(Listed in order of talks)

Cheng Hsiao, University of Southern California

Cheng Hsiao is Professor of Economics at the University of Southern California. He received a B.A. from Taiwan University, a B. Phil. from Oxford University, and an M.Sc. in Statistics and a Ph.D. in Economics (1972) from Stanford University.

Professor Hsiao's research interests include theoretical and applied econometrics. He has published extensively in these areas, with numerous research articles on leading journals such as Journal of the American Statistical Association, Econometric Theory, and Journal of Econometrics, and several books, including Analysis of Panel Data and Panel Data Econometrics. He is Academician of Academia Sinica, Fellow of the Econometric Society, and Fellow of the Journal of Econometrics. In 2018, he became a Founding Fellow of the International Association for Applied Econometrics and was also awarded the Multa Scripsit Award by Econometric Theory in 2012.

Professor Hsiao has made significant contributions to the field of economics through his extensive involvement in editorial boards and professional organizations. He has served on the advisory boards of the Pacific Economic Review and Singapore Economic Review, and as the Editor of the Journal of Econometrics for over two decades. In addition, he has held key positions on the Board of Directors for the China Research Institute for Land Economics and the Executive Council for the Journal of Econometrics.

Whitney Newey, Massachusetts Institute of Technology

Whitney K. Newey is Ford Professor of Economics at Massachusetts Institute of Technology (MIT) and a Research Associate of the National Bureau of Economic Research. Before joining MIT, he also worked at Princeton University.

Professor Newey's work on econometric theory and methodology has had a profound impact on the field of economics, and he is perhaps best known for his contributions to the development of the Newey-West estimator, a statistical technique used to estimate the covariance matrix of a regression model in the presence of autocorrelation or heteroskedasticity. Professor Newey has also contributed to the development of other important econometric techniques, such as the method of moments and the generalized method of moments. He has published extensively on these and other topics in top academic journals such as Econometrica, Journal of Econometrics, and Journal of the American Statistical Association. Current research interests include debiased machine learning of structural and causal parameters, inference in regression with many included regressors, and economic demand models with general heterogeneity.

Professor Newey is Fellow of the American Academy of Arts and Sciences, the Econometric Society, and the International Association of Applied Econometrics. He was named a 2020 Distinguished Fellow by the American Economic Association. He has also been a Fellow of the Center for Advanced Study in the Behavioral Sciences and received a Sloan Foundation Research Fellowship. He served as Co-editor of Econometrica, and Program Co-chair for the 2005 World Congress of the Econometric Society, on the Executive Committee of the Econometric Society.

Lung-Fei Lee, The Ohio State University

Lung-Fei Lee is University Chaired Professor of Econometrics at the Ohio State University. Professor Lee's research and publications are in the areas of microeconometrics and theoretical econometrics. He has studied issues on self-selection and discrete choices of economics agents; quantity rationing in consumption; disequilibrium market models; dynamic discrete choice behavior of individuals; and econometric issues on limited dependent variables such as binding nonnegative constraints, brand choices in purchasing decisions of consumers, limiting price movements in stock markets, rational expectations formation, switching regressions, and hidden Markov chains.

His current research is on the development of econometric models of spatial or social interactions. He has focused on the study of spatial interactions via the spatial autoregression models, which are cross-section models and have broad applications in regional economics. In the presence of panel data, both static and dynamic spatial autoregression models are studied. Static models may capture both spatial correlation and spatial heterogeneity. Spatial dynamic panels study spatial and temporal economic processes. Possible spatial cointegration of regional markets can be detected in a framework of a spatial dynamic panel. Social interactions concern interactions among individuals or economic agents in groups or in networks. He considers model specifications and econometric estimation methods in order to detect effects of social interactions and network structures on economic outcomes of connected individuals. Networks can have rich structures so that various interaction effects, such as endogenous, contextual, and correlated effects can be separately identified. Networks can be endogenously formed and evolve over time. As networks are formed for certain purposes, so outcomes from a network might be subject to self-selection bias. Professor Lee's research focuses on the econometric specifications of network formation and the estimation of a network formation process in order to correct self-selection bias in outcomes.

