Zobrazeno 61 - 70
of 9 768
pro vyhledávání: '"Wang, Xiaofeng"'
Self-supervised learning (SSL) is a prevalent approach for encoding data representations. Using a pre-trained SSL image encoder and subsequently training a downstream classifier, impressive performance can be achieved on various tasks with very littl
Externí odkaz:
http://arxiv.org/abs/2303.09079
Although multidimensional simulations have investigated the processes of double WD mergers, post-merger evolution only focused on the carbon-oxygen (CO) WD or helium (He) WD merger remnants. In this work, we investigate for the first time the evoluti
Externí odkaz:
http://arxiv.org/abs/2303.05083
Autor:
Wang, Xiaofeng, Zhu, Zheng, Xu, Wenbo, Zhang, Yunpeng, Wei, Yi, Chi, Xu, Ye, Yun, Du, Dalong, Lu, Jiwen, Wang, Xingang
Semantic occupancy perception is essential for autonomous driving, as automated vehicles require a fine-grained perception of the 3D urban structures. However, existing relevant benchmarks lack diversity in urban scenes, and they only evaluate front-
Externí odkaz:
http://arxiv.org/abs/2303.03991
Autor:
Li, Jianhui, Fuchs, Shai, Zhang, Jiantao, Wellford, Sebastian, Schuldiner, Maya, Wang, Xiaofeng
Positive-strand RNAviruses invariably assemble their viral replication complexes (VRCs) by remodeling host intracellular membranes. How viral replication proteins are targeted to specific organelle membranes to initiate VRC assembly remains elusive.
Externí odkaz:
http://hdl.handle.net/10150/622581
http://arizona.openrepository.com/arizona/handle/10150/622581
http://arizona.openrepository.com/arizona/handle/10150/622581
Autor:
Liu, Qichun, Lin, Jie, Wang, Xiaofeng, Gu, Shenghong, Shi, Jianrong, Zhang, Liyun, Xi, Gaobo, Mo, Jun, Cai, Yongzhi, Chen, Liyang, Chen, Zhihao, Guo, Fangzhou, Jiang, Xiaojun, Li, Gaici, Li, Wenxiong, Lin, Han, Lin, Weili, Liu, Jialian, Miao, Cheng, Ma, Xiaoran, Peng, Haowei, Xiang, Danfeng, Yan, Shengyu, Zhang, Jicheng, Zhang, Xinhan
Publikováno v:
Mon. Not. Roy. Astron. Soc. 523, 2193-2208 (2023)
Tsinghua University-Ma Huateng Telescopes for Survey (TMTS) aims to detect fast-evolving transients in the Universe, which has led to the discovery of thousands of short-period variables and eclipsing binaries since 2020. In this paper, we present th
Externí odkaz:
http://arxiv.org/abs/2302.00197
Autor:
Chu, Xintao, Liu, Jianping, Wang, Jian, Wang, Xiaofeng, Wang, Yingfei, Wang, Meng, Gu, Xunxun
As the number of open and shared scientific datasets on the Internet increases under the open science movement, efficiently retrieving these datasets is a crucial task in information retrieval (IR) research. In recent years, the development of large
Externí odkaz:
http://arxiv.org/abs/2301.12700
Most existing methods to detect backdoored machine learning (ML) models take one of the two approaches: trigger inversion (aka. reverse engineer) and weight analysis (aka. model diagnosis). In particular, the gradient-based trigger inversion is consi
Externí odkaz:
http://arxiv.org/abs/2301.12318
Autor:
Xiang, Danfeng, Wang, Xiaofeng, Zhang, Xinghan, Sai, Hanna, Zhang, Jujia, Brink, Thomas G., Filippenko, Alexei V., Mo, Jun, Zhang, Tianmeng, Chen, Zhihao, Dessart, Luc, Li, Zhitong, Yan, Shengyu, Blinnikov, Sergei I., Rui, Liming, Baron, E., DerKacy, J. M.
We present extensive optical/ultraviolet observations and modelling analysis for the nearby SN 1987A-like peculiar Type II supernova (SN) 2018hna. Both photometry and spectroscopy covered phases extending to $>$500 days after the explosion, making it
Externí odkaz:
http://arxiv.org/abs/2301.09953
Constructing click models and extracting implicit relevance feedback information from the interaction between users and search engines are very important to improve the ranking of search results. Using neural network to model users' click behaviors h
Externí odkaz:
http://arxiv.org/abs/2301.07854
Autor:
Wang, Xiaofeng, Zhu, Zheng, Zhang, Yunpeng, Huang, Guan, Ye, Yun, Xu, Wenbo, Chen, Ziwei, Wang, Xingang
In recent years, vision-centric perception has flourished in various autonomous driving tasks, including 3D detection, semantic map construction, motion forecasting, and depth estimation. Nevertheless, the latency of vision-centric approaches is too
Externí odkaz:
http://arxiv.org/abs/2212.08914