Mathematik und Informatik

Prof. Dr. Xiaoyi Jiang, Institut für Informatik

Private Homepage
Research InterestsComputer Vision
Pattern Recognition
Current PublicationsNienkötter A, Jiang X Kernel-based generalized median computation for consensus learning. IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 45 (5), 2023 online
Hegselmann S, Buendia A, Lang H, Agrawal M, Jiang X, Sontag D TabLLM: Few-shot classification of tabular data with large language models. Proc. of AISTATS, 2023 online
• Computer Vision and Machine Intelligence. , 2023 online
Eilers F, Jiang X Building blocks for a complex-valued transformer architecture. Proc. of ICASSP, 2023 online
Xiao J, Tian Y, Jia Y, Jiang X, Yu L, Wang S Black-box attack-based security evaluation framework for credit card fraud detection models. INFORMS Journal on Computing, 2023 online
Sandmann S, Richter S, Jiang X, Varghese J Reconstructing clonal evolution - a systematic evaluation of current bioinformatics approaches. International Journal of Environmental Research and Public Health Vol. 20, 2023 online
Dewi C, Chen RC, Zhuang YC, Jiang X, Yu H Recognizing road surface traffic signs based on Yolo models considering image flips. Big Data and Cognitive Computing Vol. 7, 2023 online
Xiao J, Zhong Y, Jia Y, Wang Y, Jiang X, Wang S A novel deep ensemble model for imbalanced credit scoring in internet finance. International Journal of Forecasting, 2023 online
Dewi C, Chen RC, Jiang X, Yu H Adjusting eye aspect ratio for strong eye blink detection based on facial landmarks. PeerJ Computer Science Vol. 8, 2022 online
Current ProjectsInterdisziplinäres Lehrprogramm zu maschinellem Lernen und künstlicher Intelligenz

The aim of the project is to establish and test a graduated university-wide teaching programme on machine learning (ML) and artificial intelligence (AI). AI is taught as an interdisciplinary cross-sectional topic that has diverse application possibilities in basic research as well as in economy and society, but consequently also raises social, ethical and ecological challenges.

The modular teaching program is designed to enable students to build up their AI knowledge, apply it independently and transfer it directly to various application areas. The courses take place in a broad interdisciplinary context, i.e., students from different departments take the courses together and work together on projects.

Projektbezogener Personenaustausch Indien DST 2020 online
CRC 1450 Z01 - Interactive and computational analysis of large multiscale imaging data The multiscale imaging strategy central to this initiative imposes novel data analysis challenges. The high complexity of the acquired data results from their nature of being volumetric, time-varying, large, multiscale, and forming cohorts. Meeting these challenges requires basic research in the fields of image analysis, machine learning, and visualization. Machine learning will be used to uncover inherent relationships between patterns at multiple scales. An interactive visual approach supports the user-centric analysis of detected features. The deliverable of this project will be generally applicable, effective, and efficient methods supporting the overall goal of multiscale data analysis. online
DAAD Programm des projektbezogenen Personenaustausches Taiwan 2021-2023 online
E-Mailxjiang at uni-muenster dot de
Phone+49 251 83-33759
FAX+49 251 83-33755
Secretary   Sekretariat Steinhoff
Frau Gerlinde Steinhoff
Telefon +49 251 83-38447
Fax +49 251 83-33755
Zimmer 602
AddressProf. Dr. Xiaoyi Jiang
Institut für Informatik
Fachbereich Mathematik und Informatik der Universität Münster
Einsteinstrasse 62
48149 Münster
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