Working in the field of machine learning with a focus on relational and graph-structured data at the University of Stuttgart, IMPRS-IS scholar Bo Xiong won a Best Student Paper Award at the International Semantic Web Conference (ISWC 2022).
IMPRS-IS aims to recognize the outstanding accomplishments of its doctoral researchers through our scholar spotlight. We would now like to highlight some of the achievements of IMPRS-IS scholar Bo Xiong who won a Best Student Paper Award at the International Semantic Web Conference (ISWC 2022), the Faculty Publication Award 2022 at University of Stuttgart for his paper titled Pseudo-Riemannian Graph Neural Networks in NeurIPS 2022
Bo Xiong joined IMPRS-IS in March of 2021 as a doctoral researcher at the Analytic Computing Department of University of Stuttgart under the supervision of Prof. Steffen Staab. He is also an Early Stage Researcher under the Marie Skłodowska-Curie European Training Networks (ETN). His research lies in machine learning on relational and graph-structured data. His goal is to develop novel models and techniques that transform discreate, symbolic, and graph-structured data (e.g., networks and knowledge graphs) into continual geometric spaces, so as to enable the intergration of learning and inference.
Bo Xiong won a Best Student Paper Award for his paper titled Faithful Embedding for EL++ Knowledge Bases at the International Semantic Web Conference (ISWC 2022), a premier conference in semantic web and linked data community. One of his NeurIPS paper on Pseudo-Riemannian Graph Neural Networks received the Faculty Publication Award at University of Stuttgart for the year 2022. He has published and co-authored several papers in top-tier conferences including NeurIPS, KDD, ACL, SIGIR and TheWebConf.
Before his PhD journey, Bo has studied software engineering at Beijing Jiaotong University, Beijing, China, during which he has worked as a research intern at the Microsoft Research and Huawei Noah’s Ark Lab. In his spare time, Bo enjoys hiking, traveling and cooking.
We commend Bo for the great research he has been doing and thank him for his valuable contributions to our IMPRS-IS. We are proud to have Bo Xiong recognized as an IMPRS-IS Scholar Spotlight.
Bo Xiong presents his paper in ACL 2023
Bo Xiong, Nico Potyka, Trung-Kien Tran, Mojtaba Nayyeri, and Steffen Staab. Faithful Embeddings for EL++ Knowledge Bases. The Semantic Web – ISWC 2022: 21st International Semantic Web Conference. https://doi.org/10.1007/978-3-031-19433-7_2
Bo Xiong*, Shichao Zhu*, Nico Potyka, Shirui Pan, Chuan Zhou, and Steffen Staab. Pseudo-Riemannian Graph Convolutional Networks. Advances in Neural Information Processing Systems 2022. https://papers.nips.cc/paper_files/paper/2022/hash/16c628ab12dc4caca8e7712affa6c767-Abstract-Conference.html
Bo Xiong, Mojtaba Nayyeri, Shirui Pan, and Steffen Staab. Shrinking Embeddings for Hyper-Relational Knowledge Graphs. The 61st Annual Meeting of the Association for Computational Linguistics 2023. https://aclanthology.org/2023.acl-long.743/
Mojtaba Nayyeri, Bo Xiong, Majid Mohammadi, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Jens Lehmann, and Steffen Staab. Knowledge Graph Embeddings using Neural Itô Process: From Multiple Walks to Stochastic Trajectories. Findings of the Association for Computational Linguistics: ACL 2023. https://aclanthology.org/2023.findings-acl.448
Bo Xiong, Michael Cochez, Mojtaba Nayyeri, and Steffen Staab. Hyperbolic Embedding Inference for Structured Multi-Label Prediction. Advances in Neural Information Processing Systems 2022. https://proceedings.neurips.cc/paper_files/paper/2022/hash/d51ab0fc62fe2d777c7569952f518f56-Abstract-Conference.html
Bo Xiong, Shichao Zhu, Mojtaba Nayyeri, Chenjin Xu, Shirui Pan, Chuan Zhou, and Steffen Staab. Ultrahyperbolic Knowledge Graph Embeddings. The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2022. https://doi.org/10.1145/3534678.3539333
Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, and Carl Yang. HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval-Short Paper 2023. https://arxiv.org/abs/2304.05973.
Chenjin Xu, Fenglong Su, Bo Xiong, and Jens Lehmann. Time-Aware Entity Alignment using Temporal Relational Attention. Proceedings of the ACM Web Conference 2022. https://doi.org/10.1145/3485447.3511922