Zhijie Lin
Biographic Data
| ID | 3593253 |
|---|---|
| NAME | Zhijie Lin |
| GIVEN NAMES | Zhijie |
| FAMILY NAME | Lin |
| SIGNATURE | LIN Z |
| AFFILIATIONS | Tsinghua University |
| ORCID | 0000-0003-2668-5135 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Daily fluctuations in Covid-19 infection rates under Tokyo’s epidemic prevention measures – new evidence from adaptive Fourier decomposition
Background The COVID-19 pandemic has witnessed widespread infections and variants. Particularly, Tokyo faced the challenge of seven waves of COVID-19, during which government interventions played a pivotal role. Therefore, gaining a comprehensive understanding of government control measures is of paramount importance, which is beneficial for health authorities in the policy development process. Method Our study analysis the daily change data of t…
Temporary impact on medical system and effectiveness of mitigation strategies after Covid-19 policy adjustment in China
Background: As China amends its "zero COVID" strategy, a sudden increase in the number of infections may overwhelm medical resources and its impact has not been quantified. Specific mitigation strategies are needed to minimize disruption to the healthcare system and to prepare for the next possible epidemic in advance. Method: We develop a stochastic compartmental model to project the burden on the medical system (that is, the number of fever cli…
Complements are warm and substitutes are competent
Purpose Previous research about online recommendation systems has focused largely on their impact on customers' purchase decisions regarding the products being recommended, but it has mostly ignored how they may affect focal product evaluation. This research aimed to examine the influence of recommendation type (i.e. substitute-based vs complement-based) on focal product evaluation dependent on the brand image (i.e. warm vs competent). Design/met…
Investigating the impact of home-sharing on the traditional rental market
Purpose The sharing economy has enjoyed rapid growth in recent years, and entered many traditional industries such as accommodation, transportation and lending. Although researchers in information systems and marketing have attempted to examine the impacts of the sharing economy on traditional businesses, they have not yet studied the rental housing market. Thus, this research aims to investigate the impact of the sharing economy (i.e. home-shari…
Interpretable video tag recommendation with multimedia deep learning framework
Purpose Tags help promote customer engagement on video-sharing platforms. Video tag recommender systems are artificial intelligence-enabled frameworks that strive for recommending precise tags for videos. Extant video tag recommender systems are uninterpretable, which leads to distrust of the recommendation outcome, hesitation in tag adoption and difficulty in the system debugging process. This study aims at constructing an interpretable and nove…
Complements are warm and substitutes are competent
Purpose Previous research about online recommendation systems has focused largely on their impact on customers' purchase decisions regarding the products being recommended, but it has mostly ignored how they may affect focal product evaluation. This research aimed to examine the influence of recommendation type (i.e. substitute-based vs complement-based) on focal product evaluation dependent on the brand image (i.e. warm vs competent). Design/met…
Complements are warm and substitutes are competent
Purpose Previous research about online recommendation systems has focused largely on their impact on customers' purchase decisions regarding the products being recommended, but it has mostly ignored how they may affect focal product evaluation. This research aimed to examine the influence of recommendation type (i.e. substitute-based vs complement-based) on focal product evaluation dependent on the brand image (i.e. warm vs competent). Design/met…
Investigating the impact of home-sharing on the traditional rental market
Purpose The sharing economy has enjoyed rapid growth in recent years, and entered many traditional industries such as accommodation, transportation and lending. Although researchers in information systems and marketing have attempted to examine the impacts of the sharing economy on traditional businesses, they have not yet studied the rental housing market. Thus, this research aims to investigate the impact of the sharing economy (i.e. home-shari…
Interpretable video tag recommendation with multimedia deep learning framework
Purpose Tags help promote customer engagement on video-sharing platforms. Video tag recommender systems are artificial intelligence-enabled frameworks that strive for recommending precise tags for videos. Extant video tag recommender systems are uninterpretable, which leads to distrust of the recommendation outcome, hesitation in tag adoption and difficulty in the system debugging process. This study aims at constructing an interpretable and nove…
Daily fluctuations in Covid-19 infection rates under Tokyo’s epidemic prevention measures – new evidence from adaptive Fourier decomposition
Background The COVID-19 pandemic has witnessed widespread infections and variants. Particularly, Tokyo faced the challenge of seven waves of COVID-19, during which government interventions played a pivotal role. Therefore, gaining a comprehensive understanding of government control measures is of paramount importance, which is beneficial for health authorities in the policy development process. Method Our study analysis the daily change data of t…
Temporary impact on medical system and effectiveness of mitigation strategies after Covid-19 policy adjustment in China
Background: As China amends its "zero COVID" strategy, a sudden increase in the number of infections may overwhelm medical resources and its impact has not been quantified. Specific mitigation strategies are needed to minimize disruption to the healthcare system and to prepare for the next possible epidemic in advance. Method: We develop a stochastic compartmental model to project the burden on the medical system (that is, the number of fever cli…
Business (2 works) · Computer Science (2 works) · COVID-19 epidemiological studies (2 works) · Disease (2 works) · Econometrics (2 works) · Marketing (2 works) · Mathematics (2 works) · Medicine (2 works) · Pandemic (2 works) · Psychological intervention (2 works)