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pro vyhledávání: '"Tian, Ling"'
Temporal Knowledge Graph (TKG) reasoning focuses on predicting events through historical information within snapshots distributed on a timeline. Existing studies mainly concentrate on two perspectives of leveraging the history of TKGs, including capt
Externí odkaz:
http://arxiv.org/abs/2405.10621
Temporal Knowledge Graph (TKG) reasoning that forecasts future events based on historical snapshots distributed over timestamps is denoted as extrapolation and has gained significant attention. Owing to its extreme versatility and variation in spatia
Externí odkaz:
http://arxiv.org/abs/2312.03004
Continuous-time long-term event prediction plays an important role in many application scenarios. Most existing works rely on autoregressive frameworks to predict event sequences, which suffer from error accumulation, thus compromising prediction qua
Externí odkaz:
http://arxiv.org/abs/2311.01033
Event prediction in the continuous-time domain is a crucial but rather difficult task. Temporal point process (TPP) learning models have shown great advantages in this area. Existing models mainly focus on encoding global contexts of events using tec
Externí odkaz:
http://arxiv.org/abs/2306.14072
Infrared imaging systems have a vast array of potential applications in pedestrian detection and autonomous driving, and their safety performance is of great concern. However, few studies have explored the safety of infrared imaging systems in real-w
Externí odkaz:
http://arxiv.org/abs/2304.10712
Fake news detection aims to detect fake news widely spreading on social media platforms, which can negatively influence the public and the government. Many approaches have been developed to exploit relevant information from news images, text, or vide
Externí odkaz:
http://arxiv.org/abs/2304.09421
Autor:
Yan, Zhao-Yi, Hou, Zhan, Xue, Kan-Hao, Lu, Tian, Zhao, Ruiting, Xue, Junying, Wu, Fan, Shao, Minghao, Yan, Jianlan, Yan, Anzhi, Wang, Zhenze, Shen, Penghui, Zhao, Mingyue, Miao, Xiangshui, Lin, Zhaoyang, Liu, Houfang, Tian, He, Yang, Yi, Ren, Tian-Ling
Two-dimensional material-based field effect transistors (2DM-FETs) are playing a revolutionary role in electronic devices. However, after years of development, no device model can match the Pao-Sah model for standard silicon-based transistors in term
Externí odkaz:
http://arxiv.org/abs/2303.11107
Autor:
Yan, Zhao-Yi, Hou, Zhan, Wu, Fan, Zhao, Ruiting, Yan, Jianlan, Yan, Anzhi, Wang, Zhenze, Xue, Kan-Hao, Liu, Houfang, Tian, He, Yang, Yi, Ren, Tian-Ling
Two-dimensional materials-based field-effect transistors (2DM-FETs) exhibit both ambipolar and unipolar transport types. To physically and compactly cover both cases, we put forward a quasi-Fermi-level phase space (QFLPS) approach to model the ambipo
Externí odkaz:
http://arxiv.org/abs/2303.06926
Spacecraft faces various situations when carrying out exploration missions in complex space, thus monitoring the anomaly status of spacecraft is crucial to the development of \textcolor{blue}{the} aerospace industry. The time series telemetry data ge
Externí odkaz:
http://arxiv.org/abs/2303.06879
Relation extraction (RE) has recently moved from the sentence-level to document-level, which requires aggregating document information and using entities and mentions for reasoning. Existing works put entity nodes and mention nodes with similar repre
Externí odkaz:
http://arxiv.org/abs/2303.03912