Ziyuan Wang- Shanghai University of Finance and Economics
Ziyuan Wang
- Shanghai University of Finance and Economics
About
5
Publications
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Introduction
Focus on text classification and text representation, mainly using textCNN, LSTM, bert and other PLMs(Pretrained Language Models). Nowadays I'm working on the solution to resolve isotropy problems of BERT embedding.
Current institution
Publications
Publications (5)
A new model of utility analysis and performance prediction in crowdfunding is proposed in this paper with considering backer’s behavior-related decision. To establish a connection between the backer’s behavior-related decision and crowdfunding performance, the proposed model includes a modeling analysis and an empirical analysis. The modeling analy...
The introduction of ChatGPT has garnered widespread attention in both academic and industrial communities. ChatGPT is able to respond effectively to a wide range of human questions, providing fluent and comprehensive answers that significantly surpass previous public chatbots in terms of security and usefulness. On one hand, people are curious abou...
Current text classification methods typically encode the text merely into embedding before a naive or complicated classifier, which ignores the suggestive information contained in the label text. As a matter of fact, humans classify documents primarily based on the semantic meaning of the subcategories. We propose a novel model structure via siames...
