Gang Xiong
Biographic Data
| ID | 8388163 |
|---|---|
| NAME | Gang Xiong |
| GIVEN NAMES | Gang |
| FAMILY NAME | Xiong |
| SIGNATURE | XIONG G |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0002-4601-0277 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Enhancing nuclear medicine residency standardization training
CONTEXT: In universities outside China, particularly in Western countries, flipped classrooms and case-based learning have been used to address drawbacks of traditional teaching. Yet, in China, these models are still under exploration. AIM: To investigate the preliminary outcomes and implementation challenges of implementing the flipped classroom combined with CBL teaching model. METHODS: The study was conducted at the Department of Nuclear Medic…
Enlarge the Error Prediction Dataset in 3-D Printing
The quality of the dataset is critical to the performance of neural networks for error prediction in 3-D printing. In order to enlarge the dataset, we propose a customized two-stage framework, cascaded cross-modality generative adversarial networks (CCMGANs), for generating dental crown meshes in an unsupervised manner. At the first stage, a displacement map-guided generative adversarial network (GAN) is used to generate coarse meshes with divers…
Geometry-Guided Neural Implicit Surface Reconstruction
Multiview 3-D reconstruction holds considerable promise across a wide applications in social manufacturing. Conducting in-depth research on precise and robust multiview 3-D reconstruction holds the potential to significantly empower the domain of social manufacturing. Recently, there has been a burgeoning interest in the domain of neural implicit surfaces learning through volume rendering for the purpose of multiview reconstruction without 3-D su…
An Urban Trajectory Data-Driven Approach for Covid-19 Simulation
The coronavirus disease 2019 (COVID-19) pandemic has changed the world deeply. Urban trajectory big data collected by wireless sensing devices provide great assistance for COVID-19 prevention. However, except for contact tracing, trajectory data are rarely employed in other preventative scenarios against the pandemic. In this article, we try to extend the application of trajectories auto-collected by wireless sensing devices and simulate the epid…
Asynchronous Threshold ECDSA With Batch Processing
Threshold Elliptic Curve Digital Signature Algorithm (ECDSA) has attracted a lot of attention due to the wide applications of ECDSA in crypto asset. Although several variants of threshold signature protocols can provide functions, such as key generation and signing, they suffer from two shortfalls. First, these schemes only discuss a single signature computation task in a synchronous algorithm context, which is difficult to adapt to real crypto-a…
A Dual Neural Network for Defect Detection With Highly Imbalanced Data in 3-D Printing
Digital light processing (DLP) is a popular additive manufacturing technology that uses light irradiation to fabricate 3-D devices via a projector to achieve laser-sensitive resin curing. However, the performance and reliability of DLP can be affected by internal defects such as printing errors and the accumulation of residual stress. Existing defect detection methods rely on monitoring the printed parts, which leads to resource wastage and strug…
Physics-Driven Data Collection in 3-D Printing
Additive manufacturing (AM), also called 3-D printing, is a supporting technology in social manufacturing that has gained significant attention recently. As the AM industry grows, collecting and analyzing data are essential to ensure product quality, process efficiency, and cost-effectiveness. However, obtaining experimental data is challenging owing to cost and time constraints. Therefore, cost-effective and time-efficient strategies for collect…
TrajSGAN
Simulating human mobility contributes to city behavior discovery and decision-making. Although the sequence-based and image-based approaches have made impressive achievements, they still suffer from respective deficiencies such as omitting the depiction of spatial properties or ordinal dependency in trajectory. In this article, we take advantage of the above two paradigms and propose a semantic-guiding adversarial network (TrajSGAN) for generatin…
A Survey on Social Manufacturing
The intelligent manufacturing is a complex engineering system, and the cyber–physical systems (CPSs) and the industrial Internet are the preliminary infrastructures. When cyber–physical–social systems (CPSSs) are formed by extending CPS into the social aspect, Societies 5.0 era is coming. In the Societies 5.0 era, social manufacturing (SM) is an innovative manufacturing solution for intelligent manufacturing. In this article, a survey on SM is in…
A Kind of Change Management Method for Global Value Chain Optimization and Its Case Study
Any successful change in an organization requires an appropriate change management method and a process for involved staff and department to accept the change and become engaged in order to achieve its success. It is even more important and difficult to adopt a novel change management method to bring multiple organizations across the business value chain into the change implementation. This research does not focused on change management within a …
