A Credit Mechanism Based on Automatic Audit in P2P File Sharing Systems. - Ruixuan Li 001; Cuihua Zuo; Yuntian He; Zhengding Lu (ICYCS, 2008)

Online Pricing for Mobile Crowdsourcing with Multi-Minded Users. - Kai Han 003; Yuntian He; Haisheng Tan; Shaojie Tang 001; He Huang 001; Jun Luo 001 (MobiHoc, 2017)

Cost-Effective Seed Selection in Online Social Networks. - Kai Han 003; Yuntian He; Xiaokui Xiao; Shaojie Tang 001; Jingxin Xu; Liusheng Huang (CoRR, 2017)

Budget-Constrained Organization of Influential Social Events. - Kai Han 003; Yuntian He; Xiaokui Xiao; Shaojie Tang 001; Fei Gui; Chaoting Xu; Jun Luo 001 (ICDE, 2018)

An Efficient, Robust, and Customizable Information Extraction and Pre-processing Pipeline for Electronic Health Records. - Eva K. Lee; Yuanbo Wang 001; Yuntian He; Brent M. Egan (KDIR, 2019)

Efficient and Effective Algorithms for Clustering Uncertain Graphs. - Kai Han 003; Fei Gui; Xiaokui Xiao; Jing Tang 004; Yuntian He; Zongmai Cao; He Huang 001 (Proc. VLDB Endow., 2019)

Organizing an Influential Social Event Under a Budget Constraint. - Kai Han 003; Yuntian He; Xiaokui Xiao; Shaojie Tang 001; Fei Gui; Chaoting Xu; Jun Luo 001 (IEEE Trans. Knowl. Data Eng., 2019)

Differentially Private and Budget-Limited Bandit Learning over Matroids. - Kai Han 003; Yuntian He; Alex X. Liu; Shaojie Tang 001; He Huang 001 (INFORMS J. Comput., 2020)

Best Bang for the Buck: Cost-Effective Seed Selection for Online Social Networks. - Kai Han 003; Yuntian He; Keke Huang; Xiaokui Xiao; Shaojie Tang 001; Jingxin Xu; Liusheng Huang (IEEE Trans. Knowl. Data Eng., 2020)

SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis. - Pranav Maneriker; Yuntian He; Srinivasan Parthasarathy 001 (EMNLP (1), 2021)

DistMILE: A Distributed Multi-Level Framework for Scalable Graph Embedding. - Yuntian He; Saket Gurukar; Pouya Kousha; Hari Subramoni; Dhabaleswar K. Panda 001; Srinivasan Parthasarathy 001 (HiPC, 2021)

StyleML: Stylometry with Structure and Multitask Learning for Darkweb Markets. - Pranav Maneriker; Yuntian He; Srinivasan Parthasarathy 001 (CoRR, 2021)

FairEGM: Fair Link Prediction and Recommendation via Emulated Graph Modification. - Sean Current; Yuntian He; Saket Gurukar; Srinivasan Parthasarathy 001 (EAAMO, 2022)

FairMod: Fair Link Prediction and Recommendation via Graph Modification. - Sean Current; Yuntian He; Saket Gurukar; Srinivasan Parthasarathy 001 (CoRR, 2022)

Sepsis Prediction with Temporal Convolutional Networks. - Xing Wang; Yuntian He (CoRR, 2022)

FairMILE: A Multi-Level Framework for Fair and Scalable Graph Representation Learning. - Yuntian He; Saket Gurukar; Srinivasan Parthasarathy 001 (CoRR, 2022)

WebMILE: Democratizing Network Representation Learning at Scale. - Yuntian He; Yue Zhang; Saket Gurukar; Srinivasan Parthasarathy 001 (Proc. VLDB Endow., 2022)

FairMILE: Towards an Efficient Framework for Fair Graph Representation Learning. - Yuntian He; Saket Gurukar; Srinivasan Parthasarathy 001 (EAAMO, 2023)

Efficient Fair Graph Representation Learning Using a Multi-level Framework. - Yuntian He; Saket Gurukar; Srinivasan Parthasarathy 001 (WWW (Companion Volume), 2023)

HeteroMILE: a Multi-Level Graph Representation Learning Framework for Heterogeneous Graphs. - Yue Zhang; Yuntian He; Saket Gurukar; Srinivasan Parthasarathy 001 (CoRR, 2024)

Benchmarking Graph Conformal Prediction: Empirical Analysis, Scalability, and Theoretical Insights. - Pranav Maneriker; Aditya Vadlamani; Anutam Srinivasan; Yuntian He; Ali Payani; Srinivasan Parthasarathy 001 (CoRR, 2024)

Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks. - Yuntian He; Pranav Maneriker; Anutam Srinivasan; Aditya Vadlamani; Srinivasan Parthasarathy 001 (CoRR, 2024)

Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs. - Pranav Maneriker; Aditya T. Vadlamani; Anutam Srinivasan; Yuntian He; Ali Payani; Srinivasan Parthasarathy 001 (Trans. Mach. Learn. Res., 2025)