Publications
[Google scholar]
Federated Graph Condensation with Information Bottleneck Principles.
Bo Yan, Sihao He, Cheng Yang, Shang Liu, Yang Cao, Chuan Shi
arXiv 2024 [paper link]
PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms.
Shang Liu, Hao Du, Yang Cao, Bo Yan, Jinfei Liu, Masatoshi Yoshikawa
arXiv 2024 [paper link]
Federated Graph Analytics with Differential Privacy.
Shang Liu, Yang Cao, Takao Murakami, Weiran Liu, Seng Pei Liew, Tsubasa Takahashi, Jinfei Liu, Masatoshi Yoshikawa
arXiv 2024 [paper link]
CARGO: Crypto-Assisted Differentially Private Triangle Counting without Trusted Servers.
Shang Liu, Yang Cao, Takao Murakami, Jinfei Liu, Masatoshi Yoshikawa
ICDE 2024 [paper link]
Federated Graph Analytics with Differential Privacy.
Shang Liu, Yang Cao, Masatoshi Yoshikawa
FL4Data-Mining 2023 [paper link]
A crypto-assisted approach for publishing graph statistics with node local differential privacy.
Shang Liu, Yang Cao, Takao Murakami, Masatoshi Yoshikawa
Big Data 2022 [paper link]
LSM-Subgraph: Log-Structured Merge-Subgraph for Temporal Graph Processing.
Jingyuan Ma, Zhan Shi, Shang Liu, Wang Zhang, Yutong Wu, Fang Wang, Dan Feng
APWeb 2022 [paper link]
CSMqGraph: Coarse-Grained and Multi-External-Storage Multi-queue I/O Management for Graph Computing.
Shuo Chen, Zhan Shi, Dan Feng, Shang Liu, Fang Wang, Lei Yang, Ruili Yu
IJPP 2020 [paper link]
GraphScSh: Efficient I/O Scheduling and Graph Sharing for Concurrent Graph Processin.
Shang Liu, Zhan Shi, Dan Feng, Shuo Chen, Fang Wang, Yamei Peng
NPC 2019 [paper link]