Lixian Zhu
Biographic Data
| ID | 7788669 |
|---|---|
| NAME | Lixian Zhu |
| GIVEN NAMES | Lixian |
| FAMILY NAME | Zhu |
| SIGNATURE | ZHU L |
| AFFILIATIONS | Beijing Institute of Technology |
| ORCID | 0000-0002-9842-9993 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Hyper-Parallel Superscalar Asynchronous Risc-V Processor Based on Event-Driven Logic
Event-driven neuromorphic computing involves sparse and asynchronous signal activity, which leads to irregular computation patterns and fine-grained concurrency. As a result, processing architectures need to support both high parallelism and energy efficiency. Among existing architectural solutions, superscalar designs exhibit significant potential for addressing high parallelism demands. However, conventional superscalar processors, which rely o…
Heart–Brain Symbiosis and Neuromodulation
Semantic Disentangling for Audiovisual Induced Emotion
Emotions regulation play an important role in human behavior, but exhibit considerable heterogeneity among individuals, which attenuates the generalization ability of emotion models. In this work, we aim to achieve robust emotion prediction through efficient disentanglement of affective semantic representations. In detail, the data generation mechanism behind observations from different perspectives is causally set, where latent variables that re…
Exploring the Alleviating Effects of taVNS on Negative Emotions
Emotion inhibitory control is a key executive function of the human brain, which regulates behavior by suppressing inappropriate responses. It plays an integral part in alleviating negative emotions, improving mood, and preventing depression. Transcutaneous auricular vagus nerve stimulation (taVNS) has been proved to enhance behavioral control, potentially suppressing negative emotions or facilitating their reduction in healthy individuals. Howev…
Prescription-based health education integrating functional movement screening
Background To explore the effects of three modes of prescription health education teaching and health education combined with physical fitness exercise teaching, as well as conventional physical fitness exercise teaching on the quality of life of college students. Method We employed a quasi-experimental design with 246 participants randomized into three groups: didactic health education plus fitness training, conventional fitness training, and a …
Physiological Electrosignal Asynchronous Acquisition Technology
With great pride and enthusiasm, we present the inaugural edition of IEEE Transactions on Computational Social Systems (TCSS) for 2024. Reflecting on the year gone by, 2023 stands as a hallmark of academic excellence and prolific output, wherein our journal has successfully disseminated a substantial volume of scholarly work—301 articles encompassing approximately 3600 pages, distributed across six distinct issues
Advancements in Affective Disorder Detection
Currently, the integration of artificial intelligence (AI) techniques with multimodal physiological signals represents a pivotal approach to detect affective disorders (ADs). With the increasing complexity and diversity of physiological signal modalities, researchers have introduced various AI methods using multimodal physiological signals to improve model classification performance and explainability to increase trust and facilitate clinical ado…
The relationship between exercise habits and mental health among university students in China
This study provides preliminary causal evidence that exercise habits contribute to the promotion of mental health in university students. These findings offer valuable insights into potential preventive strategies for addressing mental health issues in this population through exercise interventions
Fundamentals of Computational Psychophysiology
Welcome to the second issue of IEEE Transactions on Computational Social Systems (TCSS) in 2022. In this issue, we are going to present 25 regular articles. After the “scanning the issue,” I would like to share some of my opinions and perspectives on the fundamentals of computational psychophysiology: theory and methodology
No prominent works on this page.
Fundamentals of Computational Psychophysiology
Welcome to the second issue of IEEE Transactions on Computational Social Systems (TCSS) in 2022. In this issue, we are going to present 25 regular articles. After the “scanning the issue,” I would like to share some of my opinions and perspectives on the fundamentals of computational psychophysiology: theory and methodology
Physiological Electrosignal Asynchronous Acquisition Technology
With great pride and enthusiasm, we present the inaugural edition of IEEE Transactions on Computational Social Systems (TCSS) for 2024. Reflecting on the year gone by, 2023 stands as a hallmark of academic excellence and prolific output, wherein our journal has successfully disseminated a substantial volume of scholarly work—301 articles encompassing approximately 3600 pages, distributed across six distinct issues
Advancements in Affective Disorder Detection
Currently, the integration of artificial intelligence (AI) techniques with multimodal physiological signals represents a pivotal approach to detect affective disorders (ADs). With the increasing complexity and diversity of physiological signal modalities, researchers have introduced various AI methods using multimodal physiological signals to improve model classification performance and explainability to increase trust and facilitate clinical ado…
The relationship between exercise habits and mental health among university students in China
This study provides preliminary causal evidence that exercise habits contribute to the promotion of mental health in university students. These findings offer valuable insights into potential preventive strategies for addressing mental health issues in this population through exercise interventions
Semantic Disentangling for Audiovisual Induced Emotion
Emotions regulation play an important role in human behavior, but exhibit considerable heterogeneity among individuals, which attenuates the generalization ability of emotion models. In this work, we aim to achieve robust emotion prediction through efficient disentanglement of affective semantic representations. In detail, the data generation mechanism behind observations from different perspectives is causally set, where latent variables that re…
Exploring the Alleviating Effects of taVNS on Negative Emotions
Emotion inhibitory control is a key executive function of the human brain, which regulates behavior by suppressing inappropriate responses. It plays an integral part in alleviating negative emotions, improving mood, and preventing depression. Transcutaneous auricular vagus nerve stimulation (taVNS) has been proved to enhance behavioral control, potentially suppressing negative emotions or facilitating their reduction in healthy individuals. Howev…
Prescription-based health education integrating functional movement screening
Background To explore the effects of three modes of prescription health education teaching and health education combined with physical fitness exercise teaching, as well as conventional physical fitness exercise teaching on the quality of life of college students. Method We employed a quasi-experimental design with 246 participants randomized into three groups: didactic health education plus fitness training, conventional fitness training, and a …
Hyper-Parallel Superscalar Asynchronous Risc-V Processor Based on Event-Driven Logic
Event-driven neuromorphic computing involves sparse and asynchronous signal activity, which leads to irregular computation patterns and fine-grained concurrency. As a result, processing architectures need to support both high parallelism and energy efficiency. Among existing architectural solutions, superscalar designs exhibit significant potential for addressing high parallelism demands. However, conventional superscalar processors, which rely o…
Heart–Brain Symbiosis and Neuromodulation
Psychology (6 works) · Computer Science (5 works) · Artificial Intelligence (3 works) · EEG and Brain-Computer Interfaces (3 works) · Neuroscience (3 works) · Advanced Memory and Neural Computing (2 works) · Asynchronous communication (2 works) · Cognitive psychology (2 works) · Data science (2 works) · Emotion and Mood Recognition (2 works)