Zobrazeno 1 - 10
of 4 410
pro vyhledávání: '"Yang,Shan"'
Autor:
Yang, Shan, Zhu, Yongli
This paper presents a Consensus ADMM-based modeling and solving approach for the stochastic ACOPF. The proposed optimization model considers the load forecasting uncertainty and its induced load-shedding cost via Monte Carlo sampling. The sampled sce
Externí odkaz:
http://arxiv.org/abs/2411.02159
Recent research in zero-shot Relation Extraction (RE) has focused on using Large Language Models (LLMs) due to their impressive zero-shot capabilities. However, current methods often perform suboptimally, mainly due to a lack of detailed, context-spe
Externí odkaz:
http://arxiv.org/abs/2410.01154
Autor:
Indrakanti, Ashraya K., Wasserthal, Jakob, Segeroth, Martin, Yang, Shan, Schulze-Zachau, Victor, Cyriac, Joshy, Bach, Michael, Psychogios, Marios, Mutke, Matthias A.
Purpose: To develop an open-source nnU-Net-based AI model for combined detection and segmentation of unruptured intracranial aneurysms (UICA) in 3D TOF-MRI, and compare models trained on datasets with aneurysm-like differential diagnoses. Methods: Th
Externí odkaz:
http://arxiv.org/abs/2408.17115
Autor:
Cheng, Yang, Shu, Qingyuan, Lee, Albert, He, Haoran, Zhu, Ivy, Suhail, Haris, Chen, Minzhang, Chen, Renhe, Wang, Zirui, Zhang, Hantao, Wang, Chih-Yao, Yang, Shan-Yi, Hsin, Yu-Chen, Shih, Cheng-Yi, Lee, Hsin-Han, Cheng, Ran, Pamarti, Sudhakar, Kou, Xufeng, Wang, Kang L.
Stochastic diffusion processes are pervasive in nature, from the seemingly erratic Brownian motion to the complex interactions of synaptically-coupled spiking neurons. Recently, drawing inspiration from Langevin dynamics, neuromorphic diffusion model
Externí odkaz:
http://arxiv.org/abs/2407.12261
Thermal noise in the mirror coatings limits the accuracy of today's most optical precision measurement experiments. Unlike the more commonly discussed thermal phase noise, the crystalline coating can generate thermal birefringent noise due to its ani
Externí odkaz:
http://arxiv.org/abs/2407.01634
Recent advancements in speech synthesis witness significant benefits by leveraging discrete tokens extracted from self-supervised learning (SSL) models. Discrete tokens offer higher storage efficiency and greater operability in intermediate represent
Externí odkaz:
http://arxiv.org/abs/2406.08416
Autor:
D'Antonoli, Tugba Akinci, Berger, Lucas K., Indrakanti, Ashraya K., Vishwanathan, Nathan, Weiß, Jakob, Jung, Matthias, Berkarda, Zeynep, Rau, Alexander, Reisert, Marco, Küstner, Thomas, Walter, Alexandra, Merkle, Elmar M., Segeroth, Martin, Cyriac, Joshy, Yang, Shan, Wasserthal, Jakob
Purpose: To develop an open-source and easy-to-use segmentation model that can automatically and robustly segment most major anatomical structures in MR images independently of the MR sequence. Materials and Methods: In this study we extended the cap
Externí odkaz:
http://arxiv.org/abs/2405.19492
Camera relocalization is pivotal in computer vision, with applications in AR, drones, robotics, and autonomous driving. It estimates 3D camera position and orientation (6-DoF) from images. Unlike traditional methods like SLAM, recent strides use deep
Externí odkaz:
http://arxiv.org/abs/2402.13537
Autor:
Munoz, Gilberto A. de la Pena, Correa, Alfredo A., Yang, Shan, Delaire, Olivier, Huang, Yijing, Johnson, Allan S., Katayama, Tetsuo, Krapivin, Viktor, Pastor, Ernest, Reis, David A., Teitelbaum, Samuel, Vidas, Luciana, Wall, Simon, Trigo, Mariano
In the prevalent picture of ultrafast structural phase transitions, the atomic motion occurs in a slowly varying potential energy surface determined adiabatically by the fast electrons. However, this ignores non-conservative forces caused by electron
Externí odkaz:
http://arxiv.org/abs/2402.13133
Autor:
Yang, Shan, Zhang, Yongfei
Multimodal large language models (MLLM) have achieved satisfactory results in many tasks. However, their performance in the task of ReID (ReID) has not been explored to date. This paper will investigate how to adapt them for the task of ReID. An intu
Externí odkaz:
http://arxiv.org/abs/2401.13201