Peiying’s Recital

In order to present the results of my studies, to reach my career goal and to spread Chinese culture through my music, my final project is to have a recital where I present my original compositions with Chinese culture elements.https://remix.berklee.edu/graduate-studies-global-jazz/1016/thumbnail.jp

A Novel Kernel for Text Classification Based on Semantic and Statistical Information

In text categorization, a document is usually represented by a vector space model which can accomplish the classification task, but the model cannot deal with Chinese synonyms and polysemy phenomenon. This paper presents a novel approach which takes into account both the semantic and statistical information to improve the accuracy of text classification. The proposed approach computes semantic information based on HowNet and statistical information based on a kernel function with class-based weighting. According to our experimental results, the proposed approach could achieve state-of-the-art or competitive results as compared with traditional approaches such as the k-Nearest Neighbor (KNN), the Naive Bayes and deep learning models like convolutional networks

The Antecedents and Consequences of Crowdfunding Investors’ Citizenship Behaviors – an Empirical Research on Motivations and Stickiness

This study investigates the antecedents (internal and external motivations) and consequences (stickiness intentions) of crowdfunding investors’ citizenship behavior. In addition, this study examines the moderating effects of investors’ perceived project novelty on the relationships between motivations and citizenship behavior. Based on a sample of 226 crowdfunding investors, results indicate that internal and external motivations significantly influence investors’ citizenship behavior, which further affect investors’ stickiness intentions. Furthermore, results show that investors’ perceived project novelty moderates the relationships between internal/ external motivation and citizenship behavior

The microstructure characteristic of cohesive soil in inner shelf of the East China Sea and its engineering implication

389-396In this paper, the microstructure images and parameters of the cohesive soil were obtained via scanning electron microscope testing technology and computer image processing technology. The physical-mechanical indexes of cohesive soil was obtained through geotechnical testing. The macro physical-mechanical indexes and microstructure parameters of cohesive soil in the inner shelf of the East China Sea were analysed by the regression analysis method; and the multiple regression equations between water content, liquid limit, compressibility coefficient, vane shear strength, micro-penetration resistance, medium diameter and the microstructure parameters were established. The results show that cohesive soils in the inner shelf of the East China Sea have three types of microstructure: Granular link-bond structure, flocculent link-bond structure and clay particle matrix structure. The physical indexes of cohesive soil mainly related to the microstructure parameters characterizing the size and number of pores, while the mechanical indexes, besides the size and number, also affected by the geometry of pores. Usually, the rounder the pore is and the more complicated the profile curve of pore is, the higher is the strength of cohesive soil. The results can provide theoretical reference for in-depth understanding the engineering properties of cohesive soil in the inner shelf of the East China Sea