Meimei Li

dblp:92/5641 · DBLP profile ↗
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9ranked-venue papers in the field
2as first author
3since 2021 · last 2025
—ORCID · conflict

Domains — venue-derived; a paper can count in several

Knowledge Engineering, Semantic Web & Information Systems · 4 (1 first)Database Systems & Data Management · 2Information Retrieval & Web Search · 2 (1 first)Data Mining & Knowledge Discovery · 1
YearPublicationVenuePosition
2025 MalHdb:Malware Detection Based on Heterogeneous Dual-Branch Neural Networks
Meichen Liu, Meimei Li
ADMA (1)4
2025 SWV: A Large-Scale Sensitive Word Variants Dataset for Semantic Text Matching
Jiguo Liu, Chao Liu 0020, Meimei Li, Shihao Gao, Dali Zhu
KSEM (1)3
2024 EFCC-IeT: Cross-Modal Electronic File Content Correlation via Image-Enhanced Text
Pengfei Jing, Jiguo Liu, Meimei Li
KSEM (1)4
2020 SCX-SD: Semi-supervised Method for Contextual Sarcasm Detection
Meimei Li, Chen Lang, Min Yu 0001, Chao Liu 0020, Weiqing Huang
KSEM (2)1
2019 A Novel Method for Highly Imbalanced Classification with Weighted Support Vector Machine
Biao Qi, Zhixin Shi, Meimei Li
KSEM (1)4
2008 PASE: A Prototype for Ad-hoc Process-Aware Information System Declaratively Constructing Environment
abstract
Traditional workflow management technology can deal with pre-defined business processes well. However, a practical ad-hoc process case in knowledge-intensive domain is often driven by not only process control, but also the real-time application data or user interactions. So the structure of those processes are hard to be completely fixed ahead. In addition, as the only basic element in traditional process, task, is often too coarse or too fine in real applications. Even though the process structure could be pre-defined completely, there is only a non-declarative way to build the process by traditional methods. To solve the above problems, we developed a declaratively constructing environment, named PASE. We propose a multi-layer model to percept ad-hoc process. And we adopt a transformation strategy to translate the model to process specifications based on logic reasoning and calculus. We also provide a graphical tool to help user construct information systems declaratively.
Meimei Li
WAIM5
2006 WISE: A Prototype for Ontology Driven Development of Web Information Systems
Lv-an Tang, Hongyan Li 0002, Baojun Qiu, Meimei Li, Dongqing Yang, Shiwei Tang
APWeb4
2006 DOPA: A Data-Driven and Ontology-Based Method for Ad Hoc Process Awareness in Web Information Systems
Meimei Li, Hongyan Li 0002, Lv-an Tang, Baojun Qiu
WISE1
2005 An Ontology Based Approach to Construct Behaviors in Web Information Systems
Lv-an Tang, Hongyan Li 0002, Zhiyong Pan, Dongqing Yang, Meimei Li, Shiwei Tang, Ying Ying
WAIM5