A5055393039- Neurological disorders and treatments
- Neuroscience and Neural Engineering
- EEG and Brain-Computer Interfaces
- Topic Modeling
- Text and Document Classification Technologies
- Parkinson's Disease Mechanisms and Treatments
- Image Retrieval and Classification Techniques
- Vagus Nerve Stimulation Research
- Advanced Text Analysis Techniques
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Handwritten Text Recognition Techniques
- Complex Network Analysis Techniques
- Natural Language Processing Techniques
- Web Data Mining and Analysis
- Heart Rate Variability and Autonomic Control
- Muscle activation and electromyography studies
- Transcranial Magnetic Stimulation Studies
- Neural Networks and Applications
- Wireless Power Transfer Systems
- Epilepsy research and treatment
- Wireless Body Area Networks
- Semantic Web and Ontologies
- Biomedical Text Mining and Ontologies
- Sleep and Wakefulness Research
Shanghai Zhangjiang Laboratory
2024
Shanghai Jiao Tong University
2024
University Town of Shenzhen
2024
Tsinghua University
2015-2024
Chinese Academy of Sciences
1997-2024
Shanghai Advanced Research Institute
2023-2024
Beijing Solar Energy Research Institute
2024
University of Chinese Academy of Sciences
2023
Ministry of Natural Resources
2023
Qingdao Institute of Marine Geology
2023
Relation classification is an important semantic processing task in the field of natural language (NLP). State-ofthe-art systems still rely on lexical resources such as WordNet or NLP like dependency parser and named entity recognizers (NER) to get high-level features. Another challenge that information can appear at any position sentence. To tackle these problems, we propose Attention-Based Bidirectional Long Short-Term Memory Networks(AttBLSTM) capture most a The experimental results...
Text detection in natural scene images is an important prerequisite for many content-based image analysis tasks. In this paper, we propose accurate and robust method detecting texts images. A fast effective pruning algorithm designed to extract Maximally Stable Extremal Regions (MSERs) as character candidates using the strategy of minimizing regularized variations. Character are grouped into text by single-link clustering algorithm, where distance weights threshold learned automatically a...
Text detection in natural scene images is an important prerequisite for many content-based image analysis tasks, while most current research efforts only focus on horizontal or near text. In this paper, first we present a unified distance metric learning framework adaptive hierarchical clustering, which can simultaneously learn similarity weights (to adaptively combine different feature similarities) and the clustering threshold automatically determine number of clusters). Then, propose...
Peng Wang, Jiaming Xu, Bo Chenglin Liu, Heng Zhang, Fangyuan Hongwei Hao. Proceedings of the 53rd Annual Meeting Association for Computational Linguistics and 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). 2015.
Short text clustering has become an increasing important task with the popularity of social media, and it is a challenging problem due to its sparseness representation.In this paper, we propose Text Clustering via Convolutional neural networks (abbr.to STCC), which more beneficial for by considering one constraint on learned features through self-taught learning framework without using any external tags/labels.First, embed original keyword into compact binary codes localitypreserving...
Abstract The antisolvent‐assisted spin‐coating still lags behind the thermal evaporation method in fabricating perovskite films atop industrially textured silicon wafers making monolithic perovskite/silicon solar cells (P/S‐TSCs). inhomogeneity of hole‐selective self‐assembled monolayers (SAMs) often arises from insufficient bonding between hygroscopic phosphonic acid anchors and metal oxide. To address this, a mixed‐SAM strategy (Mx‐SAM) is proposed to enhance adsorption energy SAMs on ITO...
Video text extraction plays an important role for multimedia understanding and retrieval. Most previous research efforts are conducted within individual frames. A few of recent methods, which pay attention to tracking using multiple frames, however, do not effectively mine the relations among detection, recognition. In this paper, we propose a generic Bayesian-based framework Tracking based Text Detection And Recognition (T DAR) from web videos embedded captions, is composed three major...
Probiotics are considered to be a potential treatment for ulcerative colitis (UC). The aim of this study was compare the preventive effect space flight-induced mutant L. reuteri F-9-35 and its wild type on UC in vivo. Female mice were randomly assigned five groups: one normal four colitic. Mice from groups daily gavaged with 0.2 mL 12% (w/v) skim milk containing or (1 × 1011 CFU/mL), alone distilled water whole experiment period, starting 7 days before induction. induced by administrating...
Deep brain stimulation (DBS) holds great promise in treating various diseases but its chronic therapeutic mechanisms are unclear.To explore the immediate and effects of DBS on oscillations, understand how different sub-bands oscillations may be related to symptom improvement Parkinson's patients.We carried out a longitudinal study examine local field potentials recorded by sensing-enabled neurostimulators subthalamic nuclei patients, using novel block-design paradigm.DBS significantly...
Summary Objective To assess heart‐rate variability ( HRV ) measures of interictal electrocardiography ECG for drug‐resistant epilepsy and to relate the findings outcome vagus nerve stimulation VNS treatment. Methods Time‐domain, frequency‐domain, nonlinear analyses were used analyze preoperative in 32 patients with who had received implants at same hospital healthy age‐ sex‐matched control subjects. measurements based on ambulatory 24 h recordings analyzed identify seizure reduction 1 year...
Deep brain stimulation (DBS) is an established treatment for patients with Parkinson's disease (PD). Sleep disorders are common complications of PD and affected by subthalamic DBS treatment. To achieve more precise neuromodulation, chronicsleepmonitoringand closed-loop toward sleep–wake cycles could potentially be utilized. Local field potential (LFP) signals that sensed the electrode processed as primary feedback signals. This first study to systematically investigate sleep-stage...
This paper presents a signal processing method for the electrophysiology simultaneously recorded during deep brain stimulation (DBS) as research tool. Regarding local field potential (LFP) signals stimulation, novel was proposed removal of artifacts caused by much stronger stimulating pulse compared to typical LFP. artifact suppression tested and evaluated in an vitro situation. The results indicate that are well suppressed this method. Secondly, vivo Parkinson's disease (PD) patients. It...
Abstract Vagus nerve stimulation (VNS) is an adjunctive treatment for drug-resistant epilepsy (DRE). However, it still difficult to predict which patients will respond VNS and what extent. We aim explore the relationship between preoperative heart rate variability (HRV) outcome. 50 healthy control subjects 63 DRE who had received implants at least one year of follow up were included. The HRV analyzed by traditional linear methods rhythm complexity analyses with multiscale entropy (MSE)....
Background Sleep fragmentation is a persistent problem throughout the course of Parkinson’s disease (PD). However, related neurophysiological patterns and underlying mechanisms remained unclear. Method We recorded subthalamic nucleus (STN) local field potentials (LFPs) using deep brain stimulation (DBS) with real-time wireless recording capacity from 13 patients PD undergoing one-night polysomnography recording, 1 month after DBS surgery before initial programming when were off-medication....