Jun Xiao

Applying Learning Analytics to Assess Learning Effect by Using Mobile Learning Support System in U-Learning Environment

2019

This research proposed a mobile learning support system based on U-learning environment and aimed to design an effective Learning Analytics(LA) model and the essential analytics indicators, so as to apply this LA model to assess …

Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning

2021

Centralized Training with Decentralized Execution (CTDE) has been a popular paradigm in cooperative Multi-Agent Reinforcement Learning (MARL) settings and is widely used in many real applications. One of the major challenges in the training process …

Bidirectional Self-Training with Multiple Anisotropic Prototypes for Domain Adaptive Semantic Segmentation

2022 · arXiv (Cornell University)

A thriving trend for domain adaptive segmentation endeavors to generate the high-quality pseudo labels for target domain and retrain the segmentor on them. Under this self-training paradigm, some competitive methods have sought to the latent-space …

Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

2017

Factorization Machines (FMs) are a supervised learning approach that enhances the linear regression model by incorporating the second-order feature interactions. Despite effectiveness, FM can be hindered by its modelling of all feature interactions with the …