Metapath- and Entity-aware Graph Neural Network for Recommendation. - Zhiwei Han; Muhammad Umer Anwaar; Shyam Arumugaswamy; Thomas Weber 005; Tianming Qiu; Hao Shen 002; Yuanting Liu; Martin Kleinsteuber (CoRR, 2020)

Knowledge as Invariance - History and Perspectives of Knowledge-augmented Machine Learning. - Alexander Sagel; Amit Sahu; Stefan Matthes; Holger Pfeifer; Tianming Qiu; Harald Rueß; Hao Shen 002; Julian Wörmann (CoRR, 2020)

Laplace Approximation for Real-Time Uncertainty Estimation in Object Detection. - Ming Gui; Tianming Qiu; Fridolin Bauer; Hao Shen 002 (ITSC, 2022)

On Leveraging the Metapath and Entity Aware Subgraphs for Recommendation. - Muhammad Umer Anwaar; Zhiwei Han; Shyam Arumugaswamy; Rayyan Ahmad Khan; Thomas Weber 005; Tianming Qiu; Hao Shen 002; Yuanting Liu; Martin Kleinsteuber (MCFR@MM, 2022)

SVIT: Hybrid Vision Transformer Models with Scattering Transform. - Tianming Qiu; Ming Gui; Cheng Yan; Ziqing Zhao; Hao Shen 002 (MLSP, 2022)

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey. - Julian Wörmann; Daniel Bogdoll; Etienne Bührle; Han Chen; Evaristus Fuh Chuo; Kostadin Cvejoski; Ludger van Elst; Tobias Gleißner; Philip Gottschall; Stefan Griesche; Christian Hellert; Christian Hesels; et al. (CoRR, 2022)

Scene Understanding for Autonomous Driving Using Visual Question Answering. - Adrien Wantiez; Tianming Qiu; Stefan Matthes; Hao Shen 002 (IJCNN, 2023)

Resource-Efficient Adaptation of Large Language Models for Text Embeddings via Prompt Engineering and Contrastive Fine-tuning. - Benedikt Roth; Stephan Rappensperger; Tianming Qiu; Hamza Imamovic; Julian Wörmann; Hao Shen 002 (CoRR, 2025)