Peng Song
Biographic Data
| ID | 5863663 |
|---|---|
| NAME | Peng Song |
| GIVEN NAMES | Peng |
| FAMILY NAME | Song |
| SIGNATURE | SONG P |
| AFFILIATIONS | Yantai University |
| ORCID | 0000-0002-6029-945X |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 14 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Dynamic Graph Consistent Weighted Subspace Learning for Cross-Domain Speech Emotion Recognition
In recent years, cross-domain speech emotion recognition (SER) has attracted considerable interest. Most transfer subspace learning based SER methods lack unified adaptive constraints, making it difficult to balance discriminative capability and domain alignment, which limits their cross-domain generalization. To address these problems, we propose a novel domain adaptation (DA) approach called dynamic graph consistent weighted subspace learning (…
Dual-Hypergraph Based Symmetrical Self-Representation Learning for Cross-Domain Facial Expression Recognition
Coupled Sparse Subspace Alignment-Based Domain Adaptation for Speech Emotion Recognition
Speech emotion recognition (SER) is crucial for human–computer interaction (HCI), yet remains a challenge in cross-domain scenarios. Emotional expressions vary significantly across speakers, languages, and recording conditions, leading to serious domain shifts. Coupled subspace learning has recently attracted considerable attention in domain adaptation (DA) as an effective approach to mitigating domain discrepancies by capturing common and domain…
An Empirical Analysis of Running-Behavior Influencing Factors for Crashes with Different Economic Losses
Miniature commercial trucks constitute a critical component of urban freight systems but face elevated crash risk due to distinctive driving patterns, frequent operation, and variable loads. This study quantifies how long-term and short-term driving behaviors jointly shape crash economic loss levels and identifies factors most strongly associated with severe claims. A driver-level dataset linking multi-source running behavior indicators, vehicle …
Common Discriminative Latent Space Learning for Cross-Domain Speech Emotion Recognition
Cross-domain speech emotion recognition (SER) has received increasing attention in recent years. Existing transfer subspace learning and regression-based SER methods have the following drawbacks. The features in the subspace are still insufficiently representative and discriminative, and direct regression would lead to information loss. To address these problems, we present a novel common discriminative latent space learning (CDLSL) method for cr…
Generative urban modelling for walkable neighbourhoods: Design optimization for pedestrian-oriented street networks
Designing effective road and pedestrian networks is vital for urban mobility and sustainability. Urban generative models enable quantitative assessment of walkability but often lack separate pedestrian network generation and comparative analysis with vehicular accessibility. This study presents an integrated generative model producing land parcels, vehicular, and pedestrian networks, along with a geometry processing algorithm for sidewalks and cr…
Unlocking the economic potential of Direct Air Capture technology: Insights from a component-based learning curve
Direct air capture (DAC) technology is gaining increased attention for its flexibility and effectiveness in carbon removal . However, the high cost of DAC hinders the potential for emission reductions. We provide an approach to help evaluate these costs. To overcome the limitations of poor data quality, high technical complexity, and uncertainty in the cost forecasting of DAC techniques, we develop component-based learning curves based on four av…
A comprehensive pharmacokinetic strategy for systematic evaluation of whole interaction of different constituents in Astragali Radix -Fructus Corni to improve diabetic kidney disease
Tanshinone IIA, a component of Salvia miltiorrhiza Bunge, attenuated sepsis-induced liver injury via the Sirt1/Sestrin2/HO-1 signaling pathway
Common Latent Embedding Space for Cross-Domain Facial Expression Recognition
In practical facial expression recognition (FER), the training data and test data are often obtained from different domains. It is obvious that the domain disparity could significantly degrade the recognition performance. To tackle this challenging cross-domain FER problem, we put forward a novel method termed common latent embedding space (CLES). To be specific, first, we obtain a common embedding space for cross-domain samples by matrix factori…
Graph-Diffusion-Based Domain-Invariant Representation Learning for Cross-Domain Facial Expression Recognition
The precondition that most of the existing facial expression recognition (FER) algorithms have succeeded lies in that the training (source) and test (target) samples are independent of each other and identically distributed. However, it is too strict to satisfy this precondition in the real-world. To this end, we propose a novel graph-diffusion-based domain-invariant representation learning (GDRL) model for the cross-domain FER scenario where the…
Teachers’ authoritarian leadership and students’ well-being: The role of emotional exhaustion and narcissism
Our findings enriched the research on authoritarian leadership and narcissism, and also had important practical implications for future teacher teaching in higher education
Potential activity of Traditional Chinese Medicine against Ulcerative colitis: A review
A review of EIAs on trade policy in China: Exploring the way for economic policy EIAs
No prominent works on this page.
