POSITION/TITLE
Lab Director of SRIBD
Presidential Chair Professor of CUHKSZ
EDUCATION BACKGROUND
Ph.D. in Statistics, Texas A&M University
B.S. in Probability & Statistics, Minor in Economics, Peking University
RESEARCH FIELD
Spatial Statistics and its applications in Finance, Social Media, Epidemiology and other fields
BIOGRAPHY
Prof. Yongtao Guan is Presidential Chair Professor, Fellow of American Statistical Association. He was Leslie O. Barnes Professor and Chair of Management Science, University of Miami Herbert Business School, Director of Deloitte Institute for Research and Practice in Analytics (DIRPA).
ACADEMIC PUBLICATIONS
1. "Mean Corrected Generalized Estimating Equations for Longitudinal Binary Outcomes with Report Bias",Li, C., Shen, Y., Xiao, Q., Rathbun, S., Huang, H. and Guan, Y.,Biometrics,Submitted
2. "Optimal Frameworks for Detecting Anomalies in Sensor-Intensive Heterogeneous Networks",Moghaddassa, R. and Guan, Y.,INFORMS Journal on Computing,Submitted
3. "Semi-parametric Multi-nomial Logistic Regression for Multivariate Point Pattern Data",Hessellund, K., Xu, G., Guan, Y. andWaagepetersen, R.,Journal of the American Statistical Association, Theory and Methods,to appear
4. "Semi-Parametric Modeling of Structured Point Processes Using Multi-Level Log-Gaussian Cox Processes",Wang, W., Xu, G., Bian, J., Burch, B., Andrade, S., Huang, H., Zhang, J. and Guan, Y.,Journal of Machine Learning Research,21(192),1-39,2020
5. "Nonparametric Estimation of the Pair Correlation Function of Replicated Inhomogeneous Point Processes",Xu, G., Zhao, C., Jalilian, A., Waagepetersen, R., Zhang, J. and Guan, Y.,Electronic Journal of Statistics,14, 3730-3765,2020
POSITION/TITLE
Lab Director of SRIBD
Presidential Chair Professor of CUHKSZ
EDUCATION BACKGROUND
Ph.D. in Statistics, Texas A&M University
B.S. in Probability & Statistics, Minor in Economics, Peking University
RESEARCH FIELD
Spatial Statistics and its applications in Finance, Social Media, Epidemiology and other fields
BIOGRAPHY
Prof. Yongtao Guan is Presidential Chair Professor, Fellow of American Statistical Association. He was Leslie O. Barnes Professor and Chair of Management Science, University of Miami Herbert Business School, Director of Deloitte Institute for Research and Practice in Analytics (DIRPA).
ACADEMIC PUBLICATIONS
1. "Mean Corrected Generalized Estimating Equations for Longitudinal Binary Outcomes with Report Bias",Li, C., Shen, Y., Xiao, Q., Rathbun, S., Huang, H. and Guan, Y.,Biometrics,Submitted
2. "Optimal Frameworks for Detecting Anomalies in Sensor-Intensive Heterogeneous Networks",Moghaddassa, R. and Guan, Y.,INFORMS Journal on Computing,Submitted
3. "Semi-parametric Multi-nomial Logistic Regression for Multivariate Point Pattern Data",Hessellund, K., Xu, G., Guan, Y. andWaagepetersen, R.,Journal of the American Statistical Association, Theory and Methods,to appear
4. "Semi-Parametric Modeling of Structured Point Processes Using Multi-Level Log-Gaussian Cox Processes",Wang, W., Xu, G., Bian, J., Burch, B., Andrade, S., Huang, H., Zhang, J. and Guan, Y.,Journal of Machine Learning Research,21(192),1-39,2020
5. "Nonparametric Estimation of the Pair Correlation Function of Replicated Inhomogeneous Point Processes",Xu, G., Zhao, C., Jalilian, A., Waagepetersen, R., Zhang, J. and Guan, Y.,Electronic Journal of Statistics,14, 3730-3765,2020
POSITION/TITLE
Lab Director of SRIBD
Presidential Chair Professor of CUHKSZ
EDUCATION BACKGROUND
Ph.D. in Statistics, Texas A&M University
B.S. in Probability & Statistics, Minor in Economics, Peking University
RESEARCH FIELD
Spatial Statistics and its applications in Finance, Social Media, Epidemiology and other fields
BIOGRAPHY
Prof. Yongtao Guan is Presidential Chair Professor, Fellow of American Statistical Association. He was Leslie O. Barnes Professor and Chair of Management Science, University of Miami Herbert Business School, Director of Deloitte Institute for Research and Practice in Analytics (DIRPA).
