Jun Hu @ Hefei University of Technology
Jun Hu

Full Professor
School of Computer Science and Information Engineering
Hefei University of Technology (HFUT)

Jun Hu is a Full Professor at the School of Computer Science and Information Engineering, Hefei University of Technology. Before joining Hefei University of Technology in 2026, he was a Senior Research Fellow at the National University of Singapore (NUS). His research has long focused on large-scale and efficient graph learning and social multimedia computing. His work has been published in leading international conferences and journals, including ICML, AAAI, ACL, ACM MM, SIGIR, TKDE, and TMM. He maintains close industry collaborations with ByteDance, Grab, and Tencent, which have led to multiple joint publications; some research outcomes have also been applied in real-world business scenarios at ByteDance.

Email: jun.hu@hfut.edu.cn
GitHub: github.com/CrawlScript
Google Scholar: https://scholar.google.com/citations?user=K7fgdO0AAAAJ
HFUT Homepage: http://faculty.hfut.edu.cn/cs_hujun/zh_CN/index.htm

Research interests: social multimedia, large language models for graphs, graph foundation models (GFMs), large-scale graph neural networks (GNNs), multimodal agents.

Open Source: MMClaw (lightweight multimodal agent), tf_geometric (efficient graph learning library), and WebCollector (web crawler framework).

Selected Publications * denotes the sole corresponding author

Scalable & Efficient Graph Learning

Social Multimedia

Open Source Projects
  • MMClaw
    Ultra-lightweight, pure Python multimodal agent.
  • tf_geometric
    Efficient graph learning library for TensorFlow 1.x and 2.x.
  • WebCollector
    Open source web crawler framework based on Java.