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ORCIDShang Liu 0001
Person information
- affiliation: China University of Mining and Technology, School of Computer and Science, Xuzhou, China
- affiliation (PhD 2024): Kyoto University, Graduate School of Informatics, Kyoto, Japan
- affiliation (2018 - 2021): Huazhong University of Science and Technology, School of Computer Science and Technology, Wuhan National Laboratory for Optoelectronics, Wuhan, Chian
Other persons with the same name
- Shang Liu — disambiguation page
- Shang Liu 0002
![[0000-0001-9566-7075]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9566-7075")
— DAMO Academy Alibaba Group, Beijing, China - Shang Liu 0003 — Northeastern University, Shenyang, China
- Shang Liu 0004 — Beijing Jiaotong University, Beijing, China
- Shang Liu 0005 — Nanyang Technological University, Singapore
- Shang Liu 0006 — Hong Kong University of Science and Technology, Hong Kong, SAR, China
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2020 – today
- 2026
[j3]Wenzhu Zhao, Guan Yuan, Yanmei Zhang, Xiao Liu, Shang Liu, Lei Zhang:
An interpretable and efficient multi-scale spatio-temporal neural network for traffic flow forecasting. Expert Syst. Appl. 296: 128961 (2026)- 2025
- [j2]Wen Xu, Pengpeng Qiao, Shang Liu, Zhirun Zheng, Yang Cao, Zhetao Li:
Continuous Publication of Weighted Graphs with Local Differential Privacy. Proc. VLDB Endow. 18(11): 4214-4226 (2025) - [c9]Bo Yan, Sihao He, Cheng Yang, Shang Liu, Yang Cao, Chuan Shi:
Federated Graph Condensation with Information Bottleneck Principles. AAAI 2025: 12990-12998 - [c8]Shang Liu, Hao Du, Yang Cao, Bo Yan, Jinfei Liu, Masatoshi Yoshikawa:
PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms. ICDE 2025: 1348-1361 - [c7]Guixian Zhang, Debo Cheng, Guan Yuan, Shang Liu, Yanmei Zhang:
Causality-Inspired Disentanglement for Fair Graph Neural Networks. IJCAI 2025: 637-645 - [c6]Xiao Liu, Guan Yuan, Yanmei Zhang, Shang Liu, Qiuyan Yan:
RobustHAR: Multi-scale Spatial-temporal Masked Self-supervised Pre-training for Robust Human Activity Recognition. IJCAI 2025: 8563-8571 - [c5]Hao Du, Shang Liu, Lele Zheng, Yang Cao, Atsuyoshi Nakamura, Lei Chen:
Privacy in Fine-Tuning Large Language Models: Attacks, Defenses, and Future Directions. PAKDD (4) 2025: 326-344 - 2024
- [c4]Shang Liu, Yang Cao, Takao Murakami, Jinfei Liu, Masatoshi Yoshikawa:
CARGO: Crypto-Assisted Differentially Private Triangle Counting Without Trusted Servers. ICDE 2024: 1671-1684 - [i5]Shang Liu, Yang Cao, Takao Murakami, Weiran Liu, Seng Pei Liew, Tsubasa Takahashi, Jinfei Liu, Masatoshi Yoshikawa:
Federated Graph Analytics with Differential Privacy. CoRR abs/2405.20576 (2024) - [i4]Shang Liu, Hao Du, Yang Cao, Bo Yan, Jinfei Liu, Masatoshi Yoshikawa:
PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms. CoRR abs/2408.02928 (2024) - [i3]Hao Du, Shang Liu, Lele Zheng, Yang Cao, Atsuyoshi Nakamura, Lei Chen:
Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions. CoRR abs/2412.16504 (2024) - 2023
- [i2]Shang Liu, Yang Cao, Takao Murakami, Jinfei Liu, Masatoshi Yoshikawa:
CARGO: Crypto-Assisted Differentially Private Triangle Counting without Trusted Servers. CoRR abs/2312.12938 (2023) - 2022
- [c3]Jingyuan Ma, Zhan Shi, Shang Liu, Wang Zhang, Yutong Wu, Fang Wang, Dan Feng:
LSM-Subgraph: Log-Structured Merge-Subgraph for Temporal Graph Processing. APWeb/WAIM (1) 2022: 477-494 - [c2]Shang Liu, Yang Cao, Takao Murakami, Masatoshi Yoshikawa:
A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy. IEEE Big Data 2022: 5765-5774 - [i1]Shang Liu, Yang Cao, Takao Murakami, Masatoshi Yoshikawa:
A Crypto-Assisted Approach for Publishing Graph Statistics with Node Local Differential Privacy. CoRR abs/2209.02231 (2022) - 2020
- [j1]Shuo Chen, Zhan Shi, Dan Feng, Shang Liu, Fang Wang, Lei Yang, Ruili Yu:
CSMqGraph: Coarse-Grained and Multi-external-storage Multi-queue I/O Management for Graph Computing. Int. J. Parallel Program. 48(1): 98-118 (2020)
2010 – 2019
Coauthor Index
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