Zobrazeno 1 - 10
of 2 606
pro vyhledávání: '"Wang, ShiYu"'
The growth of recommender systems (RecSys) is driven by digitization and the need for personalized content in areas such as e-commerce and video streaming. The content in these systems often changes rapidly and therefore they constantly face the ongo
Externí odkaz:
http://arxiv.org/abs/2411.09065
By pretraining on trillions of tokens, an LLM gains the capability of text generation. However, to enhance its utility and reduce potential harm, SFT and alignment are applied sequentially to the pretrained model. Due to the differing nature and obje
Externí odkaz:
http://arxiv.org/abs/2410.21438
Channel knowledge map (CKM) is a novel technique for achieving environment awareness, and thereby improving the communication and sensing performance for wireless systems. A fundamental problem associated with CKM is how to construct a complete CKM t
Externí odkaz:
http://arxiv.org/abs/2411.08887
Autor:
Wang, Shiyu, Li, Jiawei, Shi, Xiaoming, Ye, Zhou, Mo, Baichuan, Lin, Wenze, Ju, Shengtong, Chu, Zhixuan, Jin, Ming
Time series analysis plays a critical role in numerous applications, supporting tasks such as forecasting, classification, anomaly detection, and imputation. In this work, we present the time series pattern machine (TSPM), a model designed to excel i
Externí odkaz:
http://arxiv.org/abs/2410.16032
Autor:
Li, Yamin, Lou, Ange, Xu, Ziyuan, Zhang, Shengchao, Wang, Shiyu, Englot, Dario J., Kolouri, Soheil, Moyer, Daniel, Bayrak, Roza G., Chang, Catie
Functional magnetic resonance imaging (fMRI) is an indispensable tool in modern neuroscience, providing a non-invasive window into whole-brain dynamics at millimeter-scale spatial resolution. However, fMRI is constrained by issues such as high operat
Externí odkaz:
http://arxiv.org/abs/2410.05341
Deep learning for time series forecasting has seen significant advancements over the past decades. However, despite the success of large-scale pre-training in language and vision domains, pre-trained time series models remain limited in scale and ope
Externí odkaz:
http://arxiv.org/abs/2409.16040
Autor:
Spring, Peter A., Milanovic, Luka, Sunada, Yoshiki, Wang, Shiyu, van Loo, Arjan F., Tamate, Shuhei, Nakamura, Yasunobu
Fast and accurate qubit measurement remains a critical challenge on the path to fault-tolerant quantum computing. In superconducting quantum circuits, fast qubit measurement has been achieved using a dispersively coupled resonator with a large extern
Externí odkaz:
http://arxiv.org/abs/2409.04967
Interactions between the brain and body are of fundamental importance for human behavior and health. Functional magnetic resonance imaging (fMRI) captures whole-brain activity noninvasively, and modeling how fMRI signals interact with physiological d
Externí odkaz:
http://arxiv.org/abs/2408.14453
Autor:
An, Wei, Bi, Xiao, Chen, Guanting, Chen, Shanhuang, Deng, Chengqi, Ding, Honghui, Dong, Kai, Du, Qiushi, Gao, Wenjun, Guan, Kang, Guo, Jianzhong, Guo, Yongqiang, Fu, Zhe, He, Ying, Huang, Panpan, Li, Jiashi, Liang, Wenfeng, Liu, Xiaodong, Liu, Xin, Liu, Yiyuan, Liu, Yuxuan, Lu, Shanghao, Lu, Xuan, Nie, Xiaotao, Pei, Tian, Qiu, Junjie, Qu, Hui, Ren, Zehui, Sha, Zhangli, Su, Xuecheng, Sun, Xiaowen, Tan, Yixuan, Tang, Minghui, Wang, Shiyu, Wang, Yaohui, Wang, Yongji, Xie, Ziwei, Xiong, Yiliang, Xu, Yanhong, Ye, Shengfeng, Yu, Shuiping, Zha, Yukun, Zhang, Liyue, Zhang, Haowei, Zhang, Mingchuan, Zhang, Wentao, Zhang, Yichao, Zhao, Chenggang, Zhao, Yao, Zhou, Shangyan, Zhou, Shunfeng, Zou, Yuheng
The rapid progress in Deep Learning (DL) and Large Language Models (LLMs) has exponentially increased demands of computational power and bandwidth. This, combined with the high costs of faster computing chips and interconnects, has significantly infl
Externí odkaz:
http://arxiv.org/abs/2408.14158
The surging demand for cloud computing resources, driven by the rapid growth of sophisticated large-scale models and data centers, underscores the critical importance of efficient and adaptive resource allocation. As major tech enterprises deploy mas
Externí odkaz:
http://arxiv.org/abs/2408.01000