Zobrazeno 1 - 10
of 37 666
pro vyhledávání: '"Li, Qian"'
Autor:
Li, Qian
This dissertation introduces a hierarchical optimization framework for power converter-based energy management systems, with a primary focus on weight minimization. Emphasizing modularity and scalability, the research systematically tackles the chall
Externí odkaz:
https://hdl.handle.net/10919/119388
This paper presents a distributed algorithm in the CONGEST model that achieves a $(1+\epsilon)$-approximation for row-sparse fractional covering problems (RS-FCP) and the dual column-sparse fraction packing problems (CS-FPP). Compared with the best-k
Externí odkaz:
http://arxiv.org/abs/2409.16168
Autor:
Liu, Jiayu, Zhan, Jie, Li, Tongrui, Liu, Jishan, Cheng, Shufan, Shi, Yuming, Deng, Liwei, Zhang, Meng, Li, Chihao, Ding, Jianyang, Jiang, Qi, Ye, Mao, Liu, Zhengtai, Jiang, Zhicheng, Wang, Siyu, Li, Qian, Xie, Yanwu, Wang, Yilin, Qiao, Shan, Wen, Jinsheng, Sun, Yan, Shen, Dawei
Rutile RuO$_2$ has been posited as a potential $d$-wave altermagnetism candidate, with a predicted significant spin splitting up to 1.4 eV. Despite accumulating theoretical predictions and transport measurements, direct spectroscopic observation of s
Externí odkaz:
http://arxiv.org/abs/2409.13504
Reconstructing endoscopic videos is crucial for high-fidelity visualization and the efficiency of surgical operations. Despite the importance, existing 3D reconstruction methods encounter several challenges, including stringent demands for accuracy,
Externí odkaz:
http://arxiv.org/abs/2409.01003
Autor:
Peng, Kun, Jiang, Lei, Li, Qian, Li, Haoran, Yu, Xiaoyan, Sun, Li, Sun, Shuo, Bi, Yanxian, Peng, Hao
Cross-domain Aspect Sentiment Triplet Extraction (ASTE) aims to extract fine-grained sentiment elements from target domain sentences by leveraging the knowledge acquired from the source domain. Due to the absence of labeled data in the target domain,
Externí odkaz:
http://arxiv.org/abs/2407.21052
Autor:
Yang, Zhiwei, Wei, Yuecen, Li, Haoran, Li, Qian, Jiang, Lei, Sun, Li, Yu, Xiaoyan, Hu, Chunming, Peng, Hao
Social event detection refers to extracting relevant message clusters from social media data streams to represent specific events in the real world. Social event detection is important in numerous areas, such as opinion analysis, social safety, and d
Externí odkaz:
http://arxiv.org/abs/2407.18274
Autor:
Yu, Jiawei, Jia, Guihao, Li, Qian, Wang, Yuyang, Xiao, Kebin, Ju, Yongkang, Zhang, Hongyun, Hu, Zhiqiang, Guo, Yunkai, Lian, Biao, Tang, Peizhe, Zhou, Shuyun, Xue, Qi-Kun, Li, Wei
In twisted bilayer graphene (TBG) devices, local strains often coexist and entangle with the twist-angle dependent moir\'e superlattice, both of which can significantly affect the electronic properties of TBG. Here, using low-temperature scanning tun
Externí odkaz:
http://arxiv.org/abs/2406.20040
The seminal work by Impagliazzo and Rudich (STOC'89) demonstrated the impossibility of constructing classical public key encryption (PKE) from one-way functions (OWF) in a black-box manner. However, the question remains: can quantum PKE (QPKE) be con
Externí odkaz:
http://arxiv.org/abs/2405.20295
Tissue deformation poses a key challenge for accurate surgical scene reconstruction. Despite yielding high reconstruction quality, existing methods suffer from slow rendering speeds and long training times, limiting their intraoperative applicability
Externí odkaz:
http://arxiv.org/abs/2405.17835
Suppose ${\bf b}=\{b_n\}_{n=1}^{\infty}$ is a sequence of integers bigger than 1 and ${\bf D}=\{{\mathcal D}_{n}\}_{n=1}^{\infty}$ is a sequence of consecutive digit sets. Let $\mu_{{\bf b},{\bf D}}$ be the Cantor-Moran measure defined by \begin{eqna
Externí odkaz:
http://arxiv.org/abs/2405.12738