A5023815884- Topic Modeling
- Natural Language Processing Techniques
- Marine and fisheries research
- Corporate Finance and Governance
- Marine Bivalve and Aquaculture Studies
- Fish Ecology and Management Studies
- Optical Network Technologies
- Fish Biology and Ecology Studies
- Advanced Photonic Communication Systems
- Mathematical and Theoretical Epidemiology and Ecology Models
- Diverse Aspects of Tourism Research
- Cultural Heritage Management and Preservation
- Stock Market Forecasting Methods
- COVID-19 epidemiological studies
- Religious Tourism and Spaces
- Evolution and Genetic Dynamics
- Complex Systems and Time Series Analysis
- Family Business Performance and Succession
- Differential Equations and Numerical Methods
- Nuclear and radioactivity studies
- Land Use and Ecosystem Services
- Speech and dialogue systems
- Nonlinear Differential Equations Analysis
- Recreation, Leisure, Wilderness Management
- Defense, Military, and Policy Studies
RIKEN Center for Advanced Intelligence Project
2023
Mongolia International University
2023
Huawei Technologies (Sweden)
2021-2022
University of Electronic Science and Technology of China
2006-2022
Fujian Normal University
2022
Tianjin Medical University Cancer Institute and Hospital
2021
Huawei Technologies (China)
2021
Ocean University of China
1995-2020
China University of Geosciences
2020
First Affiliated Hospital of Nanchang University
2019
The reconstruction of seismic data with missing traces has been a long-standing issue in processing. Deep learning (DL) emerged as popular tool for interpolation; it learns priors from training sets incomplete/complete pairs. However, these DL methods are restricted to because they supervised. When the features testing and different, recovery performance decreases, which prevents practical application. We have introduced “deep-seismic-prior-based” approach via convolution neural network...
Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong. Proceedings of the 60th Annual Meeting Association for Computational Linguistics (Volume 1: Long Papers). 2022.
Cervical cancer is one of the commonest causes cancer-related deaths worldwide. The prevalence rate cervical in Uyghur women Xinjiang Autonomous Region China has been remarkably higher than ethnic groups living same region. This study aimed to assess knowledge level and attitude its issues among province China. A cross-sectional interview-based survey 5,000 was developed from 2013 2014 autonomous region, their perception issues. collection data based on questionnaire items. According items,...
Chromatic dispersion-enhanced signal-signal beating interference (SSBI) considerably affects the performance of intensity-modulation and direct-detection (IM/DD) fiber transmission systems. For recovering optical fields from received double sideband signals after propagating through IM/DD systems, Gerchberg-Saxton (G-S) iterative algorithms are promising, which, however, suffers slow convergence speeds local optimization problems. In this paper, we propose a multi-constraint algorithm (MCIA)...
Recently, there has been a trend to investigate the factual knowledge captured by Pre-trained Language Models (PLMs). Many works show PLMs' ability fill in missing words cloze-style prompts such as "Dante was born [MASK]." However, it is still mystery how PLMs generate results correctly: relying on effective clues or shortcut patterns? We try answer this question causal-inspired analysis that quantitatively measures and evaluates word-level patterns depend words. check have three typical...
Cancer-related cognitive impairment (CRCI) is a prevalent comorbidity among breast cancer survivors, yet evidence supporting the efficacy of adaptive training remains limited. This pilot study seeks to examine participants' adherence and preliminary effect tablet-based as an intervention for CRCI apply eye tracking technology innovative approach evaluate outcomes. Fifty-two eligible participants were randomly assigned either biofeedback therapy group (BF) or combined (BF + COG). Participants...
Community residents have a strong stake in local heritage site and may be an important force its conservation, management development. Positive relationships between the community can promote protection. A questionnaire survey was conducted with of Bogda World Natural Heritage, Xinjiang, China, to assess their perceptions towards attitudes participation conservation. The made positive contributions conservation resource past several years. However, because asymmetry responsibility for...
In this study, we analyzed the temporal-spatial variations of characteristics land use change in central Asia over past two decades. This was conducted using four indicators (change rate, equilibrium extent, dynamic index, and transfer direction) a multi-scale correlation analysis method, which explained impact recent environmental transformations on changes. The results indicated that integrated degree increased by 2.2% from 1995 to 2015. areas cropland, water bodies, artificial increased,...
Evapotranspiration is one of the critical processes in terrestrial hydrological cycle, and assessment evapotranspiration essential for understanding regional cycle. In this study, Minjiang River Basin, a typical watershed humid subtropical climate zone, selected as study region. The Penman-Monteith equation dual crop coefficient method are used to calculate actual (ETa) at seven meteorological stations within basin. Meanwhile, applicability Global Land Data Assimilation System-Noah...
Bogda Nature Reserve is a World Heritage Site (WHS) in Xinjiang, China. Potential conflicts between community development and heritage conservation are important topics to study may have an impact on the sustainable of sites. In this study, we conducted survey with residents examine major potential arising from local residents’ perceptions regarding policy its interventions. The results indicated that supports development, but they expressed negative attitudes towards their present living...