Dennis Lin, Purdue University

Dennis K. J. Lin is Distinguished Professor of Statistics at Purdue University, known for his significant contributions to the field of quality engineering and statistical methods. He received his Bachelor's degree in mathematics from Taiwan University and later earned his Ph.D. in statistics from the University of Wisconsin-Madison.

Professor Lin’s research interests are quality assurance, industrial statistics, data mining, and data science. He has published near 300 SCI/SSCI papers in a wide variety of journals. He currently serves or has served as an associate editor for more than 10 professional journals and was co-editor for Applied Stochastic Models in Business and Industry. Professor Lin is Fellow of the American Statistical Association, the Institute of Mathematical Statistics, the Royal Statistical Society, and the American Society for Quality, respectively. He is also an elected member of the International Statistical Institute and a lifetime member of the International Chinese Statistical Association. His recent awards include the 2004 Faculty Scholar Medal Award (Penn State), the Youden Address (ASQ, 2010), the Shewell Award (ASQ, 2010), the Don Owen Award (ASA, 2011), the Loutit Address (SSC, 2011), the Hunter Award (ASQ, 2014), the Shewhart Medal (2015), the SPES Award (ASA-SPES, 2016), and the Chow Yuan-Shin Award (2019). In 2020, Professor Lin was selected as the Deming Lecturer at the Joint Statistical Meeting in Philadelphia, a prestigious recognition for his outstanding contributions to the field of statistics.

Wai Keung Li, The Education University of Hong Kong

Wai Keung Li received his PhD in Statistics from the University of Western Ontario in 1981. He was a faculty member of the Department of Statistics (later Department of Statistics and Actuarial Science) of the University of Hong Kong from 1983 to 2019. He was promoted to Chair Professor of Statistics at HKU in 2000 and was conferred the prestigious title of Emeritus Professor by HKU in 2020. He was conferred the title of Distinguished Author by the Journal of Time Series Analysis in the same year. Professor Li received the Outstanding Service Award from the International Chinese Statistical Association in 2009 and was ranked as the world’s top 1% worldwide by citations by Clarivate Analytics for 4 successive years 2009-2012 and Stanford top 2% most-cited scientists (career-long) in the world 2022.

Professor Li is currently Research Chair Professor of Data Science and Dean of the Faculty of Liberal Arts and Social Sciences at the Education University of Hong Kong. Professor Li is an Elected Member of International Statistical Institute and an Elected Fellow of the American Statistical Association and the Institute of Mathematical Statistics.

Yahong Zhou, Shanghai University of Finance and Economics

Yahong Zhou is Dean of the School of Economics at Shanghai University of Finance and Economics. His research interests include microeconometrics and microeconomics. He has published over forty articles in journals such as Journal of Econometrics, Journal of Business & Economic Statistics, and Econometric Theory. He has led several National Natural Science Foundation projects, including one key project. His research achievements have been recognized with numerous awards, including the first prize of Shanghai Teaching Achievement Award (2022), the third prize of Excellent Scientific Research Achievement Award (Humanities and Social Sciences) of Higher Education Institutions (2013), the first prize of the 13th Shanghai Philosophy and Social Sciences Excellent Achievement Award (2016), and the sixth National Excellent Financial Theoretical Research Achievement Award (2017).

Shiyi Chen, Fudan University

Shiyi Chen is a professor in School of Economics (SOE) and Fanhai International School of Finance (FISF) at Fudan University. He also serves as the Director of Teaching and Research Department of Quantitative Economics of Fudan University, Director of Research Center of Sustainable Development of Fudan University, Director of Research Center of Green Finance of Fudan University, and Co-Director of Shanghai-Hong Kong Development Institute co-founded by Chinese University of Hong Kong and Fudan University. His research area includes economic transformation and financial development, energy and environment economics, development economics, and applied econometrics. He has published more than one hundred papers and several scholarly monographs. With works spanning a large number of contexts such as Chinese economy and econometric theories, from 2020 to 2022, he was among the “Elsevier Highly Cited Researchers” in China. He is also the recipient of many prestigious awards such as Peikang Chang Development Economics Prize in 2014, and Sun Yefang Prize in Economics Science in 2018.

