| 2025 | ICLR | Variational Search Distributions. | Daniel M. Steinberg, Rafael Oliveira, Cheng Soon Ong, Edwin V. Bonilla |
| 2025 | ICML | Position: We Need Responsible, Application-Driven (RAD) AI Research. | Sarah Hartman, Cheng Soon Ong, Julia Powles, Petra Kuhnert |
| 2025 | WWW | Fairness Evaluation with Item Response Theory. | Ziqi Xu, Sevvandi Kandanaarachchi, Cheng Soon Ong, Eirini Ntoutsi |
| 2024 | AAAI | Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families. | Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic |
| 2023 | AISTATS | Deep equilibrium models as estimators for continuous latent variables. | Russell Tsuchida, Cheng Soon Ong |
| 2023 | ICLR | Factorized Fourier Neural Operators. | Alasdair Tran, Alexander Patrick Mathews, Lexing Xie, Cheng Soon Ong |
| 2022 | AAAI | Gaussian Process Bandits with Aggregated Feedback. | Mengyan Zhang, Russell Tsuchida, Cheng Soon Ong |
| 2022 | ICLR | Declarative nets that are equilibrium models. | Russell Tsuchida, Suk Yee Yong, Mohammad Ali Armin, Lars Petersson, Cheng Soon Ong |
| 2021 | ICML | Quantile Bandits for Best Arms Identification. | Mengyan Zhang, Cheng Soon Ong |
| 2021 | WWW | Radflow: A Recurrent, Aggregated, and Decomposable Model for Networks of Time Series. | Alasdair Tran, Alexander Patrick Mathews, Cheng Soon Ong, Lexing Xie |
| 2019 | AIES | Costs and Benefits of Fair Representation Learning. | Daniel McNamara, Cheng Soon Ong, Robert C. Williamson |
| 2019 | ICML | Monge blunts Bayes: Hardness Results for Adversarial Training. | Zac Cranko, Aditya Krishna Menon, Richard Nock, Cheng Soon Ong, Zhan Shi, Christian J. Walder |
| 2017 | RecSys | PathRec: Visual Analysis of Travel Route Recommendations. | Dawei Chen, Dongwoo Kim, Lexing Xie, Minjeong Shin, Aditya Krishna Menon, Cheng Soon Ong, Iman Avazpour, John Grundy |
| 2017 | RecSys | Revisiting revisits in trajectory recommendation. | Aditya Krishna Menon, Dawei Chen, Lexing Xie, Cheng Soon Ong |
| 2016 | CIKM | Learning Points and Routes to Recommend Trajectories. | Dawei Chen, Cheng Soon Ong, Lexing Xie |
| 2016 | CIKM | Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches. | Dongwoo Kim, Lexing Xie, Cheng Soon Ong |
| 2016 | ICML | Hawkes Processes with Stochastic Excitations. | Young Lee, Kar Wai Lim, Cheng Soon Ong |
| 2016 | ICML | Linking losses for density ratio and class-probability estimation. | Aditya Krishna Menon, Cheng Soon Ong |
| 2015 | ICML | Learning from Corrupted Binary Labels via Class-Probability Estimation. | Aditya Krishna Menon, Brendan van Rooyen, Cheng Soon Ong, Bob Williamson |
| 2015 | IJCNN | Discriminative concept learning network: Reveal high-level differential concepts from shallow architecture. | Qiao Wang, Sylvia Young, Aaron Harwood, Cheng Soon Ong |
| 2013 | ICML | Ellipsoidal Multiple Instance Learning. | Gabriel Krummenacher, Cheng Soon Ong, Joachim M. Buhmann |
| 2013 | ICMLA | Applications of Class-Conditional Conformal Predictor in Multi-class Classification. | Fan Shi, Cheng Soon Ong, Christopher Leckie |
| 2011 | ICML | Learning Output Kernels with Block Coordinate Descent. | Francesco Dinuzzo, Cheng Soon Ong, Peter V. Gehler, Gianluigi Pillonetto |
| 2010 | ICPR | The Balanced Accuracy and Its Posterior Distribution. | Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno Stephan, Joachim M. Buhmann |
| 2010 | ICPR | The Binormal Assumption on Precision-Recall Curves. | Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno Stephan, Joachim M. Buhmann |
| 2009 | ICML | Optimized expected information gain for nonlinear dynamical systems. | Alberto Giovanni Busetto, Cheng Soon Ong, Joachim M. Buhmann |
| 2008 | WABI | An Automated Combination of Kernels for Predicting Protein Subcellular Localization. | Cheng Soon Ong, Alexander Zien |
| 2007 | ICML | Multiclass multiple kernel learning. | Alexander Zien, Cheng Soon Ong |
| 2005 | ISMB | Protein function prediction via graph kernels. | Karsten M. Borgwardt, Cheng Soon Ong, Stefan Schnauer, S. V. N. Vishwanathan, Alexander J. Smola, Hans-Peter Kriegel |
| 2004 | ICML | Learning with non-positive kernels. | Cheng Soon Ong, Xavier Mary, Stphane Canu, Alexander J. Smola |
| 2003 | ICML | Machine Learning with Hyperkernels. | Cheng Soon Ong, Alexander J. Smola |
| 1999 | IJCNN | A comparison of artificial neural networks and cluster analysis for typing biometrics authentication. | Leenesh Kumar Maisuria, Cheng Soon Ong, Wen Kin Lai |