Zhihan Lv
Biographic Data
| ID | 6762703 |
|---|---|
| NAME | Zhihan Lv |
| GIVEN NAMES | Zhihan |
| FAMILY NAME | Lv |
| SIGNATURE | LV Z |
| AFFILIATIONS | Uppsala University |
| ORCID | 0000-0003-2525-3074 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 12 |
| WORKS AS EDITOR | 1 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Graph Attention Network With Collaborative Learning for Conversational Emotion Recognition
Emotion recognition in conversations (ERC), a typical cyber-physical-social system (CPSS) application, is becoming increasingly popular in smart homes. Nowadays, many studies have developed algorithms for this purpose. However, they face two main challenges, i.e., not considering relevance in graph feature fusion and under utilizing relationships between dialogues. To address this, we propose a framework using graph attention network with collabo…
Do Sentence-Level Sentiment Interactions Matter? Sentiment Mixed Heterogeneous Network for Fake News Detection
With the proliferation of fake news, the spread of misleading information can easily cause social panic and group polarization. Many existing methods for detecting fake news rely on linguistic and semantic features extracted from the content of the news. Some existing approaches focus on sentiment analysis for fake news detection, but the sentiment changes and sentence-level emotional interactions in news classification are not fully analyzed. Fo…
Fake News in Virtual Community, Virtual Society, and Metaverse
In the trend of the accelerated progression of communication network technology, the emergence of virtual communities (VCs), virtual societies (VSs), metaverse, and other technologies not only makes data access and sharing easier but also leads to the proliferation of fake news (FN). To effectively monitor and identify FN in VC, VS, and metaverse, and to create a safer virtual space, this work takes FN in VC, VS, and metaverse as objects. First, …
Behavioral Modeling and Prediction in Social Perception and Computing
More data are generated through interaction between cyber space, physical space, and social space thanks to mobile network technology, giving birth to the so-called cyber–physical social intelligent ecosystem (C&P-SIE). This survey studies the development of physical social intelligence. First, it classifies and discusses the behavior modeling, learning, and adaptation applications of C&P-SIE from intelligent transportation, healthcare, public se…
Low carbon technology for carbon neutrality in sustainable cities
Cognitive Computing for Brain–Computer Interface-Based Computational Social Digital Twins Systems
To accurately and effectively analyze electroencephalogram (EEG) with high complexity, large amount of data, and strong uncertainty, brain–computer interface (BCI) cognitive computing and its signal analysis algorithms are studied based on the digital twins (DTs) cognitive computing platform. To avoid the influence of noise on EEG analysis results, it is necessary to use filtering and defalsification methods to process EEG. Four methods, includin…
Application of effective water-energy management based on digital twins technology in sustainable cities construction
MeetDurian
The COVID-19 problem has not gone away with the passing of the seasons. Although most countries have achieved remarkable results in fighting against epidemic diseases and controlling viruses, the general public is still far from understanding the new crown virus and lack imagination on its transmission law. Location-based games (LBGs) have been challenged during the on-going pandemic. No research has shown that LBGs can be used to help prevent CO…
Research on the inheritance and protection of folk art and culture from the perspective of network cultural governance
In the age of network, network culture is gestated, and the emergence of security issues makes the governance of network culture put on the agenda. In order to explore ways to protect and inherit folk art and culture, This article mainly uses the mathematical model established by the principal component analysis method and the multiple regression method to analyze the current folk arts such as the lack of professional talents and other problems f…
Advanced Machine Learning on Cognitive Computing for Human Behavior Analysis
With the increasing size of data, massive amounts of data are being generated continuously. It is hoped to find a cognitive computing technology that can effectively learn and process large-scale data. The decision tree algorithm is optimized from the perspective of machine learning. A cognitive computing model based on context-aware data flow is constructed. Classification and regression tree (CART) algorithm is used in the data computing layer …
A polymorphic heterogeneous security architecture for edge-enabled smart grids
Applying machine learning in intelligent sewage treatment
Measuring the homogeneity of urban fabric using 2D geometry data
To preserve the urban fabric or characteristics in specific quarters, there is often a need to either strengthen or lessen the homogeneity of the urban fabric when inserting new buildings. Evaluating the form of urban fabric is fundamentally important for urban design practice and relevant policy making. However, the quantitative methods and attempts are rare due to the lack of available methods. To address this deficiency, this article presents …
No prominent works on this page.
