Yuntian He

According to our database, Yuntian He authored at least 19 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Efficient Fair Graph Representation Learning Using a Multi-level Framework.

Yuntian He, Saket Gurukar, Srinivasan Parthasarathy

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning.

Yuntian He, Saket Gurukar, Srinivasan Parthasarathy

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

2022

WebMILE: Democratizing Network Representation Learning at Scale.

Yuntian He, Yue Zhang, Saket Gurukar, Srinivasan Parthasarathy

Proc. VLDB Endow., 2022

FairMILE: A Multi-Level Framework for Fair and Scalable Graph Representation Learning.

Yuntian He, Saket Gurukar, Srinivasan Parthasarathy

CoRR, 2022

Sepsis Prediction with Temporal Convolutional Networks.

Xing Wang, Yuntian He

CoRR, 2022

FairMod: Fair Link Prediction and Recommendation via Graph Modification.

Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy

CoRR, 2022

FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification.

Sean Current, Yuntian He, Saket Gurukar, Srinivasan Parthasarathy

Proceedings of the Equity and Access in Algorithms, Mechanisms, and Optimization, 2022

2021

StyleML: Stylometry with Structure and Multitask Learning for Darkweb Markets.

Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy

CoRR, 2021

DistMILE: A Distributed Multi-Level Framework for Scalable Graph Embedding.

Yuntian He, Saket Gurukar, Pouya Kousha, Hari Subramoni, Dhabaleswar K. Panda, Srinivasan Parthasarathy

Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis.

Pranav Maneriker, Yuntian He, Srinivasan Parthasarathy

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Best Bang for the Buck: Cost-Effective Seed Selection for Online Social Networks.

Kai Han, Yuntian He, Keke Huang, Xiaokui Xiao, Shaojie Tang, Jingxin Xu, Liusheng Huang

IEEE Trans. Knowl. Data Eng., 2020

Differentially Private and Budget-Limited Bandit Learning over Matroids.

Kai Han, Yuntian He, Alex X. Liu, Shaojie Tang, He Huang

INFORMS J. Comput., 2020

2019

Organizing an Influential Social Event Under a Budget Constraint.

Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Fei Gui, Chaoting Xu, Jun Luo

IEEE Trans. Knowl. Data Eng., 2019

Efficient and Effective Algorithms for Clustering Uncertain Graphs.

Kai Han, Fei Gui, Xiaokui Xiao, Jing Tang, Yuntian He, Zongmai Cao, He Huang

Proc. VLDB Endow., 2019

An Efficient, Robust, and Customizable Information Extraction and Pre-processing Pipeline for Electronic Health Records.

Eva K. Lee, Yuanbo Wang, Yuntian He, Brent M. Egan

Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

2018

Budget-Constrained Organization of Influential Social Events.

Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Fei Gui, Chaoting Xu, Jun Luo

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Cost-Effective Seed Selection in Online Social Networks.

Kai Han, Yuntian He, Xiaokui Xiao, Shaojie Tang, Jingxin Xu, Liusheng Huang

CoRR, 2017

Online Pricing for Mobile Crowdsourcing with Multi-Minded Users.

Kai Han, Yuntian He, Haisheng Tan, Shaojie Tang, He Huang, Jun Luo

Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2017

2008

A Credit Mechanism Based on Automatic Audit in P2P File Sharing Systems.

Ruixuan Li, Cuihua Zuo, Yuntian He, Zhengding Lu

Proceedings of the 9th International Conference for Young Computer Scientists, 2008