Zobrazeno 1 - 10
of 1 789
pro vyhledávání: '"Chen Zhichao"'
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, for the remote sensing images acquired under the GIS model, the wavelet thresholding denoising method is used to reduce the noise to improve the quality of computer images, combined with the image filtering method to complete the grays
Externí odkaz:
https://doaj.org/article/eb5ca205563541dc921c84320765ca57
Autor:
Zhu Hui, Chen Zhichao
Publikováno v:
Open Geosciences, Vol 15, Iss 1, Pp 1-12 (2023)
Human activities and climate change have changed the living environment of species, accelerated the rate of species extinction, and global biodiversity is facing a huge threat. The objective of this study is to determine the resource protection strat
Externí odkaz:
https://doaj.org/article/6442bdd98e4c424086a839dc409f892c
Okounkov [Oko03] conjectured the log-concavity about the structure constants for many interesting basis from representation theory. For the cluster algebra, Gross, Hacking, Keel, Kontsevich [GHKK18] introduced the atomic theta basis. We prove that th
Externí odkaz:
http://arxiv.org/abs/2408.03792
Autor:
Wang, Hao, Chen, Zhichao, Shen, Yuan, Fan, Jiajun, Liu, Zhaoran, Yang, Degui, Liu, Xinggao, Li, Haoxuan
Heterogeneous treatment effect (HTE) estimation from observational data poses significant challenges due to treatment selection bias. Existing methods address this bias by minimizing distribution discrepancies between treatment groups in latent space
Externí odkaz:
http://arxiv.org/abs/2407.01111
Autor:
Chen, Zhichao, Li, Haoxuan, Wang, Fangyikang, Zhang, Odin, Xu, Hu, Jiang, Xiaoyu, Song, Zhihuan, Wang, Eric H.
Diffusion models (DMs) have gained attention in Missing Data Imputation (MDI), but there remain two long-neglected issues to be addressed: (1). Inaccurate Imputation, which arises from inherently sample-diversification-pursuing generative process of
Externí odkaz:
http://arxiv.org/abs/2406.15762
Autor:
Wang, Hao, Pan, Licheng, Chen, Zhichao, Yang, Degui, Zhang, Sen, Yang, Yifei, Liu, Xinggao, Li, Haoxuan, Tao, Dacheng
Time series modeling is uniquely challenged by the presence of autocorrelation in both historical and label sequences. Current research predominantly focuses on handling autocorrelation within the historical sequence but often neglects its presence i
Externí odkaz:
http://arxiv.org/abs/2402.02399
Autor:
Monka-Ewe, Carsten, Berkelmann, Lukas, Wolf, Richard, Oelerich, Jan Oliver, Schönfelder, Thorsten, Kühnel, Marco, Chen, Zhichao, Stanescu, Alin, Kushova, Oliver, Siekmann, Daniel, Jannsen, Bert
The ever-increasing need for spectrum for mobile broadband systems has led to the recent allocation of spectral resources for International Mobile Telecommunication (IMT) services in the upper mid band (6.425 - 7.125 GHz) at the World Radio Conferenc
Externí odkaz:
http://arxiv.org/abs/2401.17889
Autor:
Chen, Zhichao, Li, Zixu
We consider the mutation invariants of cluster algebras of rank 2. We characterize the mutation invariants of finite type. Two examples are provided for the affine type and we prove the non-existence of Laurent mutation invariants of non-affine type.
Externí odkaz:
http://arxiv.org/abs/2401.09704
Autor:
Wang, Hao, Chen, Zhichao, Fan, Jiajun, Li, Haoxuan, Liu, Tianqiao, Liu, Weiming, Dai, Quanyu, Wang, Yichao, Dong, Zhenhua, Tang, Ruiming
Estimating conditional average treatment effect from observational data is highly challenging due to the existence of treatment selection bias. Prevalent methods mitigate this issue by aligning distributions of different treatment groups in the laten
Externí odkaz:
http://arxiv.org/abs/2310.18286
Time-Series Forecasting based on Cumulative Data (TSFCD) is a crucial problem in decision-making across various industrial scenarios. However, existing time-series forecasting methods often overlook two important characteristics of cumulative data, n
Externí odkaz:
http://arxiv.org/abs/2309.13452