TITLE/POSITION
Director of Data-driven Smart City, Transportation, and Logistics Laboratory
lmzhang@sribd.cn
EDUCATION BACKGROUND
PhD, CUHKSZ
MS, Nanjing University
BS, Northwest University
BIOGRAPHY
Dr. Zhang Lianmin currently serves as the Director and Senior Research Scientist at the Data-driven Smart City, Transportation, and Logistics Laboratory of SRIBD. He previously held the position of Associate Professor at the School of Engineering Management at Nanjing University. His primary research focuses on data-driven operations management.
Dr. Zhang Lianmin has authored more than 40 academic papers in international SCI/SSCI journals such as Operations Research, Production and Operations Management, Naval Research Logistics, Decision Science, Transportation Research Part B, European Journal of Operational Research, Computers and Operational Research, International Journal of Production Research, and Transportation Research Part E.
In recent years, he has been the principal investigator for several natural science fund projects. He currently holds positions as a council member of the China Logistics Society, a council member of the China Operational Research Society's Sorting Branch, and a council member of the Guangdong Operational Research Society's Logistics Branch. He also serves as a communication and review expert for the Research Grants Council (RGC) in Hong Kong and as a reviewer for top international journals such as Operations Research.
PERSONAL WEBSITE
https://lianminzhang2021.github.io
ACADEMIC PUBLICATIONS
Book Chapter
Scheduling with Stochastic Approaches. In Sequencing and Scheduling with Inaccurate Data, Editors: Yuri N. Sotskov and Frank Werner, Nova Science, 2013. (with X.Cai, X.Wu, X.Zhou)
Selected Journal Publication
[1] The Inventory Routing Problem under Uncertainty. Operations Research, 71(1), 378-395, 2023. (with Z.Cui, D.Long, J.Qi)
[2] Target-based Inventory Pooling Problem. Forthcoming at Production and Operations Management.(with Z.Cui, J.Ding, D. Long)
[3] Cost Sharing for Capacity Transfer in Cooperating Queueing Systems, Production and Operations Management, 27(4), 644-662, 2018.(with Y.Zeng, X.Cai, J.Li)
[4] Population Monotonic Allocation Schemes for the Two-Period Economic Lot-Sizing Games, Operations Research Letters. 51, 296-303，2023.(with Q.Jin, Y.Wu, Y.Zeng)
[5] Pricing Optimization under the Extended Nested Logit Model. Operations Research Letters. 51, 54-59，2023.(with L.Li, M.Li, H.Zhang)
[6] Store Brand Introduction in a Dual-Channel Supply Chain: The Roles of Quality Differentiation and Power Structure. OMEGA-The International Journal of Management Science. 116, 1-12, 102802, 2023.(with Y.Xiao, W.Niu, W.Xue)
[7] Pricing Optimization and Competition under the Linear Nested Stochastic Choice Model, Naval Research Logistics. 69(2), 201-222,2022. (with L.Li, M.Li, G.Ke)
[8] Target-oriented Location-transportation Problem with Service-level Measure. Transportation Research Part B: Methodological. 153, 1-20,2021. (with X.Wang, Y.Kuo, H.Shen)
[9] Optimal Purchasing Policy for Fresh Products from Multiple Supply Sources with Considerations of Random Delivery Times, Risk, and Information, Decision Sciences. 51(6), 1377-1410,2020.(with X.Xu, X.Cai)
[10] What Do Institutional Investors Bring to Initial Coin Offerings(ICOs)? Transportation Research Part E: Logistics and Transportation Review. Forthcoming. 2022.(with S.Wang, X.Cai, L.Guan)
[11] Target-based Parallel machine total weighted completion time. International Journal of Production Research. Forthcoming. 2022. (with Y.Li, Y.Kuo, R.Li, H.Shen)
[12] Demand Forecasts with Judgement Bias in a Newsvendor Problem. International Journal of Production Research. Forthcoming. 2022. (with Y.Zheng, J.Li, Q.Fu)
[13] Is Group-Buying Price Mechanism a Good Choice in the Business-to-Business Systems? International Transaction of Operations Research. 2022. (with L.Guan, W.Gu, W.Niu)
[14] The Value of the Physical Internet on the Meals-On-Wheel Delivery Systems, International Journal of Production Economics. Forthcoming. 2022. (with M.Lin, S.Lin, L.Ma)