Pingfang Zhu, Shanghai Academy of Social Sciences

Pingfang Zhu is Director at the Quantitative Economics Research Center at the Shanghai Academy of Social Sciences, and the Chief Expert and Director at the Shanghai Science and Technology Statistics and Analysis Research Center, a research institute under the Shanghai Soft Science Research Base. Recognized as a Leading Talent in Shanghai, he receives a special allowance from the State Council of the PRC. Professor Zhu has previously served as the Dean of the Graduate School of the Shanghai Academy of Social Sciences and Secretary of the Party Committee, Director of the Department of Statistics and Quantitative Economics Research at the Institute of Economics of the Shanghai Academy of Social Sciences, and Depute Dean of the School of Economics at Shanghai University of Finance and Economics.

Professor Zhu’s research mainly focuses on econometric theory and methods application, economic growth and technological innovation, science and technology statistics and analysis, and economic situation analysis and forecasting. He has published over 50 papers in prestigious domestic and international journals of economics, quantitative economics, and statistics, such as Economic Research Journal, Journal of Quantitative & Technical Economics, Statistical Research, Journal of Business & Economic Statistics (SSCI), China Economic Review (SSCI), and Economic Letters (SSCI). Many of his papers published in Economic Research Journal have achieved considerably high citation rates.

Chunrong Ai, The Chinese University of Hong Kong, Shenzhen

Professor Chunrong Ai is Professor of Economics and Presidential Chair Professor at the Chinese University of Hong Kong, Shenzhen. He is Associate Director of Shenzhen Finance Institute and Director of the Social Behavior Big Data Lab in the Shenzhen Research Institute of Big Data. His research area is microeconometrics and Chinese economy. He has published more than 70 papers and is an elected Fellow to the Econometric Society.

Shiqing Ling, Hong Kong University of Science and Technology

Professor Shiqing Ling is a Chair professor and the Director of Fin-Tech Master Program in Hong Kong University of Science and Technology. He was RGC Senior Research Fellow, Fellow of Institute of Mathematical Statistics (IMS), Fellow of Journal of Econometrics, and Fellow of Modelling and Simulation Society of Australia and New Zealand (MSSANZ). He was awarded the Biennial Medal by MSSANZ in 2013 and Econometric Theory Plura Scripsit Award in 2017. Currently, he serves as the Co-Editor of Journal of Time Series Analysis and the associate editors of other five journals. He was in the World's Top 2% Scientists listed by Stanford University (Prof. John Ioannidis and his team) in 2019, 2020, 2021 and 2022.

Shaoping Wang, Huazhong University of Science and Technology

Wang Shaoping is Professor at School of Economics at Huazhong University of Science and Technology. He received his PhD from Tsinghua University. His primary research interests lie in both of the econometric theory and its application for Chinese economics. He has published more than 30 seminal research papers in esteemed journals such as Social Sciences in China, Economic Research, Journal of Econometrics, Econometrics Journal, Economic Letters, and Financial Research Letters. He has adeptly supervised two national outstanding doctoral dissertations. Six of his publications have received the first and second prizes at both provincial and ministerial levels.

Weiguo Wang, Dongbei University of Finance and Economics

Weiguo Wang is the former Vice President of Dongbei University of Finance and Economics. He is a professor and doctoral supervisor at the School of Economics. He is a recipient of the Special Government Allowance from the State Council and a national model teacher. He is a member of the Statistical Discipline Evaluation Committee of the Academic Degrees Committee of the State Council. He is also a member of the Teaching Guidance Committee for Economics Majors under the Ministry of Education, as well as the Committee for Laboratory Construction and Experimental Teaching Guidance under the Ministry of Education. He serves as the vice president of the China Quantitative Economics Society and is an editorial board member of journals such as Journal of Quantitative & Technological Economics, Systems Engineering—Theory & Practice, Chinese Journal of Management Science, and China Journal of Econometrics, among others. He has published more than 200 papers in domestic and international academic journals such as Economic Research Journal, Journal of Management World and Statistical Research.

Kunpeng Li, Capital University of Economics and Business

Kunpeng Li is currently a professor and doctoral supervisor at the International School of Economics and Management, Capital University of Economics and Business. He has published more than 30 papers in leading journals in economics, management, and statistics. He is now the Vice Chairman of the Financial Econometrics and Risk Management Branch of the Society of Management Science and Engineering, Deputy Chairman of the Economic and Financial Statistics Branch of the Chinese Society for Applied Statistics, and Executive Director of the China Quantitative Economics Society. He also serves as Associate Editor for JASA, JBES, China Journal of Econometrics, QJEM, and Research on Economics and Management.

