Kairong Hu is a postgraduate student in School of Computer Science, South China Normal University.

My research topic is Knowledge Graph Representation Learning.

Papers:

1. Kairong Hu, Hai Liu, Tianyong Hao*. A Knowledge Selective Adversarial Network for Link Prediction in Knowledge Graph. NLPCC 2019. Dunhuang. CCF C. Oral Presentation. 

2. Hai Liu, Kairong Hu, Fu-Lee Wang, Tianyong Hao*. Aggregating Neighborhood Information for Negative Sampling for Knowledge Graph Embedding. Neural Computing & Applications (SCI, 2020 IF 4.774). 

3. Kairong Hu, Hai Liu, Choujun Zhan, Yong Tang and Tianyong Hao*. A Bi-Directional Relation Aware Network for Link Prediction in Knowledge Graph. Best Paper Award of International Conference on Neural Computing for Advanced Applications 2020. 

4. Kairong Hu, Hai Liu, Choujun Zhan, Yong Tang, Tianyong Hao*. Learning Knowledge Graph Embedding with A Bi-directional Relation Encoding Network and A Convolutional Autoencoder Decoding Network. Neural Computing & Applications (SCI, 2021 IF 4.774).

5. Kairong Hu, Xiaozhi Zhu, Hai Liu, Yingying Qu, Fu Lee Wang, Tianyong Hao*. Convolutional Neural Network-Based Entity-specific Common Feature Aggregation for Knowledge Graph Embedding Learning. IEEE Transactions on Consumer Electronics (SCI, 2023 IF 4.3).