Tianming Qiu

12 papers B 1Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ensuring Semantics in Weights of Implicit Neural Representations through the Implicit Function Theorem.
CoRR
Tianming Qiu, Christos Sonis, Hao Shen
2025 — conf
An Advanced nnU-Net Framework for BraTS-2025 PED.
BraTS-Lighthouse/AIMS-TBI@MICCAI (1)
Xiaolong Li, Zhi-Qin John Xu, Yan Ren, Tianming Qiu, Xiaowen Wang
2025 — conf
Frequency-Aware Ensemble Learning for BraTS 2025 Pediatric Brain Tumor Segmentation.
BraTS-Lighthouse/AIMS-TBI@MICCAI (1)
Yuxiao Yi, Qingyao Zhuang, Zhi-Qin John Xu, Xiaowen Wang, Yan Ren, Tianming Qiu
2025 J jnl
Resource-Efficient Adaptation of Large Language Models for Text Embeddings via Prompt Engineering and Contrastive Fine-tuning.
CoRR
Benedikt Roth, Stephan Rappensperger, Tianming Qiu, Hamza Imamovic, Julian Wörmann, Hao Shen
2025 J jnl
Towards Reliable Pediatric Brain Tumor Segmentation: Task-Specific nnU-Net Enhancements.
CoRR
Xiaolong Li, Zhi-Qin John Xu, Yan Ren, Tianming Qiu, Xiaowen Wang
2023 B conf
Scene Understanding for Autonomous Driving Using Visual Question Answering.
IJCNN
Adrien Wantiez, Tianming Qiu, Stefan Matthes, Hao Shen
2022 J jnl
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey.
CoRR
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
2022 — conf
Laplace Approximation for Real-Time Uncertainty Estimation in Object Detection.
ITSC
Ming Gui, Tianming Qiu, Fridolin Bauer, Hao Shen
2022 — conf
On Leveraging the Metapath and Entity Aware Subgraphs for Recommendation.
MCFR@MM
Muhammad Umer Anwaar, Zhiwei Han, Shyam Arumugaswamy, Rayyan Ahmad Khan, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu, Martin Kleinsteuber
2022 — conf
SVIT: Hybrid Vision Transformer Models with Scattering Transform.
MLSP
Tianming Qiu, Ming Gui, Cheng Yan, Ziqing Zhao, Hao Shen
2020 J jnl
Knowledge as Invariance - History and Perspectives of Knowledge-augmented Machine Learning.
CoRR
Alexander Sagel, Amit Sahu, Stefan Matthes, Holger Pfeifer, Tianming Qiu, Harald Rueß, Hao Shen, Julian Wörmann
2020 J jnl
Metapath- and Entity-aware Graph Neural Network for Recommendation.
CoRR
Zhiwei Han, Muhammad Umer Anwaar, Shyam Arumugaswamy, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu, Martin Kleinsteuber