[15] Power Structure and Decarbonizing Investment under Innovation Uncertainty: A Triple Bottom Line Analysis. Transportation Research Part E: Logistics and Transportation Review. Forthcoming. 2022. (with W.Niu, H.Shen)
[16] Optimal Group-buying Price Strategy Considering the Information Sharing of the Seller and Buyers in Social E-commerce. International Transaction of Operations Research. 29(3), 1769-1790, 2022.(with L.Guan, H.Chen, H.Ma)
[17] Target-based Distributionally Robust Optimization for Single Machine Scheduling. European Journal of Operational Research.299, 420-431, 2022. (with H.Lu, Z.Pei, Q.Jin)
[18] Balancing the Profit and Capacity under Uncertainties: A Target-based Distributionally Robust Knapsack Problem. International Transaction of Operations Research. 29(2), 760-782, 2022. (with J.Ding, L.Chen, G.Ke, Y.Li)
[19] Project Scheduling and Resources Allocation Based on Cooperative Games Theory, Annals of Operations Research. 301, 121-141, 2021.(with X.Lin, J. Zhou, Y.Zeng)
[20] Target-Based Project Crashing Problem by Adaptive Distributionally Robust Optimization, Computer and Industrial Engineering. 107160, 2021.(with Z.Cui, Y.Li, H.Shen)
[21] 3PL Firm’s Equity Financing for Technology Innovation in a Platform Supply Chain. Transportation Research Part E: Logistics and Transportation Review. 147, 102239, 1-20, 2021.(with H.Fu, G.Ke, Z.Lian)
[22] Revenue Sharing for Resource Transfer among Projects, Computer and Operations Research. 127, 105156, 1-14, 2021.(with X.Lin, X.Cai, J.Zhou, Y.Zeng)
[23] Who Is Better Off by Selling Extended Warranties in the Supply Chain: the Manufacturer, the Retailer, or Both? Annals of Operations Research. Forthcoming. 2021 (with L.Guan, D.Long, H.Shen, H.Tang)
[24] Single-Item Repairable Inventory System with New and Warranty Demand. Transportation Research Part E: Logistics and Transportation Review.142, 102035, 1-17, 2020. (with Y.Lin, J.Leung, J.Gu)
[25] Scheduling the Distribution of Perishable Products: A Vendor-managed Inventory Routing Approach. Transportation Research Part E: Logistics and Transportation Review. 140, 101964, 2020. (with W.Liu, G.Ke, J.Chen)
[26] Heterogeneous Suppliers’ Contract Design in Assembly Systems with Asymmetric Information. European Journal of Operational Research. 286, 140-163, 2020. (with Y.Lan, X.Cai, C.Shang, R.Zhao)
[27] Keep It or Give Back? Optimal Pricing Strategy of Reward-based Crowdfunding with Hybrid Mechanism, International Journal of Production Research. 58(22), 6868-6889, 2020.(with L.Guan, Y.Mu, X.Xu, J.Zhuang)
TITLE/POSITION
Director of Data-driven Smart City, Transportation, and Logistics Laboratory
lmzhang@sribd.cn
EDUCATION BACKGROUND
PhD, CUHKSZ
MS, Nanjing University
BS, Northwest University
BIOGRAPHY
Dr. Zhang Lianmin currently serves as the Director and Senior Research Scientist at the Data-driven Smart City, Transportation, and Logistics Laboratory of SRIBD. He previously held the position of Associate Professor at the School of Engineering Management at Nanjing University. His primary research focuses on data-driven operations management.
Dr. Zhang Lianmin has authored more than 40 academic papers in international SCI/SSCI journals such as Operations Research, Production and Operations Management, Naval Research Logistics, Decision Science, Transportation Research Part B, European Journal of Operational Research, Computers and Operational Research, International Journal of Production Research, and Transportation Research Part E.
In recent years, he has been the principal investigator for several natural science fund projects. He currently holds positions as a council member of the China Logistics Society, a council member of the China Operational Research Society's Sorting Branch, and a council member of the Guangdong Operational Research Society's Logistics Branch. He also serves as a communication and review expert for the Research Grants Council (RGC) in Hong Kong and as a reviewer for top international journals such as Operations Research.
