Zobrazeno 1 - 10
of 2 331
pro vyhledávání: '"Wang, Ziqi"'
Autor:
Quan, Pengrui, Ouyang, Xiaomin, Jeyakumar, Jeya Vikranth, Wang, Ziqi, Xing, Yang, Srivastava, Mani
Effective processing, interpretation, and management of sensor data have emerged as a critical component of cyber-physical systems. Traditionally, processing sensor data requires profound theoretical knowledge and proficiency in signal-processing too
Externí odkaz:
http://arxiv.org/abs/2410.10741
The right to be forgotten mandates that machine learning models enable the erasure of a data owner's data and information from a trained model. Removing data from the dataset alone is inadequate, as machine learning models can memorize information fr
Externí odkaz:
http://arxiv.org/abs/2410.10128
We show that in a special type of two-dimensional dilaton-gravity-scalar model, where both the dilaton and the scalar matter fields have noncanonical kinetic terms, it is possible to construct kink solutions whose linear perturbation equation is a Sc
Externí odkaz:
http://arxiv.org/abs/2409.14761
Autor:
Kim, Jungho, Wang, Ziqi
This paper introduces a stochastic simulator for seismic uncertainty quantification, which is crucial for performance-based earthquake engineering. The proposed simulator extends the recently developed dimensionality reduction-based surrogate modelin
Externí odkaz:
http://arxiv.org/abs/2409.17159
Autor:
Wang, Ziqi, Zhang, Hanlin, Li, Xiner, Huang, Kuan-Hao, Han, Chi, Ji, Shuiwang, Kakade, Sham M., Peng, Hao, Ji, Heng
Position bias has proven to be a prevalent issue of modern language models (LMs), where the models prioritize content based on its position within the given context. This bias often leads to unexpected model failures and hurts performance, robustness
Externí odkaz:
http://arxiv.org/abs/2407.01100
GPT-4 is often heralded as a leading commercial AI offering, sparking debates over its potential as a steppingstone toward artificial general intelligence. But does it possess consciousness? This paper investigates this key question using the nine qu
Externí odkaz:
http://arxiv.org/abs/2407.09517
Recent years have witnessed significant advancements in light field image super-resolution (LFSR) owing to the progress of modern neural networks. However, these methods often face challenges in capturing long-range dependencies (CNN-based) or encoun
Externí odkaz:
http://arxiv.org/abs/2406.12463
Federated multi-view clustering offers the potential to develop a global clustering model using data distributed across multiple devices. However, current methods face challenges due to the absence of label information and the paramount importance of
Externí odkaz:
http://arxiv.org/abs/2406.08524
Autor:
Wu, Jason, Wang, Ziqi, Ouyang, Xiaomin, Jeong, Ho Lyun, Samplawski, Colin, Kaplan, Lance, Marlin, Benjamin, Srivastava, Mani
Localization is a critical technology for various applications ranging from navigation and surveillance to assisted living. Localization systems typically fuse information from sensors viewing the scene from different perspectives to estimate the tar
Externí odkaz:
http://arxiv.org/abs/2406.06796
Publikováno v:
Comptes Rendus. Chimie, Vol 23, Iss 1, Pp 33-46 (2020)
Single metal catalysts with different active components (La, Sm, Ce) and La loadings (5%, 10%, 15%) were prepared. Oxydehydrogenation of C2H6 with CO2 over the above catalysts was studied by catalyst activity experiments and characterization tests. T
Externí odkaz:
https://doaj.org/article/3207ea2148194323a061f18861d594f9