ACADEMIC PUBLICATIONS
1. "Mean Corrected Generalized Estimating Equations for Longitudinal Binary Outcomes with Report Bias",Li, C., Shen, Y., Xiao, Q., Rathbun, S., Huang, H. and Guan, Y.,Biometrics,Submitted
2. "Optimal Frameworks for Detecting Anomalies in Sensor-Intensive Heterogeneous Networks",Moghaddassa, R. and Guan, Y.,INFORMS Journal on Computing,Submitted
3. "Semi-parametric Multi-nomial Logistic Regression for Multivariate Point Pattern Data",Hessellund, K., Xu, G., Guan, Y. andWaagepetersen, R.,Journal of the American Statistical Association, Theory and Methods,to appear
4. "Semi-Parametric Modeling of Structured Point Processes Using Multi-Level Log-Gaussian Cox Processes",Wang, W., Xu, G., Bian, J., Burch, B., Andrade, S., Huang, H., Zhang, J. and Guan, Y.,Journal of Machine Learning Research,21(192),1-39,2020
5. "Nonparametric Estimation of the Pair Correlation Function of Replicated Inhomogeneous Point Processes",Xu, G., Zhao, C., Jalilian, A., Waagepetersen, R., Zhang, J. and Guan, Y.,Electronic Journal of Statistics,14, 3730-3765,2020
POSITION/TITLE
Lab Director of SRIBD
Presidential Chair Professor of CUHKSZ
EDUCATION BACKGROUND
Ph.D. in Statistics, Texas A&M University
B.S. in Probability & Statistics, Minor in Economics, Peking University
RESEARCH FIELD
Spatial Statistics and its applications in Finance, Social Media, Epidemiology and other fields
BIOGRAPHY
Prof. Yongtao Guan is Presidential Chair Professor, Fellow of American Statistical Association. He was Leslie O. Barnes Professor and Chair of Management Science, University of Miami Herbert Business School, Director of Deloitte Institute for Research and Practice in Analytics (DIRPA).
ACADEMIC PUBLICATIONS
1. "Mean Corrected Generalized Estimating Equations for Longitudinal Binary Outcomes with Report Bias",Li, C., Shen, Y., Xiao, Q., Rathbun, S., Huang, H. and Guan, Y.,Biometrics,Submitted
2. "Optimal Frameworks for Detecting Anomalies in Sensor-Intensive Heterogeneous Networks",Moghaddassa, R. and Guan, Y.,INFORMS Journal on Computing,Submitted
3. "Semi-parametric Multi-nomial Logistic Regression for Multivariate Point Pattern Data",Hessellund, K., Xu, G., Guan, Y. andWaagepetersen, R.,Journal of the American Statistical Association, Theory and Methods,to appear
4. "Semi-Parametric Modeling of Structured Point Processes Using Multi-Level Log-Gaussian Cox Processes",Wang, W., Xu, G., Bian, J., Burch, B., Andrade, S., Huang, H., Zhang, J. and Guan, Y.,Journal of Machine Learning Research,21(192),1-39,2020
5. "Nonparametric Estimation of the Pair Correlation Function of Replicated Inhomogeneous Point Processes",Xu, G., Zhao, C., Jalilian, A., Waagepetersen, R., Zhang, J. and Guan, Y.,Electronic Journal of Statistics,14, 3730-3765,2020
POSITION/TITLE
SRIBD Deputy Director, Research Scientist
RESEARCH FIELD
Economic Statistics, Applied Econometrics, Data Mining
shipei.zeng@sribd.cn
EDUCATION BACKGROUND
Ph.D. Economics, University of New South Wales, Australia
M.A. Economics, Renmin University of China, China
B.A. Economics, Renmin University of China, China
BIOGRAPHY
Dr. Shipei Zeng is a deputy director and research scientist at the Laboratory for Public and Commercial Big Data of SRIBD. He obtained his PhD in economics from the University of New South Wales and his master's and bachelor's degrees in economics from Renmin University of China. He has undertaken a number of government research co-operations as well as projects with large enterprises. His research interests include developing and applying economic statistical models to interdisciplinary fields. He has published his work in several reputable international journals, and won numerous awards in data competitions for his use of big data and machine learning techniques. He is also the developer of the R package "dfvad" approved by CRAN, which is designed for analyzing economic growth and productivity.