PERSONAL WEBSITE
https://lianminzhang2021.github.io
ACADEMIC PUBLICATIONS
Book Chapter
Scheduling with Stochastic Approaches. In Sequencing and Scheduling with Inaccurate Data, Editors: Yuri N. Sotskov and Frank Werner, Nova Science, 2013. (with X.Cai, X.Wu, X.Zhou)
Selected Journal Publication
[1] The Inventory Routing Problem under Uncertainty. Operations Research, 71(1), 378-395, 2023. (with Z.Cui, D.Long, J.Qi)
[2] Target-based Inventory Pooling Problem. Forthcoming at Production and Operations Management.(with Z.Cui, J.Ding, D. Long)
[3] Cost Sharing for Capacity Transfer in Cooperating Queueing Systems, Production and Operations Management, 27(4), 644-662, 2018.(with Y.Zeng, X.Cai, J.Li)
[4] Population Monotonic Allocation Schemes for the Two-Period Economic Lot-Sizing Games, Operations Research Letters. 51, 296-303，2023.(with Q.Jin, Y.Wu, Y.Zeng)
[5] Pricing Optimization under the Extended Nested Logit Model. Operations Research Letters. 51, 54-59，2023.(with L.Li, M.Li, H.Zhang)
[6] Store Brand Introduction in a Dual-Channel Supply Chain: The Roles of Quality Differentiation and Power Structure. OMEGA-The International Journal of Management Science. 116, 1-12, 102802, 2023.(with Y.Xiao, W.Niu, W.Xue)
[7] Pricing Optimization and Competition under the Linear Nested Stochastic Choice Model, Naval Research Logistics. 69(2), 201-222,2022. (with L.Li, M.Li, G.Ke)
[8] Target-oriented Location-transportation Problem with Service-level Measure. Transportation Research Part B: Methodological. 153, 1-20,2021. (with X.Wang, Y.Kuo, H.Shen)
[9] Optimal Purchasing Policy for Fresh Products from Multiple Supply Sources with Considerations of Random Delivery Times, Risk, and Information, Decision Sciences. 51(6), 1377-1410,2020.(with X.Xu, X.Cai)
[10] What Do Institutional Investors Bring to Initial Coin Offerings(ICOs)? Transportation Research Part E: Logistics and Transportation Review. Forthcoming. 2022.(with S.Wang, X.Cai, L.Guan)
[11] Target-based Parallel machine total weighted completion time. International Journal of Production Research. Forthcoming. 2022. (with Y.Li, Y.Kuo, R.Li, H.Shen)
[12] Demand Forecasts with Judgement Bias in a Newsvendor Problem. International Journal of Production Research. Forthcoming. 2022. (with Y.Zheng, J.Li, Q.Fu)
[13] Is Group-Buying Price Mechanism a Good Choice in the Business-to-Business Systems? International Transaction of Operations Research. 2022. (with L.Guan, W.Gu, W.Niu)
[14] The Value of the Physical Internet on the Meals-On-Wheel Delivery Systems, International Journal of Production Economics. Forthcoming. 2022. (with M.Lin, S.Lin, L.Ma)
[15] Power Structure and Decarbonizing Investment under Innovation Uncertainty: A Triple Bottom Line Analysis. Transportation Research Part E: Logistics and Transportation Review. Forthcoming. 2022. (with W.Niu, H.Shen)
[16] Optimal Group-buying Price Strategy Considering the Information Sharing of the Seller and Buyers in Social E-commerce. International Transaction of Operations Research. 29(3), 1769-1790, 2022.(with L.Guan, H.Chen, H.Ma)
[17] Target-based Distributionally Robust Optimization for Single Machine Scheduling. European Journal of Operational Research.299, 420-431, 2022. (with H.Lu, Z.Pei, Q.Jin)
[18] Balancing the Profit and Capacity under Uncertainties: A Target-based Distributionally Robust Knapsack Problem. International Transaction of Operations Research. 29(2), 760-782, 2022. (with J.Ding, L.Chen, G.Ke, Y.Li)
[19] Project Scheduling and Resources Allocation Based on Cooperative Games Theory, Annals of Operations Research. 301, 121-141, 2021.(with X.Lin, J. Zhou, Y.Zeng)
[20] Target-Based Project Crashing Problem by Adaptive Distributionally Robust Optimization, Computer and Industrial Engineering. 107160, 2021.(with Z.Cui, Y.Li, H.Shen)
[21] 3PL Firm’s Equity Financing for Technology Innovation in a Platform Supply Chain. Transportation Research Part E: Logistics and Transportation Review. 147, 102239, 1-20, 2021.(with H.Fu, G.Ke, Z.Lian)
[22] Revenue Sharing for Resource Transfer among Projects, Computer and Operations Research. 127, 105156, 1-14, 2021.(with X.Lin, X.Cai, J.Zhou, Y.Zeng)
