Zobrazeno 1 - 10
of 4 423
pro vyhledávání: '"Tian, Ling"'
Temporal Knowledge Graphs (TKGs) incorporate temporal information to reflect the dynamic structural knowledge and evolutionary patterns of real-world facts. Nevertheless, TKGs are still limited in downstream applications due to the problem of incompl
Externí odkaz:
http://arxiv.org/abs/2408.15293
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
Learning to recognize novel concepts from just a few image samples is very challenging as the learned model is easily overfitted on the few data and results in poor generalizability. One promising but underexplored solution is to compensate the novel
Externí odkaz:
http://arxiv.org/abs/2401.07061
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
Autor:
Jing Chen, Ming-Yuan Sun, Zhen-Hua Wang, Zheng Zhang, Kai Zhang, Shuai Wang, Yu Zhang, Xiaoming Wu, Tian-Ling Ren, Hong Liu, Lin Han
Publikováno v:
Nano-Micro Letters, Vol 16, Iss 1, Pp 1-55 (2024)
Highlights The review provides a comprehensive summary of performance limits of the single two-dimensional transition metal dichalcogenide (2D-TMD) transistor. The review details the two logical expressions of the single 2D-TMD logic transistor, incl
Externí odkaz:
https://doaj.org/article/006fd852223143d28fc0faf66d3d4905
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