ACADEMIC PUBLICATIONS
- Shipei Zeng. Frontier firms, inefficiency and productivity dynamics. 36th International Association for Research in Income and Wealth General Conference. Oslo, Norway (Online), from 2021-8-23 to 2021-8-27
- Shipei Zeng. Hedonic imputation with tree-based decision approaches. 36th International Association for Research in Income and Wealth General Conference. Oslo, Norway (Online), from 2021-8-23 to 2021-8-27
- Shipei Zeng; Zhan-Ming Chen; Ahmed Alsaedi; Tasawar Hayat. Price elasticity, block tariffs, and equity of natural gas demand in China: Investigation based on household-level survey data. Journal of Cleaner Production, 2018, 179: 441-449 (SCI, JCR Q1)
- Zhan-Ming Chen; Shipei Zeng; Leo Lester; Lin-Ting Zhang; Xiaohua Xia; Shiyun Xu; Ahmed Alsaedi; Tasawar Hayat. Economic cost of China’s oil import: Welfare estimation for 2001–2015. Resources, Conservation and Recycling, 2018, 132: 158-167 (SCI, JCR Q1)
- Shipei Zeng; Zhanming Chen. Impact of fossil fuel subsidy reform in China: Estimations of household welfare effects based on 2007–2012 data. Economic and Political Studies, 2016, 4: 299-318
POSITION/TITLE
SRIBD Deputy Director, Research Scientist
RESEARCH FIELD
Economic Statistics, Applied Econometrics, Data Mining
shipei.zeng@sribd.cn
EDUCATION BACKGROUND
Ph.D. Economics, University of New South Wales, Australia
M.A. Economics, Renmin University of China, China
B.A. Economics, Renmin University of China, China
BIOGRAPHY
Dr. Shipei Zeng is a deputy director and research scientist at the Laboratory for Public and Commercial Big Data of SRIBD. He obtained his PhD in economics from the University of New South Wales and his master's and bachelor's degrees in economics from Renmin University of China. He has undertaken a number of government research co-operations as well as projects with large enterprises. His research interests include developing and applying economic statistical models to interdisciplinary fields. He has published his work in several reputable international journals, and won numerous awards in data competitions for his use of big data and machine learning techniques. He is also the developer of the R package "dfvad" approved by CRAN, which is designed for analyzing economic growth and productivity.
ACADEMIC PUBLICATIONS
- Shipei Zeng. Frontier firms, inefficiency and productivity dynamics. 36th International Association for Research in Income and Wealth General Conference. Oslo, Norway (Online), from 2021-8-23 to 2021-8-27
- Shipei Zeng. Hedonic imputation with tree-based decision approaches. 36th International Association for Research in Income and Wealth General Conference. Oslo, Norway (Online), from 2021-8-23 to 2021-8-27
- Shipei Zeng; Zhan-Ming Chen; Ahmed Alsaedi; Tasawar Hayat. Price elasticity, block tariffs, and equity of natural gas demand in China: Investigation based on household-level survey data. Journal of Cleaner Production, 2018, 179: 441-449 (SCI, JCR Q1)
- Zhan-Ming Chen; Shipei Zeng; Leo Lester; Lin-Ting Zhang; Xiaohua Xia; Shiyun Xu; Ahmed Alsaedi; Tasawar Hayat. Economic cost of China’s oil import: Welfare estimation for 2001–2015. Resources, Conservation and Recycling, 2018, 132: 158-167 (SCI, JCR Q1)
- Shipei Zeng; Zhanming Chen. Impact of fossil fuel subsidy reform in China: Estimations of household welfare effects based on 2007–2012 data. Economic and Political Studies, 2016, 4: 299-318
POSITION/TITLE
SRIBD Deputy Director, Research Scientist
RESEARCH FIELD
Economic Statistics, Applied Econometrics, Data Mining
shipei.zeng@sribd.cn
EDUCATION BACKGROUND
Ph.D. Economics, University of New South Wales, Australia
M.A. Economics, Renmin University of China, China
B.A. Economics, Renmin University of China, China
BIOGRAPHY
Dr. Shipei Zeng is a deputy director and research scientist at the Laboratory for Public and Commercial Big Data of SRIBD. He obtained his PhD in economics from the University of New South Wales and his master's and bachelor's degrees in economics from Renmin University of China. He has undertaken a number of government research co-operations as well as projects with large enterprises. His research interests include developing and applying economic statistical models to interdisciplinary fields. He has published his work in several reputable international journals, and won numerous awards in data competitions for his use of big data and machine learning techniques. He is also the developer of the R package "dfvad" approved by CRAN, which is designed for analyzing economic growth and productivity.
