Jianqiang Li
Biographic Data
| ID | 3720977 |
|---|---|
| NAME | Jianqiang Li |
| GIVEN NAMES | Jianqiang |
| FAMILY NAME | Li |
| SIGNATURE | LI J |
| AFFILIATIONS | Beijing University of Technology |
| ORCID | 0000-0002-0029-1747 |
| VERIFIED | Yes |
| TOTAL WORKS | 15 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 15 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1993 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Goodbye, scheduling nightmares! Hotel staff scheduling decision-making through synergistic optimization of GAI and swarm intelligence
Given the inefficiency and uncertainty associated with traditional manual experience-based scheduling in hotel industry, this study further improves hotel human resource allocation and operation efficiency through the design of staff scheduling decision system. Grounded in service-profit chain theory, this study proposes a dual-stage scheduling decision system, which incorporates customer demand prediction and schedule optimization through synerg…
Dba-Sr
Social recommendation leverages social relations to complement user–item interactions, alleviating data sparsity in recommendation systems. However, existing approaches still suffer from two critical issues: social graphs inevitably contain noisy or redundant edges, which can hinder user representation learning, and the results of recommendations are biased toward popular items, failing to capture user preferences for long-tail items. To address …
Can artificial intelligence read between the lines
PURPOSE: To explore ChatGPT's utility in evaluating medical students' implicit attitudes toward the doctor-patient relationship (DPR). MATERIALS AND METHODS: This study analyzed interview transcripts from 10 medical students, categorizing implicit DPR attitudes into Care and Share dimensions, each with 5 levels. We first assessed ChatGPT's ability to identify DPR-related textual content, then compared grading results from experts, ChatGPT, and pa…
Intra‐City Tourism Flow Forecasting
Intra‐city tourism flow forecasting plays a critical part in urban destination management and planning. However, research on this issue is extremely inadequate because of the challenges of intra‐city tourism flow forecasting and the difficulty of obtaining data on intra‐city tourism flows. Therefore, this study aims to construct a novel deep learning model that integrates a graph attention network and long short‐term memory for the accurate predi…
Detecting multi-modal GAI-manipulated tourism review
Tourism demand forecasting using complex network theory
Tourism demand forecasting is proven essential to optimize management, increase revenues, and control risks. Spatial effects have been widely considered in forecasting models and achieved good results. However, existing studies paid little attention to the dynamicity and hierarchy of spatial correlations among tourist attractions within tourism destination complex networks. This study addresses this paucity by proposing a novel deep learning mode…
Establishment and psychometric characteristics of emotional words list for suicidal risk assessment in speech emotion recognition
This study demonstrated that the EWLSRA has adequate psychometric performance in identifying suicide-related emotional words of recording of hotline callers to a national wide suicide prevention line. This list can be useful for SER in future studies on suicide prevention
Environmental Regulation, Rural Residents’ Health Investment, and Agricultural Eco-Efficiency
This paper explores the effects of environmental regulation ( ER ) and rural residents' health investment (RRHI) on agricultural eco-efficiency ( AEE ) to provide a reference for the Chinese Government and other developing countries for implementing environmental regulation policies and to provide new paths to further improve green development in agriculture. Using the panel data of 31 Chinese provinces from 2009-2018, the Super-SBM model was use…
A Spatiotemporal Recurrent Neural Network for Prediction of Atmospheric PM2.5
With rapid industrial development, air pollution problems, especially in urban and metropolitan centers, have become a serious societal problem and require our immediate attention and comprehensive solutions to protect human and animal health and the environment. Because bad air quality brings prominent effects on our daily life, how to forecast future air quality accurately and tenuously has emerged as a priority for guaranteeing the quality of …
Participatory child-centered disaster risk reduction education
Purpose Disaster risk reduction (DRR) researchers and practitioners have found that schools can play a critical role in DRR education, with many Non-Governmental Organizations (NGOs) developing initiatives to actively involve children in DRR education programs. This paper reports on a case study on an innovative Chinese NGO school-based program focused on participatory child-centered DRR (PCC-DRR) education, from which a PCC-DRR education framewo…
Privacy-Preserving Global Structural Balance Computation in Signed Networks