[23] Who Is Better Off by Selling Extended Warranties in the Supply Chain: the Manufacturer, the Retailer, or Both? Annals of Operations Research. Forthcoming. 2021 (with L.Guan, D.Long, H.Shen, H.Tang)
[24] Single-Item Repairable Inventory System with New and Warranty Demand. Transportation Research Part E: Logistics and Transportation Review.142, 102035, 1-17, 2020. (with Y.Lin, J.Leung, J.Gu)
[25] Scheduling the Distribution of Perishable Products: A Vendor-managed Inventory Routing Approach. Transportation Research Part E: Logistics and Transportation Review. 140, 101964, 2020. (with W.Liu, G.Ke, J.Chen)
[26] Heterogeneous Suppliers’ Contract Design in Assembly Systems with Asymmetric Information. European Journal of Operational Research. 286, 140-163, 2020. (with Y.Lan, X.Cai, C.Shang, R.Zhao)
[27] Keep It or Give Back? Optimal Pricing Strategy of Reward-based Crowdfunding with Hybrid Mechanism, International Journal of Production Research. 58(22), 6868-6889, 2020.(with L.Guan, Y.Mu, X.Xu, J.Zhuang)
Title/Position
SRIBD Engineer
Research Area:
Big Data Analytics, Machine Learning, Data Mining
shuhanwu@sribd.cn
Educational Background
Master of Science in Statistics, The University of Hong Kong
Bachelor of Science in Statistics, The Chinese University of Hong Kong
Personal Introduction：
Govern, integrate, and analyze government data for policy evaluation, industry research, and demographic profiling by using fundamental statistical theory and methods, combined with big data analytics techniques such as machine learning and data mining
Have excellent report writing and data visualization skills. Have assisted companies in completing industry research, customer research, and other research reports. Could independently develop BI dashboards and create visual displays for data.
Title/Position
SRIBD Engineer
Research Area:
Big Data Analytics, Machine Learning, Data Mining
shuhanwu@sribd.cn
Educational Background
Master of Science in Statistics, The University of Hong Kong
Bachelor of Science in Statistics, The Chinese University of Hong Kong
Personal Introduction：
Govern, integrate, and analyze government data for policy evaluation, industry research, and demographic profiling by using fundamental statistical theory and methods, combined with big data analytics techniques such as machine learning and data mining
Have excellent report writing and data visualization skills. Have assisted companies in completing industry research, customer research, and other research reports. Could independently develop BI dashboards and create visual displays for data.
POSITION/TITLE
SRIBD: Data Engineer
RESEARCH FIELD
development of law popularization software project, development and maintenance of large-scale legal database
wangtianxiang@163.com
EDUCATION BACKGROUND
Master in Software Engineering from Nanchang University; Bachelor in Electronic Information Engineering from Huanggang Normal University
BIOGRAPHY
Wang Tianxiang currently works as a data engineer at the Social Behavior Big Data Lab at Shenzhen Research Institute of Big Data, mainly responsible for the development and maintenance of large-scale legal databases. Before joining SRIBD, he served as a senior Android engineer in Xiaotiancai with many years of front-end and system development experience, and mastered mainstream front-end and back-end related technologies such as java, Python, Android, TensorFlow, gitlab, MySQL, and clickhouse.
POSITION/TITLE
SRIBD: Data Engineer
RESEARCH FIELD
development of law popularization software project, development and maintenance of large-scale legal database
wangtianxiang@163.com
EDUCATION BACKGROUND
Master in Software Engineering from Nanchang University; Bachelor in Electronic Information Engineering from Huanggang Normal University
BIOGRAPHY
Wang Tianxiang currently works as a data engineer at the Social Behavior Big Data Lab at Shenzhen Research Institute of Big Data, mainly responsible for the development and maintenance of large-scale legal databases. Before joining SRIBD, he served as a senior Android engineer in Xiaotiancai with many years of front-end and system development experience, and mastered mainstream front-end and back-end related technologies such as java, Python, Android, TensorFlow, gitlab, MySQL, and clickhouse.
