Fanyu Wang
Fanyu Wang received a Bachelor’s degree from Dalian Maritime University, Dalian, China, and a Master of Engineering degree from Jiangnan University, Wuxi, China.
During his postgraduate research career, he served as a member of the Key Laboratory of Media Design and Software Technology in Jiangsu Province, focusing on interpretable deep learning methods in natural language processing.
Currently, his PhD research thesis focuses on Large Language Models Driven Requirement Engineering.
Publications
- Wang, F. and Xie, Z. Constructing Word-Context-Coupled Space with Associative Knowledge for Interpretable Language Modeling. In Findings of 61th Annual Meeting of the Association for Computational Linguistics.
- Wang, F. and Xie, Z. An Adversarial Multi-Task Learning Method for Chinese Text Correction with Semantic Detection. In 31st International Conference on Artificial Neural Networks, (ICANN2022).Springer. Bristol, England (Oral).
- Wang, F., Shao, H. and Xie, Z. AxBERT: An Explainable Chinese Spelling Correction Method Driven by Associative Knowledge Network. (Under Reviewing, Preprint Version)
- Li, T., Wang, F. (Co-first writer), Zhou, Y. and Xie, Z. Visual illusion cognition dataset construction and recognition performance by deep neural networks. In 8th IEEE International Conference on Cloud Computing and Intelligence System (2022). Chengdu, China (Oral).
- Li, Y., Xie, Z. and Wang, F. An associative knowledge network model for interpretable semantic representation of noun context. Complex Intell. Syst. (2022).
- Li, T., Wang, F. and Xie, Z. Space Topology Change Mostly Attracts Human Attention: An Implicit Feedback VR Driving System. In 30th IEEE Conference on Virtual Reality and 3D User Interfaces Abstract and Workshop (IEEEVRW 2023).