| Efficient and effective algorithms for clustering uncertain graphs K Han, F Gui, X Xiao, J Tang, Y He, Z Cao, H Huang Proceedings of the VLDB Endowment 12 (6), 667-680, 2019 | 33 | 2019 |
| Online pricing for mobile crowdsourcing with multi-minded users K Han, Y He, H Tan, S Tang, H Huang, J Luo Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc …, 2017 | 25 | 2017 |
| Fairegm: Fair link prediction and recommendation via emulated graph modification S Current, Y He, S Gurukar, S Parthasarathy Proceedings of the 2nd ACM Conference on Equity and Access in Algorithms …, 2022 | 13* | 2022 |
| Best bang for the buck: Cost-effective seed selection for online social networks K Han, Y He, K Huang, X Xiao, S Tang, J Xu, L Huang IEEE Transactions on Knowledge and Data Engineering 32 (12), 2297-2309, 2019 | 10* | 2019 |
| Distmile: a distributed multi-level framework for scalable graph embedding Y He, S Gurukar, P Kousha, H Subramoni, DK Panda, S Parthasarathy 2021 IEEE 28th International Conference on High Performance Computing, Data …, 2021 | 9 | 2021 |
| SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet forum migrant analysis P Maneriker, Y He, S Parthasarathy arXiv preprint arXiv:2104.00764, 2021 | 9 | 2021 |
| Budget-constrained organization of influential social events K Han, Y He, X Xiao, S Tang, F Gui, C Xu, J Luo 2018 IEEE 34th International Conference on Data Engineering (ICDE), 917-928, 2018 | 9 | 2018 |
| Organizing an influential social event under a budget constraint K Han, Y He, X Xiao, S Tang, F Gui, C Xu, J Luo IEEE Transactions on Knowledge and Data Engineering 31 (12), 2379-2392, 2018 | 5 | 2018 |
| WebMILE: democratizing network representation learning at scale Y He, Y Zhang, S Gurukar, S Parthasarathy Proceedings of the VLDB Endowment 15 (12), 2022 | 3 | 2022 |
| FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning Y He, S Gurukar, S Parthasarathy Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms …, 2023 | 2* | 2023 |
| Efficient Fair Graph Representation Learning Using a Multi-level Framework Y He, S Gurukar, S Parthasarathy Companion Proceedings of the ACM Web Conference 2023, 298-301, 2023 | 2 | 2023 |
| Differentially private and budget-limited bandit learning over matroids K Han, Y He, AX Liu, S Tang, H Huang INFORMS Journal on Computing 32 (3), 790-804, 2020 | 1 | 2020 |
| HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs Y Zhang, Y He, S Gurukar, S Parthasarathy arXiv preprint arXiv:2404.00816, 2024 | | 2024 |
Srinivasan ParthasarathyProfessor of Computer Science and Engineering, The Ohio State UniversityVerified email at cse.ohio-state.edu
