Xuesong Wang
Biographic Data
| ID | 5534495 |
|---|---|
| NAME | Xuesong Wang |
| GIVEN NAMES | Xuesong |
| FAMILY NAME | Wang |
| SIGNATURE | WANG X |
| AFFILIATIONS | China University of Mining and Technology |
| ORCID | 0000-0001-8046-3213 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Metaphors as Semantic Anchors
Due to cultural influences and the long history of language evolution, metaphorical expressions are pervasive in Chinese texts, particularly in ironical comments, poetry, and various literary works. Traditional Chinese text classification methods relying on surface-level features often fail to bridge the gap between literal features and label spaces in such texts. To address this problem, we propose L-MAM, a novel label-constrained contrastive le…
Debiased Sequential Recommendation by Separating Long-Term and Short-Term Interests
A significant problem in sequential recommendation (SR) is the over-recommendation of popular items, leading to popularity bias, as users often follow these items due to conformity. Existing methods measure users’ conformity factors to reduce the impact of popularity bias. However, these methods do not consider the differences in users’ conformity behavior in the long-term and short-term. To address this, we propose LSDRec, a novel debiased SR me…
Watching the right video at the right time — A study of the effect of temporal landmarks on personal branding preferences for short videos
Thanks to the development of digital technology, short-videos have become fully integrated into users' daily lives. Time, as an intangible yet important environmental variable, subtly influences individuals' cognition and behavior in various ways. Among the existing studies on short-video platforms, there has been limited focus on the impact of temporal landmarks on social media users' behavior and preferences. To address this gap, this paper exa…
Miar
The different news clicked by users reflects the diverse interests of users. Most of the existing news recommendation methods do not consider the interaction with candidate news in the process of modeling user interest representation. This method makes it challenging to precisely match candidate news to specific user interests. We propose a user interest activation recommendation method that fuses multichannel information—MIAR. It utilizes the wo…
Recommendation Model Based on Enhanced Graph Convolution That Fuses Review Properties
In rating prediction research, how to capture user and item features from review text is a key to improving model prediction accuracy. The sparsity of review text and the accuracy of the description of items in the review text make it difficult to obtain accurate feature representations of users and items by modeling the text content alone. Therefore, it is important to evaluate the usefulness of the reviews at first because not all review texts …
Trends in Health Service Use for Canadian Adults With Dementia and Parkinson Disease During the First Wave of the Covid-19 Pandemic
In this population-based repeated cross-sectional study in Ontario, Canada, those with dementia, those with PD, and older adults sought hospital care far less than usual, were not admitted to nursing homes, and experienced excess mortality during the first wave of the pandemic. Most services returned to historical levels, but virtual physician visits remained a feature of care. While issues of equity and quality of care are still emerging among p…
Influence of a Wellness Course on Meaning-in-Life and Anxiety of Counselors-in-Training
This study examined how a special wellness course affects perception of meaning-in-life and state-trait anxiety of Hispanic counselor trainees. A quantitative analysis showed an increase in participants’ perception of meaning-in-life and a concurrent decrease in anxiety. Participants’ self-reports revealed how their perception of meaning-in-life and anxiety levels changed over the course of time. Together, the results confirmed a strong inverse r…
Classifying road network patterns using multinomial logit model
The Effect of Multidisciplinary Heart Failure Clinic Characteristics on 1-Year Postdischarge Health Care Costs
BACKGROUND: Although multidisciplinary heart failure (HF) clinics are efficacious, it is not known how patient factors or HF clinic structural indicators and process measures have an impact on the cumulative health care costs. RESEARCH DESIGN: In this retrospective cohort study using administrative databases in Ontario, Canada, we identified 1216 HF patients discharged alive after an acute care hospitalization in 2006 and treated at a HF clinic. …
Administrative Hospitalization Database Validation of Cardiac Procedure Codes
BACKGROUND: Although cardiac procedures are commonly used to treat cardiovascular disease, they are costly. Administrative data sources could be used to track cardiac procedures, but sources of such data have not been validated against clinical registries. OBJECTIVES: To examine accuracy of cardiac procedure coding in administrative databases versus a prospective clinical registry. SAMPLE: We examined a total of 182,018 common cardiac procedures …
Risk-based air pollutants management at regional levels
