Tianming Qiu

According to our database, Tianming Qiu authored at least 12 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Ensuring Semantics in Weights of Implicit Neural Representations through the Implicit Function Theorem.

Tianming Qiu, Christos Sonis, Hao Shen

CoRR, January, 2026

2025

Towards Reliable Pediatric Brain Tumor Segmentation: Task-Specific nnU-Net Enhancements.

Xiaolong Li, Zhi-Qin John Xu, Yan Ren, Tianming Qiu, Xiaowen Wang

CoRR, November, 2025

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

CoRR, July, 2025

Frequency-Aware Ensemble Learning for BraTS 2025 Pediatric Brain Tumor Segmentation.

Yuxiao Yi, Qingyao Zhuang, Zhi-Qin John Xu, Xiaowen Wang, Yan Ren, Tianming Qiu

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

An Advanced nnU-Net Framework for BraTS-2025 PED.

Xiaolong Li, Zhi-Qin John Xu, Yan Ren, Tianming Qiu, Xiaowen Wang

Proceedings of the Segmentation, Classification, and Synthesis for Brain Tumors and Traumatic Brain Injuries, 2025

2023

Scene Understanding for Autonomous Driving Using Visual Question Answering.

Adrien Wantiez, Tianming Qiu, Stefan Matthes, Hao Shen

Proceedings of the International Joint Conference on Neural Networks, 2023

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, Sebastian Houben, Tim Joseph, Niklas Keil, Johann Kelsch, Hendrik Königshof, Erwin Kraft, Leonie Kreuser, Kevin Krone, Tobias Latka, Denny Mattern, Stefan Matthes, Mohsin Munir, Moritz Nekolla, Adrian Paschke, Maximilian Alexander Pintz, Tianming Qiu, Faraz Qureishi, Syed Tahseen Raza Rizvi, Jörg Reichardt, Laura von Rüden, Stefan Rudolph, Alexander Sagel, Gerhard Schunk, Hao Shen, Hendrik Stapelbroek, Vera Stehr, Gurucharan Srinivas, Anh Tuan Tran, Abhishek Vivekanandan, Ya Wang, Florian Wasserrab, Tino Werner, Christian Wirth, Stefan Zwicklbauer

CoRR, 2022

SVIT: Hybrid Vision Transformer Models with Scattering Transform.

Tianming Qiu, Ming Gui, Cheng Yan, Ziqing Zhao, Hao Shen

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

On Leveraging the Metapath and Entity Aware Subgraphs for Recommendation.

Muhammad Umer Anwaar, Zhiwei Han, Shyam Arumugaswamy, Rayyan Ahmad Khan, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu, Martin Kleinsteuber

Proceedings of the MCFR@MM 2022: Proceedings of the 1st Workshop on Multimedia Computing towards Fashion Recommendation, 2022

Laplace Approximation for Real-Time Uncertainty Estimation in Object Detection.

Ming Gui, Tianming Qiu, Fridolin Bauer, Hao Shen

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

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, Julian Wörmann

CoRR, 2020

Metapath- and Entity-aware Graph Neural Network for Recommendation.

Zhiwei Han, Muhammad Umer Anwaar, Shyam Arumugaswamy, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu, Martin Kleinsteuber

CoRR, 2020