41 citations
- Beihang UniversityCN1 paper
- Beijing Computational Science Research CenterCN1 paper
- Chongqing Normal UniversityCN1 paper
- Chongqing UniversityCN1 paper
- Cleveland Sleep Research CenterUS1 paper
- Czech Technical University in PragueCZ1 paper
- ETH ZurichCH1 paper
- Guangdong University of TechnologyCN1 paper
- Huawei Technologies (China)CN1 paper
- Laboratoire de Mathématiques d'OrsayFR1 paper
- Learning Multi Systems (United States)US1 paper
- Old Dominion UniversityUS1 paper
5 papers
Theory of the lattice Boltzmann method: discrete effects due to advection
Pierre Lallemand, François Dubois, Li-shi Luo
Lattice Boltzmann models are briefly introduced together with references to methods used to predict their ability for simulations of systems described by partial differential equat…
IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-sensing Images
Meilin Wang, Yexing Song, Pengxu Wei +3
Deep learning technologies have demonstrated their effectiveness in removing cloud cover from optical remote-sensing images. Convolutional Neural Networks (CNNs) exert dominance in…
Nash Equilibria of Two-round Auctions
Chulong Zhong, Xiang Yan, Yuyi Wang +2
In a two-round auction, a subset of bidders is selected (probabilistically), according to their bids in the first round, for the second round, where they can increase their bids. W…
Lifted Algorithms for Symmetric Weighted First-Order Model Sampling
Yuanhong Wang, Juhua Pu, Yuyi Wang +1
Weighted model counting (WMC) is the task of computing the weighted sum of all satisfying assignments (i.e., models) of a propositional formula. Similarly, weighted model sampling…
A feature-supervised generative adversarial network for environmental monitoring during hazy days
Ke Wang, Siyuan Zhang, Junlan Chen +2
The adverse haze weather condition has brought considerable difficulties in vision-based environmental applications. While, until now, most of the existing environmental monitoring…