Qingyan Wang
Biographic Data
| ID | 8073104 |
|---|---|
| NAME | Qingyan Wang |
| GIVEN NAMES | Qingyan |
| FAMILY NAME | Wang |
| SIGNATURE | WANG Q |
| AFFILIATIONS | Department of International Exchange and Cooperation, Third Xiangya Hospital Central South University Changsha Hunan China |
| ORCID | 0000-0003-4201-1843 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Evidentially Driven Uncertainty Decomposition for Weakly Supervised Point Cloud Semantic Segmentation
Point cloud semantic segmentation is a core component in indoor scene understanding and autonomous driving. Under weak point-level supervision, only a small subset of points is annotated, making effective use of unlabeled points critical yet non-trivial. Many existing approaches rely on prediction confidence to filter pseudo labels or enforce consistency, which can bias training toward easy points and amplify early mistakes. Consequently, confide…
Dual Consequences of Reclamation
Reclamation activities have dramatically altered the biogeochemical cycling of nitrogen (N) and carbon (C) in estuarine and coastal wetlands. However, how reclamation affects sediment ammonia oxidation processes mediated by ammonia‐oxidizing archaea (AOA) and bacteria (AOB), and associated nitrous oxide (N 2 O) production remains unclear. Here, different potential ammonia oxidation rates (PAR), N 2 O production rates, associated functional gene a…
Identifying Spatial Determinants of Rice Yields in Main Producing Areas of China Using Geospatial Machine Learning
Rice yield is essential to global food security under increasingly frequent and severe climate change events. Spatial analysis of rice yields becomes more critical for regional action to ensure yields and reduce climate impacts. However, the understanding of the spatially varied geographical, climate, soil, and environmental factors of rice yields needs to be improved, leading to potentially biased local rice yield prediction and responses to cli…
Characteristics and optimization strategies of multi-subject governance network structure for land consolidation
Coding the negative emotions of family members and patients among the high‐risk preoperative conversations with the Chinese version of VR‐CoDES
BACKGROUND: Little is known about family members' and patients' expression of negative emotions among high-risk preoperative conversations. OBJECTIVES: This study aimed to identify the occurrence and patterns of the negative emotions of family members and patients in preoperative conversations, to investigate the conversation themes and to explore the correlation between the negative emotions and the conversation themes. METHODS: Test was used to…
Coding the negative emotions of family members and patients among the high‐risk preoperative conversations with the Chinese version of VR‐CoDES
BACKGROUND: Little is known about family members' and patients' expression of negative emotions among high-risk preoperative conversations. OBJECTIVES: This study aimed to identify the occurrence and patterns of the negative emotions of family members and patients in preoperative conversations, to investigate the conversation themes and to explore the correlation between the negative emotions and the conversation themes. METHODS: Test was used to…
Identifying Spatial Determinants of Rice Yields in Main Producing Areas of China Using Geospatial Machine Learning
Rice yield is essential to global food security under increasingly frequent and severe climate change events. Spatial analysis of rice yields becomes more critical for regional action to ensure yields and reduce climate impacts. However, the understanding of the spatially varied geographical, climate, soil, and environmental factors of rice yields needs to be improved, leading to potentially biased local rice yield prediction and responses to cli…
Characteristics and optimization strategies of multi-subject governance network structure for land consolidation
Evidentially Driven Uncertainty Decomposition for Weakly Supervised Point Cloud Semantic Segmentation
Point cloud semantic segmentation is a core component in indoor scene understanding and autonomous driving. Under weak point-level supervision, only a small subset of points is annotated, making effective use of unlabeled points critical yet non-trivial. Many existing approaches rely on prediction confidence to filter pseudo labels or enforce consistency, which can bias training toward easy points and amplify early mistakes. Consequently, confide…
Dual Consequences of Reclamation
Reclamation activities have dramatically altered the biogeochemical cycling of nitrogen (N) and carbon (C) in estuarine and coastal wetlands. However, how reclamation affects sediment ammonia oxidation processes mediated by ammonia‐oxidizing archaea (AOA) and bacteria (AOB), and associated nitrous oxide (N 2 O) production remains unclear. Here, different potential ammonia oxidation rates (PAR), N 2 O production rates, associated functional gene a…
Computer Science (3 works) · 3D Shape Modeling and Analysis (1 work) · 3D Surveying and Cultural Heritage (1 work) · Agricultural engineering (1 work) · Archaeology (1 work) · Biogeochemical cycle (1 work) · Business (1 work) · Cartography (1 work) · China (1 work) · China's Socioeconomic Reforms and Governance (1 work)