 2023-01-01 | Bayesian Federated Learning: A Survey | Cao, L; Chen, H; Fan, X; Gama, J; Ong, YS; Kumar, V |
| 2023-01-01 | Bayesian Federated Learning: A Survey | Cao, L; Chen, H; Fan, X; Gama, J; Ong, YS; Kumar, V |
| 2023-01-01 | Bayesian Federated Learning: A Survey | Cao, L; Chen, H; Fan, X; Gama, J; Ong, YS; Kumar, V |
| 2013-08-01 | Combating negative transfer from predictive distribution differences | Seah, CW; Ong, YS; Tsang, IW |
| 2018-01-01 | Compact multi-label learning | Shen, X; Liu, W; Tsang, IW; Sun, QS; Ong, YS |
| 2012-10-10 | Discovering support and affiliated features from very high dimensions | Zhai, Y; Tan, M; Tsang, IW; Ong, YS |
| 2019-04-01 | Domain Adaption via Feature Selection on Explicit Feature Map | Deng, WY; Lendasse, A; Ong, YS; Tsang, IWH; Chen, L; Zheng, QH |
| 2011-06-01 | Exploratory analysis of cell-based screening data for phenotype identification in drug-siRNA study | Tjhi, WC; Lee, KK; Hung, T; Tsang, IWH; Ong, YS; Bard, F; Racine, V |
| 2020-07-01 | Guest Editorial Special Issue on Structured Multi-Output Learning: Modeling, Algorithm, Theory, and Applications | Liu, W; Shen, X; Ong, YS; Tsang, IW; Gong, C; Pavlovic, V |
| 2011-12-01 | Healing sample selection bias by source classifier selection | Seah, CW; Tsang, IWH; Ong, YS |
| 2023-10-13 | Hydroxychloroquine: Key therapeutic advances and emerging nanotechnological landscape for cancer mitigation. | Low, LE; Kong, CK; Yap, W-H; Siva, SP; Gan, SH; Siew, WS; Ming, LC; Lai-Foenander, AS; Chang, SK; Lee, W-L; Wu, Y; Khaw, K-Y; Ong, YS; Tey, BT; Singh, SK; Dua, K; Chellappan, DK; Goh, B-H |
| 2012-12-01 | Learning target predictive function without target labels | Seah, CW; Tsang, IWH; Ong, YS; Mao, Q |
| 2016-09-15 | Learning word dependencies in text by means of a deep recurrent belief network | Chaturvedi, I; Ong, YS; Tsang, IW; Welsch, RE; Cambria, E |
| 2016-12-01 | Making Trillion Correlations Feasible in Feature Grouping and Selection | Zhai, Y; Ong, YS; Tsang, IW |
| 2015-10-01 | Memetic Search with Interdomain Learning: A Realization between CVRP and CARP | Feng, L; Ong, YS; Lim, MH; Tsang, IW |
| 2018-09-01 | Multilabel prediction via cross-view search | Shen, X; Liu, W; Tsang, IW; Sun, QS; Ong, YS |
| 2012-12-01 | Transductive ordinal regression | Seah, CW; Tsang, TW; Ong, YS |
| 2013-07-03 | Transfer ordinal label learning | Seah, CW; Tsang, IW; Ong, YS |
