Shang Liu (刘上)

Associate Professor
School of Computer and Science
China University of Mining and Technology
Email: shang@cumt.edu.cn  


I am a Associate Professor at School of Computer and Science, China University of Mining and Technology. I received my Ph.D. degree from Kyoto University, supervised by Prof. Yang Cao and Prof. Masatoshi Yoshikawa. My current research focuses on Differential Privacy and Graph Analysis. Please contact me if you are interested in any form of collaboration.


Federated Graph Condensation with Information Bottleneck Principles.
Bo Yan, Sihao He, Cheng Yang, Shang Liu, Yang Cao, Chuan Shi
AAAI 2025 [paper link]

PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms.
Shang Liu, Hao Du, Yang Cao, Bo Yan, Jinfei Liu, Masatoshi Yoshikawa
ICDE 2025 [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]

Journal Reviewer: IEEE TDSC, IEEE TKDE

Volunteering Conference Reviewer: SIGMOD24, PAKDD24, ICASSP24, DASFAA24, ICDCS24, VLDB23, ICDE23, AAAI23, SoCC23, DASFAA23, BigData23, PAKDD23, ICDE22, WSDM22

Volunteering Journal Reviewer: IEEE TIFS, Information Sciences

Kyoto University Graduate Division Fellowship (2021 - 2024)
Full Scholarships of HUST (2018 - 2021)
Presidential Scholarships of HUST
National Scholarship of China (<1%, 2015)

08/2024 " Benchmarking Differentially Private Synthetic Graph Generation Algorithms", oral presentation in TFM 2024. Tokyo, Japan
05/2024 " Differentially Private Graph Synthesis", oral presentation in Kyoto Workshop. Kyoto, Japan
05/2024 " CARGO: Crypto-Assisted Differentially Private Triangle Counting without Trusted Servers", oral presentation in ICDE 2024. Utrecht, Netherlands
11/2023 " Federated Graph Analytics with Differential Privacy", poster presentation in SPRING Fellow Research Exchanges 2023. Kyoto, Japan
08/2023 " Federated Graph Analytics with Differential Privacy", poster presentation in FL4Data-Mining 2023. Long Beach, USA
12/2022 "A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy", oral presentation in Big Data 2022 Osaka, Japan
08/2019 "GraphScSh: Efficient I/O Scheduling and Graph Sharing for Concurrent Graph Processin, oral presentation in NPC 2019 Hohhot, China