Zheng Jing
Biographic Data
| ID | 8240971 |
|---|---|
| NAME | Zheng Jing |
| GIVEN NAMES | Zheng |
| FAMILY NAME | Jing |
| SIGNATURE | JING Z |
| AFFILIATIONS | Zhejiang University |
| ORCID | 0000-0003-0111-5056 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Glide
In this article, a novel data augmentation method is developed for Meta-Services based on large language models (LLMs) and requirement-functional-logical-physical (RFLP) models, referred to as generative LLM-driven data augmentation (GLIDE), and an application of GLIDE to e-commerce recommendation systems is presented. First, the framework of GLIDE is designed under Meta-Services, including a generalized encoder and decoder architecture, as well …
The relationship between heart rate variability and baseline state anxiety during stress and recovery
Baseline state anxiety, which reflects an individual’s initial anxiety level before stressors, offers an important perspective for understanding how pre-existing anxiety influences responses to subsequent stressors. This study investigated physiological changes in 59 participants grouped by low (n = 32, LbSA group) and high (n = 27, HbSA group) baseline state anxiety levels, measured using the Short State Anxiety Inventory. Participants underwent…
No prominent works on this page.
The relationship between heart rate variability and baseline state anxiety during stress and recovery
Baseline state anxiety, which reflects an individual’s initial anxiety level before stressors, offers an important perspective for understanding how pre-existing anxiety influences responses to subsequent stressors. This study investigated physiological changes in 59 participants grouped by low (n = 32, LbSA group) and high (n = 27, HbSA group) baseline state anxiety levels, measured using the Short State Anxiety Inventory. Participants underwent…
Glide
In this article, a novel data augmentation method is developed for Meta-Services based on large language models (LLMs) and requirement-functional-logical-physical (RFLP) models, referred to as generative LLM-driven data augmentation (GLIDE), and an application of GLIDE to e-commerce recommendation systems is presented. First, the framework of GLIDE is designed under Meta-Services, including a generalized encoder and decoder architecture, as well …
Anxiety (1 work) · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 work) · Baseline (sea (1 work) · Cloud Computing and Resource Management (1 work) · Data modeling (1 work) · Generative grammar (1 work) · Generative model (1 work) · Heart rate (1 work) · Heart rate variability (1 work) · Heart Rate Variability and Autonomic Control (1 work)