ACADEMIC PUBLICATIONS
- Shipei Zeng. Frontier firms, inefficiency and productivity dynamics. 36th International Association for Research in Income and Wealth General Conference. Oslo, Norway (Online), from 2021-8-23 to 2021-8-27
- Shipei Zeng. Hedonic imputation with tree-based decision approaches. 36th International Association for Research in Income and Wealth General Conference. Oslo, Norway (Online), from 2021-8-23 to 2021-8-27
- Shipei Zeng; Zhan-Ming Chen; Ahmed Alsaedi; Tasawar Hayat. Price elasticity, block tariffs, and equity of natural gas demand in China: Investigation based on household-level survey data. Journal of Cleaner Production, 2018, 179: 441-449 (SCI, JCR Q1)
- Zhan-Ming Chen; Shipei Zeng; Leo Lester; Lin-Ting Zhang; Xiaohua Xia; Shiyun Xu; Ahmed Alsaedi; Tasawar Hayat. Economic cost of China’s oil import: Welfare estimation for 2001–2015. Resources, Conservation and Recycling, 2018, 132: 158-167 (SCI, JCR Q1)
- Shipei Zeng; Zhanming Chen. Impact of fossil fuel subsidy reform in China: Estimations of household welfare effects based on 2007–2012 data. Economic and Political Studies, 2016, 4: 299-318
POSITION/TITLE
SRIBD Deputy Director, Research Scientist
RESEARCH FIELD
Economic Statistics, Applied Econometrics, Data Mining
shipei.zeng@sribd.cn
EDUCATION BACKGROUND
Ph.D. Economics, University of New South Wales, Australia
M.A. Economics, Renmin University of China, China
B.A. Economics, Renmin University of China, China
BIOGRAPHY
Dr. Shipei Zeng is a deputy director and research scientist at the Laboratory for Public and Commercial Big Data of SRIBD. He obtained his PhD in economics from the University of New South Wales and his master's and bachelor's degrees in economics from Renmin University of China. He has undertaken a number of government research co-operations as well as projects with large enterprises. His research interests include developing and applying economic statistical models to interdisciplinary fields. He has published his work in several reputable international journals, and won numerous awards in data competitions for his use of big data and machine learning techniques. He is also the developer of the R package "dfvad" approved by CRAN, which is designed for analyzing economic growth and productivity.
ACADEMIC PUBLICATIONS
- Shipei Zeng. Frontier firms, inefficiency and productivity dynamics. 36th International Association for Research in Income and Wealth General Conference. Oslo, Norway (Online), from 2021-8-23 to 2021-8-27
- Shipei Zeng. Hedonic imputation with tree-based decision approaches. 36th International Association for Research in Income and Wealth General Conference. Oslo, Norway (Online), from 2021-8-23 to 2021-8-27
- Shipei Zeng; Zhan-Ming Chen; Ahmed Alsaedi; Tasawar Hayat. Price elasticity, block tariffs, and equity of natural gas demand in China: Investigation based on household-level survey data. Journal of Cleaner Production, 2018, 179: 441-449 (SCI, JCR Q1)
- Zhan-Ming Chen; Shipei Zeng; Leo Lester; Lin-Ting Zhang; Xiaohua Xia; Shiyun Xu; Ahmed Alsaedi; Tasawar Hayat. Economic cost of China’s oil import: Welfare estimation for 2001–2015. Resources, Conservation and Recycling, 2018, 132: 158-167 (SCI, JCR Q1)
- Shipei Zeng; Zhanming Chen. Impact of fossil fuel subsidy reform in China: Estimations of household welfare effects based on 2007–2012 data. Economic and Political Studies, 2016, 4: 299-318
POSITION/TITLE
SRIBD: Deputy Director of Social Behavior Big Data Lab
Associate Professor at the School of Law at the University of Hong Kong
RESEARCH FIELD
the cross-fields of China's judicial system, law and economic development, law and data science
zhuangliu@cuhk.edu.cn
EDUCATION BACKGROUND
Bachelor’s and Ph.D. degree from Peking University, and J.S.D from University of Chicago.
