Don't Don't

Dr. Don't Don't

Guizhou Provincial Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang 550025, China

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 January 2023 in Computers & Security
Verified
Journal Article
Closed access
HDHuaxin Deng
Huaxin Deng
DDDon't Don't
Don't Don't
GSGuowei Shen
Guowei Shen
YCYunhe Cui
Yunhe Cui
YPYuan Ping
Yuan Ping

1 November 2021 in Computers & Security
Verified
Journal Article
Closed access
MXMao Xiao
Mao Xiao
DDDon't Don't
Don't Don't
GSGuowei Shen
Guowei Shen
YCYunhe Cui
Yunhe Cui
CJChaohui Jiang
Chaohui Jiang

27 May 2021 in Security and Communication Networks
Verified
Journal Article
Open access
PDF file
HZHuixia Zhang
Huixia Zhang
GSGuowei Shen
Guowei Shen
DDDon't Don't
Don't Don't
YCYunhe Cui
Yunhe Cui
CJChaohui Jiang
Chaohui Jiang
With the increasing complexity of network attacks, an active defense based on intelligence sharing becomes crucial. There is an important issue in intelligence analysis that automatically extracts threat actions from cyber threat intelligence (CTI) reports. To address this problem, we propose EX-Action, a framework for extracting threat actions from CTI reports. EX-Action finds threat actions by employing the natural language processing (NLP) technology and identifies actions by a multimodal learning algorithm. At the same time, a metric is used to evaluate the information completeness of the extracted action obtained by EX-Action. By the experiment on the CTI reports that consisted of sentences with complex structure, the experimental result indicates that EX-Action can achieve better performance than two state-of-the-art action extraction methods in terms of accuracy, recall, precision, and F1-score.

11 April 2016 in Journal of Managerial Psychology
Verified
Journal Article
Closed access
MWMelissa S. Woodard
Melissa S. Woodard
JMJane K. Miller
Jane K. Miller
DMDaniel J. Miller
Daniel J. Miller
KSKirk D. Silvernail
Kirk D. Silvernail
DDDon't Don't
Don't Don't
LPLinda M. Peters
Linda M. Peters
Purpose: – The purpose of this paper is to examine the relationship between individual- and country-level values and preferences for job/organizational attributes. Design/methodology/approach: – Survey data were collected from 475 full-time employees (average of nine years work experience, and three years in a managerial position) enrolled in part-time MBA programs in seven countries. Findings: – Preference for a harmonious workplace is positively related to horizontal collectivism, whereas preference for remuneration/advancement is positively related to vertical individualism. The authors also find a positive relationship between preference for meaningful work and horizontal individualism, and between preference for employer prestige and social adjustment (SA) needs. Research limitations/implications: – Although the sample comprised experienced, full-time professionals, using graduate business students may limit generalizability. Overall, the results provide initial support for the utility of incorporating the multi-dimensional individualism and collectivism measure, as well as SA needs, when assessing the relationships between values and employee preferences. Practical implications: – For practitioners, the primary conclusion is that making assumptions about preferences based on nationality is risky. Findings may also prove useful for enhancing person-organization fit and the ability to attract and retain qualified workers. Originality/value: – This study extends research on workers’ preferences by incorporating a new set of values and sampling experienced workers in a range of cultural contexts.

22 June 2022 in Energies
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Journal Article
Open access
PDF file
PXPeng Xia
Peng Xia
FHFang Hao
Fang Hao
JTJinqiang Tian
Jinqiang Tian
WZWenxi Zhou
Wenxi Zhou
YFYong Fu
Yong Fu
KWKe Wang
Ke Wang
Natural gas generation is the result of organic matter degradation under the effects of biodegradation and thermal degradation. Early Cambrian black shales in the Upper Yangtze Region are rich in organic matter and have shown great shale gas potentiality in recent years. Nevertheless, the enrichment mechanism and distribution of organic matter in these black shales between different sedimentary settings, such as intra-platform basin, slope, and deep basin, are still poorly understood. In this paper, based mainly on elemental geochemistry, a comprehensive study of the marine redox conditions, primary productivity, sedimentation rate, terrigenous input, hydrothermal activity, and water mass restrictions was conducted on the Early Cambrian Niutitang black shale in the Upper Yangtze Region. Our data showed that an intra-platform basin received a higher terrigenous input and that it deposited under more restricted conditions than the slope and deep basin settings. The primary productivity in the slope and deep basin settings was higher than that in the intra-platform basin setting. In the intra-platform basin, the productivity increased from its inner part to its margin. For the slope and deep basin settings, the high paleoproductivity generated large amounts of organic matter and its preservation was synergistically affected by the redox conditions. In contrast to the slope and deep basin, the preservation of organic matter in the inner part of the intra-platform basin was mainly controlled by redox conditions because the paleoproductivity in it was much lower than in the slope and deep basin settings. The intra-platform basin margin was the most favorable area for accumulating organic matter.

19 December 2024 in Circuits, Systems, and Signal Processing
Verified
Journal Article
Closed access
PDF file
HLHaiqun Liu
Haiqun Liu
YCYi Chen
Yi Chen
GSGuowei Shen
Guowei Shen
DDDon't Don't
Don't Don't
YCYunhe Cui
Yunhe Cui