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H

Hao Lu

Researcher at Beijing Institute of Technology

Publications -  24
Citations -  372

Hao Lu is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Computer science & Intelligent transportation system. The author has an hindex of 8, co-authored 22 publications receiving 241 citations. Previous affiliations of Hao Lu include Chinese Academy of Sciences.

Papers
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Journal ArticleDOI

Social Signal-Driven Knowledge Automation: A Focus on Social Transportation

TL;DR: The current research into a multisource heterogeneous social signal-based traffic decision knowledge automation framework is summarized and the computational paradigm and applications scenarios of this framework are summarized.
Journal ArticleDOI

Automatic generation of meteorological briefing by event knowledge guided summarization model

TL;DR: An event knowledge guided summarization (EKGS) model to automatically summarize weibo posts in the meteorological domain is presented and achieves the best test results on all metrics.
Proceedings ArticleDOI

A Novel Blockchain Oracle Implementation Scheme Based on Application Specific Knowledge Engines

TL;DR: This paper proposes a novel Oracle implementation scheme that can realize multi-source data extraction and analysis, then working prototypes are demonstrated to show the validity of the scheme.
Journal ArticleDOI

EKGTF: A knowledge-enhanced model for optimizing social network-based meteorological briefings

TL;DR: A meteorological briefing formalization module composed of three models: the text form judgment model, the formalization words detection model, and the event knowledge guided text formalization (EKGTF) model is proposed, which is to be applied to the China Meteorological Administration (CMA) Public Meteorological Service Center.
Patent

Name duplication disambiguation method of Chinese literature authors

TL;DR: In this paper, a name duplication disambiguation method of Chinese literature authors is proposed, which comprises the following steps: carrying out normalized preprocessing on a literature data set; carrying out author primary extraction and formalized expression; according to the basic attributes of the author with name duplication ambiguity, calculating a basic attribute similarity score between every two authors for the authors with the name duplication, and constructing a keyword relationship corresponding table of a name duplicating author, and calculating a keyword similarity score; establishing a cooperative relationship network for the name duplicated author; calculating a comprehensive similarity index