Ruihong Zeng (曾锐鸿)
@ Guangzhou, China
I am a graduated student from Sun Yat-sen University, where I was fortunate to be supervised by Professor Shangsong Liang. My research primarily focused on Machine Learning on Graphs and Large Language Models (LLMs). Specifically, my work focuses on: (1) Combining Bayesian graphical models with variational inference to enhance graph representation learning. (2) Investigating memory mechanisms in LLM-based agents. (3) Integrating knowledge graphs to improve retrieval-augmented generation (RAG) and LLM performance for knowledge-intensive tasks.
Email / Google Scholar / Github / CV
News
| Jan 23, 2025 | MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media has been accepted to NAACL 2025 as main paper (Oral) ! |
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| Dec 16, 2024 | We have released the paper On the Structural Memory of LLM Agents. |
| Dec 12, 2024 | We have released the paper MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media. |
| Jul 16, 2024 | My first paper Enhancing graph neural networks via memorized global information got accepted in ACM Transactions on the Web. |
Selected publications
* denotes joint first authors
