| What bugs live in the cloud? a study of 3000+ issues in cloud systems HS Gunawi, M Hao, T Leesatapornwongsa, T Patana-Anake, T Do, ... Proceedings of the ACM symposium on cloud computing, 1-14, 2014 | 313* | 2014 |
| QBiC-Pred: quantitative predictions of transcription factor binding changes due to sequence variants V Martin, J Zhao, A Afek, Z Mielko, R Gordân Nucleic acids research 47 (W1), W127-W135, 2019 | 40 | 2019 |
| Fending off IoT-hunting attacks at home networks V Martin, Q Cao, T Benson Proceedings of the 2nd workshop on cloud-assisted networking, 67-72, 2017 | 40 | 2017 |
| eprivateeye: To the edge and beyond! C Streiffer, A Srivastava, V Orlikowski, Y Velasco, V Martin, N Raval, ... Proceedings of the Second ACM/IEEE Symposium on Edge Computing, 1-13, 2017 | 34 | 2017 |
| Pbse: A robust path-based speculative execution for degraded-network tail tolerance in data-parallel frameworks RO Suminto, CA Stuardo, A Clark, H Ke, T Leesatapornwongsa, B Fu, ... Proceedings of the 2017 Symposium on Cloud Computing, 295-308, 2017 | 28 | 2017 |
| High-throughput data and modeling reveal insights into the mechanisms of cooperative DNA-binding by transcription factor proteins V Martin, F Zhuang, Y Zhang, K Pinheiro, R Gordân Nucleic Acids Research 51 (21), 11600-11612, 2023 | 8 | 2023 |
| Manylogs: Improved CMR/SMR disk bandwidth and faster durability with scattered logs T Patana-anake, V Martin, N Sandler, C Wu, HS Gunawi 2016 32nd Symposium on Mass Storage Systems and Technologies (MSST), 1-16, 2016 | 8 | 2016 |
| Transcription factor-centric approach to identify non-recurring putative regulatory drivers in cancer J Zhao, V Martin, R Gordân International conference on research in computational molecular biology, 36-51, 2022 | 2 | 2022 |
| Deciphering the Quantitative Effects of Cooperativity and Mutations on Transcription Factor Binding V Martin Duke University, 2022 | | 2022 |