Yuntian He

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 19

Top Topics

Multitask Learning

Graph Representation

Proximity Measures

Top Venues

Proc. VLDB Endow.

IEEE Trans. Knowl. Data Eng.

Publications

Yue Zhang, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs. CoRR (2024)
Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
Efficient Fair Graph Representation Learning Using a Multi-level Framework. WWW (Companion Volume) (2023)
Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning. EAAMO (2023)
Yuntian He, Yue Zhang, Saket Gurukar, Srinivasan Parthasarathy
WebMILE: Democratizing Network Representation Learning at Scale. Proc. VLDB Endow. 15 (12) (2022)
Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification. EAAMO (2022)
Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
FairMod: Fair Link Prediction and Recommendation via Graph Modification. CoRR (2022)
Yuntian He, Saket Gurukar, Srinivasan Parthasarathy
FairMILE: A Multi-Level Framework for Fair and Scalable Graph Representation Learning. CoRR (2022)
Xing Wang, Yuntian He
Sepsis Prediction with Temporal Convolutional Networks. CoRR (2022)
Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy
StyleML: Stylometry with Structure and Multitask Learning for Darkweb Markets. CoRR (2021)
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)
Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis. EMNLP (1) (2021)
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) (2020)
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) (2020)
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)
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) (2019)
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) (2019)
Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Fei Gui, Chaoting Xu, Jun Luo
Budget-Constrained Organization of Influential Social Events. ICDE (2018)
Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Jingxin Xu, Liusheng Huang
Cost-Effective Seed Selection in Online Social Networks. CoRR (2017)
Kai Han, Yuntian He, Haisheng Tan, Shaojie Tang, He Huang, Jun Luo
Online Pricing for Mobile Crowdsourcing with Multi-Minded Users. MobiHoc (2017)
Ruixuan Li, Cuihua Zuo, Yuntian He, Zhengding Lu
A Credit Mechanism Based on Automatic Audit in P2P File Sharing Systems. ICYCS (2008)