Xiaorui Ma is a Master’s candidate in ​Chinese Philology​ at Shandong University, specializing in modern Chinese grammatical structures and computational linguistics. She earned her Bachelor’s degree in ​Chinese Language and Literature​ from Ocean University of China, where she developed foundational expertise in semantic modeling and textual analysis. Her current research integrates corpus linguistics with machine learning techniques to investigate syntactic patterns and aspectual systems in Mandarin Chinese. With a strong interdisciplinary focus, Miss Ma explores the application of neural networks and vector space models to automate semantic relationship recognition in classical and modern Chinese texts. Her academic work bridges traditional philological methodologies with cutting-edge computational approaches, aiming to advance data-driven linguistic studies. She has contributed to collaborative projects involving linguistic knowledge graph development and multi-agent information exchange systems.

Hongchao Liu is an Associate Professor and Doctoral Supervisor at the School of Literature, Shandong University. He earned his Ph.D. in 2018 after completing academic training at Peking University, the National University of Singapore, and the Hong Kong Polytechnic University. Joining Shandong University in 2018 as a postdoctoral researcher, he was promoted to Master's Supervisor in 2021, Associate Professor in 2022, and Doctoral Supervisor in 2024. Specializing in modern Chinese syntax and computational linguistics, Dr Liu has led multiple national and provincial research projects, including a National Social Science Foundation project on "Interaction Between Chinese Situation Types and Aspect Markers Based on Linguistic Knowledge Graph Big-Data Verification" and a military–industrial collaboration on multi-agent cooperative information exchange. His academic contributions include two monographs published by Shandong University Press in 2022, focusing on construction-based knowledge repository development and neural network-driven research of Chinese aspectual systems. Dr. Liu's interdisciplinary work bridges theoretical linguistics with artificial intelligence methodologies, particularly neural networks and vector space modeling, to advance automated semantic analysis in Chinese language studies.