Cheng Su
Biographic Data
| ID | 7068229 |
|---|---|
| NAME | Cheng Su |
| GIVEN NAMES | Cheng |
| FAMILY NAME | Su |
| SIGNATURE | SU C |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0002-8646-2155 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Beyond quantity
While the quantity of underground commercial facilities has been extensively studied for urban development, their economic performance, a critical indicator of sustainability, remains underexplored. This deficiency risks economically unsustainable development and wasted underground space resources. To bridge this gap, this paper developed a novel evaluation framework that leveraged openly accessible social media data (Dazhong Dianping) to assess …
An investigation into the spatial distribution patterns and influencing factors of fortresses in Tianshui, Gansu Province, China
The interaction between globalization and localization profoundly influences the evolution of cultural landscapes, and the protection of local traditional culture serves as the foundation for cultural diversity and confidence. Tianshui fortresses, as typical folk defensive settlements, embody unique landscape and geographical features, reflecting distinct local cultural characteristics. This research adopts various methods, including field invest…
Geospatial Analytics of Urban Bus Network Evolution Based on Multi-Source Spatiotemporal Data Fusion
Bus networks are a crucial support for urban commuting. By studying the evolutionary characteristics of bus networks, we can uncover their development patterns, coverage efficiency, and changes in regional balance, providing a scientific basis for sustainable urban development and the optimization of transportation resources. This study systematically analyzes the spatiotemporal evolution characteristics of the bus network in Beijing from 2006 to…
Nav-Yolo
Precise object detection is fundamental to robust indoor navigation and localization. However, the practical deployment of deep learning-based detectors on mobile platforms is frequently impeded by their extensive parameter counts, substantial computational overhead, and prolonged inference latency, rendering them impractical for real-time and GPU-independent applications. To overcome these limitations, this paper presents Nav-YOLO, a highly opti…
Multi-Size Facility Allocation Under Competition
In modern urban planning, the problem of bank location requires not only considering geographical factors but also integrating competitive elements to optimize resource allocation and enhance market competitiveness. This study addresses the multi-size bank location problem by incorporating competitive factors into the optimization process through a novel reinforcement learning-enhanced genetic algorithm (RL-GA) framework. Building upon an attract…
Follow-up of the manganese-exposed workers healthy cohort (MEWHC) and biobank management from 2011 to 2017 in China
The MEWHC study in China provides an effective way to obtain biological samples such as plasma, DNA, hair and urine for storage in a biobank for further study. The standardized management of various samples is crucial for accessing high-quality biospecimens
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Follow-up of the manganese-exposed workers healthy cohort (MEWHC) and biobank management from 2011 to 2017 in China
The MEWHC study in China provides an effective way to obtain biological samples such as plasma, DNA, hair and urine for storage in a biobank for further study. The standardized management of various samples is crucial for accessing high-quality biospecimens
An investigation into the spatial distribution patterns and influencing factors of fortresses in Tianshui, Gansu Province, China
The interaction between globalization and localization profoundly influences the evolution of cultural landscapes, and the protection of local traditional culture serves as the foundation for cultural diversity and confidence. Tianshui fortresses, as typical folk defensive settlements, embody unique landscape and geographical features, reflecting distinct local cultural characteristics. This research adopts various methods, including field invest…
Geospatial Analytics of Urban Bus Network Evolution Based on Multi-Source Spatiotemporal Data Fusion
Bus networks are a crucial support for urban commuting. By studying the evolutionary characteristics of bus networks, we can uncover their development patterns, coverage efficiency, and changes in regional balance, providing a scientific basis for sustainable urban development and the optimization of transportation resources. This study systematically analyzes the spatiotemporal evolution characteristics of the bus network in Beijing from 2006 to…
Nav-Yolo
Precise object detection is fundamental to robust indoor navigation and localization. However, the practical deployment of deep learning-based detectors on mobile platforms is frequently impeded by their extensive parameter counts, substantial computational overhead, and prolonged inference latency, rendering them impractical for real-time and GPU-independent applications. To overcome these limitations, this paper presents Nav-YOLO, a highly opti…
Multi-Size Facility Allocation Under Competition
In modern urban planning, the problem of bank location requires not only considering geographical factors but also integrating competitive elements to optimize resource allocation and enhance market competitiveness. This study addresses the multi-size bank location problem by incorporating competitive factors into the optimization process through a novel reinforcement learning-enhanced genetic algorithm (RL-GA) framework. Building upon an attract…
Beyond quantity
While the quantity of underground commercial facilities has been extensively studied for urban development, their economic performance, a critical indicator of sustainability, remains underexplored. This deficiency risks economically unsustainable development and wasted underground space resources. To bridge this gap, this paper developed a novel evaluation framework that leveraged openly accessible social media data (Dazhong Dianping) to assess …
China (3 works) · Geography (2 works) · Software deployment (2 works) · Transportation Planning and Optimization (2 works) · Advanced Image and Video Retrieval Techniques (1 work) · Advanced Neural Network Applications (1 work) · Air Quality and Health Impacts (1 work) · Analytics (1 work) · Archaeology (1 work) · Beijing (1 work)