39 citations · 79 across the 14 of their papers we have counts for
26 papers
Demystify Optimization and Generalization of Over-parameterized PAC-Bayesian Learning
Wei Huang, Chunrui Liu, Yilan Chen +2
PAC-Bayesian is an analysis framework where the training error can be expressed as the weighted average of the hypotheses in the posterior distribution whilst incorporating the pri…
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker
Runxin Xu, Tianyu Liu, Lei Li +1
Document-level event extraction aims to recognize event information from a whole piece of article. Existing methods are not effective due to two challenges of this task: a) the tar…
Apply Artificial Neural Network to Solving Manpower Scheduling Problem
Tianyu Liu, Lingyu Zhang
The manpower scheduling problem is a kind of critical combinational optimization problem. Researching solutions to scheduling problems can improve the efficiency of companies, hosp…
An Intelligent Model for Solving Manpower Scheduling Problems
Lingyu Zhang, Tianyu Liu, Yunhai Wang
The manpower scheduling problem is a critical research field in the resource management area. Based on the existing studies on scheduling problem solutions, this paper transforms t…
Automatic Learning to Detect Concept Drift
Hang Yu, Tianyu Liu, Jie Lu +1
Many methods have been proposed to detect concept drift, i.e., the change in the distribution of streaming data, due to concept drift causes a decrease in the prediction accuracy o…
Integrating Fast Regional Optimization into Sampling-based Kinodynamic Planning for Multirotor Flight
Hongkai Ye, Tianyu Liu, Chao Xu +1
For real-time multirotor kinodynamic motion planning, the efficiency of sampling-based methods is usually hindered by difficult-to-sample homotopy classes like narrow passages. In…