About Me

Here is Haichuan Fang (方海川). I am a Ph.D. candidate majoring in Software Engineering at School of Computer and Artificial Intelligence, Zhengzhou University. My main research area is Knowledge Representation Learning (KRL), including Static KRL, Temporal KRL, and Multi-Modal KRL. I have published and co-authored some research papers in several top journals and conferences.

Academic Background

• Sep 2022 - : Zhengzhou University (Ph.D. Candidate), Software Engineering, supervised by Prof. Yangdong Ye
• Sep 2019 - Jun 2022: Zhengzhou University (MSc), Software Engineering, supervised by Prof. Yangdong Ye and Prof. Zhen Tian
• Sep 2015 - Jun 2019: Dalian Ocean University (BSc), Computer Science and Technology

Research Interests

• Knowledge Representation Learning
• Graph Representation Learning
• Data Mining
• Bioinformatics
• Deep Learning

My current research focuses on practical problems brought about by the era of big data. Knowledge graph, as an important form of the existence of a large number of data, its representation learning can play an important role in quite a number of practical applications, including Question Answering, Intelligent Search, Bioinformatics, Recommender System, and so on. I wish to devote my talent to this meaningful issue and bring well-being to society.

News and Updates

• Dec 2022：One co-authored paper accepted by Briefings in Bioinformatics (BIB).
• Sep 2022：One paper accepted by Expert Systems with Applications (ESWA).
• Sep 2022：One co-authored paper accepted by Briefings in Bioinformatics (BIB).
• Jun 2022：One paper accepted by IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB).
• Jan 2022：One paper accepted by BMC Bioinformatics.
• Nov 2020：One paper accepted by International Conference on Bioinformatics and Biomedicine (BIBM).