Research Output per year
Personal profile
Education/Academic qualification
PHD, University of Southern California
… → 1989
MS, University of Southern California
… → 1985
BS, Shanghai Jiaotong University
… → 1983
Fingerprint 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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Feature extraction
Engineering & Materials Science
Data mining
Engineering & Materials Science
Social Media
Mathematics
Experiments
Engineering & Materials Science
Recommender systems
Engineering & Materials Science
Labels
Engineering & Materials Science
Feature Selection
Mathematics
Blogs
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 1988 2019
A novel symbolic aggregate approximation for time series
Yu, Y., Zhu, Y., Wan, D., Liu, H. & Zhao, Q., Jan 1 2019, Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, IMCOM 2019. Lee, S., Choo, H. & Ismail, R. (eds.). Springer Verlag, p. 805-822 18 p. (Advances in Intelligent Systems and Computing; vol. 935).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Time series
Data mining
8
Citations
(Scopus)
Beyond news contents: The role of social context for fake news detection
Shu, K., Wang, S. & Liu, H., Jan 30 2019, WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 312-320 9 p. (WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Ecosystems
Costs
Experiments
1
Citation
(Scopus)
Bot detection: Will focusing on recall cause overall performance deterioration?
H. Nazer, T., Davis, M., Karami, M., Akoglu, L., Koelle, D. & Liu, H., Jan 1 2019, Social, Cultural, and Behavioral Modeling - 12th International Conference, SBP-BRiMS 2019, Proceedings. Thomson, R., Dancy, C., Hyder, A. & Bisgin, H. (eds.). Springer Verlag, p. 39-49 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11549 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Deterioration
Arsenals
Monitoring
Social Media
Differentiate
Debunking rumors in social networks: A timely approach
Wu, L. & Liu, H., Jun 26 2019, WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science. Association for Computing Machinery, Inc, p. 323-331 9 p. (WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
Launching
Costs
Deep anomaly detection on attributed networks
Ding, K., Li, J., Bhanushali, R. & Liu, H., Jan 1 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 594-602 9 p. (SIAM International Conference on Data Mining, SDM 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Finance
Data mining
Experiments
Projects 2001 2022
III: Small: pCAR: Discovering and Leveraging Plausibly Causal (p-causal) Relationships to Understand Complex Dynamic Systems
National Science Foundation (NSF)
10/1/19 → 9/30/22
Project: Research project
BotHunter - Intelligent Analysis of Bots, their Evolution and Impact
DOD-NAVY: Office of Naval Research (ONR)
1/1/18 → 12/31/21
Project: Research project
Center of Excellence for Accelerating Operational Efficiency (CAOE)
Maciejewski, R., Roe-Sepowitz, D., Liu, H., Askin, R., Kull, T., Ahn, G., Mirchandani, P., Mancenido, M., Tong, H., He, J., Sefair, J., Chiou, E., Pedrielli, G., Silva, Y. & Pavlic, T.
US Department of Homeland Security (DHS)
9/1/17 → 6/30/20
Project: Research project
Operations research
Economic analysis
Systems analysis
II-New - GEARS - An Infrastructure for Energy-Efficient Big Data Research on Heterogenous and Dynamic Data
Zhao, M., Candan, K., Liu, H., Davulcu, H., Li, B., Maciejewski, R. & Ren, F.
NSF-CISE: Computer and Network Systems (CNS)
9/1/16 → 8/31/20
Project: Research project
III-Small - Discovering and Characterizing Implicit Links in Graph Data
National Science Foundation (NSF)
8/15/16 → 9/30/20
Project: Research project