The studies on signed networks have received a great attention due to their capabilities on presenting conflicting relationships, which reflect the potential conflicts and tensions of complex systems. To further understand those conflicts and tensions, many methods have been proposed for computing the global structural balance (GSB) of signed networks, which aim to discover the most balanced state of the networks with the least number of unbalanc…
Driving Mechanism of Power Battery Recycling Systems in Companies
In recent years, international environmental and public health research has become a hot topic, and battery recycling, which is often mentioned separately from waste disposal, has likewise become an academic topic. Battery recycling research is beneficial not only for controlling toxic and harmful substances, but also for public health. In addition, battery recycling brings value-added benefits to company management. As the most important link in…
The commuting rural labour forces revealed by mobile phone trace data
Many rural labour forces are involved in non-farm employment and follow a non-traditional lifestyle in developing countries. Among the different types of new livelihoods, rural-urban commuting has received relatively scant research. To fill this gap, this study takes advantage of mobile phone trace data, which has been widely used in urban studies but less so in rural topics. From one week's mobile phone trace data in the city of Chengdu, China, …
Evaluating the Effect of a Novel Molluscicide in the Endemic Schistosomiasis Japonica Area of China
Oncomelania hupensis is the sole intermediate host snail of Schistosoma japonicum in China. Snail control by molluscicide remains one of the most effective measures of schistosomiasis japonica control. A 50% wettable powder of niclosamide ethanolamine salt (WPN) is widely used for snail control in China. However, WPN is costly and toxic to fish. A novel molluscicide named LDS, the salt of quinoid-2', 5-dichloro-4'-nitrosalicylanilide from niclosa…
Chinese Popular Film Criticism
Detecting multi-modal GAI-manipulated tourism review
Tourism demand forecasting using complex network theory
Tourism demand forecasting is proven essential to optimize management, increase revenues, and control risks. Spatial effects have been widely considered in forecasting models and achieved good results. However, existing studies paid little attention to the dynamicity and hierarchy of spatial correlations among tourist attractions within tourism destination complex networks. This study addresses this paucity by proposing a novel deep learning mode…
The commuting rural labour forces revealed by mobile phone trace data
Many rural labour forces are involved in non-farm employment and follow a non-traditional lifestyle in developing countries. Among the different types of new livelihoods, rural-urban commuting has received relatively scant research. To fill this gap, this study takes advantage of mobile phone trace data, which has been widely used in urban studies but less so in rural topics. From one week's mobile phone trace data in the city of Chengdu, China, …
Chinese Popular Film Criticism
Evaluating the Effect of a Novel Molluscicide in the Endemic Schistosomiasis Japonica Area of China
Oncomelania hupensis is the sole intermediate host snail of Schistosoma japonicum in China. Snail control by molluscicide remains one of the most effective measures of schistosomiasis japonica control. A 50% wettable powder of niclosamide ethanolamine salt (WPN) is widely used for snail control in China. However, WPN is costly and toxic to fish. A novel molluscicide named LDS, the salt of quinoid-2', 5-dichloro-4'-nitrosalicylanilide from niclosa…
The commuting rural labour forces revealed by mobile phone trace data
Many rural labour forces are involved in non-farm employment and follow a non-traditional lifestyle in developing countries. Among the different types of new livelihoods, rural-urban commuting has received relatively scant research. To fill this gap, this study takes advantage of mobile phone trace data, which has been widely used in urban studies but less so in rural topics. From one week's mobile phone trace data in the city of Chengdu, China, …
Privacy-Preserving Global Structural Balance Computation in Signed Networks
The studies on signed networks have received a great attention due to their capabilities on presenting conflicting relationships, which reflect the potential conflicts and tensions of complex systems. To further understand those conflicts and tensions, many methods have been proposed for computing the global structural balance (GSB) of signed networks, which aim to discover the most balanced state of the networks with the least number of unbalanc…
Driving Mechanism of Power Battery Recycling Systems in Companies
