Baogang Wei

Inner Mongolia People's Hospital

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Co-Authors

Weiming Lü

Zhejiang University

Yonghuai Liu

Edge Hill University

Liang Yao

Harbin University of Science and Technology

Yin Zhang⋆

University of Electronic Science and Technology of China

Jiangqin Wu

Wuhan University of Science and Technology

Wenhao Zhu

Shanghai University of Engineering Science

Yin Zhang

Zhejiang University

Longzhuang Li

Texas A&M University – Corpus Christi

Shansong Yang

Hisense (China)

Yueting Zhuang

Zhejiang University of Science and Technology

Cooperative Institutions

Zhejiang University

Zhejiang University of Science and Technology

Chinese Academy of Sciences

Shanghai University of Engineering Science

Fudan University

Sun Yat-sen University

Sichuan University

University of Chinese Academy of Sciences

Shanghai University

Alibaba Group (United States)

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EncyCatalogRec: catalog recommendation for encyclopedia article completion

Frontiers of Information Technology & Electronic Engineering (2019)

Weiming Lü Jiahui Liu Wei Xu Peng Wang Baogang Wei

Encyclopedia

10.1631/fitee.1800363

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Citations (1)

Bilinear joint learning of word and entity embeddings for Entity Linking

Neurocomputing (2017)

Hui Chen Baogang Wei Yonghuai Liu Yiming Li Jifang Yu

Benchmark (surveying)

Base (topology)

Rank (graph theory)

Entity linking

10.1016/j.neucom.2017.11.064

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Citations (19)

Region-based saliency estimation for 3D shape analysis and understanding

Neurocomputing (2016)

Yitian Zhao Yonghuai Liu Yongjun Wang Baogang Wei Jian Yang

Smoothing

Feature (linguistics)

10.1016/j.neucom.2016.01.012

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Citations (19)

A joint model for question-answering over Traditional Chinese Medicine

2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2016)

Xiangzhou Huang Yin Zhang Baogang Wei Liang Yao

Traditional Chinese Medicine (TCM) has been around for over 2000 years and it's a significant part of Chinese cultural heritage. The theoretical framework of TCM is unique and with rich of content, which contains the complex relationships between disease and medicine and has formed a unique system to diagnose and cure illness. Research on question-answering (QA) over TCM is significant for Chinese NLP and representative, because the resources of TCM are mostly Chinese-based. The general strategies for QA are pipeline, includes Natural Language Processing (NLP) for original questions and structural query process. However, noises are easily introduced and information contained in the original questions may loss during these two separate procedures. In this paper we present a novel joint model for QA over TCM, which unites these two procedures into a uniform framework, together with Wikipedia alignment. The results of our evaluation with 100 benchmark queries demonstrate the value of our approach.

Benchmark (surveying)

Value (mathematics)

10.1109/bibm.2016.7822810

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Citations (2)

Mining RDF from Tables in Chinese Encyclopedias

Lecture notes in computer science (2015)

Weiming Lü Zhenyu Zhang Renjie Lou Hao Dai Shansong Yang

Web tables understanding has recently attracted a number of studies. However, many works focus on the tables in English, because they usually need the help of knowledge bases, while the existing knowledge bases such as DBpedia, YAGO, Freebase and Probase mainly contain knowledge in English. In this paper, we focus on the RDF triples extraction from tables in Chinese encyclopedias. Firstly, we constructed a Chinese knowledge base through taxonomy mining and class attribute mining. Then, with the help of our knowledge base, we extracted triples from tables through column scoring, table classification and RDF extraction. In our experiments, we practically implemented our approach in 6,618,544 articles from Hudong Baike with 764,292 tables, and extracted about 1,053,407 unique and new RDF triples with an estimated accuracy of $$90.2\%$$, which outperforms other similar works.

Encyclopedia

Table (database)

10.1007/978-3-319-25207-0_24

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Citations (1)

A novel method to cope with appearing and disappearing points for the projective registration of free-form surfaces

Yonghuai Liu Marcos Rodrigues Baogang Wei

We present a novel algorithm to cope with appearing and disappearing points for the projective registration of free-form surfaces. The novel method combines the ICP algorithm with FOE theory for the effective elimination of false matches. Experimental results based on both synthetic data and real images show that the proposed algorithm is accurate and robust.

Image registration

10.1109/icip.2001.958215

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Citations (2)

A clustering approach to free form surface reconstruction from multi-view range images

Image and Vision Computing (2008)

Hong Zhou Yonghuai Liu Longzhuang Li Baogang Wei

Initialization

Centroid

10.1016/j.imavis.2008.07.009

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Citations (12)

In Vivo and In Vitro Antibacterial Effect of Nano-Structured Titanium Coating Incorporated with Silver Oxide Nanoparticles

Journal of Biomaterials and Tissue Engineering (2017)

Baogang Wei Zhanjun Shi Jun Xiao Yongsheng Xu Long Lv

Titanium oxide

Silver nanoparticle

Silver Nano

10.1166/jbt.2017.1581

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Citations (10)

A new video text detection method

Jie Yuan Baogang Wei Weiming Lü Lidong Wang

Nowadays, digital libraries contain more and more videos in them, and how to organize and retrieve those videos effectively has become very urgent. Text in videos is a very meaningful clue for video semantic understanding, and it can be used for video organization and retrieval. However, existing text recognizing methods can not deal with multilingual texts or texts embedded in a complex background very well. In this paper, we propose a novel video text detection method. Edge detection and candidate region extraction are firstly used to obtain all rough candidate text regions, and then region refinement is used to obtain the accurate location of each region. Based on our observation that a real text region has a uniform distribution with its non-zero pixels in its binary image, an entropy filter is used to remove non-text regions. Experiments on various videos show that our method is effective and robust against different languages, background complexities and font styles.

Text Detection

Digital video

Video retrieval

10.1145/1998076.1998142

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Citations (3)

Accurate range image registration: Eliminating or modelling outliers

Yonghuai Liu Honghai Liu Longzhuang Li Baogang Wei

Automatic and accurate range image registration is often a prerequisite step for range image analysis and interpretation. Due to occlusion, appearance and disappearance of points in different images, outliers inevitably occur. In this case, various techniques to eliminate and model outliers have been proposed for accurate range image registration. The objective of this paper is to experimentally investigate which of the outlier elimination and modelling is more effective for the evaluation of possible correspondences established, so that a deep insight into how advanced range image registration algorithms will be developed can be obtained. The experimental results based on both synthetic data and real images show that the outlier modelling often outperforms the outlier elimination in the sense of producing more accurate and robust range image registration results.

Image registration

10.1109/efta.2007.4416933

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Citations (0)