Zobrazeno 1 - 10
of 21 604
pro vyhledávání: '"Xuewen An"'
Autor:
Jinhuan Yang, Daojie Wang, Lei Ma, Xuewen An, Zijing Hu, Huili Zhu, Wanqian Zhang, Kaiwen Chen, Jun Ma, Yan Yang, Lijun Wu, Gang Chen, Yi Wang
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background Literature review have shown that sarcopenia substantially alters the postoperative outcomes after liver resection for malignant tumors. However, these retrospective studies do not distinguish cirrhotic and non-cirrhotic liver can
Externí odkaz:
https://doaj.org/article/64cd3918d0844e21992da5db5dfcd867
Video anomaly detection (VAD) often learns the distribution of normal samples and detects the anomaly through measuring significant deviations, but the undesired generalization may reconstruct a few anomalies thus suppressing the deviations. Meanwhil
Externí odkaz:
http://arxiv.org/abs/2409.17608
Diffusion models have shown excellent performance on various image generation tasks, but the substantial computational costs and huge memory footprint hinder their low-latency applications in real-world scenarios. Quantization is a promising way to c
Externí odkaz:
http://arxiv.org/abs/2409.14307
We introduce a novel method to simultaneously perform variable selection and estimation in the joint frailty model of recurrent and terminal events using the Broken Adaptive Ridge Regression penalty. The BAR penalty can be summarized as an iterativel
Externí odkaz:
http://arxiv.org/abs/2409.00291
Data-enabled predictive control (DeePC) is a data-driven control algorithm that utilizes data matrices to form a non-parametric representation of the underlying system, predicting future behaviors and generating optimal control actions. DeePC typical
Externí odkaz:
http://arxiv.org/abs/2408.16338
K-Sort Arena: Efficient and Reliable Benchmarking for Generative Models via K-wise Human Preferences
The rapid advancement of visual generative models necessitates efficient and reliable evaluation methods. Arena platform, which gathers user votes on model comparisons, can rank models with human preferences. However, traditional Arena methods, while
Externí odkaz:
http://arxiv.org/abs/2408.14468
We consider a dense small cell (DSC) network where multi-antenna small cell base stations (SBSs) transmit data to single-antenna users over a shared frequency band. To enhance capacity, a state-of-the-art technique known as noncoherent joint transmis
Externí odkaz:
http://arxiv.org/abs/2408.12067
All Robots in One: A New Standard and Unified Dataset for Versatile, General-Purpose Embodied Agents
Autor:
Wang, Zhiqiang, Zheng, Hao, Nie, Yunshuang, Xu, Wenjun, Wang, Qingwei, Ye, Hua, Li, Zhe, Zhang, Kaidong, Cheng, Xuewen, Dong, Wanxi, Cai, Chang, Lin, Liang, Zheng, Feng, Liang, Xiaodan
Embodied AI is transforming how AI systems interact with the physical world, yet existing datasets are inadequate for developing versatile, general-purpose agents. These limitations include a lack of standardized formats, insufficient data diversity,
Externí odkaz:
http://arxiv.org/abs/2408.10899
Recent research in the field of Human Activity Recognition has shown that an improvement in prediction performance can be achieved by reducing the number of LSTM layers. However, this kind of enhancement is only significant on monolithic architecture
Externí odkaz:
http://arxiv.org/abs/2407.21282
Autor:
Xiong, Zhijin, Guo, Yuankai, Lin, Wei, Xiu, Hao, Ma, Yuncong, Chen, Xuewen, Liang, Zhaoheng, Ling, Lin, Liu, Tao, Wei, Xiaoming, Yang, Zhongmin
Three-dimensional (3D) dissipative soliton existed in spatiotemporal mode-locked (STML) multimode fiber laser has been demonstrated to be a promising formalism for generating high-energy femtosecond pulses, which unfortunately exhibit diverse spatiot
Externí odkaz:
http://arxiv.org/abs/2407.19482