Fuzheng Liu Examines Transformer-XL Modeling of E-Commerce User Behavior and Real-Time Behavioral Analysis

As e-commerce platforms generate ever-longer streams of user-behavior data, machine-learning methods are increasingly examined for their ability to model how customer interests form and shift over ...
BMJ Open

Mental health outcomes and psychosocial correlates among adult members of business families in Germany (WIFU-GESUND): study protocol for a representative c…

Introduction Mental health is an urgent public health issue with social and economic relevance. Business families play a key ...
IEEE

Interaction-Aware Planning With Deep Inverse Reinforcement Learning for Human-Like Autonomous Driving in Merge Scenarios

Abstract: Merge scenarios on highway are often challenging for autonomous driving, due to its lack of sufficient tacit understanding on and subtle interaction with human drivers in the traffic flow.
IEEE

Neighborhood Multi-Compound Transformer for Point Cloud Registration

Abstract: Point cloud registration is a critical issue in 3D reconstruction and computer vision, particularly challenging in cases of low overlap and different datasets, where algorithm generalization ...