Welcome! I am currently a PhD student at the University of New South Wales, supervised by Professor Wenjie Zhang, Professor Xuemin Lin, and Professor Ying Zhang.
My research interests include large graph processing and graph neural networks.
🔥 News
- 2024.02: 🎉🎉 One Paper is accepted to the IEEE Transactions on Neural Networks and Learning Systems.
- 2024.02: 🎉🎉 One Paper is accepted to the ICDE 2024.
- 2024.01: 🎉🎉 One Paper is accepted to the Web Conference 2024.
📝 Publications
11. TimeSGN: Scalable and Effective Temporal Graph Neural Network PDF
Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Maria Orlowska, Xuemin Lin
📍 IEEE International Conference on Data Engineering (ICDE 2024)
10. Scalable and Effective Temporal Graph Representation Learning With Hyperbolic Geometry PDF
Yuanyuan Xu, Wenjie Zhang, Xiwei Xu, Binghao Li, Ying Zhang
📍 IEEE Transactions on Neural Networks and Learning Systems
9. Query2gmm: Learning representation with gaussian mixture model for reasoning over knowledge graphs PDF
Yuhan Wu*, Yuanyuan Xu*, Wenjie Zhang, Xiwei Xu, Ying Zhang
📍 The Web Conference 2024
8. Billion-Scale Bipartite Graph Embedding: A Global-Local Induced Approach PDF
Xueyi Wu*, Yuanyuan Xu*, Wenjie Zhang, Ying Zhang
📍 Proceedings of the VLDB Endowment (PVLDB 2024)
7. A Holistic Approach for Answering Logical Queries on Knowledge Graphs PDF
Yuhan Wu*, Yuanyuan Xu*, Xuemin Lin, Wenjie Zhang
📍 IEEE International Conference on Data Engineering (ICDE 2023)
6. Class-aware tiny object recognition over large-scale 3D point clouds
Jialin Li, Sarp Saydam, Yuanyuan Xu, Boge Liu, Binghao Li, Xuemin Lin, Wenjie Zhang
📍 Neurocomputing
5. Learning Accurate Label-Specific Features From Partially Multilabeled Data
Tiantian Xu, Yuanyuan Xu#, Shiyu Yang, Binghao Li, Wenjie Zhang
📍 IEEE Transactions on Neural Networks and Learning Systems
4. Unsupervised cross-view feature selection on incomplete data
Yuanyuan Xu, Yu Yin, Jun Wang, Jinmao Wei, Jian Liu, Lina Yao, Wenjie Zhang
📍 Knowledge-Based Systems
3. An effective multi-label feature selection model towards eliminating noisy features
Jun Wang, Yuanyuan Xu, Hengpeng Xu, Zhe Sun, Zhenglu Yang, Jinmao Wei
📍 Applied Sciences
2. To avoid the pitfall of missing labels in feature selection: A generative model gives the answer PDF
Yuanyuan Xu, Jun Wang, Jinmao Wei
📍 AAAI 2020
1. Semi-supervised multi-label feature selection by preserving feature-label space consistency
Yuanyuan Xu, Jun Wang, Shuai An, Jinmao Wei, Jianhua Ruan
📍 ACM international conference on information and knowledge management (CIKM 2018)
💻 Professional Activities
Program Committee Member / Reviewer:
- International Joint Conference on Artificial Intelligence (IJCAI): 2021, 2022, 2024;
- Annual Conference on Neural Information Processing Systems (NeurIPS): 2024;
- ACM SIGKDD: 2025;
- International Conference on Learning Representations (ICLR): 2025;
- APWeb-WAIM Conference: 2024;
- Internet of Things.