In recent years, international environmental and public health research has become a hot topic, and battery recycling, which is often mentioned separately from waste disposal, has likewise become an academic topic. Battery recycling research is beneficial not only for controlling toxic and harmful substances, but also for public health. In addition, battery recycling brings value-added benefits to company management. As the most important link in…
A Spatiotemporal Recurrent Neural Network for Prediction of Atmospheric PM2.5
With rapid industrial development, air pollution problems, especially in urban and metropolitan centers, have become a serious societal problem and require our immediate attention and comprehensive solutions to protect human and animal health and the environment. Because bad air quality brings prominent effects on our daily life, how to forecast future air quality accurately and tenuously has emerged as a priority for guaranteeing the quality of …
Participatory child-centered disaster risk reduction education
Purpose Disaster risk reduction (DRR) researchers and practitioners have found that schools can play a critical role in DRR education, with many Non-Governmental Organizations (NGOs) developing initiatives to actively involve children in DRR education programs. This paper reports on a case study on an innovative Chinese NGO school-based program focused on participatory child-centered DRR (PCC-DRR) education, from which a PCC-DRR education framewo…
Establishment and psychometric characteristics of emotional words list for suicidal risk assessment in speech emotion recognition
This study demonstrated that the EWLSRA has adequate psychometric performance in identifying suicide-related emotional words of recording of hotline callers to a national wide suicide prevention line. This list can be useful for SER in future studies on suicide prevention
Environmental Regulation, Rural Residents’ Health Investment, and Agricultural Eco-Efficiency
This paper explores the effects of environmental regulation ( ER ) and rural residents' health investment (RRHI) on agricultural eco-efficiency ( AEE ) to provide a reference for the Chinese Government and other developing countries for implementing environmental regulation policies and to provide new paths to further improve green development in agriculture. Using the panel data of 31 Chinese provinces from 2009-2018, the Super-SBM model was use…
Tourism demand forecasting using complex network theory
Tourism demand forecasting is proven essential to optimize management, increase revenues, and control risks. Spatial effects have been widely considered in forecasting models and achieved good results. However, existing studies paid little attention to the dynamicity and hierarchy of spatial correlations among tourist attractions within tourism destination complex networks. This study addresses this paucity by proposing a novel deep learning mode…
Intra‐City Tourism Flow Forecasting
Intra‐city tourism flow forecasting plays a critical part in urban destination management and planning. However, research on this issue is extremely inadequate because of the challenges of intra‐city tourism flow forecasting and the difficulty of obtaining data on intra‐city tourism flows. Therefore, this study aims to construct a novel deep learning model that integrates a graph attention network and long short‐term memory for the accurate predi…
Detecting multi-modal GAI-manipulated tourism review
Goodbye, scheduling nightmares! Hotel staff scheduling decision-making through synergistic optimization of GAI and swarm intelligence
Given the inefficiency and uncertainty associated with traditional manual experience-based scheduling in hotel industry, this study further improves hotel human resource allocation and operation efficiency through the design of staff scheduling decision system. Grounded in service-profit chain theory, this study proposes a dual-stage scheduling decision system, which incorporates customer demand prediction and schedule optimization through synerg…
Dba-Sr
Social recommendation leverages social relations to complement user–item interactions, alleviating data sparsity in recommendation systems. However, existing approaches still suffer from two critical issues: social graphs inevitably contain noisy or redundant edges, which can hinder user representation learning, and the results of recommendations are biased toward popular items, failing to capture user preferences for long-tail items. To address …
Can artificial intelligence read between the lines
PURPOSE: To explore ChatGPT's utility in evaluating medical students' implicit attitudes toward the doctor-patient relationship (DPR). MATERIALS AND METHODS: This study analyzed interview transcripts from 10 medical students, categorizing implicit DPR attitudes into Care and Share dimensions, each with 5 levels. We first assessed ChatGPT's ability to identify DPR-related textual content, then compared grading results from experts, ChatGPT, and pa…
Geography (7 works) · Computer Science (5 works) · Business (4 works) · Economics (4 works) · Medicine (4 works) · Political science (3 works) · Tourism (3 works) · Agriculture (2 works) · Algorithm (2 works) · Artificial Intelligence (2 works)