Zobrazeno 1 - 10
of 1 367
pro vyhledávání: '"Wang, Yubin"'
In this work, we present a reward-driven automated curriculum reinforcement learning approach for interaction-aware self-driving at unsignalized intersections, taking into account the uncertainties associated with surrounding vehicles (SVs). These un
Externí odkaz:
http://arxiv.org/abs/2403.13674
Autor:
Liu, Xiaoqiang, Wang, Yubin, Huang, Zicheng, Xu, Boming, Zeng, Yilin, Chen, Xinqi, Wang, Zilong, Yang, Enning, Lei, Xiaoxuan, Huang, Yisen, Liu, Xiaobo
Background: Colonoscopy, a crucial diagnostic tool in gastroenterology, depends heavily on superior bowel preparation. ChatGPT, a large language model with emergent intelligence which also exhibits potential in medical applications. This study aims t
Externí odkaz:
http://arxiv.org/abs/2402.08492
Autor:
Zhang, Mengdi, Jiao, Xiaotong, Shi, Mingxia, Dong, Wenfeng, Ding, Cui, Wang, Yubin, Qin, Tingxiao, Liu, Haiyun, Wang, Lili, Zhang, Zhenyu, Xue, Qi-Kun, Xiong, Qihua
The interface-enhanced superconductivity in monolayer iron selenide (FeSe) films on SrTiO3 has been actively pursued in the past decade. Although a synergistic effect between interfacial charge transfer and interfacial electron-phonon coupling (EPC)
Externí odkaz:
http://arxiv.org/abs/2401.16163
Prompt learning has become a prevalent strategy for adapting vision-language foundation models to downstream tasks. As large language models (LLMs) have emerged, recent studies have explored the use of category-related descriptions as input to enhanc
Externí odkaz:
http://arxiv.org/abs/2312.06323
Autor:
Song, Jiepeng, Ghosh, Sanjib, Deng, Xinyi, Shang, Qiuyu, Liu, Xinfeng, Wang, Yubin, Gao, Xiaoyue, Yang, Wenkai, Wang, Xianjin, Zhao, Qing, Shi, Kebin, Gao, Peng, Xiong, Qihua, Zhang, Qing
Microcavity exciton polaritons (polaritons) as part-light part-matter quasiparticles, garner significant attention for non-equilibrium Bose-Einstein condensation at elevated temperatures. Recently, halide perovskites have emerged as promising room-te
Externí odkaz:
http://arxiv.org/abs/2311.12381
We develop and demonstrate how to use the GUGA-based MRCISD with Core-Valence Separation approximation (CVS) to compute the core-excited states. Firstly, perform a normal SCF or valence MCSCF calculation to optimize the molecular orbitals. Secondly,
Externí odkaz:
http://arxiv.org/abs/2311.08672
Cloth-Changing Person Re-Identification (CC-ReID) is a common and realistic problem since fashion constantly changes over time and people's aesthetic preferences are not set in stone. While most existing cloth-changing ReID methods focus on learning
Externí odkaz:
http://arxiv.org/abs/2310.18438
Publikováno v:
Proceedings of the IEEE Conference on Intelligent Transportation Systems (2023)
Unsignalized intersections are typically considered as one of the most representative and challenging scenarios for self-driving vehicles. To tackle autonomous driving problems in such scenarios, this paper proposes a curriculum proximal policy optim
Externí odkaz:
http://arxiv.org/abs/2308.16445
In this work, we propose a novel learning-based model predictive control (MPC) framework for motion planning and control of urban self-driving. In this framework, instantaneous references and cost functions of online MPC are learned from raw sensor d
Externí odkaz:
http://arxiv.org/abs/2308.15808
Autor:
Chen, Xiaojuan, Xu, Kang, Qin, Tingxiao, Wang, Yubin, Chen, Yuzhong, Liu, Haiyun, Xiong, Qihua
Bulk photovoltaic effect, which arises from crystal symmetry-driven charge carrier separation, is an intriguing physical phenomenon that has attracted extensive interest in photovoltaic application due to its junction-free photovoltaic and potential
Externí odkaz:
http://arxiv.org/abs/2308.08382