Zobrazeno 1 - 10
of 4 568
pro vyhledávání: '"Wang, JingYi"'
We present a scalable approach to solve a class of elliptic partial differential equation (PDE)-constrained optimization problems with bound constraints. This approach utilizes a robust full-space interior-point (IP)-Gauss-Newton optimization method.
Externí odkaz:
http://arxiv.org/abs/2410.14918
Autor:
Liu, Zihan, Zeng, Ruinan, Wang, Dongxia, Peng, Gengyun, Wang, Jingyi, Liu, Qiang, Liu, Peiyu, Wang, Wenhai
In industrial control systems, the generation and verification of Programmable Logic Controller (PLC) code are critical for ensuring operational efficiency and safety. While Large Language Models (LLMs) have made strides in automated code generation,
Externí odkaz:
http://arxiv.org/abs/2410.14209
Autor:
Chen, Jialuo, Wang, Jingyi, Zhang, Xiyue, Sun, Youcheng, Kwiatkowska, Marta, Chen, Jiming, Cheng, Peng
Due to the vast testing space, the increasing demand for effective and efficient testing of deep neural networks (DNNs) has led to the development of various DNN test case prioritization techniques. However, the fact that DNNs can deliver high-confid
Externí odkaz:
http://arxiv.org/abs/2409.09130
Autor:
Chen, Wei, Wang, Jingyi
We establish a discrete weighted version of Calder\'{o}n-Zygmund decomposition from the perspective of dyadic grid in ergodic theory. Based on the decomposition, we study discrete $A_\infty$ weights. First, characterizations of the reverse H\"{o}lder
Externí odkaz:
http://arxiv.org/abs/2409.08896
Autor:
Wang, Jingyi
Accreting black holes are a fundamental tool to understand accretion and ejection physics, and are ideal laboratories to ultimately test Einstein's general relativity (GR) in the strongest gravity regime in the Universe. High-fidelity GR tests requir
Multimodal data has become a crucial element in the realm of big data analytics, driving advancements in data exploration, data mining, and empowering artificial intelligence applications. To support high-quality retrieval for these cutting-edge appl
Externí odkaz:
http://arxiv.org/abs/2408.16237
Recent advances in large vision-language models (VLMs) typically employ vision encoders based on the Vision Transformer (ViT) architecture. The division of the images into patches by ViT results in a fragmented perception, thereby hindering the visua
Externí odkaz:
http://arxiv.org/abs/2408.16224
Electroencephalography (EEG) signals are crucial for investigating brain function and cognitive processes. This study aims to address the challenges of efficiently recording and analyzing high-dimensional EEG signals while listening to music to recog
Externí odkaz:
http://arxiv.org/abs/2408.12124
Autor:
Nathan, Edward, Ingram, Adam, Steiner, James F., König, Ole, Dauser, Thomas, Lucchini, Matteo, Mastroserio, Guglielmo, van der Klis, Michiel, García, Javier A., Connors, Riley, Kara, Erin, Wang, Jingyi
The black hole X-ray binary H1743-322 lies in a region of the Galaxy with high extinction, and therefore it has not been possible to make a dynamical mass measurement. In this paper we make use of a recent model which uses the X-ray reflection spectr
Externí odkaz:
http://arxiv.org/abs/2408.05268
Autor:
Wang, Kun, Poskitt, Christopher M., Sun, Yang, Sun, Jun, Wang, Jingyi, Cheng, Peng, Chen, Jiming
Autonomous Vehicles (AVs) rely on sophisticated Autonomous Driving Systems (ADSs) to provide passengers a satisfying and safe journey. The individual preferences of riders plays a crucial role in shaping the perception of safety and comfort while the
Externí odkaz:
http://arxiv.org/abs/2407.13201