Shuguo Hu (胡树国)

I worked as a Research Assistant under the supervision of Prof. Jing Ma from 2025. Currently, I am a third-year Master student at IMU Logo Inner Mongolia University in 2026, supervised by Prof. Huaiwen Zhang. Before that, I received my Bechelor's degree from JLU Logo JiLin University in 2021.

My current research interests primarily revolve around Social Media Analytics and LLMs. I am particularly interested in developing robust and reliable security solutions within this area. My previous research interest was time series.

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News

• 04/2026 I was awarded the Outstanding Graduate.
• 02/2026 I received 900+ stars for my time series repository on GitHub.
• 10/2025 I got the National Scholarship.
• 08/2025 One paper accepted by EMNLP 2025.
• 05/2025 One paper accepted by ACL 2025.
• 03/2025 I got a Research and Innovation Project.
• 03/2025 One paper accepted by ICME 2025.
• 03/2025 I received 100+ stars for my RAG-on-Graphs on GitHub.
• 12/2024 One paper accepted by Photoacoustics.
• 12/2024 One paper accepted by ICASSP 2025.

Selected Publications
Figure 1 of GLPN-LLM paper Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection
Shuguo Hu, Jun Hu, Huaiwen Zhang
ACL 2025 Long Paper
arXiv / code

GLPN-LLM combines LLM-generated pseudo labels with a global label propagation mechanism for multimodal fake news detection. By propagating reliable label information across text-image news samples, it strengthens detection performance on benchmark social media datasets.

Open Source Projects
Awesome-Time-Series-Papers preview Awesome-Time-Series-Papers
TSCenter. Open-source repository
GitHub / stars

Awesome-Time-Series-Papers is a curated repository of recent time series papers and code from top AI venues. It helps readers quickly follow new work across forecasting, anomaly detection, classification, and time-series foundation models.
RAG-on-Graphs preview RAG-on-Graphs (RGL)
PyRGL. Open-source Python toolkit
GitHub / stars

RAG-on-Graphs is a Python toolkit for retrieval-augmented generation on graph-structured data. It is designed to connect large language models with graph reasoning, graph retrieval, and practical downstream knowledge applications.

Professional Services

• Co-chair, ICLR 2026 @ AITIME, April 2026.
• Session Chair, ICLR 2025 and ICML 2025 @ AITIME.
• Conference Reviewer for IJCAI 2026, ICASSP 2025, ICME 2025-2026, and ACM MM Asia 2025.
• Journal Reviewer for Knowledge-Based Systems (KBS).
• Invited Speaker, ACL 2025 @ AITIME.

Thanks Jon Barron and Yixuan Li for sharing the source code of this website template.