7 papers
Affective Behavior Analysis using Task-adaptive and AU-assisted Graph Network
Xiaodong Li, Wenchao Du, Hongyu Yang
In this paper, we present our solution and experiment result for the Multi-Task Learning Challenge of the 7th Affective Behavior Analysis in-the-wild(ABAW7) Competition. This chall…
Clustering in Dynamic Environments: A Framework for Benchmark Dataset Generation With Heterogeneous Changes
Danial Yazdani, Juergen Branke, Mohammad Sadegh Khorshidi +4
Clustering in dynamic environments is of increasing importance, with broad applications ranging from real-time data analysis and online unsupervised learning to dynamic facility lo…
Detecting anomalous images in astronomical datasets
Pedro Alonso, Jun Zhang, Xiao-Dong Li
Environmental and instrumental conditions can cause anomalies in astronomical images, which can potentially bias all kinds of measurements if not excluded. Detection of the anomalo…
Action Pick-up in Dynamic Action Space Reinforcement Learning
Jiaqi Ye, Xiaodong Li, Pangjing Wu +1
Most reinforcement learning algorithms are based on a key assumption that Markov decision processes (MDPs) are stationary. However, non-stationary MDPs with dynamic action space ar…
Lock-in effect of over-tip shock waves and identification of the escaping vortex-shedding mode in pressure-driven tip leakage flow
Xiaolong Tang, Eldad J. Avital, Xiaodong Li +2
Time-resolved schlieren visualization is used to investigate the unsteady flow structures of tip leakage flows in the clearance region. A common generic blade tip model is created…
Ranking Constraint Relaxations for Mixed Integer Programs Using a Machine Learning Approach
Jake Weiner, Andreas T. Ernst, Xiaodong Li +1
Solving large-scale Mixed Integer Programs (MIP) can be difficult without advanced algorithms such as decomposition based techniques. Even if a decomposition technique might be app…