BIOGRAPHY
Prof. Zhuang Liu currently serves as the Deputy Director of Social Behavior Big Data Lab at Shenzhen Research Institute of Big Data, and an Associate Professor at the School of Law at the University of Hong Kong. He received his bachelor's and Ph.D. degrees from Peking University, and his J.S.D. from the University of Chicago. He focuses on the cross-fields of China’s judicial system, law and economic development, law and data science, and has published a significant amount of work on world top journals in related fields (such as Journal of Legal Studies, Journal of Legal Analysis, American Journal of Comparative Law, China Quarterly, Journal of Contemporary China, etc.). He has led several national and local research projects, including projects supported by the National Key Research and Development Plan, the National Natural Science Foundation of China, etc.
ACADEMIC PUBLICATIONS
Liu, Z. (2018). Does reason writing reduce decision bias? Experimental evidence from judges in China. The Journal of Legal Studies, 47(1), 83-118.
Tang, Y., & Liu, J. Z. (2019). Mass Publicity of Chinese Court Decisions. China Review, 19(2), 15-40.
Liu, J. Z., & Zhang, A. H. (2019). Ownership and political control: Evidence from charter amendments. International Review of Law and Economics, 60, 105853.
OTHER OPTIONAL ENTRIES
Published a significant number of papers on world top journals in related fields (such as Journal of Legal Studies, Journal of Legal Analysis, American Journal of Comparative Law, China Quarterly, Journal of Contemporary China, etc.). He has led several national and local research projects, including projects supported by the National Key Research and Development Plan, the National Natural Science Foundation of China, etc.
POSITION/TITLE
SRIBD: Deputy Director of Social Behavior Big Data Lab
Associate Professor at the School of Law at the University of Hong Kong
RESEARCH FIELD
the cross-fields of China's judicial system, law and economic development, law and data science
zhuangliu@cuhk.edu.cn
EDUCATION BACKGROUND
Bachelor’s and Ph.D. degree from Peking University, and J.S.D from University of Chicago.
BIOGRAPHY
Prof. Zhuang Liu currently serves as the Deputy Director of Social Behavior Big Data Lab at Shenzhen Research Institute of Big Data, and an Associate Professor at the School of Law at the University of Hong Kong. He received his bachelor's and Ph.D. degrees from Peking University, and his J.S.D. from the University of Chicago. He focuses on the cross-fields of China’s judicial system, law and economic development, law and data science, and has published a significant amount of work on world top journals in related fields (such as Journal of Legal Studies, Journal of Legal Analysis, American Journal of Comparative Law, China Quarterly, Journal of Contemporary China, etc.). He has led several national and local research projects, including projects supported by the National Key Research and Development Plan, the National Natural Science Foundation of China, etc.
ACADEMIC PUBLICATIONS
Liu, Z. (2018). Does reason writing reduce decision bias? Experimental evidence from judges in China. The Journal of Legal Studies, 47(1), 83-118.
Tang, Y., & Liu, J. Z. (2019). Mass Publicity of Chinese Court Decisions. China Review, 19(2), 15-40.
Liu, J. Z., & Zhang, A. H. (2019). Ownership and political control: Evidence from charter amendments. International Review of Law and Economics, 60, 105853.
OTHER OPTIONAL ENTRIES
Published a significant number of papers on world top journals in related fields (such as Journal of Legal Studies, Journal of Legal Analysis, American Journal of Comparative Law, China Quarterly, Journal of Contemporary China, etc.). He has led several national and local research projects, including projects supported by the National Key Research and Development Plan, the National Natural Science Foundation of China, etc.
POSITION/TITLE
SRIBD: Deputy Director of Social Behavior Big Data Lab
Associate Professor at the School of Law at the University of Hong Kong
RESEARCH FIELD
the cross-fields of China's judicial system, law and economic development, law and data science
zhuangliu@cuhk.edu.cn
EDUCATION BACKGROUND
Bachelor’s and Ph.D. degree from Peking University, and J.S.D from University of Chicago.
