Zobrazeno 1 - 10
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pro vyhledávání: '"Chen, JiaLin"'
Autor:
Yang, Menglin, Chen, Jialin, Zhang, Yifei, Liu, Jiahong, Zhang, Jiasheng, Ma, Qiyao, Verma, Harshit, Zhang, Qianru, Zhou, Min, King, Irwin, Ying, Rex
The rapid advancement of foundation modelslarge-scale neural networks trained on diverse, extensive datasetshas revolutionized artificial intelligence, enabling unprecedented advancements across domains such as natural language processing, computer v
Externí odkaz:
http://arxiv.org/abs/2501.00365
Autor:
Zhou, HongShuai, Zhang, JinHao, Bai, BenFeng, Mei, XiRan, Chen, KunPeng, Hao, XiaoPeng, Song, Jian, Guo, GuoRui, Chen, JiaLin, Tian, Tian, Shen, WanJie, Zhong, ZiHeng, Liu, JiaYao, Zhao, JiHong, Sun, HongBo
The stability and emissivity of the online calibration blackbody used in high-precision infrared remote sensing detectors in extreme environments are the primary limiting factors for their measurement accuracy. Due to the limitations of microstructur
Externí odkaz:
http://arxiv.org/abs/2412.20153
Autor:
Zhang, Jiasheng, Chen, Jialin, Maatouk, Ali, Bui, Ngoc, Xie, Qianqian, Tassiulas, Leandros, Shao, Jie, Xu, Hua, Ying, Rex
With the advent of large language models (LLMs), managing scientific literature via LLMs has become a promising direction of research. However, existing approaches often overlook the rich structural and semantic relevance among scientific literature,
Externí odkaz:
http://arxiv.org/abs/2409.12177
Autor:
Zhang, Jiasheng, Chen, Jialin, Yang, Menglin, Feng, Aosong, Liang, Shuang, Shao, Jie, Ying, Rex
Dynamic text-attributed graphs (DyTAGs) are prevalent in various real-world scenarios, where each node and edge are associated with text descriptions, and both the graph structure and text descriptions evolve over time. Despite their broad applicabil
Externí odkaz:
http://arxiv.org/abs/2406.12072
Autor:
Teng, Weilin, Su, Yingna, Liu, Rui, Chen, Jialin, Liu, Yanjie, Dai, Jun, Cao, Wenda, Shen, Jinhua, Ji, Haisheng
Minifilaments are widespread small-scale structures in the solar atmosphere. To better understand their formation and eruption mechanisms, we investigate the entire life of a sigmoidal minifilament located below a large quiescent filament observed by
Externí odkaz:
http://arxiv.org/abs/2405.17303
Autor:
Chen, Jialin, Lenssen, Jan Eric, Feng, Aosong, Hu, Weihua, Fey, Matthias, Tassiulas, Leandros, Leskovec, Jure, Ying, Rex
Time series forecasting has attracted significant attention in recent decades. Previous studies have demonstrated that the Channel-Independent (CI) strategy improves forecasting performance by treating different channels individually, while it leads
Externí odkaz:
http://arxiv.org/abs/2404.01340
Considering the noise level limit, one crucial aspect for quantum machine learning is to design a high-performing variational quantum circuit architecture with small number of quantum gates. As the classical neural architecture search (NAS), quantum
Externí odkaz:
http://arxiv.org/abs/2403.04268
Autor:
Feng, Aosong, Chen, Jialin, Garza, Juan, Berry, Brooklyn, Salazar, Francisco, Gao, Yifeng, Ying, Rex, Tassiulas, Leandros
The high-resolution time series classification problem is essential due to the increasing availability of detailed temporal data in various domains. To tackle this challenge effectively, it is imperative that the state-of-the-art attention model is s
Externí odkaz:
http://arxiv.org/abs/2403.04882
Publikováno v:
Phys. Rev. B 110, L041111 (2024)
The newly discovered high-$T_c$ nickelate superconductor La$_3$Ni$_2$O$_7$ has generated significant research interest. To uncover the pairing mechanism, it is essential to investigate the intriguing interplay between the two $e_g$, i.e., $d_{x^2-y^2
Externí odkaz:
http://arxiv.org/abs/2311.05491
Graph convolutions have been a pivotal element in learning graph representations. However, recursively aggregating neighboring information with graph convolutions leads to indistinguishable node features in deep layers, which is known as the over-smo
Externí odkaz:
http://arxiv.org/abs/2311.05767