Measuring the homogeneity of urban fabric using 2D geometry data
To preserve the urban fabric or characteristics in specific quarters, there is often a need to either strengthen or lessen the homogeneity of the urban fabric when inserting new buildings. Evaluating the form of urban fabric is fundamentally important for urban design practice and relevant policy making. However, the quantitative methods and attempts are rare due to the lack of available methods. To address this deficiency, this article presents …
Research on the inheritance and protection of folk art and culture from the perspective of network cultural governance
In the age of network, network culture is gestated, and the emergence of security issues makes the governance of network culture put on the agenda. In order to explore ways to protect and inherit folk art and culture, This article mainly uses the mathematical model established by the principal component analysis method and the multiple regression method to analyze the current folk arts such as the lack of professional talents and other problems f…
Advanced Machine Learning on Cognitive Computing for Human Behavior Analysis
With the increasing size of data, massive amounts of data are being generated continuously. It is hoped to find a cognitive computing technology that can effectively learn and process large-scale data. The decision tree algorithm is optimized from the perspective of machine learning. A cognitive computing model based on context-aware data flow is constructed. Classification and regression tree (CART) algorithm is used in the data computing layer …
A polymorphic heterogeneous security architecture for edge-enabled smart grids
Applying machine learning in intelligent sewage treatment
Cognitive Computing for Brain–Computer Interface-Based Computational Social Digital Twins Systems
To accurately and effectively analyze electroencephalogram (EEG) with high complexity, large amount of data, and strong uncertainty, brain–computer interface (BCI) cognitive computing and its signal analysis algorithms are studied based on the digital twins (DTs) cognitive computing platform. To avoid the influence of noise on EEG analysis results, it is necessary to use filtering and defalsification methods to process EEG. Four methods, includin…
Application of effective water-energy management based on digital twins technology in sustainable cities construction
MeetDurian
The COVID-19 problem has not gone away with the passing of the seasons. Although most countries have achieved remarkable results in fighting against epidemic diseases and controlling viruses, the general public is still far from understanding the new crown virus and lack imagination on its transmission law. Location-based games (LBGs) have been challenged during the on-going pandemic. No research has shown that LBGs can be used to help prevent CO…
Behavioral Modeling and Prediction in Social Perception and Computing
More data are generated through interaction between cyber space, physical space, and social space thanks to mobile network technology, giving birth to the so-called cyber–physical social intelligent ecosystem (C&P-SIE). This survey studies the development of physical social intelligence. First, it classifies and discusses the behavior modeling, learning, and adaptation applications of C&P-SIE from intelligent transportation, healthcare, public se…
Low carbon technology for carbon neutrality in sustainable cities
Do Sentence-Level Sentiment Interactions Matter? Sentiment Mixed Heterogeneous Network for Fake News Detection
With the proliferation of fake news, the spread of misleading information can easily cause social panic and group polarization. Many existing methods for detecting fake news rely on linguistic and semantic features extracted from the content of the news. Some existing approaches focus on sentiment analysis for fake news detection, but the sentiment changes and sentence-level emotional interactions in news classification are not fully analyzed. Fo…
Fake News in Virtual Community, Virtual Society, and Metaverse
In the trend of the accelerated progression of communication network technology, the emergence of virtual communities (VCs), virtual societies (VSs), metaverse, and other technologies not only makes data access and sharing easier but also leads to the proliferation of fake news (FN). To effectively monitor and identify FN in VC, VS, and metaverse, and to create a safer virtual space, this work takes FN in VC, VS, and metaverse as objects. First, …
Graph Attention Network With Collaborative Learning for Conversational Emotion Recognition
Emotion recognition in conversations (ERC), a typical cyber-physical-social system (CPSS) application, is becoming increasingly popular in smart homes. Nowadays, many studies have developed algorithms for this purpose. However, they face two main challenges, i.e., not considering relevance in graph feature fusion and under utilizing relationships between dialogues. To address this, we propose a framework using graph attention network with collabo…
Computer Science (12 works) · Artificial Intelligence (6 works) · Engineering (3 works) · Environmental Science (3 works) · Human–computer interaction (3 works) · Mathematics (3 works) · Computer security (2 works) · Cyberspace (2 works) · Data mining (2 works) · Data science (2 works)