Weifeng Zhang

Beijing National Laboratory for Molecular Sciences

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Baowen Xu

Nanjing University

Zifeng Cui

Southeast University

Huayong Chen

Guangzhou Institute of Geochemistry

Han Jinsheng

Hebei Medical University

Deng Cai

Shenzhen University

Zhengkai Tu

Huazhong University of Science and Technology

Chao Xiang

Southern Medical University

Jianhan Huang

North China University of Water Resources and Electric Power

Xu Junling

Southeast University

Wanjian Lu

Guangdong University Of Finances and Economics

Cooperative Institutions

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Southeast University

Zhejiang University

Huazhong University of Science and Technology

Tsinghua University

Beijing Institute of Technology

Nanjing University of Posts and Telecommunications

University of Electronic Science and Technology of China

Chinese Academy of Medical Sciences & Peking Union Medical College

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Mental Health Education Model for College Students

Journal of Guiyang University (2013)

Weifeng Zhang

College students are the hope of the motherland and the nation's future.Whether their mental health is good or not determines the country's development and revitalization of the nation.This article aims to analyze their psychological health status so as to come up with some solutions o this issue.

Psychological Health

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Design of Centroid Parameters of Dummy Heads Models Based on Chinese Anthropometric Dimensions

Zhongguo jixie gongcheng (2018)

Lingbo Yan Weifeng Zhang Libo Cao Jun Tang Hongliang Dai

Centroid

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Management and Plan of Undergraduates’ Mental Health Based on Keyword Extraction

Journal of Healthcare Engineering (2021)

Weifeng Zhang

Mental health issues are alarmingly on the rise among undergraduates, which have gradually become the focus of social attention. With the emergence of some abnormal events such as more and more undergraduates’ suspension, and even suicide due to mental health issues, the social attention to undergraduates’ mental health has reached a climax. According to the questionnaire of undergraduates’ mental health issues, this paper uses keyword extraction to analyze the management and plan of undergraduates’ mental health. Based on the classical TextRank algorithm, this paper proposes an improved TextRank algorithm based on upper approximation rough data-deduction. The experimental results show that the accurate rate, recall rate, and F1 of proposed algorithm have been significantly improved, and the experimental results also demonstrate that the proposed algorithm has good performance in running time and physical memory occupation.

Keyword extraction

10.1155/2021/3361755

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Quality Evaluation of Online Mental Health Education Based on Reinforcement Learning in the Pandemic

RePEc: Research Papers in Economics (2021)

Weifeng Zhang

Pandemic

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SARC: Split-and-Recombine Networks for Knowledge-Based Recommendation

Weifeng Zhang Yi Cao Congfu Xu

Utilizing knowledge graphs (KGs) to improve the performance of recommender systems has attracted increasing attention recently. Existing path-based methods rely heavily on manually designed meta-paths, while embedding-based methods focus on incorporating the knowledge graph embeddings (KGE) into recommender systems, but rarely model user-entity interactions, which can be used to enhance the performance of recommendation. To overcome the shortcomings of previous works, we propose SARC, an embedding-based model that utilizes a novel Split-And-ReCombine strategy for knowledge-based recommendation. Firstly, SARC splits the user-item-entity interactions into three 2-way interactions, i.e., the user-item, user-entity and item-entity interactions. Each of the 2-way interactions can be cast as a graph, and we use Graph Neural Networks (GNN) and KGE to model them. Secondly, SARC recombines the representation of users and items learned from the first step to generates recommendation. In order to distinguish the informative part and meaningless part of the representations, we utilize a gated fusion mechanism. The advantage of our SARC model is that through splitting, we can easily handle and make full use of the 2-way interactions, especially the user-entity interactions, and through recombining, we can extract the most useful information for recommendation. Extensive experiments on three real-world datasets demonstrate that SARC outperforms several state-of-the-art baselines.

Knowledge graph

Representation

Feature Learning

Graph Embedding

10.1109/ictai.2019.00096

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Tourist Routs Recommendation Based on Latent Dirichlet Allocation Model

Zhiqiang He Zhongyi Wu Bochong Zhou Lei Xu Weifeng Zhang

Tourism is an indispensable part of our life nowadays. At the same time, DIY tours become more and more popular. Traditionally, people have to spend a lot of time browsing websites and reading travel notes to select a suitable tourist route. With the help of tourist routes recommendation system, people can obtain their tourist routes satisfying their demands automatically. We improve a tourist routes recommendation system which based on Latent Dirichlet Allocation (LDA) model. The recommendation system firstly uses LDA model to dig out the hidden theme from a large number of documents. Then, by using Collaborative Filtering algorithm, grades are generated for each user to each travel routes. In this way, we can determine which route is most suitable to the user clearly. Our evaluation results indicate that our recommendation system is effective and has high level of satisfaction with user's hobbies and interests.

Theme (computing)

10.1109/wisa.2015.66

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スカルン型鉱床での短波赤外スペクトル技術の適用-東南銅緑山銅鉄金鉱床を例に-【JST・京大機械翻訳】

Kuangchuang Dizhi (2017)

Shitao Zhang Huayong Chen Zhang Xiaobo Weifeng Zhang Xu Chao

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A Framework to build an object oriented mathematical tool with computer algebra system (CAS) capability

International Conference on Semantic Computing (ICSC 2007) (2007)

Zifeng Cui Xu Baowen Weifeng Zhang Dawei Jiang Xu Junling

Computer Algebra System (CAS) applications are mathematical applications developed with the purpose of solving mathematical problems which are too difficult or even impossible to solve by hand. Modern versions of CAS applications are known for their rather large set of features such as support for graphical representations of results, symbolic manipulation, big-integer calculations, and complex-number arithmetic. The proposed idea in developing framework for a mathematical tool with CAS capability is derived from the motivation of object oriented design that integrate each application process in terms of an independent object module. Additional motivation is scalability and interface, meaning more functionality can be integrated without changing any core existed module, that is just create a new object and plug in.

Interface (matter)

10.1109/icsc.2007.21

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Citations (15)

By vector graphics means to explain phase balanceable principle based on tri-port oscillator

Journal of Pingdingshan Institute of Technology (2007)

Weifeng Zhang

During studying tri-port oscillator in high-frequency circuit,when satisfying amplitude balanceable condition to distinguish whether phase balanceable condition can be satisfied or not by emission-same and other electrode-reverse principle,this paper brought forward vector graphics means to explain this principle.This method is accepted simply and clearly.

Port (circuit theory)

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Modeling Users' Visiting Behaviors for Web Load Testing by Continuous Time Markov Chain

Lei Xu Weifeng Zhang Lianjie Chen

Virtual users with high quality are the preconditions to ensure the effect of load testing for Web applications. The existed tools for load testing usually generate virtual users with randomly choosing user sessions, manually generating user sessions or mining Log files, which causing such problems as non-real workload, subjectivity or difficult to update. Therefore we set each virtual user with a corresponding configure file, and these files determine the visiting paths, visiting moments and stay time of virtual users based on the Continuous Time Markov Chain. So we firstly finish the pretreatment for Log files, then construct the user visiting model, and next generate the virtual users, lastly carry out the load testing. In this way, we can obtain more reliable results for Web application load testing than the existed methods.

10.1109/wisa.2010.47

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Citations (4)