Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PHD, University of Southern California
… → 1989
MS, University of Southern California
… → 1985
BS, Shanghai Jiaotong University
… → 1983
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Dive into the research topics where Huan Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
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Blockchain-Based Offline Auditing for the Cloud in Vehicular Networks
Yu, H., Yang, Z., Tu, S., Waqas, M. & Liu, H., 2022, (Accepted/In press) In: IEEE Transactions on Network and Service Management.Research output: Contribution to journal › Article › peer-review
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Causal mediation analysis with hidden confounders
Cheng, L., Guo, R. & Liu, H., Feb 11 2022, WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 113-122 10 p. (WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Characterizing multi-domain false news and underlying user effects on Chinese Weibo
Sheng, Q., Cao, J., Bernard, H. R., Shu, K., Li, J. & Liu, H., Jul 2022, In: Information Processing and Management. 59, 4, 102959.Research output: Contribution to journal › Article › peer-review
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Cross-Domain Graph Anomaly Detection
Ding, K., Shu, K., Shan, X., Li, J. & Liu, H., Jun 1 2022, In: IEEE Transactions on Neural Networks and Learning Systems. 33, 6, p. 2406-2415 10 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Deep Graph Learning for Anomalous Citation Detection
Liu, J., Xia, F., Feng, X., Ren, J. & Liu, H., Jun 1 2022, In: IEEE Transactions on Neural Networks and Learning Systems. 33, 6, p. 2543-2557 15 p.Research output: Contribution to journal › Article › peer-review
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Designing nature to enhance resilience of built infrastructure in western US landscapes
Xu, T., Pavlic, T., Mascaro, G., Maciejewski, R., Muenich, R., Liu, H., Wutich, A., Candan, K. & Sefair, J.
DOD-ARMY: Army Corps of Engineers (USACE)
9/24/21 → 9/23/22
Project: Research project
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CC* Integration-Large: (BLUE) Software-Defined CyberInfrastructure to enable data-driven smart campus applications
Li, B., Liu, H., Zhou, X., Zhao, M. & Huang, D.
National Science Foundation (NSF)
9/1/21 → 8/31/23
Project: Research project
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EAGER: SaTC-EDU: AISecKG: AI for Cybersecurity Education via an ML-enabled Security Knowledge Graph
National Science Foundation (NSF)
5/1/21 → 4/30/23
Project: Research project
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Knowing the Unknown: Exploring the Space of Adversarial Attacks via Causal Learning
DOD-ARMY: Army Materiel Command (AMC)
4/1/21 → 3/31/24
Project: Research project