Zobrazeno 1 - 10
of 156
pro vyhledávání: '"Wu, Jinze"'
Autor:
Hong, Bin, Wu, Jinze, Liu, Jiayu, Ding, Liang, Sha, Jing, Zhang, Kai, Wang, Shijin, Huang, Zhenya
In recent years, the breakthrough of Large Language Models (LLMs) offers new ideas for achieving universal methods on graph data. The common practice of converting graphs into natural language for LLMs, which refers to graph flattening, exhibits good
Externí odkaz:
http://arxiv.org/abs/2409.14880
We measured the full complex ac conductance of two-dimensional granular In/InO$_x$ composites using the mutual inductance technique to explore the transition from a "failed-superconductor-turned anomalous metal" to a robust superconductor. In this sy
Externí odkaz:
http://arxiv.org/abs/2406.00900
Geometry Problem Solving (GPS), which is a classic and challenging math problem, has attracted much attention in recent years. It requires a solver to comprehensively understand both text and diagram, master essential geometry knowledge, and appropri
Externí odkaz:
http://arxiv.org/abs/2405.06232
Cognitive diagnosis models have been widely used in different areas, especially intelligent education, to measure users' proficiency levels on knowledge concepts, based on which users can get personalized instructions. As the measurement is not alway
Externí odkaz:
http://arxiv.org/abs/2403.14676
Multi-legged robots offer enhanced stability in complex terrains, yet autonomously learning natural and robust motions in such environments remains challenging. Drawing inspiration from animals' progressive learning patterns, from simple to complex t
Externí odkaz:
http://arxiv.org/abs/2401.12389
This paper addresses the distributed localization problem for a network of sensors placed in a three-dimensional space, in which sensors are able to perform range measurements, i.e., measure the relative distance between them, and exchange informatio
Externí odkaz:
http://arxiv.org/abs/2309.11411
Learning multiple gaits is non-trivial for legged robots, especially when encountering different terrains and velocity commands. In this work, we present an end-to-end training framework for learning multiple gaits for quadruped robots, tailored to t
Externí odkaz:
http://arxiv.org/abs/2308.03014
Autor:
Ning, Yuting, Liu, Jiayu, Qin, Longhu, Xiao, Tong, Xue, Shangzi, Huang, Zhenya, Liu, Qi, Chen, Enhong, Wu, Jinze
In the Natural Language for Optimization (NL4Opt) NeurIPS 2022 competition, competitors focus on improving the accessibility and usability of optimization solvers, with the aim of subtask 1: recognizing the semantic entities that correspond to the co
Externí odkaz:
http://arxiv.org/abs/2302.04643
In this paper, an adaptive cooperative guidance strategy for the active protection of a target spacecraft trying to evade an interceptor was developed. The target spacecraft performs evasive maneuvers, launching an active defense vehicle to divert th
Externí odkaz:
http://arxiv.org/abs/2212.03093
Autor:
Su, Yu, Han, Ze, Shen, Shuanghong, Yang, Xuejie, Huang, Zhenya, Wu, Jinze, Zhou, Huawei, Liu, Qi
Publikováno v:
In Expert Systems With Applications 15 October 2024 252 Part B
