Yuquan Lu(陆毓泉)
Incoming Master's Student
Shenzhen University,College of Computer Science and Software Engineering
Incoming Master's Student
Shenzhen University,College of Computer Science and Software Engineering
I am an incoming graduate student at Shenzhen University, where I will be conducting research on edge intelligence under the supervision of Professor QiHua Zhou. My research interests focus on LLM Serving and On-Device Machine Learning, exploring efficient ways to deploy and optimize large language models and machine learning algorithms on resource-constrained edge devices.
During my undergraduate studies at Shanxi University, I developed a strong foundation in Computer Science with a particular emphasis on Data Mining and Machine Learning. This academic background has fostered my passion for deep learning technologies and their real-world applications.
I look forward to contributing to the rapidly evolving field of edge intelligence and exploring innovative solutions that bridge the gap between powerful AI models and their deployment in everyday devices.
Shanxi University
• Built and compared news classification models combining BERT with TextCNN and BiLSTM architectures.
• Evaluated models on THUCNews dataset, analyzing performance differences between Word2vec, BERT, and hybrid approaches.
Shanxi University
• Implemented the CASEE joint learning framework for financial text event extraction.
• Developed a financial text element extraction system using Django.
• Improved extraction accuracy for overlapping events in complex financial scenarios.
📧 Email: yuquanlu01@gmail.com
🏢 Address: YingTan,JangXi
💻 GitHub: github.com/yuquanlu01