6 citations · 6 across the 3 of their papers we have counts for
4 papers
An output scaling layer boosts deep neural networks for multiscale ODE systems
Yuxiao Yi, Weizong Wang, Tianhan Zhang +1
Simulating complex diffusion-reaction systems is often prohibitively expensive due to the high dimensionality and stiffness of the underlying ODEs, where state variables may span t…
Frequency-Aware Ensemble Learning for BraTS 2025 Pediatric Brain Tumor Segmentation
Yuxiao Yi, Qingyao Zhuang, Zhi-Qin John Xu +3
Pediatric brain tumor segmentation presents unique challenges due to the rarity and heterogeneity of these malignancies, yet remains critical for clinical diagnosis and treatment p…
Unveiling the Mechanisms of Multi-Hop Reasoning in Transformers via Identity Bridge
Pengxiao Lin, Zheng-An Chen, Zhi-Qin John Xu
Large Language Models (LLMs) excel at multi-hop reasoning in distribution, yet fail on unseen compositions, a phenomenon known as the curse of two-hop reasoning. In this work, we a…
Deep Neural Networks for Modeling Astrophysical Nuclear Reacting Flows
Xiaoyu Zhang, Yuxiao Yi, Lile Wang +3
In astrophysical simulations, nuclear reacting flows pose computational challenges due to the stiffness of reaction networks. We introduce neural network-based surrogate models usi…