Shuguo Hu

I am a Ph.D. student in a joint program between the Shenzhen Loop Area Institute (SLAI) and Harbin Institute of Technology (Shenzhen). At SLAI, I am advised by Prof. Jun Yu and Prof. Weishi Zheng. I am especially grateful to Prof. Jun Yu for the opportunity to collaborate with Prof. Weishi Zheng. At HIT Shenzhen, I am supervised by Prof. Jing Li. Previously, I worked as a research assistant with Prof. Jing Ma at Hong Kong Baptist University from 2025 to 2026. I received my master's degree in Software Engineering from Inner Mongolia University in 2026 under the supervision of Prof. Huaiwen Zhang. Before that, I received my bachelor's degree from Jilin University in 2021.

My current research focuses on Embodied AI and World Models. Previously, I worked on time-series analysis and social media analysis. I also build and maintain open-source projects, which have collectively received 1.5k GitHub stars. My goal is to promote the development of social productive forces.

Email X RedNote GitHub Scholar

Let’s Talk: Interested in Embodied AI or World Models? Feel free to reach out for a coffee chat ☕ in Shenzhen or online . Together, let’s learn, grow, and advance technology to help people work and live better.

News

• 09/2026 Awesome-Time-Series-Papers reached 1.1k+ GitHub stars.
• 09/2026 I was invited to the Xiaomi Top Campus Recruitment Technical Salon.
• 07/2026 Haoleme reached 100+ GitHub stars.
• 06/2026 I was invited to the AliStar Candidates Academic Day.
• 04/2026 One paper accepted by ICASSP 2026, Oral.
• 04/2026 I was named an Outstanding Graduate.
• 10/2025 I got the National Scholarship.
• 08/2025 One paper accepted by EMNLP 2025, Oral.
• 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 RAG-on-Graphs reached 100+ GitHub stars.
• 12/2024 One paper accepted by Photoacoustics.
• 12/2024 One paper accepted by ICASSP 2025.

Selected Publications

Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection
Shuguo Hu, Jun Hu, Huaiwen Zhang
ACL 2025 Main 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.

Overview of the EarlyMix hierarchical mixing framework

EarlyMix: Hierarchical Mixing for Early Time Series Classification
Shuguo Hu, Jun Hu, Junwei Lv, Huaiwen Zhang
ICME 2025
paper / code

EarlyMix uses hierarchical mixing in both the sample and latent spaces to enrich incomplete time-series prefixes. This produces more informative and robust representations for earlier, more accurate classification.

Cross-domain rumor detection pipeline from the T2ARD paper

Cross-domain Rumor Detection via Test-Time Adaptation and Large Language Models
Yuxia Gong, Shuguo Hu, Huaiwen Zhang
EMNLP 2025 Main Conference, Oral
paper / PDF

T²ARD combines multi-level self-supervised graph adaptation with LLM-generated pseudo-labels to improve cross-domain rumor detection. It achieves state-of-the-art performance across four widely used cross-domain datasets.

Open-Source Projects

Awesome-Time-Series-Papers
TSCenter — Open-source repository
GitHub / stars (1,143)

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.

Haoleme
HaolemeApp — Open-source Android app
GitHub / PyPI / ReadNote / stars (158)

Haoleme is an Android app for monitoring long-running commands on your computer or servers from your phone. Launch tasks with the hao CLI to stream real-time output, device status, and completion notifications to your mobile device.

RAG-on-Graphs (RGL)
PyRGL — Open-source Python toolkit
GitHub / stars (111)

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

• Program Committee Member, CIKM 2026 Workshops.
• Co-chair, ICLR 2026 @ AITIME, April 2026.
• Session Chair, ICLR 2025 and ICML 2025 @ AITIME.
• Conference Reviewer for ICLR 2027, ARR 2026, IJCAI 2026, ICASSP 2025 and 2027, ICME 2025–2026, ACM MM Asia 2025, and IJCNN 2027.
• Journal Reviewer for Knowledge-Based Systems (KBS).
• Invited Speaker, ACL 2025 @ AITIME.

Honors & Awards

• 2026 Outstanding Graduate, Inner Mongolia University (Top 4%).
• 2025 National Scholarship for Master's Students (RANK: 1/83, Top 1%).
• 2025 Graduate Academic Scholarship (Rank 1).
• 2023–2024 Graduate Academic Scholarship (Top 1/3).
• 2023 Research and Innovation Project.

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