Bo Xiong is a doctoral researcher of Analytic Computing and a scholar of the International Max Planck Research School on Intelligent Systems (IMPRS-IS). His research lies in machine learning on relational and graph-structured data. His goal is to develop novel models and techniques that transform discrete, symbolic, and graph-structured data (e.g., networks and knowledge graphs) into continual geometric spaces to enable the integration of learning and inference.
He has published and co-authored several papers in top-tier conferences, including NeurIPS, KDD, ACL, SIGIR, ISWC and TheWebConf. His contributions have also been acknowledged with prestigious awards. In particular, his paper titled "Faithful Embedding for EL++ Knowledge Bases" was awarded as the Best Student paper at the International Semantic Web Conference (ISWC 2022), a premier conference in the semantic web and linked data community. Furthermore, one of his NeurIPS papers on “Pseudo-Riemannian Graph Convolutional Networks” received the Faculty Publication Award 2022 at the University of Stuttgart.
In recognition of these outstanding research accomplishments, the IMPRS-IS has recently recognized Bo Xiong as an IMPRS-IS Scholar Spotlight.
More information available here: https://imprs.is.mpg.de/news/scholar-spotlight-bo-xiong