A5015381707- Structural Health Monitoring Techniques
- Machine Fault Diagnosis Techniques
- Topic Modeling
- Computational and Text Analysis Methods
- Complex Network Analysis Techniques
- Railway Engineering and Dynamics
- Ultrasonics and Acoustic Wave Propagation
- Advanced Text Analysis Techniques
- Expert finding and Q&A systems
Harbin Institute of Technology
2020-2023
Ministry of Industry and Information Technology
2020-2023
Shenzhen Institute of Information Technology
2020-2022
Time–frequency analysis is an essential subject in nonlinear and non-stationary signal processing structural health monitoring, which can give a clear illustration of the variation trend time-varying parameters. Thus, it plays significant role such as data analysis, damage detection. Adaptive sparse time–frequency recently developed method used to estimate instantaneous frequency, achieve high-resolution adaptivity by looking for sparsest representation within largest possible dictionary....
Recently, short texts become very popular in social life. To understand texts, researchers develop topic models to extract information. However, conventional mainly focus on long documents which cannot deal with the sparsity problem of text. In this paper, we propose a novel model for text called GPU-BTM, incorporates Generalized Pólya Urn technique into Biterm Topic Model. GPU-BTM utilizes similarity information and co-occurrence pattern words simultaneously handle problem. Specifically,...
Short text topic modeling attracts many researchers' attention with the emergence of online social media platforms, such as news websites, Twitter and Facebook. Existing models for short texts mainly focus on relieving sparse problem to enhance accuracy performance modeling. However, most previous approaches introduce external corpus word embeddings enrich global semantic information in process, ignoring local association target corpus. And provided by embedding may not be entirely suitable...