23 citations · 45 across the 8 of their papers we have counts for
8 papers
M3S-Net: Multimodal Feature Fusion Network Based on Multi-scale Data for Ultra-short-term PV Power Forecasting
Penghui Niu, Taotao Cai, Suqi Zhang +4
The inherent intermittency and high-frequency variability of solar irradiance, particularly during rapid cloud advection, present significant stability challenges to high-penetrati…
MPCM-Net: Multi-scale network integrates partial attention convolution with Mamba for ground-based cloud image segmentation
Penghui Niu, Jiashuai She, Taotao Cai +4
Ground-based cloud image segmentation is a critical research domain for photovoltaic power forecasting. Current deep learning approaches primarily focus on encoder-decoder architec…
USF-Net: A Unified Spatiotemporal Fusion Network for Ground-Based Remote Sensing Cloud Image Sequence Extrapolation
Penghui Niu, Taotao Cai, Suqi Zhang +4
Ground-based remote sensing cloud image sequence extrapolation is a key research area in the development of photovoltaic power systems. However, existing approaches exhibit several…
AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions
Jianxin Li, Liang Qu, Taotao Cai +13
Artificial Intelligence Generated Content (AIGC) has rapidly emerged with the capability to generate different forms of content, including text, images, videos, and other modalitie…
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks
Taotao Cai, Qi Lei, Quan Z. Sheng +3
Influence Maximization (IM), which aims to select a set of users from a social network to maximize the expected number of influenced users, has recently received significant attent…
A Survey on Location-Driven Influence Maximization
Taotao Cai, Quan Z. Sheng, Xiangyu Song +5
Influence Maximization (IM), which aims to select a set of users from a social network to maximize the expected number of influenced users, is an evergreen hot research topic. Its…
Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks
Taotao Cai, Shuiqiao Yang, Jianxin Li +5
User engagement has recently received significant attention in understanding the decay and expansion of communities in many online social networking platforms. When a user chooses…
Top-k Socio-Spatial Co-engaged Location Selection for Social Users
Nur Al Hasan Haldar, Jianxin Li, Mohammed Eunus Ali +3
With the advent of location-based social networks, users can tag their daily activities in different locations through check-ins. These check-in locations signify user preferences…