Publications

Fast Approximate All Pairwise CoSimRanks via Random Projection

Renchi Yang, Xiaokui Xiao, International Conference on Web Information Systems Engineering (WISE), 2021 (Invited Paper)

Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization

Tianyuan Jin, Yu Yang, Renchi Yang, Jieming Shi, Keke Huang, Xiaokui Xiao, Proceedings of the VLDB Endowment (PVLDB), 2021

Effective and Scalable Clustering on Massive Attributed Graphs

Renchi Yang, Jieming Shi, Yin Yang, Keke Huang, Shiqi Zhang, Xiaokui Xiao, Proceedings of The Web Conference (WWW), 2021

Scaling Attributed Network Embedding to Massive Graphs

Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Juncheng Liu, Sourav Bhowmick, Proceedings of the VLDB Endowment (PVLDB), 2021 (Best Research Paper Award)

Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank

Renchi Yang, Jieming Shi, Xiaokui Xiao, Yin Yang, Sourav S. Bhowmick, Proceedings of the VLDB Endowment (PVLDB), 2020

Realtime Index-Free Single Source SimRank Processing on Web-Scale Graphs

Jieming Shi, Tianyuan Jin, Renchi Yang, Xiaokui Xiao, Yin Yang, Proceedings of the VLDB Endowment (PVLDB), 2020

Realtime Top-k Personalized PageRank over Large Graphs on GPUs

Jieming Shi, Renchi Yang*, Tianyuan Jin, Xiaokui Xiao, Yin Yang, Proceedings of the VLDB Endowment (PVLDB), 2019

Efficient Algorithms for Approximate Single-Source Personalized PageRank Queries

Sibo Wang, Renchi Yang, Runhui Wang, Xiaokui Xiao, Zhewei Wei, Wenqing Lin, Yin Yang, Nan Tang, ACM Transaction on Database Systems (TODS), 2019

Efficient Estimation of Heat Kernel PageRank for Local Clustering

Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav Bhowmick, Jun Zhao, Rong-Hua Li, Proceedings of the International Conference on Management of Data (SIGMOD), 2019

FORA: Simple and Effective Approximate Single-Source Personalized PageRank

Sibo Wang, Renchi Yang, Xiaokui Xiao, Zhewei Wei, Yin Yang, Proceedings of the SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2017