Short Bio

Guangyao received the B.Sc. degree & M.Sc. degree (under the supervision of Prof. Wei Hu) in Computer Science from Nanjing University, China in June 2020 and June 2023, respectively.

Research Interests

Knowledge Graph & NLP.

Xinze Lyu, Guangyao Li, Jiacheng Huang, Wei Hu. Rule-Guided Graph Neural Networks for Recommender Systems. International Semantic Web Conference (ISWC’20), Athens, Greece, 2020. [Paper]
Guangyao Li, Zequn Sun, Lei Qian, Qiang Guo, Wei Hu. Rule-based Data Augmentation for Knowledge Graph Embedding. AI Open, 2021. [Paper]
Yang Liu, Zequn Sun, Guangyao Li, Wei Hu. I Know What You Do Not Know: Knowledge Graph Embedding via Co-distillation Learning. International Conference on Information and Knowledge Management (CIKM’22). [Paper]
Xiangrong Zhu, Guangyao Li, Wei Hu. Heterogeneous federated knowledge graph embedding learning and unlearning. Proceedings of the ACM Web Conference (WWW’23). [Paper]
Yuxuan Huang, Zequn Sun, Guangyao Li, Xiaobin Tian, Wangzhou Dai, Wei Hu, Yuan Jiang, Zhihua Zhou. Enabling Abductive Learning to Exploit Knowledge Graph. International Joint Conference on Artificial Intelligence (IJCAI’23). [Paper]
Guangyao Li, Zequn Sun, Wei Hu, Gong Cheng, Yuzhong Qu. Position-aware Relational Transformer for Knowledge Graph Embedding. IEEE Transactions on Neural Networks and Learning Systems (TNNLS’2023). [Paper]

Sun Zhongxiu Scholarship, 2017.
First Prize, People’s Scholarship, 2017/2018/2019.
Outstanding Graduate of Nanjing University, 2020.
CCKS: Link Prediction of Phenotype-Drug-Molecule Multi-level Knowledge Graph, Rank 1st, 2021.