Liangjun Su, Tsinghua University

Liangjun Su is C.V. Starr Chair Professor of Economics in the School of Economics and Management, Tsinghua University. Professor Su’s main research interests include econometric theory, nonparametric econometrics, panel data models, factor models, big data analysis, and machine learning. He has published more than 90 papers in top international economics, statistics and informatics journals such as Econometrica, Econometric Theory, IEEE Transactions on Information Theory, Journal of Applied Econometrics, Journal of Econometrics, Journal of Machine Learning Research, Journal of the American Statistical Association, Journal of Business & Economic Statistics, Quantitative Economics, and Review of Economics and Statistics. His works have been cited in various textbooks, including Professor Hsiao’s Panel Data Analysis. Currently, Professor Su is a co-editor for Econometric Theory and an associate editor for Journal of Econometrics, Econometric Reviews, Journal of Systems Science and Complexity, and Journal of Quantitative and Technical Economics (Chinese).

Yongmiao Hong, University of Chinese Academy of Sciences & Xiamen University

Yongmiao Hong is Kwan Chao-Chih Chief Research Fellow at the Academy of Mathematics and Systems Science and the Center for Forecasting Science, Chinese Academy of Sciences (CAS), a special-term Professor at the School of Economics and Management, University of the Chinese Academy of Sciences (UCAS), and Director of Paula and Gregory Chow Institute for Studies in Economics, Xiamen University. He is Fellow of The World Academy of Sciences (TWAS) for the advancement of science in developing countries, Fellow of the Econometric Society, Fellow of International Association of Applied Econometrics, and Senior Fellow of the Rimini Center for Economic Analysis. Before he joined CAS and UCAS, Professor Hong was the Ernest S. Liu Professor of Economics and International Studies, a Professor of Statistics, and a Field Member in the Center of Applied Mathematics at Cornell University. He was also President of the Economists’ Society in North America from 2009 to 2010.

Professor Hong's research interests include model specification testing, nonlinear time series analysis, financial econometrics, and empirical studies on the Chinese economy and financial markets. He publishes refereed articles in leading journals in the fields of economics, finance and statistics such as Annals of Statistics, Biometrika, Econometric Theory, Econometrica, International Economic Review, Journal of the American Statistical Association, Journal of Applied Econometrics, Journal of Business and Economic Statistics, Journal of Econometrics, Journal of Political Economy, Journal of the Royal Statistical Society (Series B), Quarterly Journal of Economics, Review of Economic Studies, Review of Economics and Statistics, and Review of Financial Studies.

Zhijie Xiao, Boston College

Zhijie Xiao is Professor of Economics at Boston College. Prior to his time at Boston College, Professor Xiao served as an Associate Professor of Economics with tenure at the University of Illinois Urbana-Champaign from August 2002 to June 2004. He also spent the 2001-2002 academic year as a Visiting Assistant Professor of Economics at Yale University. Professor Xiao began his academic career as an Assistant Professor of Economics at the University of Illinois Urbana-Champaign in August 1997. His research interests include time series analysis, econometrics, and financial economics.

Professor Xiao’s numerous awards and recognitions reflect his scholarly excellence and significant contributions to the field of economics. He was awarded the Plura Scripsit Award in Econometric Theory in 2013, and became Fellow of the Journal of Econometrics in 2009. In 2007, he received the Boston College Distinguished Junior Scholar Research Award. From 2003 to 2005, he held the IBE Fellowship at the University of Illinois Urbana-Champaign, and in 2002 he won the Multa Scripsit Award in Econometric Theory.

Professor Xiao has served as an Associate Editor for various economics and statistics journals. He has been an Associate Editor for Econometric Theory since 2003, Econometrics Reviews since 2016, Economics Letters since 2013, Economics Bulletin since 2003, Journal of Time Series Econometrics since 2008, and Journal of Risk and Financial Management since 2013. He also served as an Associate Editor for Statistics and Its Interface from 2007 to 2014, Econometrics Journal from 2007 to 2011, and Journal of American Statistical Association from 2005 to 2010.