POSITION/TITLE
SRIBD Senior Engineer
RESEARCH FIELD
Information and Communication Engineering
chenaijun@sribd.cn
EDUCATION BACKGROUND
Radio Technology Major, Xi'an Jiaotong University
BIOGRAPHY
Adrian Chen, a wireless communication expert, has been engaged in wireless product R & D in telecom equipment manufacturing enterprise for more than 20 years, and has a comprehensive understanding of communication systems. He is familiar with end-to-end networking of communication system from client, terminal, base station, transmission, core network to server. He understands the communication protocols of each layer from physical layer, link layer, network layer, transmission layer to application layer. He has deeply studied the behaviors of file transfer, web browsing, online video, mobile game and other services, so he is good at solving user experience problems. In 2010, he published the original serial blog of " Communication principles in simple terms " at c114 forum to share his understanding of communication principles with pictures and texts. So far, the number of visits has exceeded 13 million. In 2018, the book "Communication principles in simple terms" was written and published by Tsinghua University Press, which was highly praised by teachers, students and insiders.
POSITION/TITLE
SRIBD Senior Engineer
RESEARCH FIELD
Information and Communication Engineering
chenaijun@sribd.cn
EDUCATION BACKGROUND
Radio Technology Major, Xi'an Jiaotong University
BIOGRAPHY
Adrian Chen, a wireless communication expert, has been engaged in wireless product R & D in telecom equipment manufacturing enterprise for more than 20 years, and has a comprehensive understanding of communication systems. He is familiar with end-to-end networking of communication system from client, terminal, base station, transmission, core network to server. He understands the communication protocols of each layer from physical layer, link layer, network layer, transmission layer to application layer. He has deeply studied the behaviors of file transfer, web browsing, online video, mobile game and other services, so he is good at solving user experience problems. In 2010, he published the original serial blog of " Communication principles in simple terms " at c114 forum to share his understanding of communication principles with pictures and texts. So far, the number of visits has exceeded 13 million. In 2018, the book "Communication principles in simple terms" was written and published by Tsinghua University Press, which was highly praised by teachers, students and insiders.
POSITION/TITLE
SRIBD Data Engineer
RESEARCH FIELD
Law popularization software project development and big data mining of legal documents
sealong_soon@163.com
EDUCATION BACKGROUND
Master in Software Engineering at Nanchang University with concentration in big data mining;
Bachelor in Computer Science and Technology at Jiangxi University of Traditional Chinese Medicine with concentration in medical software development
BIOGRAPHY
Xiong Xiliang serves as a data engineer at the Social Behavior Big Data Lab at Shenzhen Research Institute of Big Data, mainly responsible for the development and maintenance of large-scale legal databases. Before joining SRIBD, he served as a project development engineer at Dafu Technology. He has many years of experience in back-end project development and masters mainstream front-end and back-end related technologies such as C#, Java, Python, node.js, Vue.js, Elasticsearch, MySQL, SQL Server, PostgreSQL, etc.
POSITION/TITLE
SRIBD Data Engineer
RESEARCH FIELD
Law popularization software project development and big data mining of legal documents
sealong_soon@163.com
EDUCATION BACKGROUND
Master in Software Engineering at Nanchang University with concentration in big data mining;
Bachelor in Computer Science and Technology at Jiangxi University of Traditional Chinese Medicine with concentration in medical software development
BIOGRAPHY
Xiong Xiliang serves as a data engineer at the Social Behavior Big Data Lab at Shenzhen Research Institute of Big Data, mainly responsible for the development and maintenance of large-scale legal databases. Before joining SRIBD, he served as a project development engineer at Dafu Technology. He has many years of experience in back-end project development and masters mainstream front-end and back-end related technologies such as C#, Java, Python, node.js, Vue.js, Elasticsearch, MySQL, SQL Server, PostgreSQL, etc.