Risk-based air pollutants management at regional levels
Administrative Hospitalization Database Validation of Cardiac Procedure Codes
BACKGROUND: Although cardiac procedures are commonly used to treat cardiovascular disease, they are costly. Administrative data sources could be used to track cardiac procedures, but sources of such data have not been validated against clinical registries. OBJECTIVES: To examine accuracy of cardiac procedure coding in administrative databases versus a prospective clinical registry. SAMPLE: We examined a total of 182,018 common cardiac procedures …
The Effect of Multidisciplinary Heart Failure Clinic Characteristics on 1-Year Postdischarge Health Care Costs
BACKGROUND: Although multidisciplinary heart failure (HF) clinics are efficacious, it is not known how patient factors or HF clinic structural indicators and process measures have an impact on the cumulative health care costs. RESEARCH DESIGN: In this retrospective cohort study using administrative databases in Ontario, Canada, we identified 1216 HF patients discharged alive after an acute care hospitalization in 2006 and treated at a HF clinic. …
Classifying road network patterns using multinomial logit model
Influence of a Wellness Course on Meaning-in-Life and Anxiety of Counselors-in-Training
This study examined how a special wellness course affects perception of meaning-in-life and state-trait anxiety of Hispanic counselor trainees. A quantitative analysis showed an increase in participants’ perception of meaning-in-life and a concurrent decrease in anxiety. Participants’ self-reports revealed how their perception of meaning-in-life and anxiety levels changed over the course of time. Together, the results confirmed a strong inverse r…
Trends in Health Service Use for Canadian Adults With Dementia and Parkinson Disease During the First Wave of the Covid-19 Pandemic
In this population-based repeated cross-sectional study in Ontario, Canada, those with dementia, those with PD, and older adults sought hospital care far less than usual, were not admitted to nursing homes, and experienced excess mortality during the first wave of the pandemic. Most services returned to historical levels, but virtual physician visits remained a feature of care. While issues of equity and quality of care are still emerging among p…
Miar
The different news clicked by users reflects the diverse interests of users. Most of the existing news recommendation methods do not consider the interaction with candidate news in the process of modeling user interest representation. This method makes it challenging to precisely match candidate news to specific user interests. We propose a user interest activation recommendation method that fuses multichannel information—MIAR. It utilizes the wo…
Recommendation Model Based on Enhanced Graph Convolution That Fuses Review Properties
In rating prediction research, how to capture user and item features from review text is a key to improving model prediction accuracy. The sparsity of review text and the accuracy of the description of items in the review text make it difficult to obtain accurate feature representations of users and items by modeling the text content alone. Therefore, it is important to evaluate the usefulness of the reviews at first because not all review texts …
Metaphors as Semantic Anchors
Due to cultural influences and the long history of language evolution, metaphorical expressions are pervasive in Chinese texts, particularly in ironical comments, poetry, and various literary works. Traditional Chinese text classification methods relying on surface-level features often fail to bridge the gap between literal features and label spaces in such texts. To address this problem, we propose L-MAM, a novel label-constrained contrastive le…
Debiased Sequential Recommendation by Separating Long-Term and Short-Term Interests
A significant problem in sequential recommendation (SR) is the over-recommendation of popular items, leading to popularity bias, as users often follow these items due to conformity. Existing methods measure users’ conformity factors to reduce the impact of popularity bias. However, these methods do not consider the differences in users’ conformity behavior in the long-term and short-term. To address this, we propose LSDRec, a novel debiased SR me…
Watching the right video at the right time — A study of the effect of temporal landmarks on personal branding preferences for short videos
Thanks to the development of digital technology, short-videos have become fully integrated into users' daily lives. Time, as an intangible yet important environmental variable, subtly influences individuals' cognition and behavior in various ways. Among the existing studies on short-video platforms, there has been limited focus on the impact of temporal landmarks on social media users' behavior and preferences. To address this gap, this paper exa…
Artificial Intelligence (5 works) · Computer Science (5 works) · Data mining (3 works) · Information retrieval (3 works) · Medicine (3 works) · Recommender Systems and Techniques (3 works) · Emergency Medicine (2 works) · Emergency Medicine (2 works) · Internal Medicine (2 works) · Internal Medicine (2 works)