Welcome to my homepage! I am a third-year Ph.D. candidate in the Machine Learning Group of the Department of Computer Science at Technische Universität Berlin, Germany, supervised by Prof. Klaus-Robert Müller and Prof. Jürgen Kurths. In parallel, I am a doctoral researcher at the Potsdam Institute for Climate Impact Research (PIK), working on the project “Explainable AI for Dynamic Stability Assessment” under the guidance of Dr. Frank Hellmann.
My research is situated at the intersection of artificial intelligence, graph theory, and data mining, with a particular emphasis on graph-structured data. Current topics include:
- Graph Representation Learning (GRL) problems, such as node classification, link prediction, and graph classification.
- Generative models for graphs, e.g., diffusion models for GRL.
- AI for scientific problems, including the dynamic stability prediction in complex networks, and the pattern mining of extreme climate events.
Please feel free to contact me if you are interested in any collaboration.
🔥 News
- 10.2025: 🎉🎉 One paper on AI for power grids was accepted to IEEE TKDE!
- 05.2025: 🎉🎉 One paper on graph representation learning was accepted to ICML 2025!
- 04.2025: I have officially joined the ‘Explainable AI for Dynamic Stability Assessment’ project at PIK!
- 05.2024: 🎉🎉 One paper on graph-based fake news detection was accepted to KDD 2024!
📝 Selected Publications
SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning
Junyou Zhu, Langzhou He, Chao Gao, Zhen Su, Philip S. Yu, Jurgen Kurths, Frank Hellmann
In Proceedings of the 42nd International Conference on Machine Learning. (ICML 2025)
Propagation Structure-Aware Graph Transformer for Robust and Interpretable Fake News Detection
Junyou Zhu, Chao Gao, Ze Yin, Xianghua Li, Juergen Kurths
In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD 2024)
A Novel Representation Learning For Dynamic Graphs Based On Graph Convolutional Networks
Chao Gao, Junyou Zhu, Fan Zhang, Zhen Wang, Xuelong Li
IEEE Transactions on Cybernetics 53.6 (2023): 3599-3612. (IEEE TCYB)
Community Detection in Graph: An Embedding Method
Junyou Zhu, Chunyu Wang, Chao Gao, Fan Zhang, Zhen Wang, Xuelong Li
IEEE Transactions on Network Science and Engineering 9.2 (2022): 689-702. (IEEE TNSE)
Unsupervised Community Detection In Attributed Networks Based On Mutual Information Maximization
Junyou Zhu, Xianghua Li, Chao Gao, Zhen Wang, Jurgen Kurths
New Journal of Physics 23.11 (2021): 113016. (NJP)
Evolutionary Markov Dynamics For Network Community Detection
Zhen Wang, Chunyu Wang, Xianghua Li, Chao Gao, Xuelong Li, Junyou Zhu
IEEE Transactions on Knowledge and Data Engineering 34.3 (2022): 1206-1220. (IEEE TKDE)
Unsupervised Dynamic Network Embedding Using Global Information
Junyou Zhu, Zheng Luo, Fan Zhang, Haiqiang Wang, Jiaxin Wang, Chao Gao
In 2021 International Joint Conference on Neural Networks. (IJCNN 2021)
🚀 Projects
- 01.2025-12.2027, Explainable AI for Dynamic Stability Assessment.
👔 Work Experience
04.2025 - 12.2027, Researcher at Department of Complexity Science, Potsdam Institute for Climate Impact Research.
14473 Potsdam, Germany
03.2023 - 03.2025, Guest Researcher at Department of Complexity Science, Potsdam Institute for Climate Impact Research.
14473 Potsdam, Germany
🔍 Reviewer Service
- IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)
- IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS)
- IEEE Transactions on Network Science and Engineering (IEEE TNSE)
- IEEE Transactions on Emerging Topics in Computing (IEEE TETC)
- CAAI Transactions on Intelligence Technology (CAAI TIT)
- ICLR 2026
- ICML 2025
- NeurIPS 2024
- KDD 2024