30 citations · 163 across the 26 of their papers we have counts for
4 papers · 1 filter
Graph-based Semi-supervised Local Clustering with Few Labeled Nodes
Zhaiming Shen, Ming-Jun Lai, Sheng Li
Local clustering aims at extracting a local structure inside a graph without the necessity of knowing the entire graph structure. As the local structure is usually small in size co…
Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training
Geng Yuan, Yanyu Li, Sheng Li +5
Recently, sparse training has emerged as a promising paradigm for efficient deep learning on edge devices. The current research mainly devotes efforts to reducing training costs by…
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials
Zhixuan Chu, Stephen L. Rathbun, Sheng Li
Estimating treatment effects from observational data provides insights about causality guiding many real-world applications such as different clinical study designs, which are the…
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data
Zhixuan Chu, Stephen Rathbun, Sheng Li
The foremost challenge to causal inference with real-world data is to handle the imbalance in the covariates with respect to different treatment options, caused by treatment select…