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Yuntian He
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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
332019
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
252017
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
15*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
92021
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
92021
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
92018
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
52018
WebMILE: democratizing network representation learning at scale
Y He, Y Zhang, S Gurukar, S Parthasarathy
Proceedings of the VLDB Endowment 15 (12), 2022
32022
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
22023
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
12020
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
Understanding Illegal Drug Transactions over Darknet Forums
Y He, P Maneriker, S Parthasarathy
ACM SIGKDD SoCAL Day Proceedings, 2023
2023
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학술자료 1–14