Shang Liu

Orcid: 0000-0002-6576-8243

Affiliations:
  • China University of Mining and Technology, School of Computer and Science, Xuzhou, China
  • Kyoto University, Graduate School of Informatics, Kyoto, Japan (PhD 2024)
  • Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan National Laboratory for Optoelectronics, Wuhan, Chian (2018 - 2021)


According to our database1, Shang Liu authored at least 10 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2026
An interpretable and efficient multi-scale spatio-temporal neural network for traffic flow forecasting.
Expert Syst. Appl., 2026

2025
Privacy in Fine-Tuning Large Language Models: Attacks, Defenses, and Future Directions.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms.
Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Federated Graph Condensation with Information Bottleneck Principles.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Federated Graph Analytics with Differential Privacy.
CoRR, 2024

CARGO: Crypto-Assisted Differentially Private Triangle Counting Without Trusted Servers.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2022
A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy.
Proceedings of the IEEE International Conference on Big Data, 2022

LSM-Subgraph: Log-Structured Merge-Subgraph for Temporal Graph Processing.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2020
CSMqGraph: Coarse-Grained and Multi-external-storage Multi-queue I/O Management for Graph Computing.
Int. J. Parallel Program., 2020

2019
GraphScSh: Efficient I/O Scheduling and Graph Sharing for Concurrent Graph Processing.
Proceedings of the Network and Parallel Computing, 2019


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