1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AI2024★ 1 cited
MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces
Tianyu Zheng, Ge Zhang, Xingwei Qu +3
Drawing upon the intuition that aligning different modalities to the same semantic embedding space would allow models to understand states and actions more easily, we propose a new…
cs.CV2023★ 1 cited
LRRU: Long-short Range Recurrent Updating Networks for Depth Completion
Yufei Wang, Bo Li, Ge Zhang +3
Existing deep learning-based depth completion methods generally employ massive stacked layers to predict the dense depth map from sparse input data. Although such approaches greatl…
cs.IR2023
Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction
Jun Li, Jingjian Wang, Hongwei Wang +8
Spatial-temporal information has been proven to be of great significance for click-through rate prediction tasks in online Location-Based Services (LBS), especially in mainstream f…