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2020 – today
- 2024
[i7]Yue Zhang, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs. CoRR abs/2404.00816 (2024)- [i6]Pranav Maneriker, Aditya Vadlamani, Anutam Srinivasan, Yuntian He, Ali Payani, Srinivasan Parthasarathy:
Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights. CoRR abs/2409.18332 (2024) - 2023
- [c9]Yuntian He
, Saket Gurukar, Srinivasan Parthasarathy:
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning. EAAMO 2023: 11:1-11:10 - [c8]Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
Efficient Fair Graph Representation Learning Using a Multi-level Framework. WWW (Companion Volume) 2023: 298-301 - 2022
- [j5]Yuntian He, Yue Zhang, Saket Gurukar, Srinivasan Parthasarathy:
WebMILE: Democratizing Network Representation Learning at Scale. Proc. VLDB Endow. 15(12): 3718-3721 (2022) - [c7]Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification. EAAMO 2022: 3:1-3:14 - [i5]Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
FairMod: Fair Link Prediction and Recommendation via Graph Modification. CoRR abs/2201.11596 (2022) - [i4]Xing Wang, Yuntian He:
Sepsis Prediction with Temporal Convolutional Networks. CoRR abs/2205.15492 (2022) - [i3]Yuntian He, Saket Gurukar, Srinivasan Parthasarathy:
FairMILE: A Multi-Level Framework for Fair and Scalable Graph Representation Learning. CoRR abs/2211.09925 (2022) - 2021
- [c6]Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy:
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis. EMNLP (1) 2021: 6844-6857 - [c5]Yuntian He, Saket Gurukar, Pouya Kousha, Hari Subramoni, Dhabaleswar K. Panda, Srinivasan Parthasarathy:
DistMILE: A Distributed Multi-Level Framework for Scalable Graph Embedding. HiPC 2021: 282-291 - [i2]Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy:
StyleML: Stylometry with Structure and Multitask Learning for Darkweb Markets. CoRR abs/2104.00764 (2021) - 2020
- [j4]Kai Han, Yuntian He, Alex X. Liu, Shaojie Tang, He Huang:
Differentially Private and Budget-Limited Bandit Learning over Matroids. INFORMS J. Comput. 32(3): 790-804 (2020) - [j3]Kai Han, Yuntian He, Keke Huang, Xiaokui Xiao, Shaojie Tang, Jingxin Xu, Liusheng Huang:
Best Bang for the Buck: Cost-Effective Seed Selection for Online Social Networks. IEEE Trans. Knowl. Data Eng. 32(12): 2297-2309 (2020)
2010 – 2019
- 2019
- [j2]Kai Han, Fei Gui, Xiaokui Xiao, Jing Tang, Yuntian He, Zongmai Cao, He Huang:
Efficient and Effective Algorithms for Clustering Uncertain Graphs. Proc. VLDB Endow. 12(6): 667-680 (2019) - [j1]Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Fei Gui, Chaoting Xu, Jun Luo:
Organizing an Influential Social Event Under a Budget Constraint. IEEE Trans. Knowl. Data Eng. 31(12): 2379-2392 (2019) - [c4]Eva K. Lee, Yuanbo Wang, Yuntian He, Brent M. Egan:
An Efficient, Robust, and Customizable Information Extraction and Pre-processing Pipeline for Electronic Health Records. KDIR 2019: 310-321 - 2018
- [c3]Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Fei Gui, Chaoting Xu, Jun Luo:
Budget-Constrained Organization of Influential Social Events. ICDE 2018: 917-928 - 2017
- [c2]Kai Han, Yuntian He, Haisheng Tan, Shaojie Tang, He Huang, Jun Luo:
Online Pricing for Mobile Crowdsourcing with Multi-Minded Users. MobiHoc 2017: 18:1-18:10 - [i1]Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Jingxin Xu, Liusheng Huang:
Cost-Effective Seed Selection in Online Social Networks. CoRR abs/1711.10665 (2017)
2000 – 2009
- 2008
- [c1]Ruixuan Li, Cuihua Zuo, Yuntian He, Zhengding Lu:
A Credit Mechanism Based on Automatic Audit in P2P File Sharing Systems. ICYCS 2008: 2044-2049
Coauthor Index
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