| Prefix-free parsing for building big BWTs C Boucher, T Gagie, A Kuhnle, B Langmead, G Manzini, T Mun Algorithms for Molecular Biology 14, 1-15, 2019 | 76 | 2019 |
| Fast maximization of non-submodular, monotonic functions on the integer lattice A Kuhnle, JD Smith, V Crawford, M Thai International Conference on Machine Learning, 2786-2795, 2018 | 63 | 2018 |
| Profit maximization for multiple products in online social networks H Zhang, H Zhang, A Kuhnle, MT Thai IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer …, 2016 | 59 | 2016 |
| Multiplex influence maximization in online social networks with heterogeneous diffusion models A Kuhnle, MA Alim, X Li, H Zhang, MT Thai IEEE Transactions on Computational Social Systems 5 (2), 418-429, 2018 | 56 | 2018 |
| Efficient construction of a complete index for pan-genomics read alignment A Kuhnle, T Mun, C Boucher, T Gagie, B Langmead, G Manzini Journal of Computational Biology, 2020 | 51 | 2020 |
| Rate alteration attacks in smart grid S Mishra, X Li, A Kuhnle, MT Thai, J Seo 2015 IEEE Conference on Computer Communications (INFOCOM), 2353-2361, 2015 | 36 | 2015 |
| Price modification attack and protection scheme in smart grid S Mishra, X Li, T Pan, A Kuhnle, MT Thai, J Seo IEEE Transactions on Smart Grid 8 (4), 1864-1875, 2016 | 35 | 2016 |
| Hierarchical Hidden Markov models enable accurate and diverse detection of antimicrobial resistance sequences SM Lakin, A Kuhnle, B Alipanahi, NR Noyes, C Dean, M Muggli, ... Communications biology 2 (1), 294, 2019 | 30 | 2019 |
| Submodular cost submodular cover with an approximate oracle V Crawford, A Kuhnle, M Thai International Conference on Machine Learning, 1426-1435, 2019 | 30 | 2019 |
| Practical dynamic de Bruijn graphs VG Crawford, A Kuhnle, C Boucher, R Chikhi, T Gagie Bioinformatics 34 (24), 4189-4195, 2018 | 27 | 2018 |
| Scalable bicriteria algorithms for the threshold activation problem in online social networks A Kuhnle, T Pan, MA Alim, MT Thai IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017 | 27 | 2017 |
| Interlaced greedy algorithm for maximization of submodular functions in nearly linear time A Kuhnle Advances in neural information processing systems 32, 2019 | 25 | 2019 |
| Vulnerability of clustering under node failure in complex networks A Kuhnle, NP Nguyen, TN Dinh, MT Thai Social Network Analysis and Mining 7, 1-15, 2017 | 24 | 2017 |
| Detecting misinformation in online social networks before it is too late H Zhang, A Kuhnle, H Zhang, MT Thai 2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016 | 23 | 2016 |
| Quick streaming algorithms for maximization of monotone submodular functions in linear time A Kuhnle International Conference on Artificial Intelligence and Statistics, 1360-1368, 2021 | 21 | 2021 |
| Efficient construction of a complete index for pan-genomics read alignment A Kuhnle, T Mun, C Boucher, T Gagie, B Langmead, G Manzini International Conference on Research in Computational Molecular Biology, 158-173, 2019 | 16 | 2019 |
| Fight under uncertainty: Restraining misinformation and pushing out the truth H Zhang, A Kuhnle, JD Smith, MT Thai 2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018 | 16 | 2018 |
| Succinct dynamic de Bruijn graphs B Alipanahi, A Kuhnle, SJ Puglisi, L Salmela, C Boucher Bioinformatics 37 (14), 1946-1952, 2021 | 15 | 2021 |
| Best of both worlds: practical and theoretically optimal submodular maximization in parallel Y Chen, T Dey, A Kuhnle Advances in Neural Information Processing Systems 34, 25528-25539, 2021 | 13 | 2021 |
| Nearly linear-time, parallelizable algorithms for non-monotone submodular maximization A Kuhnle Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8200-8208, 2021 | 13 | 2021 |