A review of EIAs on trade policy in China: Exploring the way for economic policy EIAs
Potential activity of Traditional Chinese Medicine against Ulcerative colitis: A review
Common Latent Embedding Space for Cross-Domain Facial Expression Recognition
In practical facial expression recognition (FER), the training data and test data are often obtained from different domains. It is obvious that the domain disparity could significantly degrade the recognition performance. To tackle this challenging cross-domain FER problem, we put forward a novel method termed common latent embedding space (CLES). To be specific, first, we obtain a common embedding space for cross-domain samples by matrix factori…
Graph-Diffusion-Based Domain-Invariant Representation Learning for Cross-Domain Facial Expression Recognition
The precondition that most of the existing facial expression recognition (FER) algorithms have succeeded lies in that the training (source) and test (target) samples are independent of each other and identically distributed. However, it is too strict to satisfy this precondition in the real-world. To this end, we propose a novel graph-diffusion-based domain-invariant representation learning (GDRL) model for the cross-domain FER scenario where the…
Teachers’ authoritarian leadership and students’ well-being: The role of emotional exhaustion and narcissism
Our findings enriched the research on authoritarian leadership and narcissism, and also had important practical implications for future teacher teaching in higher education
Common Discriminative Latent Space Learning for Cross-Domain Speech Emotion Recognition
Cross-domain speech emotion recognition (SER) has received increasing attention in recent years. Existing transfer subspace learning and regression-based SER methods have the following drawbacks. The features in the subspace are still insufficiently representative and discriminative, and direct regression would lead to information loss. To address these problems, we present a novel common discriminative latent space learning (CDLSL) method for cr…
Generative urban modelling for walkable neighbourhoods: Design optimization for pedestrian-oriented street networks
Designing effective road and pedestrian networks is vital for urban mobility and sustainability. Urban generative models enable quantitative assessment of walkability but often lack separate pedestrian network generation and comparative analysis with vehicular accessibility. This study presents an integrated generative model producing land parcels, vehicular, and pedestrian networks, along with a geometry processing algorithm for sidewalks and cr…
Unlocking the economic potential of Direct Air Capture technology: Insights from a component-based learning curve
Direct air capture (DAC) technology is gaining increased attention for its flexibility and effectiveness in carbon removal . However, the high cost of DAC hinders the potential for emission reductions. We provide an approach to help evaluate these costs. To overcome the limitations of poor data quality, high technical complexity, and uncertainty in the cost forecasting of DAC techniques, we develop component-based learning curves based on four av…
A comprehensive pharmacokinetic strategy for systematic evaluation of whole interaction of different constituents in Astragali Radix -Fructus Corni to improve diabetic kidney disease
Tanshinone IIA, a component of Salvia miltiorrhiza Bunge, attenuated sepsis-induced liver injury via the Sirt1/Sestrin2/HO-1 signaling pathway
Dynamic Graph Consistent Weighted Subspace Learning for Cross-Domain Speech Emotion Recognition
In recent years, cross-domain speech emotion recognition (SER) has attracted considerable interest. Most transfer subspace learning based SER methods lack unified adaptive constraints, making it difficult to balance discriminative capability and domain alignment, which limits their cross-domain generalization. To address these problems, we propose a novel domain adaptation (DA) approach called dynamic graph consistent weighted subspace learning (…
Dual-Hypergraph Based Symmetrical Self-Representation Learning for Cross-Domain Facial Expression Recognition
Coupled Sparse Subspace Alignment-Based Domain Adaptation for Speech Emotion Recognition
Speech emotion recognition (SER) is crucial for human–computer interaction (HCI), yet remains a challenge in cross-domain scenarios. Emotional expressions vary significantly across speakers, languages, and recording conditions, leading to serious domain shifts. Coupled subspace learning has recently attracted considerable attention in domain adaptation (DA) as an effective approach to mitigating domain discrepancies by capturing common and domain…
An Empirical Analysis of Running-Behavior Influencing Factors for Crashes with Different Economic Losses
Miniature commercial trucks constitute a critical component of urban freight systems but face elevated crash risk due to distinctive driving patterns, frequent operation, and variable loads. This study quantifies how long-term and short-term driving behaviors jointly shape crash economic loss levels and identifies factors most strongly associated with severe claims. A driver-level dataset linking multi-source running behavior indicators, vehicle …
Computer Science (5 works) · Emotion and Mood Recognition (5 works) · Artificial Intelligence (4 works) · Discriminative model (4 works) · Face and Expression Recognition (4 works) · Graph (4 works) · Domain adaptation (3 works) · Mathematics (3 works) · Medicine (3 works) · Traditional medicine (3 works)