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of 13 711
pro vyhledávání: '"Ding,Yi"'
Vision Language Models (VLMs) have become essential backbones for multimodal intelligence, yet significant safety challenges limit their real-world application. While textual inputs are often effectively safeguarded, adversarial visual inputs can eas
Externí odkaz:
http://arxiv.org/abs/2410.06625
Autor:
Ding, Yi, He, Xuan, Nguyen, Tuan Thanh, Song, Wentu, Yakhini, Zohar, Yaakobi, Eitan, Pan, Linqiang, Tang, Xiaohu, Cai, Kui
DNA-based data storage has been attracting significant attention due to its extremely high density, low power consumption, and long duration compared to traditional data storage mediums. Despite the recent advancements in DNA data storage technology,
Externí odkaz:
http://arxiv.org/abs/2410.04886
In scientific machine learning, the task of identifying partial differential equations accurately from sparse and noisy data poses a significant challenge. Current sparse regression methods may identify inaccurate equations on sparse and noisy datase
Externí odkaz:
http://arxiv.org/abs/2409.18370
Although the entanglement entropy probing novel phases and phase transitions numerically via quantum Monte Carlo (QMC) has achieved huge success in pure ground states of quantum many-body systems, numerical explorations on mixed states remain limited
Externí odkaz:
http://arxiv.org/abs/2409.10273
Using entanglement entropy (EE) to probe the intrinsic physics of the novel phases and phase transitions in quantum many-body systems is an important but challenging topic in condensed matter physics. Thanks to our newly developed bipartite-reweight-
Externí odkaz:
http://arxiv.org/abs/2409.09942
Human Activity Recognition (HAR) using Inertial Measurement Unit (IMU) sensors is critical for applications in healthcare, safety, and industrial production. However, variations in activity patterns, device types, and sensor placements create distrib
Externí odkaz:
http://arxiv.org/abs/2410.00003
Physics-informed neural networks (PINNs) have great potential for flexibility and effectiveness in forward modeling and inversion of seismic waves. However, coordinate-based neural networks (NNs) commonly suffer from the "spectral bias" pathology, wh
Externí odkaz:
http://arxiv.org/abs/2409.03536
In the present study, by adopting the advantage of ultrasonic techniques, we developed a Multichannel Pulsed Ultrasonic Doppler Velocimetry (MPUDV) to measure the 2D2C velocity fields of liquid metal flow. Due to the specially designed Ultrasonic hos
Externí odkaz:
http://arxiv.org/abs/2409.02815
Autor:
Liu, Chenyu, Zhou, Xinliang, Wu, Yihao, Ding, Yi, Zhai, Liming, Wang, Kun, Jia, Ziyu, Liu, Yang
Compared to other modalities, electroencephalogram (EEG) based emotion recognition can intuitively respond to emotional patterns in the human brain and, therefore, has become one of the most focused tasks in affective computing. The nature of emotion
Externí odkaz:
http://arxiv.org/abs/2408.06027
Given pedestrians' vulnerability in road traffic, it remains unclear how novel AV appearances will impact pedestrians crossing behaviour. To address this gap, this study pioneers an investigation into the influence of AVs' exterior design, correlated
Externí odkaz:
http://arxiv.org/abs/2407.06505