| 2021 | AI | Product Matching Lessons and Recommendations from a Real World Application. | Jrmy Foxcroft, Tianle Chen, Kanchana Padmanabhan, Brian Keng, Luiza Antonie |
| 2019 | IJCAI | Unsupervised Embedding Enhancements of Knowledge Graphs using Textual Associations. | Neil Veira, Brian Keng, Kanchana Padmanabhan, Andreas G. Veneris |
| 2018 | ICDM | Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting. | Tianle Chen, Brian Keng, Javier Moreno |
| 2018 | ICDM | Generating Realistic Sequences of Customer-Level Transactions for Retail Datasets. | Thang Doan, Neil Veira, Brian Keng |
| 2014 | ASPDAC | Automated debugging of missing assumptions. | Brian Keng, Evean Qin, Andreas G. Veneris, Bao Le |
| 2012 | DAC | Path directed abstraction and refinement in SAT-based design debugging. | Brian Keng, Andreas G. Veneris |
| 2012 | DATE | Non-solution implications using reverse domination in a modern SAT-based debugging environment. | Bao Le, Hratch Mangassarian, Brian Keng, Andreas G. Veneris |
| 2012 | FMCAD | Automated debugging of missing input constraints in a formal verification environment. | Brian Keng, Andreas G. Veneris |
| 2011 | ASPDAC | Managing complexity in design debugging with sequential abstraction and refinement. | Brian Keng, Andreas G. Veneris |
| 2011 | ASPDAC | From RTL to silicon: The case for automated debug. | Andreas G. Veneris, Brian Keng, Sean Safarpour |
| 2011 | DATE | Automated debugging of SystemVerilog assertions. | Brian Keng, Sean Safarpour, Andreas G. Veneris |
| 2009 | FMCAD | Scaling VLSI design debugging with interpolation. | Brian Keng, Andreas G. Veneris |
| 2008 | ICCAD | A succinct memory model for automated design debugging. | Brian Keng, Hratch Mangassarian, Andreas G. Veneris |