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A Kind of Change Management Method for Global Value Chain Optimization and Its Case Study
Any successful change in an organization requires an appropriate change management method and a process for involved staff and department to accept the change and become engaged in order to achieve its success. It is even more important and difficult to adopt a novel change management method to bring multiple organizations across the business value chain into the change implementation. This research does not focused on change management within a …
A Survey on Social Manufacturing
The intelligent manufacturing is a complex engineering system, and the cyber–physical systems (CPSs) and the industrial Internet are the preliminary infrastructures. When cyber–physical–social systems (CPSSs) are formed by extending CPS into the social aspect, Societies 5.0 era is coming. In the Societies 5.0 era, social manufacturing (SM) is an innovative manufacturing solution for intelligent manufacturing. In this article, a survey on SM is in…
Enlarge the Error Prediction Dataset in 3-D Printing
The quality of the dataset is critical to the performance of neural networks for error prediction in 3-D printing. In order to enlarge the dataset, we propose a customized two-stage framework, cascaded cross-modality generative adversarial networks (CCMGANs), for generating dental crown meshes in an unsupervised manner. At the first stage, a displacement map-guided generative adversarial network (GAN) is used to generate coarse meshes with divers…
Geometry-Guided Neural Implicit Surface Reconstruction
Multiview 3-D reconstruction holds considerable promise across a wide applications in social manufacturing. Conducting in-depth research on precise and robust multiview 3-D reconstruction holds the potential to significantly empower the domain of social manufacturing. Recently, there has been a burgeoning interest in the domain of neural implicit surfaces learning through volume rendering for the purpose of multiview reconstruction without 3-D su…
An Urban Trajectory Data-Driven Approach for Covid-19 Simulation
The coronavirus disease 2019 (COVID-19) pandemic has changed the world deeply. Urban trajectory big data collected by wireless sensing devices provide great assistance for COVID-19 prevention. However, except for contact tracing, trajectory data are rarely employed in other preventative scenarios against the pandemic. In this article, we try to extend the application of trajectories auto-collected by wireless sensing devices and simulate the epid…
Asynchronous Threshold ECDSA With Batch Processing
Threshold Elliptic Curve Digital Signature Algorithm (ECDSA) has attracted a lot of attention due to the wide applications of ECDSA in crypto asset. Although several variants of threshold signature protocols can provide functions, such as key generation and signing, they suffer from two shortfalls. First, these schemes only discuss a single signature computation task in a synchronous algorithm context, which is difficult to adapt to real crypto-a…
A Dual Neural Network for Defect Detection With Highly Imbalanced Data in 3-D Printing
Digital light processing (DLP) is a popular additive manufacturing technology that uses light irradiation to fabricate 3-D devices via a projector to achieve laser-sensitive resin curing. However, the performance and reliability of DLP can be affected by internal defects such as printing errors and the accumulation of residual stress. Existing defect detection methods rely on monitoring the printed parts, which leads to resource wastage and strug…
Physics-Driven Data Collection in 3-D Printing
Additive manufacturing (AM), also called 3-D printing, is a supporting technology in social manufacturing that has gained significant attention recently. As the AM industry grows, collecting and analyzing data are essential to ensure product quality, process efficiency, and cost-effectiveness. However, obtaining experimental data is challenging owing to cost and time constraints. Therefore, cost-effective and time-efficient strategies for collect…
TrajSGAN
Simulating human mobility contributes to city behavior discovery and decision-making. Although the sequence-based and image-based approaches have made impressive achievements, they still suffer from respective deficiencies such as omitting the depiction of spatial properties or ordinal dependency in trajectory. In this article, we take advantage of the above two paradigms and propose a semantic-guiding adversarial network (TrajSGAN) for generatin…
Enhancing nuclear medicine residency standardization training
CONTEXT: In universities outside China, particularly in Western countries, flipped classrooms and case-based learning have been used to address drawbacks of traditional teaching. Yet, in China, these models are still under exploration. AIM: To investigate the preliminary outcomes and implementation challenges of implementing the flipped classroom combined with CBL teaching model. METHODS: The study was conducted at the Department of Nuclear Medic…
Computer Science (9 works) · Artificial Intelligence (4 works) · Algorithm (3 works) · Computer security (3 works) · Engineering (3 works) · Artificial neural network (2 works) · Business (2 works) · Data mining (2 works) · Human Mobility and Location-Based Analysis (2 works) · Manufacturing Process and Optimization (2 works)