POSITION/TITLE
SRIBD Data Engineer
RESEARCH FIELD
Quantitative Finance, Investment Analysis, Data Analysis, Data Mining
jiayuzhang@sribd.cn
EDUCATION BACKGROUND
Master of Science in Financial Econometrics from Johns Hopkins University
B.B.A in Finance from Chinese University of Hong Kong, Shenzhen
BIOGRAPHY
Combine financial theory, data analysis methods and quantitative analysis tools to conduct industry research and analyze market investment and strategies. She has assisted companies in industry research, valuation modeling, due diligence, and fixed-income portfolio analysis, and has excellent report writing, data analysis, and investment analysis capabilities.
OTHER OPTIONAL ENTRIES
Achievements/Honors: First price (municipal) and second price (provincial) in Webpage Design Contest
POSITION/TITLE
SRIBD Data Engineer
RESEARCH FIELD
Quantitative Finance, Investment Analysis, Data Analysis, Data Mining
jiayuzhang@sribd.cn
EDUCATION BACKGROUND
Master of Science in Financial Econometrics from Johns Hopkins University
B.B.A in Finance from Chinese University of Hong Kong, Shenzhen
BIOGRAPHY
Combine financial theory, data analysis methods and quantitative analysis tools to conduct industry research and analyze market investment and strategies. She has assisted companies in industry research, valuation modeling, due diligence, and fixed-income portfolio analysis, and has excellent report writing, data analysis, and investment analysis capabilities.
OTHER OPTIONAL ENTRIES
Achievements/Honors: First price (municipal) and second price (provincial) in Webpage Design Contest
POSITION/TITLE
SRIBD Data Engineer
RESEARCH FIELD
Data Analytics, Data Modeling, Digital Transformation
zhangshujuan@sribd.cn
EDUCATION BACKGROUND
Central University of Finance and Economics, Bachelor Degree
The Chinese University of Hong Kong, Master Degree
BIOGRAPHY
As a data engineer, I am responsible for projects related to data governance and digital transformation for government and enterprise. The main working contents include using data visualization methods to discover data patterns, using econometric methods to evaluate the effect of policy implementation, using machine learning and statistical tools to model and predict key indicators, in order to assist decision making process.
ACADEMIC PUBLICATIONS
Binkai Chen, Shujuan Zhang, Guangjun Shen, Can Compulsory Education Law Improve Intergenerational Mobility?, Journal of Financial Research, 2021, 492(6): 76-94
Chuanchuan Zhang, Shujuan Zhang, The Credibility Revolution in Empirical Economics: The Contribution of David Card, Journal of Central University of Finance & Economics, 2021, 0(12): 133-139
Acadamic Meetings:
Risk Early Warning and Hidden Danger Identification for Smart Cities Based on Big Data in Public Affairs, Chinese Association for Information Systems 2022, Reporter
Family support or social support: Evidence from Family Planning Policy in China, International Symposium on Contemporary Labor Economics 2019, Reporter
POSITION/TITLE
SRIBD Data Engineer
RESEARCH FIELD
Data Analytics, Data Modeling, Digital Transformation
zhangshujuan@sribd.cn
EDUCATION BACKGROUND
Central University of Finance and Economics, Bachelor Degree
The Chinese University of Hong Kong, Master Degree
BIOGRAPHY
As a data engineer, I am responsible for projects related to data governance and digital transformation for government and enterprise. The main working contents include using data visualization methods to discover data patterns, using econometric methods to evaluate the effect of policy implementation, using machine learning and statistical tools to model and predict key indicators, in order to assist decision making process.
ACADEMIC PUBLICATIONS
Binkai Chen, Shujuan Zhang, Guangjun Shen, Can Compulsory Education Law Improve Intergenerational Mobility?, Journal of Financial Research, 2021, 492(6): 76-94
Chuanchuan Zhang, Shujuan Zhang, The Credibility Revolution in Empirical Economics: The Contribution of David Card, Journal of Central University of Finance & Economics, 2021, 0(12): 133-139
Acadamic Meetings:
Risk Early Warning and Hidden Danger Identification for Smart Cities Based on Big Data in Public Affairs, Chinese Association for Information Systems 2022, Reporter
Family support or social support: Evidence from Family Planning Policy in China, International Symposium on Contemporary Labor Economics 2019, Reporter
POSITION/TITLE
Project manager，Public and Industrial Big Data Laboratory
songxianzhi@sribd.cn
EDUCATION BACKGROUND
M.S. International Business，Leeds University
B.A. History，Beijing Normal University
