A5100688235- Neuroscience and Music Perception
- Functional Brain Connectivity Studies
- Soft Robotics and Applications
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Robot Manipulation and Learning
- Recommender Systems and Techniques
- Neural dynamics and brain function
- Neural and Behavioral Psychology Studies
- EEG and Brain-Computer Interfaces
- Image Retrieval and Classification Techniques
- Teleoperation and Haptic Systems
- Advanced Neuroimaging Techniques and Applications
- Surgical Simulation and Training
- Child and Adolescent Psychosocial and Emotional Development
- Vehicular Ad Hoc Networks (VANETs)
- Music Therapy and Health
- Infrared Target Detection Methodologies
- Mental Health Research Topics
- Advanced Surface Polishing Techniques
- Smart Grid and Power Systems
- Minimally Invasive Surgical Techniques
- Diverse Music Education Insights
- AI in cancer detection
- Forensic Anthropology and Bioarchaeology Studies
- Tailings Management and Properties
Shanghai Jiao Tong University
2016-2024
Shanghai Mental Health Center
2021-2024
State Key Laboratory of Mechanical System and Vibration
2021-2024
Shaanxi Normal University
2024
Systems Engineering Society of China
2024
Jiangnan University
2023
Hunan University of Finance and Economics
2023
Commercial Aircraft Corporation of China (China)
2023
Shanghai Hospital Development Center
2023
Renji Hospital
2023
Factorization Machine (FM) is an effective solution for context-aware recommender systems (CARS) which models second-order feature interactions by inner product. However, it insufficient to capture high-order and nonlinear interaction signals. While several recent efforts have enhanced FM with neural networks, they assume the embedding dimensions are independent from each other model in a rather implicit manner. In this paper, we propose Convolutional (CFM) address above limitations....
Sequential recommendation as an emerging topic has attracted increasing attention due to its important practical significance. Models based on deep learning and mechanism have achieved good performance in sequential recommendation. Recently, the generative models Variational Autoencoder (VAE) shown unique advantage collaborative filtering. In particular, VAE model a recurrent version of can effectively capture temporal dependencies among items user sequence perform However, VAE-based suffer...
How to efficiently tag the emotional experience of multimedia contents is an important and challenging problem in field affective computing. This paper presents EEG-based real-time emotion tagging approach, by extracting inter-brain features from a group participants when they watch same video clips. First, continuous subjective reports on both arousal valence dimensions were obtained employing three-round behavioral rating paradigm. Second, systematically explored spectral temporal domain....
Previous neuroimaging studies have identified various brain regions that are activated by music listening or recall. However, little is known about how these represent the time course and temporal features of during Here we analyzed neural activity in different associated with recall using electrocorticography recordings obtained from 10 epilepsy patients both genders implanted subdural electrodes. Electrocorticography signals were recorded while subjects to familiar instrumental recalling...
Significance The human voice contains information about a speaker's identity and emotional state. How the brain processes remains largely unknown. We recorded electrocorticographic signals from intracranial electrodes implanted in epilepsy patients while they listened to different categories of nonvoice sounds. identified several spatially distinct “voice patches” temporal lobe that exhibited preferences for voices. Further analyses suggested patches are functionally connected, form...
Despite the popularity of multiplayer online battle arena (MOBA) games, academic research on MOBA is still very limited. The current study aimed to fill this gap by exploring behavioral and neural correlates expertise for most popular game, League Legends (LOL). Three groups LOL players with different levels were recruited, including professional players, background-matched trainees, age-matched students no systematic trainings. A series tests questionnaires was used evaluate their general...
Tonal working memory (WM) refers to the maintenance and online manipulation of tonal information has been suggested involve different mechanisms than verbal WM. Previous research that WM performance is determined by duration instead number materials. We investigated in present study what degree notes a sequence influence participants with or without professional musical training. The forward discrimination task Experiment 1 tested backward N-back 2 probed running span information. Results...
Blockchain and edge computing have been widely applied in video streaming systems. However, previous works lack a joint consideration of redundancy full utilization resources (bandwidth resources, CPU frequency), resulting suboptimal performance In this paper, we propose offloading framework for blockchain-enabled systems to fully exploit reduce energy consumption. Specifically, formulate offloading, resource allocation, adaptive compression as optimization problem. We transform decompose...
The human auditory cortex is recently found to contribute the frequency following response (FFR) and cortical component has been shown be more relevant speech perception. However, it not clear how FFR may processing of fundamental (F0) dynamic pitch. Using intracranial EEG recordings, we observed a significant at for both speech-like harmonic complex stimuli in cortex, even missing condition. Both spectral amplitude phase coherence showed preference, attenuated from primary surrounding...
Anxiety induction is widely used in the investigations of mechanism and treatment state anxiety. State anxiety accompanied by immediate psychological physiological responses. However, existing measurement, such as commonly subscale State-Trait Inventory, mainly relies on questionnaires with low temporal resolution. This study aims to develop a tracking model high To capture dynamic changes levels, we induced participants' through exposure aversive pictures or risk electric shocks...
Abstract Continuum robots have attracted lots of attention due to their structural compliance, manipulation dexterity, and design compactness. To extend the application scenarios, a slender continuum robot, CurviPicker, was developed for low-load medium-speed pick-and-place tasks in previous study. improve payload capacity positioning accuracy novel Delta Robot (CDR) then proposed with three dual-continuum-joint translators preliminary investigation. However, initial version CDR did not...
Underwater unmanned vehicles are important carriers for conducting ocean exploration activities, and surface vessels the main detection objects underwater to conduct exploration. This article takes ships as research object, based on basic radiation theory in physical optics, summarizes analyzes current status of ship detection, thermodynamic models, studies modeling simulation methods infrared characteristics themselves; Based environmental marine environment, reflected by environment were...
Background Neuroimaging techniques provide rich and accurate measures of brain structure function, have become one the most popular methods in mental health neuroscience research. Rapidly growing neuroimaging research generates massive amounts data, bringing new challenges data collection, large-scale management, efficient computing requirements mining analyses. Aims To tackle promote application technology clinical practice, we developed an integrated cloud (INCloud). INCloud provides a...
Abstract In this study, we proposed a fast line-structured light stripe center extraction algorithm based on an improved barycenter to address the problem that conventional strip cannot meet requirements of structured 3D measurement system in terms speed and accuracy. First, performs pretreatment image obtains approximate position through skeleton extraction. Next, normal direction each pixel is solved using gray gradient method. Then, weighted gravity method used solve coordinates along...
Objective The COVID-19 pandemic has raised concerns about child and adolescent mental health issues, such as self-harm. impact of society-wide isolation on self-harming behaviors among adolescents in China is unclear. In addition, different ages sexes have varying abilities to cope with environmental changes. However, these differences are rarely considered self-harm studies. We aimed characterize the age- sex-dependent effects COVID-19-related East China. Methods collected 63,877 medical...
In response to the escalating global challenge of increasing emissions and pollution in transportation, shared electric mobility services, encompassing e-cars, e-bikes, e-scooters, have emerged as a popular strategy. However, existingshared services exhibit critical design deficiencies, including insufficient service integration, imprecise energy consumption forecasting, limited scalability geographical coverage, notable absence user-centric perspective, particularly context multi-modal...
The integration of local elements into shape contours is critical for target detection and identification in cluttered scenes. Previous studies have shown that observers can learn to use image regularities contour identification. However, we still know little about the generalization perceptual learning integration. Specifically, whether training task could transfer untrained type, path or orientation unclear. In a series four experiments, human was studied using psychophysical methods. We...