Welcome to SimonChen’s HomePage
Southeast University, Ph.D candidate.
SOME INTERESTING THINGS
Specialize in NLP, GNN, DL, ML, Data Mining, Interpretability, BlockChain.
The ultimate goal of my research is to use mathematics to understand biological neural networks. My research have two stages: The first is to explore the relationship between the connection pattern of the deep learning model and biological neurons; The second is to use mathematics to explain the deep learning in order to make it interpretable. Besides, i am a reviewer of top conference: EMNLP2021, EMNLP2022, EACL2023, ICAIS2020.
- 2022：Jie Chen, Jiabao Xu, X Xuefeng, VS Sheng, C Zhiming. Interpreting Randomly Wired Graph Models for Chinese NER, CMES.
- 2022：刘杭, 殷歆, 陈杰, 罗恒. 基于模型融合的多维时间序列预测,计算机工程(北大核心, CSCD).
- 2021: Jie Chen, X Xuefeng, VS Sheng, C Zhiming. Randomly Wired Graph Neural Network for Chinese NER， IEEE/ACM Transactions on Audio, Speech and Language Processing, SCI- Q1.
- 2022: JiaBao Xu, X Xuefeng, Jie Chen, VS Sheng, C Zhiming. Development and Application of Electronic Health Records Based on Deep Learning. Applied Sciences. SCI-Q2.
- 2021: ZhaiYuan Cai, Jie Chen, X Xuefeng, VS Sheng, C Zhiming. Relational Semantic Entity Recognition of Electronic Medical Record. 苏州科技大学学报 (自然科学版), 2021.
- 2020: Jie Chen, X Xuefeng, P Zhou, VS Sheng, C Zhiming. ALBERT-based Named Entity Recognition of Chinese Medical Records (Journal of Nanjing Normal University.
- 2021: Internship in Huawei Inc. to develop deep learning framework – MindSpore. (Undergoing)
- 2021: Work with Dr.Zheng on Textual Description for Visualization. (Undergoing)
- 2019: Develop a Business Intelligence System based on Redash
- 2019: Work with Hikvision and Tencent to develop Police Traffic Face Recognition System for SuZhou City
- 2020: Responsible for the VUE-based front end in the Dust Management System
Tec Blog：CSDN, my blog has over 434k views