Zobrazeno 1 - 10
of 20 523
pro vyhledávání: '"An, Zhongyi"'
Autor:
Zhang, Zhongyi, Zhang, Jie, Zhou, Wenbo, Zhou, Xinghui, Guo, Qing, Zhang, Weiming, Zhang, Tianwei, Yu, Nenghai
Face-swapping techniques have advanced rapidly with the evolution of deep learning, leading to widespread use and growing concerns about potential misuse, especially in cases of fraud. While many efforts have focused on detecting swapped face images
Externí odkaz:
http://arxiv.org/abs/2412.08082
Neural operators are aiming at approximating operators mapping between Banach spaces of functions, achieving much success in the field of scientific computing. Compared to certain deep learning-based solvers, such as Physics-Informed Neural Networks
Externí odkaz:
http://arxiv.org/abs/2412.05545
Autor:
Wen, Junjie, Zhu, Minjie, Zhu, Yichen, Tang, Zhibin, Li, Jinming, Zhou, Zhongyi, Li, Chengmeng, Liu, Xiaoyu, Peng, Yaxin, Shen, Chaomin, Feng, Feifei
In this paper, we present DiffusionVLA, a novel framework that seamlessly combines the autoregression model with the diffusion model for learning visuomotor policy. Central to our approach is a next-token prediction objective, enabling the model to r
Externí odkaz:
http://arxiv.org/abs/2412.03293
Autor:
Wu, Kaixin, Ji, Yixin, Chen, Zeyuan, Wang, Qiang, Wang, Cunxiang, Liu, Hong, Ji, Baijun, Xu, Jia, Liu, Zhongyi, Gu, Jinjie, Zhou, Yuan, Mo, Linjian
Relevance modeling between queries and items stands as a pivotal component in commercial search engines, directly affecting the user experience. Given the remarkable achievements of large language models (LLMs) in various natural language processing
Externí odkaz:
http://arxiv.org/abs/2412.01269
Information from related source studies can often enhance the findings of a target study. However, the distribution shift between target and source studies can severely impact the efficiency of knowledge transfer. In the high-dimensional regression s
Externí odkaz:
http://arxiv.org/abs/2411.19933
Autor:
Jiang, Zhongyi, Ansari, Mohammad H.
Introducing flexible native entanglement gates can significantly reduce circuit complexity. We propose a novel gate integrating iswap and cphase operations within a single gate cycle. We theoretically show one possible realization of this gate for su
Externí odkaz:
http://arxiv.org/abs/2411.19398
Autor:
Wang, Hao, Xiao, Erjia, He, Songhuan, Ni, Zhongyi, Zhang, Lingfeng, Zhan, Xiaokun, Cui, Yifei, Liu, Jinguo, Wang, Cheng, Wang, Zhongrui, Xu, Renjing
Due to the high sensitivity of qubits to environmental noise, which leads to decoherence and information loss, active quantum error correction(QEC) is essential. Surface codes represent one of the most promising fault-tolerant QEC schemes, but they r
Externí odkaz:
http://arxiv.org/abs/2411.18090
In domain adaptation, there are two popular paradigms: Unsupervised Domain Adaptation (UDA), which aligns distributions using source data, and Source-Free Domain Adaptation (SFDA), which leverages pre-trained source models without accessing source da
Externí odkaz:
http://arxiv.org/abs/2411.15844
Spiking neuronal networks (SNNs) are widely used in computational neuroscience, from biologically realistic modeling of local cortical networks to phenomenological modeling of the whole brain. Despite their prevalence, a systematic mathematical theor
Externí odkaz:
http://arxiv.org/abs/2411.14801
Autor:
Zhao, Zongyao, Liu, Zhenyu, Jiang, Rui, Li, Zhongyi, Zhang, Xiao-Ping, Tang, Xinke, Dong, Yuhan
Detecting weak targets is one of the main challenges for integrated sensing and communication (ISAC) systems. Sensing and communication suffer from a performance trade-off in ISAC systems. As the communication demand increases, sensing ability, espec
Externí odkaz:
http://arxiv.org/abs/2411.00433