Published several preprints, such as 'Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey', 'MyGO: Discrete Modality Information as Fine-Grained Tokens for Multi-modal Knowledge Graph Completion', etc., and presented papers at NLPCC 2024, ACM MM 2024, ACL 2024 Findings, etc.
Research Experience
Conducting doctoral research at ZJUKG-Lab, focusing on knowledge graphs and multi-modal learning.
Education
Ph.D. student in Computer Science at Zhejiang University since 2020, supervised by Prof. Huajun Chen.
Background
Research interests include knowledge graphs (KGs) and large language models. Current research focuses on knowledge-driven LLMs and knowledge-driven multi-modal learning, aiming to mitigate biases and hallucinations in models caused by the long-tail distribution of natural data corpora.
Miscellany
Contact: zhuo.chen@zju.edu.cn; Personal website includes links to Google Scholar, DBLP, GitHub, and Twitter.