| Path problems in temporal graphs H Wu, J Cheng, S Huang, Y Ke, Y Lu, Y Xu Proceedings of the VLDB Endowment 7 (9), 721-732, 2014 | 323 | 2014 |
| Towards visualization recommendation systems M Vartak, S Huang, T Siddiqui, S Madden, A Parameswaran Acm Sigmod Record 45 (4), 34-39, 2017 | 165 | 2017 |
| Efficient algorithms for temporal path computation H Wu, J Cheng, Y Ke, S Huang, Y Huang, H Wu IEEE Transactions on Knowledge and Data Engineering 28 (11), 2927-2942, 2016 | 137 | 2016 |
| Sample+ seek: Approximating aggregates with distribution precision guarantee B Ding, S Huang, S Chaudhuri, K Chakrabarti, C Wang Proceedings of the 2016 International Conference on Management of Data, 679-694, 2016 | 135 | 2016 |
| Principles of dataset versioning: Exploring the recreation/storage tradeoff S Bhattacherjee, A Chavan, S Huang, A Deshpande, A Parameswaran Proceedings of the VLDB endowment. International conference on very large …, 2015 | 104 | 2015 |
| TF-Label: A topological-folding labeling scheme for reachability querying in a large graph J Cheng, S Huang, H Wu, AWC Fu Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 103 | 2013 |
| Minimum spanning trees in temporal graphs S Huang, AWC Fu, R Liu Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015 | 94 | 2015 |
| A Human-in-the-loop Perspective on AutoML: Milestones and the Road Ahead DJL Lee, S Macke IEEE Data Engineering Bulletin, 2020 | 89 | 2020 |
| Navigating the data lake with datamaran: Automatically extracting structure from log datasets Y Gao, S Huang, A Parameswaran Proceedings of the 2018 International Conference on Management of Data, 943-958, 2018 | 69 | 2018 |
| OrpheusDB: bolt-on versioning for relational databases S Huang, L Xu, J Liu, AJ Elmore, A Parameswaran Proceedings of the VLDB Endowment 10 (10), 1130-1141, 2017 | 57 | 2017 |
| Temporal graph traversals: Definitions, algorithms, and applications S Huang, J Cheng, H Wu arXiv preprint arXiv:1401.1919, 2014 | 46 | 2014 |
| Frugal optimization for cost-related hyperparameters Q Wu, C Wang, S Huang Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10347 …, 2021 | 41 | 2021 |
| Towards a unified query language for provenance and versioning A Chavan, S Huang, A Deshpande, A Elmore, S Madden, ... 7th USENIX Workshop on the Theory and Practice of Provenance (TaPP 15), 2015 | 41 | 2015 |
| Economic hyperparameter optimization with blended search strategy C Wang, Q Wu, S Huang, A Saied International Conference on Learning Representations, 2021 | 31 | 2021 |
| Adaptive sampling for rapidly matching histograms S Macke, Y Zhang, S Huang, A Parameswaran arXiv preprint arXiv:1708.05918, 2017 | 25 | 2017 |
| Orpheusdb: a lightweight approach to relational dataset versioning L Xu, S Huang, SL Hui, AJ Elmore, A Parameswaran Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 25 | 2017 |
| Aggregate-query database system and processing B Ding, S Huang, C Wang, K Chakrabarti, S Chaudhuri US Patent 10,740,328, 2020 | 20 | 2020 |
| Efficient configuration selection for automated machine learning C Wang, S Huang, S Chaudhuri, B Ding US Patent App. 16/110,419, 2020 | 18 | 2020 |
| Optimally leveraging density and locality for exploratory browsing and sampling A Kim, L Xu, T Siddiqui, S Huang, S Madden, A Parameswaran Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 1-7, 2018 | 18 | 2018 |
| Efficient identification of approximate best configuration of training in large datasets S Huang, C Wang, B Ding, S Chaudhuri Proceedings of the aaai Conference on Artificial Intelligence 33 (01), 3862-3869, 2019 | 13 | 2019 |
Aditya ParameswaranAssociate Professor, UC BerkeleyGeverifieerd e-mailadres voor berkeley.edu