Convergence analysis on the particle systems with centralized control
10:00
Talk & Lecture
1
2839716
/english/2023/1218/c19936a2839716/page.psp
2023-12-18
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Speaker: Prof. ZHOU Chao (National University of Singapore)Venue: Room 102, Building 2, Haina Court, Zijingang CampusAbstract: This paper deals with the optimization problem of a class of controlled N-particle systems. We establish the regularity results, which is uniform in N, on the HJB equations corresponding to the N-particle system. The uniform regularity results are obtained by the stochastic maximum principle and the analysis on a Riccati type BSDE. Using the uniform regularity results, we show the convergence of value function and optimal control as the number N of particles tends to infinity, where the convergence rates are also given. This is based on a joint work with Huafu Liao, Alpar Meszaros and Chenchen Mou.Contact person: Prof. ZHANG Rongmao (rmzhang@zju.edu.cn)
This paper deals with the optimization problem of a class of controlled N-particle systems.
2023-12-20 10:00:00
Room 102, Building 2, Haina Court, Zijingang Campus
Customer Product Returns in Online Retail
14:00-15:30
Talk & Lecture
2
2837169
/english/2023/1211/c19936a2837169/page.psp
2023-12-11
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Speaker: Prof. RONG Ying (Professor of Management Science at Shanghai Jiao Tong University)Venue: Room 357/359, ZIBS Building, Haining CampusLanguage: ChineseAbstract: This talk explores customer returns in an online environment, comprising two distinct parts. The first part investigates the influence of live social interactions in livestream e-commerce. Live interactions, allowing real-time communication between streamers and customers, are believed to have a persuasive impact on product returns. Using data from a leading livestream e-commerce company, the study compares product returns in live sessions (featuring live social interactions) to rerun sessions (without such interactions). Econometric models estimate the impact of live social interaction intensity on returns. The results reveal that live sessions have higher return rates than rerun sessions, with the effect strengthening as interaction intensity increases. This confirms the persuasive role of live interactions in livestream e-commerce. The study also finds that the effect is more pronounced when streamers are experienced, assortment sizes are smaller, and product prices are lower. Increasing interaction intensity by one standard deviation can boost return rates by up to 8.59%, significant relative to average rates, with implications discussed.
This talk explores customer returns in an online environment, comprising two distinct parts. The first part investigates the influence of live social interactions in livestream e-commerce.The study also finds that the effect is more pronounced when streamers are experienced, assortment sizes are smaller, and product prices are lower.
2023-12-15 14:00:00
Room 357/359, ZIBS Building, Haining Campus
Switching Costs and Market Power in the Auditing: Evidence from a Structural Approach
14:00-17:00
Talk & Lecture
3
2836878
/english/2023/1211/c19936a2836878/page.psp
2023-12-11
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Speaker: Prof. ZHU AiyongVenue: A423, School of Management, Zijingang CampusAbstract: This study provides novel evidence on the magnitude of switching costs in auditing. We use a discrete choice approach to infer switching costs from clients’auditor choices. The demand estimation reveals that switching costs matter and that they differ by the direction with switching from non-Big 4 to Big 4 auditors being associated with the greatest switching costs. Counterfactual analyses of forced auditor switches indicate that switching costs are substantial, ranging from 0.7 billion US dollars (14.2% of audit fees) to 1.2 billion US dollars (24.0% of audit fees) when aggregated across all clients. Counterfactual analyses of voluntary auditor switches show that the audit market would become highly dynamic and more concentrated if switching costs were removed. Furthermore, clients would gain consumer surplus of up to 306 million US dollars (5.4% of audit fees) in this scenario. Overall, our study documents the important role of switching costs to understand audit market dynamics. The link of the paper is: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4166004.
This study provides novel evidence on the magnitude of switching costs in auditing. We use a discrete choice approach to infer switching costs from clients’ auditor choices.
2023-12-15 14:00:00
A423, School of Management, Zijingang Campus
Sklyanin determinants
16:00
Talk & Lecture
4
2836866
/english/2023/1211/c19936a2836866/page.psp
2023-12-11
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Speaker: Prof. JING NaihuanVenue: Room 101, Building 2, Haina Court, Zijingang Campus
We study the invariant theory of quantum symmetric spaces of symplectic and orthogonal types.
2023-12-12 16:00:00
Room 101, Building 2, Haina Court, Zijingang Campus
Some results on the Hermitian-Yang-Mills flow
10:30-11:30
Talk & Lecture
5
2836862
/english/2023/1211/c19936a2836862/page.psp
2023-12-11
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Speaker: Prof. ZHANG Chuanjing (University of Science and Technology of China)Venue: Room 202, Building 2, Haina Court, Zijingang CampusAbstract: In this talk, we consider the limiting property of the Hermitian-Yang-Mills flow and introduce our recent works in the non-Kähler case. Then we give some applications. These works are joint with Zeng Chen, Chao Li and Professor Xi Zhang.Contact person: Prof. JIANG Wenshuai (wsjiang@zju.edu.cn)
In this talk, we consider the limiting property of the Hermitian-Yang-Mills flow and introduce our recent works in the non-Kähler case. Then we give some applications.
