Tao Qin
Biographic Data
| ID | 4327059 |
|---|---|
| NAME | Tao Qin |
| GIVEN NAMES | Tao |
| FAMILY NAME | Qin |
| SIGNATURE | QIN T |
| AFFILIATIONS | Xi'an Jiaotong University |
| ORCID | 0000-0003-4874-2567 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1996 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Transfer Adaptive Dictionary Learning With Intraclass Low-Rank Regularization for EEG Signal Classification
Classification of electroencephalogram (EEG) signals holds significant implications for assisting clinical diagnosis, treatment, and monitoring. Nonetheless, this domain encounters several challenges arising from the diversity, complexity, and paucity of EEG data. Therefore, this article proposes transfer adaptive dictionary learning with intraclass low-rank regularization (TADL-ICLR) for EEG signal classification. Within the framework of multiso…
Improving Representation Alignment and Uniformity With Siamese Graph Contrastive Learning for Recommendation
Graph contrastive learning (GCL) has shown excellent performance in recommender systems. However, GCL-based methods have two major problems. First, many methods use graph perturbations to create the contrastive view, this operation may compromise the structure of the original graph. Second, some algorithms pursue the uniformity of features, but neglect the alignment, which may lead to the features of similar samples in the feature space distancin…
Tiragnn
Social recommendation systems predict user preferences by using social relationships to address data sparsity and cold-start problems. Since social relations and user–item interactions can naturally be modeled as graph structures, graph neural networks (GNNs) have achieved significant success in social recommendation. However, most existing models fail to incorporate temporal information when modeling user–item interactions and rely solely on exp…
Ethanol extract of Moschus attenuates glutamate-induced cytotoxicity in HT22 cells by regulating the Nrf2 and Mapk pathways
All-cause and cardiovascular mortality in dual sensory impairment patients
Association between organophosphorus insecticides exposure and osteoarthritis in patients with arteriosclerotic cardiovascular disease
High levels of urine dialkyl phosphate metabolites (DAP) of multiple OPPs are associated with an increased prevalence of OA in patients with ASCVD, suggesting the need to prevent exposure to OPPs in ASCVD patients to avoid triggering OA and further avoid the occurrence of cardiovascular events caused by OA
Sirqu
Rumors can spread very rapidly through online social networks (OSNs), leading to huge negative impact on human society. Hence, there is an urgent need to develop models that can minimize the spread of rumors. In this article, we propose a novel framework to improve the cost and efficiency of rumor propagation control. First, to reduce the impact of rumor controlling mechanism on users’ normal activities, we introduce a soft dynamic quarantine str…
Relationship between adult stature and timing of the pubertal growth spurt
Various literature report that little or no correlation exists between adult stature (AS) and the timing of the pubertal growth spurt in stature. No direct linear relationship between AS and age at peak height velocity (PHV) was evident in the Hiroshima Growth Study sample. However, the partial correlation between AS and age at PHV was negative when stature at PHV was controlled. That is, AS and age at PHV negatively correlate with each other so …
No prominent works on this page.
Relationship between adult stature and timing of the pubertal growth spurt
Various literature report that little or no correlation exists between adult stature (AS) and the timing of the pubertal growth spurt in stature. No direct linear relationship between AS and age at peak height velocity (PHV) was evident in the Hiroshima Growth Study sample. However, the partial correlation between AS and age at PHV was negative when stature at PHV was controlled. That is, AS and age at PHV negatively correlate with each other so …
Sirqu
Rumors can spread very rapidly through online social networks (OSNs), leading to huge negative impact on human society. Hence, there is an urgent need to develop models that can minimize the spread of rumors. In this article, we propose a novel framework to improve the cost and efficiency of rumor propagation control. First, to reduce the impact of rumor controlling mechanism on users’ normal activities, we introduce a soft dynamic quarantine str…
All-cause and cardiovascular mortality in dual sensory impairment patients
Association between organophosphorus insecticides exposure and osteoarthritis in patients with arteriosclerotic cardiovascular disease
High levels of urine dialkyl phosphate metabolites (DAP) of multiple OPPs are associated with an increased prevalence of OA in patients with ASCVD, suggesting the need to prevent exposure to OPPs in ASCVD patients to avoid triggering OA and further avoid the occurrence of cardiovascular events caused by OA
Improving Representation Alignment and Uniformity With Siamese Graph Contrastive Learning for Recommendation
Graph contrastive learning (GCL) has shown excellent performance in recommender systems. However, GCL-based methods have two major problems. First, many methods use graph perturbations to create the contrastive view, this operation may compromise the structure of the original graph. Second, some algorithms pursue the uniformity of features, but neglect the alignment, which may lead to the features of similar samples in the feature space distancin…
Tiragnn
Social recommendation systems predict user preferences by using social relationships to address data sparsity and cold-start problems. Since social relations and user–item interactions can naturally be modeled as graph structures, graph neural networks (GNNs) have achieved significant success in social recommendation. However, most existing models fail to incorporate temporal information when modeling user–item interactions and rely solely on exp…
Ethanol extract of Moschus attenuates glutamate-induced cytotoxicity in HT22 cells by regulating the Nrf2 and Mapk pathways
Transfer Adaptive Dictionary Learning With Intraclass Low-Rank Regularization for EEG Signal Classification
Classification of electroencephalogram (EEG) signals holds significant implications for assisting clinical diagnosis, treatment, and monitoring. Nonetheless, this domain encounters several challenges arising from the diversity, complexity, and paucity of EEG data. Therefore, this article proposes transfer adaptive dictionary learning with intraclass low-rank regularization (TADL-ICLR) for EEG signal classification. Within the framework of multiso…
Computer Science (4 works) · Artificial Intelligence (3 works) · Medicine (3 works) · Advanced Graph Neural Networks (2 works) · Biology (2 works) · Graph (2 works) · Machine learning (2 works) · Psychology (2 works) · Recommender Systems and Techniques (2 works) · Theoretical Computer Science (2 works)