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Wenbo Xu(许文博 in Chinese) is currently an MPhil student at The Hong Kong University of Science and Technology (Guangzhou). His heart-dream is to be a professor in a university or a college since he is thirsty for research and enjoys supervising students. He is interested in DSA(Data Science and Analysis), AI(Artificial Intelligence), CMA(Computational Media and Arts), INTR(Intelligent Transportation), IPE(Innovation, Policy and Entrepreneurship) and UGOD(Urban Governance and Design) Thrust. He is greatly willing to be supervised by Professors in those Thrusts. He holds a strong belief that he would keep on doing research and finally make outstanding achievements in his research fields.

Research Interests: Social Computing; Data-Centric Evaluation and Informetrics; Decision-Making and Optimization; Emergencies…

Other Relative Research Fields about Information Resources Management and Computational Social Science are welcome.

Academic Supervisor: Prof. Pan Hui(GZ, CMA Thrust)

Project Supervisor: Prof. Jingwei Yang(GZ, CFT)

Co-Supervisor: Prof. Yu Guo(JLU)

Contact him at: wxu365 at connect dot hkust-gz dot edu dot cn

From now on, a history belonging to him is being recorded.

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Education

Now ⠀⠀⠀	M.Phil., Red Bird Master of Philosophy, Hong Kong University of Science and Technology, Guangzhou
	Computational Media and Art Thrust, Information Hub, Master of Philosophy
2024⠀⠀	B.M., Information Management and Information System, Jilin   University, Changchun
	Outstanding Graduate of Jilin University Thesis: Research on the Decision Efficiency and Influencing Factors of Smart Government under the TOE Framework for Emergencies
	Advisor: Prof. Haitao Zhang
	Major Field: Emergencies, Smart Government, Emergency Decision-Making; Efficiency Evaluation; Influencing Factor
2024 ⠀⠀	B.S., Computer Science and Technology, Jilin  University, Changchun
	Thesis: Research on Convolutional Action Recognition Algorithm of Self- Attention Graph Based on Human Skeleton
	Advisor: Prof. Haipeng Chen
	Major Field: Self-attention Mechanism, GCN, Human Action Recognition, Human Skeleton Sequences

