Zobrazeno 1 - 10
of 21 887
pro vyhledávání: '"zhu, Wei"'
Autor:
Zhu, Wei, Liu, Yicheng, He, Yuping, Liao, Tangfei, Zheng, Kang, Xu, Xiaoqiu, Wang, Tao, Lu, Tong
In the fields of computer vision and robotics, accurate pixel-level correspondences are essential for enabling advanced tasks such as structure-from-motion and simultaneous localization and mapping. Recent correspondence pruning methods usually focus
Externí odkaz:
http://arxiv.org/abs/2408.08134
Pion condensation is a theoretical prediction, where pions form a special state of matter under certain extreme conditions in heavy ion collisions or neutron stars. However, there is currently no solid experimental evidence confirming the existence o
Externí odkaz:
http://arxiv.org/abs/2408.01879
Autor:
Rybicki, Krzysztof A., Shvartzvald, Yossi, Yee, Jennifer C., Novati, Sebastiano Calchi, Ofek, Eran O., Bond, Ian A., Beichman, Charles, Bryden, Geoff, Carey, Sean, Henderson, Calen, Zhu, Wei, Fausnaugh, Michael M., Wibking, Benjamin, Udalski, Andrzej, Poleski, Radek, Mróz, Przemek, Szymański, Michal K., Soszyński, Igor, Pietrukowicz, Paweł, Kozłowski, Szymon, Skowron, Jan, Ulaczyk, Krzysztof, Iwanek, Patryk, Wrona, Marcin, Ryu, Yoon-Hyun, Albrow, Michael D., Chung, Sun-Ju, Gould, Andrew, Han, Cheongho, Hwang, Kyu-Ha, Jung, Youn Kil, Shin, In-Gu, Yang, Hongjing, Zang, Weicheng, Cha, Sang-Mok, Kim, Dong-Jin, Kim, Hyoun-Woo, Kim, Seung-Lee, Lee, Chung-Uk, Lee, Dong-Joo, Lee, Yongseok, Park, Byeong-Gon, Pogge, Richard W., Abe, Fumio, Barry, Richard, Bennett, David P., Bhattacharya, Aparna, Fukui, Akihiko, Hamada, Ryusei, Hamada, Shunya, Hamasaki, Naoto, Hirao, Yuki, Silva, Stela Ishitani, Itow, Yoshitaka, Kirikawa, Rintaro, Koshimoto, Naoki, Matsubara, Yutaka, Miyazaki, Shota, Muraki, Yasushi, Nagai, Tutumi, NUNOTA, Kansuke, Olmschenk, Greg, Ranc, Clement, Rattenbury, Nicholas J., Satoh, Yuki K., Sumi, Takahiro, Suzuki, Daisuke, Tristram, Paul . J., Vandorou, Aikaterini, Yama, Hibiki, Wyrzykowski, Lukasz, Howil, Kornel, Kruszyńska, Katarzyna
In the pursuit of understanding the population of stellar remnants within the Milky Way, we analyze the sample of $\sim 950$ microlensing events observed by the Spitzer Space Telescope between 2014 and 2019. In this study we focus on a sub-sample of
Externí odkaz:
http://arxiv.org/abs/2407.13740
We develop analytical tools and perform three-body simulations to investigate the orbital evolution and dynamical stability of binary planets within star clusters. Our analytical results show that the orbital stability of a planetary-mass binary agai
Externí odkaz:
http://arxiv.org/abs/2407.04261
Autor:
Ding, Jing, Xiang, Hanxiao, Hua, Jiannan, Zhou, Wenqiang, Liu, Naitian, Zhang, Le, Xin, Na, Watanabe, Kenji, Taniguchi, Takashi, Zhu, Wei, Xu, Shuigang
A Chern insulator hosts topologically protected chiral edge currents with quantized conductance characterized by its Chern number. Switching the chirality of the Chern insulator, namely, the direction of the edge current, is highly challenging due to
Externí odkaz:
http://arxiv.org/abs/2406.14289
Autor:
Liu, Quanyi, Zhu, Wei, Zhou, Yifan, Hu, Zhecheng, Lin, Zitao, Dai, Fei, Masuda, Kento, Wang, Sharon X.
Planets may be rotationally flattened, and their oblateness thus provide useful information on their formation and evolution. Here we develop a new algorithm that can compute the transit light curve due to an oblate planet very efficiently and use it
Externí odkaz:
http://arxiv.org/abs/2406.11644
The moment quantities associated with the nonlinear Schrodinger equation offer important insights towards the evolution dynamics of such dispersive wave partial differential equation (PDE) models. The effective dynamics of the moment quantities is am
Externí odkaz:
http://arxiv.org/abs/2406.05097
Autor:
Yue, Wenjing, Wang, Xiaoling, Zhu, Wei, Guan, Ming, Zheng, Huanran, Wang, Pengfei, Sun, Changzhi, Ma, Xin
Large language models (LLMs) have performed remarkably well in various natural language processing tasks by benchmarking, including in the Western medical domain. However, the professional evaluation benchmarks for LLMs have yet to be covered in the
Externí odkaz:
http://arxiv.org/abs/2406.01126
Soft prompt tuning is a widely studied parameter-efficient fine-tuning method. However, it has a clear drawback: many soft tokens must be inserted into the input sequences to guarantee downstream performance. As a result, soft prompt tuning is less c
Externí odkaz:
http://arxiv.org/abs/2405.18203
We present a novel method for training score-based generative models which uses nonlinear noising dynamics to improve learning of structured distributions. Generalizing to a nonlinear drift allows for additional structure to be incorporated into the
Externí odkaz:
http://arxiv.org/abs/2405.15625