2023-12-12 10:30:00
Room 202, Building 2, Haina Court, Zijingang Campus
How to communicate effectively with the managing editor during the submission process? A practical case study sharing
14:00-15:30
Talk & Lecture
6
2834174
/english/2023/1204/c19936a2834174/page.psp
2023-12-05
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Speaker: Prof. FAN Jinyan (Auburn University)Host: Prof. LIU Yukun (Zhejiang University)Venue: A723, School of Management, Zijingang CampusProfile of the speaker: Jinyan Fan earned a PhD in industrial/organizational psychology from Ohio State University in 2004. Prior to joining Auburn’s faculty, Fan taught for six years at Hofstra University in Long Island, New York. His research interests are in the domains of artificial intelligence, personnel selection, newcomer orientation and socialization, and cross-cultural adjustment and training. His work has appeared in premier outlets such as Journal of Applied Psychology, Journal of Management, Journal of Organizational Behavior, Psychological Assessment, among others. Dr. Fan has received several awards and research funds from SIOP and AoM. He was an Associate Editor at Journal of Vocational Behavior between 2019 and 2021. In addition, Dr. Fan has developed several talent assessment tools, models, and methods and has actively engaged in HR consulting with various organizations in the U.S. and Mainland China.
Prof. FAN Jinyan's research interests are in the domains of artificial intelligence, personnel selection, newcomer orientation and socialization, and cross-cultural adjustment and training.
2023-12-12 14:00:00
A723, School of Management, Zijingang Campus
A divide-and-conquer approach for the analysis and Bayesian inference of high-dimensional noisy gene expression networks
15:00
Talk & Lecture
7
2836874
/english/2023/1211/c19936a2836874/page.psp
2023-12-04
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Speaker: Dr. FANG ZhouVenue: Room 102, Building 2, Haina Court, Zijingang CampusAbstract: Intracellular gene expression systems are inevitably random due to low molecular counts. Consequently, mechanistic models for gene expression should be stochastic, and central to the analysis and inference of such models is solving the Chemical Master Equation (CME), which characterizes the probability evolution of the randomly evolving copy-numbers of the reacting species. While conventional methods such as Monte-Carlo simulations and finite state projections exist for estimating CME solutions, they suffer from the curse of dimensionality, significantly decreasing their efficacy for high-dimensional systems. Here, we propose a new computational method that resolves this issue through a novel divide-and-conquer approach. Our method divides the system into a leader system and several conditionally independent follower subsystems. The solution of the CME is then constructed by combining Monte Carlo estimation for the leader system with stochastic filtering procedures for the follower subsystems. We develop an optimized system decomposition, which ensures the low-dimensionality of the sub-problems, thereby allowing for improved scalability with increasing system dimension. The efficiency and accuracy of the method are demonstrated through several biologically relevant examples in high-dimensional estimation and Bayesian filtering problems. We demonstrate that our method can successfully identify a yeast transcription system at the single-cell resolution, leveraging mRNA time-course microscopy data from real biological experiments, allowing us to rigorously examine the heterogeneity in rate parameters among isogenic cells cultured under identical conditions.Profile of the speaker: Dr. Zhou Fang is currently a postdoctoral researcher at ETH Zurich. He received a B.Sc. degree in Computational Mathematics from Zhejiang University in 2014. Later, he received a Ph.D. degree in Operational Research and Cybernetics from Zhejiang University in 2019. His research interest lies in the interface of mathematical control theory, computational sciences, probability, and biology. His primary goal is to develop computational methods and theoretical principles to unravel emergent phenomena in biology and facilitate the control and rational engineering of living cells.Contact person: Prof. GAO Chuanhou (gaochou@zju.edu.cn)
The efficiency and accuracy of the method are demonstrated through several biologically relevant examples in high-dimensional estimation and Bayesian filtering problems.
2023-12-11 15:00:00
Room 102, Building 2, Haina Court, Zijingang Campus
Methods and tools for the studies of biomolecular electrostatic interactions
16:00-18:00
Talk & Lecture
8
2834185
/english/2023/1204/c19936a2834185/page.psp
2023-12-04
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Speaker: Prof. GENG Weihua (Southern Methodist University)Venue: Room 105, Building 2, Haina Court, Zijingang CampusAbstract: This talk reports our recent development of numerical methods and software for the studies of electrostatic interactions of solvated biomolecules. The adopted mathematical models for the physical description of biomolecular electrostatics are the Poisson-Boltzmann model and the Poisson-Nernst-Planck model at various of details. The solutions to these models are numerically challenging due to long-range pairwise interaction, complex geometry, interface discontinuity, charge singularity, large-scale computing, etc. We designed and developed methods of fast summation, mesh generation, interface treatment, charge regularity, as well as parallel computing and machine learning to address these challenges.Contact person: Prof. ZHANG Qinghai (0015089@zju.edu.cn)
This talk reports our recent development of numerical methods and software for the studies of electrostatic interactions of solvated biomolecules.
2023-12-08 16:00:00
Room 105, Building 2, Haina Court, Zijingang Campus
From virtual properties to profinite properties
16:00
Talk & Lecture
9
2834111
/english/2023/1204/c19936a2834111/page.psp
2023-12-04
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Speaker: Prof. LIU Yi (Peking University)Venue: Room 210, Building 2, Haina Court, Zijingang CampusNote: Please scan the QR code in the picture above to register.
In this talk, I will give an overview of progress in 3-manifold topology about finite covers, and explain how it expands our knowledge on such properties for 3-manifold fundamental groups.
2023-12-08 16:00:00
Room 210, Building 2, Haina Court, Zijingang Campus