4 citations · 6 across the 6 of their papers we have counts for
6 papers
Reduced-Rank Network Autoregression with Grouped Edge Effects
Qi Lyu, Xiaoyu Zhang, Guodong Li +1
We propose the Edge-Grouped Reduced-Rank Network Autoregressive model (Edge-Grouped RRNAR) for multivariate time series observed over a network. The model allows transmission effec…
TERRA: A Transformer-Enabled Recursive R-learner for Longitudinal Heterogeneous Treatment Effect Estimation
Lei Shi, Sizhu Lu, Qiuran Lyu +2
Accurately estimating heterogeneous treatment effects (HTE) in longitudinal settings is essential for personalized decision-making across healthcare, public policy, education, and…
Joint Beamforming and Integer User Association using a GNN with Gumbel-Softmax Reparameterizations
Qing Lyu, Mai Vu
Machine learning (ML) models can effectively optimize a multi-cell wireless network by designing the beamforming vectors and association decisions. Existing ML designs, however, of…
Discovering indicators of dark horse of soccer games by deep learning from sequential trading data
Liyao Lu, Qiang Lyu
It is not surprise for machine learning models to provide decent prediction accuracy of soccer games outcomes based on various objective metrics. However, the performance is not th…
WristAuthen: A Dynamic Time Wrapping Approach for User Authentication by Hand-Interaction through Wrist-Worn Devices
Qi Lyu, Zhifeng Kong, Chao Shen +1
The growing trend of using wearable devices for context-aware computing and pervasive sensing systems has raised its potentials for quick and reliable authentication techniques. Si…
Extracting Actionability from Machine Learning Models by Sub-optimal Deterministic Planning
Qiang Lyu, Yixin Chen, Zhaorong Li +4
A main focus of machine learning research has been improving the generalization accuracy and efficiency of prediction models. Many models such as SVM, random forest, and deep neura…