Si Shen
Biographic Data
| ID | 3917676 |
|---|---|
| NAME | Si Shen |
| GIVEN NAMES | Si |
| FAMILY NAME | Shen |
| SIGNATURE | SHEN S |
| AFFILIATIONS | Nanjing University of Science and Technology |
| ORCID | 0009-0003-3554-4307 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Emerging Focus in Chinese Literary Study (1927 to 2023)
Literature has vital historical values that reveal the truth of culture, ideology of people, political focus, and human experiences like a series of no-photo films via a combination of flat words. As the carrier of history, literature plays like one decent clerk who recorded the historical presentation of modern China through a proliferation of scholarly articles. This study aims to provide a comprehensive overview of the emerging focus of modern…
XunZi-MLLM
Photocopies of ancient works, as valuable cultural heritage of China, can be digitized through the integration of multimodal large language models (MLLMs). This approach allows for more vivid representations of these historical documents, fostering the preservation and advancement of traditional culture. We propose a MLLM specifically dedicated to the digitization of ancient works photocopies. Specifically, we first use web crawling technology to…
SsciBert
How scientific research incorporates policy
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How scientific research incorporates policy
SsciBert
Emerging Focus in Chinese Literary Study (1927 to 2023)
Literature has vital historical values that reveal the truth of culture, ideology of people, political focus, and human experiences like a series of no-photo films via a combination of flat words. As the carrier of history, literature plays like one decent clerk who recorded the historical presentation of modern China through a proliferation of scholarly articles. This study aims to provide a comprehensive overview of the emerging focus of modern…
XunZi-MLLM
Photocopies of ancient works, as valuable cultural heritage of China, can be digitized through the integration of multimodal large language models (MLLMs). This approach allows for more vivid representations of these historical documents, fostering the preservation and advancement of traditional culture. We propose a MLLM specifically dedicated to the digitization of ancient works photocopies. Specifically, we first use web crawling technology to…
Computer Science (4 works) · Natural language processing (3 works) · Artificial Intelligence (2 works) · Computational and Text Analysis Methods (2 works) · Natural Language Processing Techniques (2 works) · Topic Modeling (2 works) · Advanced Text Analysis Techniques (1 work) · Artificial Intelligence (1 work) · China (1 work) · Citation (1 work)