Hong Peng
Biographic Data
| ID | 6319274 |
|---|---|
| NAME | Hong Peng |
| GIVEN NAMES | Hong |
| FAMILY NAME | Peng |
| SIGNATURE | PENG H |
| AFFILIATIONS | Lanzhou University |
| ORCID | 0000-0002-3879-303X |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 10 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Recycling of crystalline‐silicon photovoltaic modules in China: Policies, technologies and prospects
Sam-Ss: Straightforward and Efficient Designs Based on Segment Anything Model for Semantic Segmentation
Image segmentation is a fundamental task in computer vision and computational social systems, with semantic segmentation aiming to assign each pixel to a corresponding label. Due to the inherent richness of categories and contextual information in images, image segmentation remains a challenging problem. Currently, semantic segmentation models based on the segment anything model have demonstrated promising results. However, they continue to encou…
GILMRec: Graph Invariant Learning for Multimodal Recommendation
Multimodal recommendation is a crucial technology on social media platforms. It is widely applied in scenarios such as product recommendation and advertising delivery. However, existing multimodal recommendation approaches often overlook invariant semantic features that persist across modalities, leading to decreased robustness and generalization. To address this limitation, we propose GILMRec , a novel g raph i nvariant l earning-based m ultimod…
Analysis of the mediating effect of invasive ruminative contemplation on the relationship between social support and non-suicidal self-injury behavior in depressed patients
Social support can influence NSSI behavior in depressed patients by regulating intrusive rumination. It is crucial to emphasize the assessment of intrusive rumination in clinical practice to reduce the occurrence of NSSI behavior
Indirect Interactions Discovering and True Negative Sampling for Multimodal Recommendation
Multimodal recommendation has become a key technology for social media platforms. It is widely used in content recommendation, user preference analysis, advertisement placement, etc. Existing recommendation methods mainly focus on learning multimodal embeddings from direct interactions between users and items, ignoring indirect interactions among users-to-users and items-to-items. This limits the further exploration of potential interests between…
Evolution of water-carrying capacity and response law of land space pattern in the Three Gorges Reservoir Area
A Hybrid Classification to Detect Abstinent Heroin-Addicted Individuals Using EEG Microstates
Objective: Diagnosis of the severity of heroin addiction with electroencephalography (EEG) signals is a challenging problem. It has been shown that brain microstates are associated with brain status and healthy condition. However, there is no study on how heroin addiction affects brain microstates. Approach: We propose a hybrid classifier based on the microstate features, extracting from resting state EEGs, to objectively and effectively identify…
Safety investigation of Pulsatilla chinensis saponins from chronic metabonomic study of serum biomedical changes in oral treated rat
Chinese children's character recognition: Visuo‐orthographic, phonological processing and morphological skills
Tasks tapping visual skills, orthographic knowledge, phonological awareness, speeded naming, morphological awareness and Chinese character recognition were administered to 184 kindergarteners and 273 primary school students from Beijing. Regression analyses indicated that only syllable deletion, morphological construction and speeded number naming were unique correlates of Chinese character recognition in kindergarteners. Among primary school chi…
Phonological awareness in young Chinese children
Two studies explored the nature of phonological awareness (PA) in Chinese. In Study 1, involving 146 children, awareness of phoneme onset did not differ from chance levels at ages 3–5 years in preschool but increased to 70% correct in first grade, when children first received phonological coding (Pinyin) instruction. Similarly, tone awareness was at better than chance levels from second year kindergarten (age 4), but increased strongly and signif…
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Phonological awareness in young Chinese children
Two studies explored the nature of phonological awareness (PA) in Chinese. In Study 1, involving 146 children, awareness of phoneme onset did not differ from chance levels at ages 3–5 years in preschool but increased to 70% correct in first grade, when children first received phonological coding (Pinyin) instruction. Similarly, tone awareness was at better than chance levels from second year kindergarten (age 4), but increased strongly and signif…
Chinese children's character recognition: Visuo‐orthographic, phonological processing and morphological skills
Tasks tapping visual skills, orthographic knowledge, phonological awareness, speeded naming, morphological awareness and Chinese character recognition were administered to 184 kindergarteners and 273 primary school students from Beijing. Regression analyses indicated that only syllable deletion, morphological construction and speeded number naming were unique correlates of Chinese character recognition in kindergarteners. Among primary school chi…
Safety investigation of Pulsatilla chinensis saponins from chronic metabonomic study of serum biomedical changes in oral treated rat
A Hybrid Classification to Detect Abstinent Heroin-Addicted Individuals Using EEG Microstates
Objective: Diagnosis of the severity of heroin addiction with electroencephalography (EEG) signals is a challenging problem. It has been shown that brain microstates are associated with brain status and healthy condition. However, there is no study on how heroin addiction affects brain microstates. Approach: We propose a hybrid classifier based on the microstate features, extracting from resting state EEGs, to objectively and effectively identify…
Indirect Interactions Discovering and True Negative Sampling for Multimodal Recommendation
Multimodal recommendation has become a key technology for social media platforms. It is widely used in content recommendation, user preference analysis, advertisement placement, etc. Existing recommendation methods mainly focus on learning multimodal embeddings from direct interactions between users and items, ignoring indirect interactions among users-to-users and items-to-items. This limits the further exploration of potential interests between…
Evolution of water-carrying capacity and response law of land space pattern in the Three Gorges Reservoir Area
Recycling of crystalline‐silicon photovoltaic modules in China: Policies, technologies and prospects
Sam-Ss: Straightforward and Efficient Designs Based on Segment Anything Model for Semantic Segmentation
Image segmentation is a fundamental task in computer vision and computational social systems, with semantic segmentation aiming to assign each pixel to a corresponding label. Due to the inherent richness of categories and contextual information in images, image segmentation remains a challenging problem. Currently, semantic segmentation models based on the segment anything model have demonstrated promising results. However, they continue to encou…
GILMRec: Graph Invariant Learning for Multimodal Recommendation
Multimodal recommendation is a crucial technology on social media platforms. It is widely applied in scenarios such as product recommendation and advertising delivery. However, existing multimodal recommendation approaches often overlook invariant semantic features that persist across modalities, leading to decreased robustness and generalization. To address this limitation, we propose GILMRec , a novel g raph i nvariant l earning-based m ultimod…
Analysis of the mediating effect of invasive ruminative contemplation on the relationship between social support and non-suicidal self-injury behavior in depressed patients
Social support can influence NSSI behavior in depressed patients by regulating intrusive rumination. It is crucial to emphasize the assessment of intrusive rumination in clinical practice to reduce the occurrence of NSSI behavior
Computer Science (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Chinese characters (2 works) · Cognitive and developmental aspects of mathematical skills (2 works) · Linguistics (2 works) · Literacy (2 works) · Phonological awareness (2 works) · Phonology (2 works) · Pinyin (2 works)