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Institution

Hong Kong Baptist University

EducationHong Kong, China
About: Hong Kong Baptist University is a education organization based out in Hong Kong, China. It is known for research contribution in the topics: Population & China. The organization has 7811 authors who have published 18919 publications receiving 555274 citations. The organization is also known as: Hong Kong Baptist College & HKBU.


Papers
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Proceedings Article
27 Apr 2018
TL;DR: An improved two-stream CNN network is presented to learn the multimodality sharable feature representations and identity loss and contrastive loss are integrated to enhance the discriminability and modality-invariance with partially shared layer parameters.
Abstract: Person re-identification is widely studied in visible spectrum, where all the person images are captured by visible cameras. However, visible cameras may not capture valid appearance information under poor illumination conditions, e.g, at night. In this case, thermal camera is superior since it is less dependent on the lighting by using infrared light to capture the human body. To this end, this paper investigates a cross-modal re-identification problem, namely visible-thermal person re-identification (VT-REID). Existing cross-modal matching methods mainly focus on modeling the cross-modality discrepancy, while VT-REID also suffers from cross-view variations caused by different camera views. Therefore, we propose a hierarchical cross-modality matching model by jointly optimizing the modality-specific and modality-shared metrics. The modality-specific metrics transform two heterogenous modalities into a consistent space that modality-shared metric can be subsequently learnt. Meanwhile, the modality-specific metric compacts features of the same person within each modality to handle the large intra-modality intra-person variations (e.g. viewpoints, pose). Additionally, an improved two-stream CNN network is presented to learn the multi-modality sharable feature representations. Identity loss and contrastive loss are integrated to enhance the discriminability and modality-invariance with partially shared layer parameters. Extensive experiments illustrate the effectiveness and robustness of the proposed method.

281 citations

Journal ArticleDOI
TL;DR: The study reveals a set of factors concerning the technical tools, subjective perceptions, goals of online discussion, social presence within a community, rules for participation, and roles of the participants that affect their online engagement patterns.
Abstract: The present paper documents a qualitative study that examines the motivating and inhibiting factors that influenced students' engagement in online discussions via Moodle and Facebook. The data was collected through individual interviews with 14 pre-service teachers. Using the Activity Theory as a lens, the study reveals a set of factors concerning the technical tools, subjective perceptions, goals of online discussion, social presence within a community, rules for participation, and roles of the participants that affect their online engagement patterns. The findings of the study inform educators and software designers of how online discussions can be better promoted among students, and how a web-based environment more conducive to learning can be created.

280 citations

Proceedings ArticleDOI
14 Jun 2005
TL;DR: This framework is the first to address the location update issue and to provide a common interface for monitoring mixed types of queries and significantly reduces the wireless communication and query reevaluation costs required to maintain the up-to-date query results.
Abstract: This paper proposes a generic framework for monitoring continuous spatial queries over moving objects. The framework distinguishes itself from existing work by being the first to address the location update issue and to provide a common interface for monitoring mixed types of queries. Based on the notion of safe region, the client location update strategy is developed based on the queries being monitored. Thus, it significantly reduces the wireless communication and query reevaluation costs required to maintain the up-to-date query results. We propose algorithms for query evaluation/reevaluation and for safe region computation in this framework. Enhancements are also proposed to take advantage of two practical mobility assumptions: maximum speed and steady movement. The experimental results show that our framework substantially outperforms the traditional periodic monitoring scheme in terms of monitoring accuracy and CPU time while achieving a close-to-optimal wireless communication cost. The framework also can scale up to a large monitoring system and is robust under various object mobility patterns.

279 citations

Journal ArticleDOI
TL;DR: The values of PAHs isomer indicated that biomass burning might be the major origin ofPAHs in rural soils, but vehicular emission around the heavy traffic roads might contribute to the soil PAHS in urban areas.

278 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined how regional diversification affects firm performance and found that it has linear and curvilinear effects on firm performance, and that firms of developed countries maximize their performance when they operate across a moderate number of developed regions and a strictly limited number of developing regions.
Abstract: This study examines how regional diversification affects firm performance. The results indicate that regional diversification has linear and curvilinear effects on firm performance. Regional diversification enhances firm performance linearly up to a certain threshold, and then its impact becomes negative. The results also show that firms of developed countries maximize their performance when they operate across a moderate number of developed regions and a strictly limited number of developing regions. This explains why internationalization by most international firms is regional rather than global.

276 citations


Authors

Showing all 7946 results

NameH-indexPapersCitations
Weihong Tan14089267151
Bin Liu138218187085
Jun Lu135152699767
John P. Giesy114116262790
Qiang Yang112111771540
Ming Hung Wong10371039738
Wei Wang95354459660
Jianhua Zhang9241528085
Xiaojun Wu91108831687
Guibin Jiang8885034633
Shu Tao8763927304
Paul K.S. Lam8748525614
Cheng-Yong Su8758132322
Hai-Long Jiang8619830946
Baowen Li8347723080
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202346
2022246
20211,655
20201,479
20191,244
20181,093