Joint UAV Trajectory Planning and LEO Satellite Selection for Data Offloading in Space-Air-Ground Integrated Networks.

Hierarchical Causal Discovery From Large-Scale Observed Variables.

A bidirectional reasoning approach for blood glucose control via invertible neural networks.

EIRAD: An Evidence-Based Dialogue System With Highly Interpretable Reasoning Path for Automatic Diagnosis.

SAKit: An all-in-one analysis pipeline for identifying novel proteins resulting from variant events at both large and small scales.

NALO-VOM: Navigation-Oriented LiDAR-Guided Monocular Visual Odometry and Mapping for Unmanned Ground Vehicles.

DROJ: A Prompt-Driven Attack against Large Language Models.

Causal Discovery from Time-Series Data with Short-Term Invariance-Based Convolutional Neural Networks.

ProSpec RL: Plan Ahead, then Execute.

Blood Glucose Control Via Pre-trained Counterfactual Invertible Neural Networks.

An adaptive linearized alternating direction multiplier method for solving convex optimization problems.

DECAF: An interpretable deep cascading framework for ICU mortality prediction.

Understanding the Message and Formulation of Fake Online Reviews: A Language-production Model Perspective.

Gated Tree-based Graph Attention Network (GTGAT) for medical knowledge graph reasoning.

3-D Relation Network for visual relation recognition in videos.

A distributed swarm intelligence-based energy-saving method among massive edge nodes.