Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, , , , | Summary: A high-order flux reconstruction solver has been developed and validated to perform implicit large-eddy simulations of industrially representative turbomachinery flows. The T106c low-pressure turbine and VKI LS89 high-pressure turbine cases are studied. The solver uses the Rusanov Riemann solver to […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Nan Huang, Christian Kümmerle, Xiang Zhang, , | Summary: Normalization techniques are crucial for enhancing Transformer models’ performance and stability in time series analysis tasks, yet traditional methods like batch and layer normalization often lead to issues such as token shift, attention shift, and sparse attention. We […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Yihe Wang, Nan Huang, Taida Li, Yujun Yan, Xiang Zhang | Summary: Medical time series data, such as Electroencephalography (EEG) and Electrocardiography (ECG), play a crucial role in healthcare, such as diagnosing brain and heart diseases. Existing methods for medical time series classification primarily rely on handcrafted […]
Kavli Affiliate: Feng Wang | First 5 Authors: Jiaxing Li, Chi Xu, Feng Wang, Isaac M von Riedemann, Cong Zhang | Summary: Large Language Models (LLMs) have become increasingly popular, transforming a wide range of applications across various domains. However, the real-world effectiveness of their query cache systems has not been thoroughly investigated. In this […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Jiahao Wang, Sucheng Ren, Guoyizhe Wei, Jieru Mei | Summary: Similar to Vision Transformers, this paper identifies artifacts also present within the feature maps of Vision Mamba. These artifacts, corresponding to high-norm tokens emerging in low-information background areas of images, appear much more severe in […]
Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Christopher J. N. Coveney, Jonah B. Haber, Antonios M. Alvertis, Jeffrey B. Neaton, Marina R. Filip | Summary: Understanding the processes governing the dissociation of excitons to free charge carriers in semiconductors and insulators is of central importance for photovoltaic applications. Dyson’s $mathcal{S}$-matrix formalism provides a […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, M. Cenk Gursoy, Senem Velipasalar, , | Summary: In this paper, we propose feature-based federated transfer learning as a novel approach to improve communication efficiency by reducing the uplink payload by multiple orders of magnitude compared to that of existing approaches in federated learning and […]
Kavli Affiliate: Birgitta Whaley | First 5 Authors: Cian C. Reeves, Gaurav Harsha, Avijit Shee, Yuanran Zhu, Chao Yang | Summary: Theoretical descriptions of non equilibrium dynamics of quantum many-body systems essentially employ either (i) explicit treatments, relying on truncation of the expansion of the many-body wave function, (ii) compressed representations of the many-body wave […]
Kavli Affiliate: Feng Wang | First 5 Authors: Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang | Summary: Multi-objective Bayesian optimization (MOBO) has shown promising performance on various expensive multi-objective optimization problems (EMOPs). However, effectively modeling complex distributions of the Pareto optimal solutions is difficult with limited function evaluations. Existing Pareto set learning […]
Kavli Affiliate: Ting Xu | First 5 Authors: Shenji Zhu, Miaoxin Hu, Tianya Pan, Yue Hong, Bin Li | Summary: Tooth segmentation is a key step for computer aided diagnosis of dental diseases. Numerous machine learning models have been employed for tooth segmentation on dental panoramic radiograph. However, it is a difficult task to achieve […]