BIOGRAPHY
Prof. Zhuang Liu currently serves as the Deputy Director of Social Behavior Big Data Lab at Shenzhen Research Institute of Big Data, and an Associate Professor at the School of Law at the University of Hong Kong. He received his bachelor's and Ph.D. degrees from Peking University, and his J.S.D. from the University of Chicago. He focuses on the cross-fields of China’s judicial system, law and economic development, law and data science, and has published a significant amount of work on world top journals in related fields (such as Journal of Legal Studies, Journal of Legal Analysis, American Journal of Comparative Law, China Quarterly, Journal of Contemporary China, etc.). He has led several national and local research projects, including projects supported by the National Key Research and Development Plan, the National Natural Science Foundation of China, etc.
ACADEMIC PUBLICATIONS
Liu, Z. (2018). Does reason writing reduce decision bias? Experimental evidence from judges in China. The Journal of Legal Studies, 47(1), 83-118.
Tang, Y., & Liu, J. Z. (2019). Mass Publicity of Chinese Court Decisions. China Review, 19(2), 15-40.
Liu, J. Z., & Zhang, A. H. (2019). Ownership and political control: Evidence from charter amendments. International Review of Law and Economics, 60, 105853.
OTHER OPTIONAL ENTRIES
Published a significant number of papers on world top journals in related fields (such as Journal of Legal Studies, Journal of Legal Analysis, American Journal of Comparative Law, China Quarterly, Journal of Contemporary China, etc.). He has led several national and local research projects, including projects supported by the National Key Research and Development Plan, the National Natural Science Foundation of China, etc.
POSITION/TITLE
SRIBD: Deputy Director of Social Behavior Big Data Lab
Associate Professor at the School of Law at the University of Hong Kong
RESEARCH FIELD
the cross-fields of China's judicial system, law and economic development, law and data science
zhuangliu@cuhk.edu.cn
EDUCATION BACKGROUND
Bachelor’s and Ph.D. degree from Peking University, and J.S.D from University of Chicago.
BIOGRAPHY
Prof. Zhuang Liu currently serves as the Deputy Director of Social Behavior Big Data Lab at Shenzhen Research Institute of Big Data, and an Associate Professor at the School of Law at the University of Hong Kong. He received his bachelor's and Ph.D. degrees from Peking University, and his J.S.D. from the University of Chicago. He focuses on the cross-fields of China’s judicial system, law and economic development, law and data science, and has published a significant amount of work on world top journals in related fields (such as Journal of Legal Studies, Journal of Legal Analysis, American Journal of Comparative Law, China Quarterly, Journal of Contemporary China, etc.). He has led several national and local research projects, including projects supported by the National Key Research and Development Plan, the National Natural Science Foundation of China, etc.
ACADEMIC PUBLICATIONS
Liu, Z. (2018). Does reason writing reduce decision bias? Experimental evidence from judges in China. The Journal of Legal Studies, 47(1), 83-118.
Tang, Y., & Liu, J. Z. (2019). Mass Publicity of Chinese Court Decisions. China Review, 19(2), 15-40.
Liu, J. Z., & Zhang, A. H. (2019). Ownership and political control: Evidence from charter amendments. International Review of Law and Economics, 60, 105853.
OTHER OPTIONAL ENTRIES
Published a significant number of papers on world top journals in related fields (such as Journal of Legal Studies, Journal of Legal Analysis, American Journal of Comparative Law, China Quarterly, Journal of Contemporary China, etc.). He has led several national and local research projects, including projects supported by the National Key Research and Development Plan, the National Natural Science Foundation of China, etc.
POSITION/TITLE
SRIBD Research Scientist
RESEARCH FIELD
Time series, Econometric modeling, Machine learning
shandai@sribd.cn
EDUCATION BACKGROUND
Ph.D. in The Chinese University of Hong Kong
Bachelor’s degree in University of Science and Technology of China
Major Achievements/Honors
Overseas High-Caliber Personnel, Shenzhen
Overseas Research Award In The Chinese University of Hong Kong
Outstanding Graduate In University of Science and Technology of China
BIOGRAPHY
Dr. Shan Dai is currently a research scientist in Shenzhen Research Institute of Big Data. His main research interests include time series, econometric modeling and machine learning related theory and practice. He received a Bachelor's degree in Science from University of Science and Technology of China, a Ph.D. degree in Statistics from The Chinese University of Hong Kong. He was also recognized as an Overseas High-Caliber Personnel (Shenzhen). He has published several peer-reviewed papers on statistical journals and machine learning conferences including Journal of Time Series Analysis and Proceedings of the Winter Simulation Conference, and got several patents granted and accepted. Dai is currently the PI of a Shenzhen Excellent Science and Technology Innovation Talents Cultivation Project (PhD Start-Up).