Research Experience

	Working on:
	Searching for the Cure: How Information Resources Act in Digital Governance When Emergencies Happen
	Wenbo, Xu; Pan, Hui
	GLAMs in Metaverse: Roles in the Future
	Wenbo, Xu; Pan, Hui; Gongkun, Chen; Yunsong, Dai; Zixu, Wang. ASIS&T 25
	GraphRAG BRS: A Combination of LLM, RAG, and KG Makes Book Recommendation System Great Again Wenbo, Xu; Pan, Hui; Zeyu, Yang; Gongkun, Chen; Yunsong, Dai. ASIS&T 25 Digital Footprints: Computational Insights into Human Social Behavior Wenbo, Xu; Yixuan, Xie; Mingchen, Li; Wenqing, Gu; Xinyu, Liu; Shiqi, Liu; Weipeng, Chen; Xiaoyu, Yang; Yao, Zhou… Supervisor: Jingwei, Yang; Pan, Hui; Muzhi, Zhou; Wufan, Zhao.
2024	Evaluation of the Efficiency of Emergency Decision-Making in Smart Government: From the Perspective of Input-Output
	Wenbo, Xu; Haitao, Zhang. Received by The China Congress on Project Management & International Forum on Chinese Characteristic and Cross-culture Project Management 2024
2024	Research on the Decision Efficiency and Influencing Factors of Smart Government under the TOE Framework for Emergencies
	Wenbo, Xu; Haitao, Zhang. ·expounded the concept of emergency decision-making efficiency of smart government from the perspective of input and output ·proposed a method to evaluate the emergency decision-making efficiency of smart government ·proposed an analytical framework for the influencing factors of emergency decision-making efficiency of smart government ·connected emergency intelligence and emergency decision-making with smart government and smart city from a macro perspective ·introduced theories from other disciplines to solve the problem in this interdisciplinary field ·evaluated the emergency decision-making efficiency of smart governments in 31 provincial-level regions in China in the past five years ·explored the influencing factors and specific influencing mechanisms of the efficiency, which proves that the content of this study is innovative, feasible, practical and scientific when applied to practice.
2024	Tennis Players’ Momentum Monitoring & Momentum Changes Analysis
	Wenbo, Xu; Gongkun, Chen; Yunsong, Dai; Wenlei, Li. ·used the method of principal component analysis to determine some variables that can have an impact on the “momentum” ·tried to give a momentum monitoring model ·used the Monte Carlo simulation method to determine the coefficient group with the best fitting effect of the model ·used the K-S test to verify that the value of momentum and the outcome of the game approx-imately satisfy the same distribution function ·found that the coach’s view was wrong and that the value of momentum was correlated with the outcome of the game ·determine the variables such as direction of serve, depth of return, etc., that had a greater im-pact on the change in momentum direction ·tried to traverse all the values of the variable to test the sensitivity of the model ·took data from five tennis matches in 2017 ATP and used them to validate the effectiveness of our model when applied to other types of matches
2023	Research on the Measurement of Emergency Network Public Opinion Heat Based on K-Means Clustering
	Wenbo, Xu; Haitao, Zhang; Yu, Luan. ·proposed a K-Means clustering based method for measuring the popularity of online public opinion in emergencies ·obtained the relevant data of the emergency search index, and after centralizing the data ·used the K-Means clustering analysis method to measure the popularity of emergency online public opinion ·through centralized processing of multiple sets of data, the time span information and search index information of the emergency network public opinion popularity could be classified into a statistical representation ·the K-Means clustering analysis method clustered the centralized statistics Classes used to measure the popularity of public opinion ·took the “2.22 Alashan Left Banner Coal Mine Collapse Accident” as an example for empirical research
2023	Research on Convolutional Action Recognition Algorithm of Self- Attention Graph Based on Human Skeleton
	Wenbo, Xu; Haipeng, Chen. ·proposed an adaptive graph convolution action recognition algorithm based on human bones ·extracted the skeleton data from the input video sequence and constructed a graph sequence to represent the spatiotemporal information of the action ·used the graph convolutional neural network (GCN) with a self-attention mechanism to extract discriminative spatiotemporal features from the graph sequence ·used a support vector machine (SVM) classifier to classify the action based on the extracted feature vector
2023	Predicting and Classifying Wordle Results Based on Regression and Machine Learning
	Wenbo, Xu; Yang, Ding; Zhe, Sun; Fukang, Zhu. ·established an ARIMA time series analysis model to predict the number of reported results and number in hard mode in a period of sixty days ·proved that the word attributes have an impact on the composition of scores, and the coeffi-cients of variables in the regression equation represent the impact of different attributes on scores ·established a partial least squares regression model to predict the distribution of the reported results ·predicted the results of the word EERIE on March 1, 2023 ·verified the uncertainties and confidence of the model ·used Independence Weight Coefficient to set the weight for the distribution of the reported results in the existing data ·calculated the comprehensive score of each word puzzle ·established a difficulty classification model according to the statistical rule of the score se-quence ·separately classified the word puzzle in the existing data ·calculated the comprehensive score of each word puzzle ·used the machine learning method to build a decision tree model to determine the relationship between word attributes and difficulty and classify the word EERIE into the “easy” class ·listed and described the interesting features found in the analysis of data
2023	Research and Practice of Intelligent Prediction Model of Network Public Opinion for Emergencies
	Zhenyang, Luo; Jiaming, Yang; Xueqing, Jin; Wenbo, Xu. Supervisor: Jie, Ma. ·A core participant in the research and practical scientific research on the intelligent prediction model of emergency network public opinion. This project is directed by Professor Ma Jie, Vice Dean of the School of Business and Management of Jilin University, through the construction of an integrated emergency network public opinion ontology, rule reasoning module, and case reasoning.  ·The module’s emergency network public opinion intelligent prediction model can effectively predict public opinion issues using previous case knowledge and provide auxiliary governance solutions. ·In this project, he is responsible for crawling emergency network public opinion data, developing a public opinion monitoring platform, and writing documents and research reports.
2023	Research on the Basic Attributes and Behavioral Characteristics of Steam User Population in the Mainstream Game Application Market
	Wenbo, Xu. ·Officially accepted by the provincial key journal “Digital User” | First author, independent author popularity of emergencies based on K-Means clustering. ·Taking Chinese gamers and Steam users in the mainstream game application market as the main research objects, I analyze their behaviors and characteristics.
2022	Water and Hydroelectric Power Distribution and Equilibrium Models Based on Linear Programming
	Wenbo, Xu; Guancheng, Ji; Yu, Zhao; Feng, Yi. ·analyzed the data and built a simple reservoir model after investigating the data about Glen Canyon Dam and Hoover Dam in some official web-sites ·realized that there were many constraints in the process of transferring water from the res-ervoir to the five states ·established a linear programming model to formulate a water resource allocation plan by find-ing the maximum sum of the benefit values of general usage and hydropower electrici-ty production ·took Mexico’s rights into account so it is able to know how much water will flow into the Gulf of California from the Colorado River ·used AHP to resolve the competing interests of water availability for general (agricultural, indus-trial, residential) usage and electricity production ·addressed what should be done if there was not enough water to meet all water and electricity demands ·sensitivity analysis on the change of multi-coefficient
2022	Research on the Classification and Composition Analysis of Ancient Glass Products
	Wenbo, Xu; Guancheng, Ji; Yu, Zhao; Kaidong Cheng. ·This article aimed at the classification and composition analysis of ancient glass products, using Spearman correlation coefficient test, machine learning decision tree, partial least squares multiple linear regression prediction, cluster analysis, principal component analysis, and independent sample MannWhitney test to achieve glass Classification of cultural relics, classification, prediction, and difference testing of chemical components of glass cultural relics.
2021	Modeling and Solving the Problem of Preparing C4 Olefins from Ethanol Coupling
	Wenbo, Xu; Guancheng, Ji; Yu, Zhao; Ying, Dong. ·This paper mainly explored the process conditions for the preparation of olefins by catalytic coupling of ethanol by analyzing the experimental data obtained in the context of the problem. It used cluster analysis, interpolation, sorting algorithms and other methods, and established a data model to answer the question.
2021	“ILLC( I Love Low Carbon)” Carbon Emission Monitoring and Early Warning Platform
	Wenbo, Xu; Qiuheng, Li; Yingyu, Wu; Gongkun, Chen; Hongliang, Shao; Guancheng, Ji; Dapeng, Sun; Zihan, Yang. Supervisor: Tianshi, Zhang; Yingai, Zhang; Zhipeng, Jiang; Wei, Song. ·“ILLC (I Love Low Carbon)” is a B2C service platform based on mobile Internet technology that provides information related to carbon emissions. It is committed to providing professional, real-time and accurate data references for every mobile phone user, especially those who pay attention to environmental protection, low-carbon energy saving and the majority of car owners. It also provides users with suggestions on reducing carbon emissions through user analysis methods such as big data technology, and promptly issues warnings to users whose carbon emissions exceed the standard, calling on every user to respond to national policies, reduce carbon emissions and build a green home together.

