Zobrazeno 1 - 10
of 6 906
pro vyhledávání: '"Dong,Hao"'
Current efforts to learn scalable policies in robotic manipulation primarily fall into two categories: one focuses on "action," which involves behavior cloning from extensive collections of robotic data, while the other emphasizes "vision," enhancing
Externí odkaz:
http://arxiv.org/abs/2412.15109
We employ vacuum-to-$B$ meson correlation functions with interpolating currents $\bar{q}'\slashed{n}q$ and $\bar{q}'\slashed{n}\gamma_{\perp}q$ to construct light-cone sum rules (LCSR) for calculating the $B\to K^*$ form factors in the large recoil r
Externí odkaz:
http://arxiv.org/abs/2412.13084
Autor:
Kim, Taewhan, Bae, Hojin, Li, Zeming, Li, Xiaoqi, Ponomarenko, Iaroslav, Wu, Ruihai, Dong, Hao
Visual actionable affordance has emerged as a transformative approach in robotics, focusing on perceiving interaction areas prior to manipulation. Traditional methods rely on pixel sampling to identify successful interaction samples or processing poi
Externí odkaz:
http://arxiv.org/abs/2412.10050
Recently, generative pre-training based models have demonstrated remarkable results on Aspect-based Sentiment Analysis (ABSA) task. However, previous works overemphasize crafting various templates to paraphrase training targets for enhanced decoding,
Externí odkaz:
http://arxiv.org/abs/2412.00763
Independent Optical Frequency Combs Powered 546 km Field Test of Twin-Field Quantum Key Distribution
Autor:
Zhou, Lai, Lin, Jinping, Ge, Chengfang, Fan, Yuanbin, Yuan, Zhiliang, Dong, Hao, Liu, Yang, Ma, Di, Chen, Jiu-Peng, Jiang, Cong, Wang, Xiang-Bin, You, Li-Xing, Zhang, Qiang, Pan, Jian-Wei
Owing to its repeater-like rate-loss scaling, twin-field quantum key distribution (TF-QKD) has repeatedly exhibited in laboratory its superiority for secure communication over record fiber lengths. Field trials pose a new set of challenges however, w
Externí odkaz:
http://arxiv.org/abs/2411.13943
Autor:
Dong, Hao-Wen
Generative AI has been transforming the way we interact with technology and consume content. In the next decade, AI technology will reshape how we create audio content in various media, including music, theater, films, games, podcasts, and short vide
Externí odkaz:
http://arxiv.org/abs/2411.14627
Open-set Domain Adaptation (OSDA) aims to adapt a model from a labeled source domain to an unlabeled target domain, where novel classes - also referred to as target-private unknown classes - are present. Source-free Open-set Domain Adaptation (SF-OSD
Externí odkaz:
http://arxiv.org/abs/2411.12558
Variable Subset Forecasting (VSF) refers to a unique scenario in multivariate time series forecasting, where available variables in the inference phase are only a subset of the variables in the training phase. VSF presents significant challenges as t
Externí odkaz:
http://arxiv.org/abs/2411.09928
Out-of-distribution (OOD) detection is essential for ensuring the robustness of machine learning models by identifying samples that deviate from the training distribution. While traditional OOD detection has primarily focused on single-modality input
Externí odkaz:
http://arxiv.org/abs/2411.08227
Imitation learning, e.g., diffusion policy, has been proven effective in various robotic manipulation tasks. However, extensive demonstrations are required for policy robustness and generalization. To reduce the demonstration reliance, we leverage sp
Externí odkaz:
http://arxiv.org/abs/2411.03990