SELECTED PUBLICATIONS (*denotes corresponding author)
- Dai, S. and Chan, N.H.* (2023). Testing of Constant Parameters for Semi-Parametric Functional Coefficient Models with Integrated Covariates. J. Time Ser. Anal., 44: 474-486.
- Zhang, M., Liu, G., Dai, S.*, He, Y. (2023). Input Uncertainty Quantification Via Simulation Bootstrapping. Proceedings of the 2023 Winter Simulation Conference (WSC). Accepted.
POSITION/TITLE
SRIBD Research Scientist
RESEARCH FIELD
Time series, Econometric modeling, Machine learning
shandai@sribd.cn
EDUCATION BACKGROUND
Ph.D. in The Chinese University of Hong Kong
Bachelor’s degree in University of Science and Technology of China
Major Achievements/Honors
Overseas High-Caliber Personnel, Shenzhen
Overseas Research Award In The Chinese University of Hong Kong
Outstanding Graduate In University of Science and Technology of China
BIOGRAPHY
Dr. Shan Dai is currently a research scientist in Shenzhen Research Institute of Big Data. His main research interests include time series, econometric modeling and machine learning related theory and practice. He received a Bachelor's degree in Science from University of Science and Technology of China, a Ph.D. degree in Statistics from The Chinese University of Hong Kong. He was also recognized as an Overseas High-Caliber Personnel (Shenzhen). He has published several peer-reviewed papers on statistical journals and machine learning conferences including Journal of Time Series Analysis and Proceedings of the Winter Simulation Conference, and got several patents granted and accepted. Dai is currently the PI of a Shenzhen Excellent Science and Technology Innovation Talents Cultivation Project (PhD Start-Up).
SELECTED PUBLICATIONS (*denotes corresponding author)
- Dai, S. and Chan, N.H.* (2023). Testing of Constant Parameters for Semi-Parametric Functional Coefficient Models with Integrated Covariates. J. Time Ser. Anal., 44: 474-486.
- Zhang, M., Liu, G., Dai, S.*, He, Y. (2023). Input Uncertainty Quantification Via Simulation Bootstrapping. Proceedings of the 2023 Winter Simulation Conference (WSC). Accepted.
POSITION/TITLE
SRIBD Research Scientist
RESEARCH FIELD
Time series, Econometric modeling, Machine learning
shandai@sribd.cn
EDUCATION BACKGROUND
Ph.D. in The Chinese University of Hong Kong
Bachelor’s degree in University of Science and Technology of China
Major Achievements/Honors
Overseas High-Caliber Personnel, Shenzhen
Overseas Research Award In The Chinese University of Hong Kong
Outstanding Graduate In University of Science and Technology of China
BIOGRAPHY
Dr. Shan Dai is currently a research scientist in Shenzhen Research Institute of Big Data. His main research interests include time series, econometric modeling and machine learning related theory and practice. He received a Bachelor's degree in Science from University of Science and Technology of China, a Ph.D. degree in Statistics from The Chinese University of Hong Kong. He was also recognized as an Overseas High-Caliber Personnel (Shenzhen). He has published several peer-reviewed papers on statistical journals and machine learning conferences including Journal of Time Series Analysis and Proceedings of the Winter Simulation Conference, and got several patents granted and accepted. Dai is currently the PI of a Shenzhen Excellent Science and Technology Innovation Talents Cultivation Project (PhD Start-Up).
SELECTED PUBLICATIONS (*denotes corresponding author)
- Dai, S. and Chan, N.H.* (2023). Testing of Constant Parameters for Semi-Parametric Functional Coefficient Models with Integrated Covariates. J. Time Ser. Anal., 44: 474-486.
- Zhang, M., Liu, G., Dai, S.*, He, Y. (2023). Input Uncertainty Quantification Via Simulation Bootstrapping. Proceedings of the 2023 Winter Simulation Conference (WSC). Accepted.
