Short bio:

Kai Zhao’s research focuses on AI and Machine Learning. Specifically, he developed a research program focusing on understanding human behavior with AI and computational methods, and modeling how the dynamics in human behaviors can shape and alter the dynamics of the AI system (Human-Center AI). He has published prolifically in 33 refereed journals and conference proceedings, such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Big Data, IEEE Transactions on Mobile Computing, IEEE Transactions on Computational Social Systems, AAAI, IJCAI, EMNLP, CIKM, ICDM, BigData, Scientific Reports, and Information Sciences. Dr. Zhao is currently serving as an associate editor at Electronic Commerce Research (Springer).

Updates:

• One paper on MultiModality AI Contrastive Prediction accepted by AAAI 2024 

• One paper on Multimodal AI accepted by IJCAI 2024

• One paper on Hierarchy Clustering accepted by IJCAI 2024

• One paper on Causal Inference and Causal Graph accepted by Knowledge-Based Systems 2024 (impact factor: 8.8)

• One paper on AI in Recommendation Systems accepted by Information Processing & Management 2024 (impact factor: 8.6)

• One paper on deep learning and human mobility behavior published by IEEE Transactions on Knowledge and Data Engineering 2023 (impact factor: 8.9)

• One paper on semantic annotation for spatial data is accepted by the IJCAI 2023. 

• One paper on legal judgment prediction via hierarchical reasoning is accepted by EMNLP 2023. 

• One paper on learning representations for unseen entities is accepted by CIKM 2023. 

• One paper on the spectral clustering algorithm accepted by IEEE Transactions on Mobile Computing 2023 (Impact factor: 7.9)

• One paper on the hierarchical clustering of human mobility accepted by IEEE Transactions on Computational Social Systems 2023 (Impact factor: 5.1)

• One paper on Multivariate Time-Series Forecasting accepted by IEEE Transactions on Big Data 2023 (Impact factor: 7.2)