Chitin Hon
Biographic Data
| ID | 4465118 |
|---|---|
| NAME | Chitin Hon |
| GIVEN NAMES | Chitin |
| FAMILY NAME | Hon |
| SIGNATURE | HON C |
| AFFILIATIONS | Macau University of Science and Technology |
| VERIFIED | No |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
FaXNet
Background: Accurate and interpretable influenza forecasting is critical for public health preparedness, yet many models struggle to capture multi-scale temporal dynamics and to provide reliable uncertainty estimates. These challenges are particularly pronounced in China, where influenza seasonality differs between northern temperate and southern subtropical regions. Methods: We propose FaXNet, a frequency-adaptive, explainable, and uncertainty-a…
LSTCNet
Background Seasonal influenza poses a significant public health burden, particularly in China, where regional outbreaks vary widely and timely surveillance is constrained by reporting delays. While traditional surveillance systems rely on virological data, population-level internet search behavior has emerged as a complementary signal for early epidemic detection. Objective This study aims to develop a hybrid deep learning model, LSTCNet, that in…
A Canonical correlation analysis on the relation of environmental, social, governance (ESG) on business environment (paying taxes) in South China
Growing concerns about sustainability have led investors and regulators to require more initiative and disclosures around Environmental, Social, and Governance (ESG). While numerous studies have been conducted on corporate performance and ESG, not much is known about these regulations and disclosures' impact on the broader business environment. The research objective of this study was to better understand the relationships between ESG and the bus…
Public Opinion Evolution in Cyberspace
The dynamics of public opinion on social media affects people’s feeling and minds about international affairs and leads to the reconstruction of societal states for international conflicts. In this article, we analyze the topics’ evolution on social media during the Pelosi visit. Such kind of analysis should help the related departments sense and beware the situation effectively and efficiently, and may provide technical supports for proper polic…
Knowledge Graph-Based Reinforcement Federated Learning for Chinese Question and Answering
Knowledge question and answering (Q&A) is widely used. However, most existing semantic parsing methods in Q&A usually use cascading, which can incur error accumulation. In addition, using only one institution’s Q&A data definitely will limit the Q&A performance, while data privacy prevents sharing between institutions. This article proposes a knowledge graph-based reinforcement federated learning (KGRFL)-based Q&A approach to address these challe…
Daily fluctuations in Covid-19 infection rates under Tokyo’s epidemic prevention measures – new evidence from adaptive Fourier decomposition
Background The COVID-19 pandemic has witnessed widespread infections and variants. Particularly, Tokyo faced the challenge of seven waves of COVID-19, during which government interventions played a pivotal role. Therefore, gaining a comprehensive understanding of government control measures is of paramount importance, which is beneficial for health authorities in the policy development process. Method Our study analysis the daily change data of t…
Temporary impact on medical system and effectiveness of mitigation strategies after Covid-19 policy adjustment in China
Background: As China amends its "zero COVID" strategy, a sudden increase in the number of infections may overwhelm medical resources and its impact has not been quantified. Specific mitigation strategies are needed to minimize disruption to the healthcare system and to prepare for the next possible epidemic in advance. Method: We develop a stochastic compartmental model to project the burden on the medical system (that is, the number of fever cli…
How fast and how well the Omicron epidemic was curtailed. A Guangzhou experience to share
Introduction: SARS-CoV-2 has ravaged the world and undergone multiple mutations during the course of the COVID-19 pandemic. On 7 April 2022, an epidemic caused by SARS-CoV-2 Omicron (BA.2) variant broke out in Guangzhou, China, one of the largest transportation and logistical hubs of the country. Methods: To fast curtained the Omicron epidemic, based on the routine surveillance on the risk population of SARS-CoV-2 infection, we identify key place…
No prominent works on this page.
How fast and how well the Omicron epidemic was curtailed. A Guangzhou experience to share
Introduction: SARS-CoV-2 has ravaged the world and undergone multiple mutations during the course of the COVID-19 pandemic. On 7 April 2022, an epidemic caused by SARS-CoV-2 Omicron (BA.2) variant broke out in Guangzhou, China, one of the largest transportation and logistical hubs of the country. Methods: To fast curtained the Omicron epidemic, based on the routine surveillance on the risk population of SARS-CoV-2 infection, we identify key place…
Daily fluctuations in Covid-19 infection rates under Tokyo’s epidemic prevention measures – new evidence from adaptive Fourier decomposition
Background The COVID-19 pandemic has witnessed widespread infections and variants. Particularly, Tokyo faced the challenge of seven waves of COVID-19, during which government interventions played a pivotal role. Therefore, gaining a comprehensive understanding of government control measures is of paramount importance, which is beneficial for health authorities in the policy development process. Method Our study analysis the daily change data of t…
Temporary impact on medical system and effectiveness of mitigation strategies after Covid-19 policy adjustment in China
Background: As China amends its "zero COVID" strategy, a sudden increase in the number of infections may overwhelm medical resources and its impact has not been quantified. Specific mitigation strategies are needed to minimize disruption to the healthcare system and to prepare for the next possible epidemic in advance. Method: We develop a stochastic compartmental model to project the burden on the medical system (that is, the number of fever cli…
Public Opinion Evolution in Cyberspace
The dynamics of public opinion on social media affects people’s feeling and minds about international affairs and leads to the reconstruction of societal states for international conflicts. In this article, we analyze the topics’ evolution on social media during the Pelosi visit. Such kind of analysis should help the related departments sense and beware the situation effectively and efficiently, and may provide technical supports for proper polic…
Knowledge Graph-Based Reinforcement Federated Learning for Chinese Question and Answering
Knowledge question and answering (Q&A) is widely used. However, most existing semantic parsing methods in Q&A usually use cascading, which can incur error accumulation. In addition, using only one institution’s Q&A data definitely will limit the Q&A performance, while data privacy prevents sharing between institutions. This article proposes a knowledge graph-based reinforcement federated learning (KGRFL)-based Q&A approach to address these challe…
A Canonical correlation analysis on the relation of environmental, social, governance (ESG) on business environment (paying taxes) in South China
Growing concerns about sustainability have led investors and regulators to require more initiative and disclosures around Environmental, Social, and Governance (ESG). While numerous studies have been conducted on corporate performance and ESG, not much is known about these regulations and disclosures' impact on the broader business environment. The research objective of this study was to better understand the relationships between ESG and the bus…
FaXNet
Background: Accurate and interpretable influenza forecasting is critical for public health preparedness, yet many models struggle to capture multi-scale temporal dynamics and to provide reliable uncertainty estimates. These challenges are particularly pronounced in China, where influenza seasonality differs between northern temperate and southern subtropical regions. Methods: We propose FaXNet, a frequency-adaptive, explainable, and uncertainty-a…
LSTCNet
Background Seasonal influenza poses a significant public health burden, particularly in China, where regional outbreaks vary widely and timely surveillance is constrained by reporting delays. While traditional surveillance systems rely on virological data, population-level internet search behavior has emerged as a complementary signal for early epidemic detection. Objective This study aims to develop a hybrid deep learning model, LSTCNet, that in…
Computer Science (3 works) · COVID-19 epidemiological studies (3 works) · Disease (3 works) · Medicine (3 works) · Pandemic (3 works) · Artificial Intelligence (2 works) · Data-Driven Disease Surveillance (2 works) · Environmental health (2 works) · Graph (2 works) · Internal Medicine (2 works)