Zobrazeno 1 - 10
of 365
pro vyhledávání: '"Wang Jinghao"'
Publikováno v:
SHS Web of Conferences, Vol 171, p 03018 (2023)
As the issue of aging society gradually emerges, it has attracted widespread attention from society. Among them, the issue of the demand of some elderly groups for online course learning has also caught the attention of the authors. The aim of this t
Externí odkaz:
https://doaj.org/article/92d1cffb677247689cc1604ed6c7fc6a
Given a graph G, a budget k and a misinformation seed set S, Influence Minimization (IMIN) via node blocking aims to find a set of k nodes to be blocked such that the expected spread of S is minimized. This problem finds important applications in sup
Externí odkaz:
http://arxiv.org/abs/2405.12871
Conditional diffusion models can create unseen images in various settings, aiding image interpolation. Interpolation in latent spaces is well-studied, but interpolation with specific conditions like text or poses is less understood. Simple approaches
Externí odkaz:
http://arxiv.org/abs/2403.17924
Publikováno v:
Opto-Electronic Advances, Vol 1, Iss 7, Pp 180003-1-180003-7 (2018)
In this work, an all-fiber-based mode converter for generating orbital angular momentum (OAM) beams is proposed and numerically investigated. Its structure is constructed by cascading a mode selective coupler (MSC) and an inner elliptical cladding fi
Externí odkaz:
https://doaj.org/article/391b8574b0ce4f569de7d6a0dff3043d
Panoptic Scene Graph (PSG) is a challenging task in Scene Graph Generation (SGG) that aims to create a more comprehensive scene graph representation using panoptic segmentation instead of boxes. Compared to SGG, PSG has several challenging problems:
Externí odkaz:
http://arxiv.org/abs/2307.08699
Autor:
Li, Bo, Zhang, Yuanhan, Chen, Liangyu, Wang, Jinghao, Pu, Fanyi, Yang, Jingkang, Li, Chunyuan, Liu, Ziwei
High-quality instructions and responses are essential for the zero-shot performance of large language models on interactive natural language tasks. For interactive vision-language tasks involving intricate visual scenes, a large quantity of diverse a
Externí odkaz:
http://arxiv.org/abs/2306.05425
Large language models (LLMs) have demonstrated significant universal capabilities as few/zero-shot learners in various tasks due to their pre-training on vast amounts of text data, as exemplified by GPT-3, which boosted to InstrctGPT and ChatGPT, eff
Externí odkaz:
http://arxiv.org/abs/2305.03726
Autor:
Pan, Ruilin, Zhang, Yiming, Cheng, Yanmei, Wu, Zelin, Liu, Jin, Chen, Zihang, Wang, Jinghao, Zhang, Xiaofang, Wang, Huajun, Feng, Shanshan, Zheng, Xiaofei
Publikováno v:
In Gene 20 December 2024 930
Publikováno v:
In Journal of Energy Storage 15 December 2024 104 Part A
Autor:
Yang, Yuxuan, Chen, Yanchun, Feng, Dongge, Wu, Huixing, Long, Changrui, Zhang, Jianping, Wang, Jinghao, Zhou, Benjie, Li, Shasha, Xiang, Shijian
Publikováno v:
In Journal of Ethnopharmacology 15 November 2024 334