Shang Liu (刘上)

Shang Liu (刘上)

Associate Professor at CUMT

I am an Associate Professor at Prof. Guan Yuan’s group, School of Computer and Science, China University of Mining and Technology (CUMT). I received my Ph.D. degree from Kyoto University in 2024, supervised by Prof. Yang Cao and Prof. Masatoshi Yoshikawa. My current research focuses on Differential Privacy, Graph Analysis, and Federated Learning. Please contact me if you are interested in any form of collaboration.

🔥 News

  • 2025.05:   One paper is accepted by DBSec'25.
  • 2025.04:   Two papers are accepted by IJCAI'25.
  • 2025.04:   One paper is accepted by PAKDD'25.
  • 2024.12:   One paper is accepted by AAAI'25.
  • 2024.11:   One paper is accepted by ICDE'25.
  • 2024.10:   I have joined the China University of Mining and Technology as an Associate Professor.
  • 2024.09:   I have obtained my PhD degree at Kyoto University.

📝 Publications

Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks?

  • Hao Du, Shang Liu, Yang Cao
  • Conference on Data and Applications Security and Privacy (DBSec), 2025

CRobustHAR: Multi-scale Spatial-temporal Masked Self-supervised Pre-training for Robust Human Activity Recognition.

  • Xiao Liu, Guan Yuan, Yanmei Zhang, Shang Liu, Qiuyan Yan
  • International Joint Conferences on Artificial Intelligence (IJCAI), 2025, CCF-A

Causality-Inspired Disentanglement for Fair Graph Neural Networks.

  • Guixian Zhang, Debo Cheng, Guan Yuan, Shang Liu, Yanmei Zhang
  • International Joint Conferences on Artificial Intelligence (IJCAI), 2025, CCF-A

Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions.

  • Hao Du, Shang Liu, Lele Zheng, Yang Cao, Atsuyoshi Nakamura, Lei Chen
  • Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2025, CCF-C

Federated Graph Condensation with Information Bottleneck Principles.

  • Bo Yan, Sihao He, Cheng Yang, Shang Liu, Yang Cao, Chuan Shi
  • Association for the Advancement of Artificial Intelligence (AAAI), 2025, CCF-A

PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms.

  • Shang Liu, Hao Du, Yang Cao, Bo Yan, Jinfei Liu, Masatoshi Yoshikawa
  • IEEE International Conference on Data Engineering (ICDE), 2025, CCF-A

CARGO: Crypto-Assisted Differentially Private Triangle Counting without Trusted Servers.

  • Shang Liu, Yang Cao, Takao Murakami, Jinfei Liu, Masatoshi Yoshikawa
  • IEEE International Conference on Data Engineering (ICDE), 2024, CCF-A

A crypto-assisted approach for publishing graph statistics with node local differential privacy.

  • Shang Liu, Yang Cao, Takao Murakami, Masatoshi Yoshikawa
  • IEEE International Conference on Big Data (BigData), 2022, CCF-C

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-WAIM joint International Conference on Web and Big Data (APWeb), 2022, CCF-C

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
  • Annual IFIP International Conference on Network and Parallel Computing (NPC), 2019, CCF-C, top paper

GraphScSh: Efficient I/O Scheduling and Graph Sharing for Concurrent Graph Processin.

  • Shang Liu, Zhan Shi, Dan Feng, Shuo Chen, Fang Wang, Yamei Peng
  • Annual IFIP International Conference on Network and Parallel Computing (NPC), 2019, CCF-C

💻 Academic Services

  • Journal Reviewer: IEEE TDSC, IEEE TKDE, IEEE TIFS
  • Conference Reviewer: ADMA25(meta reviewer)
  • External Conference Reviewer: SIGMOD24, PAKDD24, ICASSP24, DASFAA24, ICDCS24, VLDB23, ICDE23, AAAI23, SoCC23, DASFAA23, BigData23, PAKDD23, ICDE22, WSDM22
  • External Journal Reviewer: Information Sciences

🎖 Honors and Awards

  • 2021-2024, Kyoto University Graduate Division Fellowship.
  • 2015, National Scholarship of China (<1%).

✒️ Teaching

  • 2025春季,《操作系统》(TA).
  • 2025春季,《离散数学》(TA).