My research interests include graph neural networks and their applications on text and knowledge graphs.
Zhiyuan Liu, Jie Zhou. Introduction to Graph Neural Networks. Synthesis Lectures on Artificial Intelligence and Machine Learning 2020.
Ganqu Cui, Jie Zhou, Cheng Yang, Zhiyuan Liu. Adaptive Graph Encoder for Attributed Graph Embedding. The 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2020). [code]
Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun. GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification. The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019). [code]
* indicates equal contribution.
Jie Zhou, Xin Lv, Cheng Yang, Zhiyuan Liu, Juanzi Li, Maosong Sun. KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion. Arxiv 2020.
Jie Zhou*, Ganqu Cui*, Shengding Hu, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun. Graph Neural Networks: A Review of Methods and Applications. Arxiv 2018.
- Reviewer: CCL 2019, COLING 2020, WWW 2020
- Review Assistant: EMNLP 2019, NLPCC 2019, WSDM 2020
- TA: Object Oriented Programming, 2019/2020.
- National Scholarship, Tsinghua University, 2019.
- Excellent Graduate, Beijing, 2016.
- Excellent Graduate, Tsinghua University, 2016.
- Excellent Graduate, Dept. of CST, Tsinghua University, 2016.
- Excellent Bachelor Thesis, Tsinghua University, 2016.