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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
Temporal graph clustering is a complex task that involves discovering meaningful structures in dynamic graphs where relationships and entities change over time. Existing methods typically require centralized data collection, which poses significant p
Externí odkaz:
http://arxiv.org/abs/2410.12343
Autor:
Guo, Lingbing, Bo, Zhongpu, Chen, Zhuo, Zhang, Yichi, Chen, Jiaoyan, Lan, Yarong, Sun, Mengshu, Zhang, Zhiqiang, Luo, Yangyifei, Li, Qian, Zhang, Qiang, Zhang, Wen, Chen, Huajun
Large language models (LLMs) have significantly advanced performance across a spectrum of natural language processing (NLP) tasks. Yet, their application to knowledge graphs (KGs), which describe facts in the form of triplets and allow minimal halluc
Externí odkaz:
http://arxiv.org/abs/2410.07526
Text-to-SQL translates natural language queries into Structured Query Language (SQL) commands, enabling users to interact with databases using natural language. Essentially, the text-to-SQL task is a text generation task, and its development is prima
Externí odkaz:
http://arxiv.org/abs/2410.06011
Autor:
Feng, Ningya, Pan, Junwei, Wu, Jialong, Chen, Baixu, Wang, Ximei, Li, Qian, Hu, Xian, Jiang, Jie, Long, Mingsheng
Lifelong user behavior sequences, comprising up to tens of thousands of history behaviors, are crucial for capturing user interests and predicting user responses in modern recommendation systems. A two-stage paradigm is typically adopted to handle th
Externí odkaz:
http://arxiv.org/abs/2410.02604
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