Zobrazeno 1 - 10
of 14 830
pro vyhledávání: '"Jiang Hao"'
While deep neural networks have achieved remarkable performance, they tend to lack transparency in prediction. The pursuit of greater interpretability in neural networks often results in a degradation of their original performance. Some works strive
Externí odkaz:
http://arxiv.org/abs/2408.04600
With the wide application of biometrics, more and more attention has been paid to the security of biometric templates. However most of existing biometric template protection (BTP) methods have some security problems, e.g. the problem that protected t
Externí odkaz:
http://arxiv.org/abs/2408.03704
A near-field sensing (NISE) enabled predictive beamforming framework is proposed to facilitate wireless communications with high-mobility channels. Unlike conventional far-field sensing, which only captures the angle and the radial velocity of the us
Externí odkaz:
http://arxiv.org/abs/2408.02027
Dynamic spectrum sharing (DSS) between satellite and terrestrial networks has increasingly engaged the academic and industrial sectors. Nevertheless, facilitating secure, efficient and scalable sharing continues to pose a pivotal challenge. Emerging
Externí odkaz:
http://arxiv.org/abs/2408.02013
Autor:
Duan, Jiarui, Li, Haoling, Zhang, Haofei, Jiang, Hao, Xue, Mengqi, Sun, Li, Song, Mingli, Song, Jie
Attribution-based explanations are garnering increasing attention recently and have emerged as the predominant approach towards \textit{eXplanable Artificial Intelligence}~(XAI). However, the absence of consistent configurations and systematic invest
Externí odkaz:
http://arxiv.org/abs/2407.19471
Autor:
An, Liheng, Pan, Haiyang, Qiu, Wen-Xuan, Wang, Naizhou, Ru, Shihao, Tan, Qinghai, Dai, Xuran, Cai, Xiangbin, Shang, Qiuyu, Lu, Xiufang, Jiang, Hao, Lyu, Xiaodan, Watanabe, Kenji, Taniguchi, Takashi, Wu, Fengcheng, Gao, Wei-bo
Flat bands and electron correlation in moir\'e lattices give rise to many exotic phases, including Mott insulators, superconductivity, and topological states. Within the first moir\'e band, integer and fractional quantum anomalous Hall effects have b
Externí odkaz:
http://arxiv.org/abs/2407.13674
Autor:
Zhang, Yue, Zhang, Woyu, Wang, Shaocong, Lin, Ning, Yu, Yifei, He, Yangu, Wang, Bo, Jiang, Hao, Lin, Peng, Xu, Xiaoxin, Qi, Xiaojuan, Wang, Zhongrui, Zhang, Xumeng, Shang, Dashan, Liu, Qi, Cheng, Kwang-Ting, Liu, Ming
The brain is dynamic, associative and efficient. It reconfigures by associating the inputs with past experiences, with fused memory and processing. In contrast, AI models are static, unable to associate inputs with past experiences, and run on digita
Externí odkaz:
http://arxiv.org/abs/2407.08990
Autor:
He, Wanggui, Fu, Siming, Liu, Mushui, Wang, Xierui, Xiao, Wenyi, Shu, Fangxun, Wang, Yi, Zhang, Lei, Yu, Zhelun, Li, Haoyuan, Huang, Ziwei, Gan, LeiLei, Jiang, Hao
Auto-regressive models have made significant progress in the realm of language generation, yet they do not perform on par with diffusion models in the domain of image synthesis. In this work, we introduce MARS, a novel framework for T2I generation th
Externí odkaz:
http://arxiv.org/abs/2407.07614
Despite their impressive capabilities, large language models (LLMs) often face challenges such as temporal misalignment and generating hallucinatory content. Enhancing LLMs with retrieval mechanisms to fetch relevant information from external sources
Externí odkaz:
http://arxiv.org/abs/2406.13050
Recent advancements in text-to-image generation models have dramatically enhanced the generation of photorealistic images from textual prompts, leading to an increased interest in personalized text-to-image applications, particularly in multi-subject
Externí odkaz:
http://arxiv.org/abs/2406.07209