2024.09 — 2027.06
(Expected)
(Expected)
M.S. in Artificial Intelligence, BUPT
School of Artificial Intelligence · Research on 3D reconstruction and semantic 3D Gaussians at PRIS Lab.
Zaiyan Yang 杨再俨
M.S. Student in Artificial Intelligence
PRIS Lab, School of Artificial Intelligence
Beijing University of Posts and Telecommunications (BUPT)
About
I am particularly interested in large language models and natural language processing, which I have explored through research projects and industry internships.
My academic research at PRIS Lab also covers 3D reconstruction and semantic 3D Gaussians, with the goal of connecting explicit 3D scene modeling with high-level semantic understanding.
Education
2020.09 — 2024.06
B.Eng. in Intelligence Science and Technology, BUPT
School of Artificial Intelligence · Coursework and projects in AI, machine learning, natural language processing, and computer science.
Publications
† Equal contribution · * Corresponding author
DialogueINAB: An Interaction Neural Network Based on Attitudes and Behaviors of Interlocutors for Dialogue Emotion Recognition
LLaMA-LoRA Neural Prompt Engineering: A Deep Tuning Framework for Automatically Generating Chinese Text Logical Reasoning Thinking Chains
CLSTM-SNP: Convolutional Neural Network to Enhance Spiking Neural P Systems for Named Entity Recognition Based on Long Short-Term Memory Network