Scholarships/Honors

2024	Outstanding Paper in The China Congress on Project Management & International Forum on Chinese Characteristic and Cross-culture Project Management 2024
2024	PGS in HKUST(GZ)
2024	Academic Scholarship in JLU
2024	College Excellent Student Leader in JLU
2024	College Excellent Student in JLU
2024	Second Class Scholorship in JLU
2024	Excellent League Member in JLU
2023	Academic Scholorship in JLU
2023	University Excellent Student Leader in JLU
2023	College Excellent Student in JLU
2023	Second Class Scholorship in JLU
2023	Excellent Member of Summer Camp in NUDT( National University of Defense Technology)
2023	Excellent Member of Summer Camp in AMS( Academy of Military Science)
2022	Academic Scholorship in JLU
2022	Third Class Scholorship in JLU
2021	Third Class Scholorship in JLU
2021	Student Model in the School of Management, JLU

Awards

2023	HONORABLE MENTION at MCM/ICM.(As Leader)
2023	China International “Internet +” College Student Innovation and Enterperneurship Competition Province-Level Bronze Award.(As Second Member)
2023	Third Prize of the National College English Competition
2022	HONORABLE MENTION at MCM/ICM.(As Leader)
2022	Second Prize at Province Level at China Undergraduate Mathematical Contest in Modeling.(As Leader)
2022	China International “Internet +” College Student Innovation and Enterperneurship Competition Provincial Proposition, Industrial Proposition Track.(As Leader)
2021	Third Prize at Province Level at The Chinese Mathematics Competitions
2021	China International “Internet +” College Student Innovation and Enterperneurship Competition School-Level Gold Award.(As Leader)
2021	China International “Internet +” College Student Innovation and Enterperneurship Competition Provincial Proposition, Industrial Proposition Track.(As Leader)
2021	“Creating Youth” Innovation and Enterperneurship Competition Province-Level Award.(As Leader)