249 citations · 793 across the 63 of their papers we have counts for
7 papers · 1 filter
Real-Time Anomaly Detection in Edge Streams
Siddharth Bhatia, Rui Liu, Bryan Hooi +3
Given a stream of graph edges from a dynamic graph, how can we assign anomaly scores to edges in an online manner, for the purpose of detecting unusual behavior, using constant tim…
Explanation of Reinforcement Learning Model in Dynamic Multi-Agent System
Xinzhi Wang, Huao Li, Hui Zhang +2
Recently, there has been increasing interest in transparency and interpretability in Deep Reinforcement Learning (DRL) systems. Verbal explanations, as the most natural way of comm…
StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching
Rui Liu, Chengxi Yang, Wenxiu Sun +2
Large-scale synthetic datasets are beneficial to stereo matching but usually introduce known domain bias. Although unsupervised image-to-image translation networks represented by C…
DEFM: Delay E mbedding based Forecast Machine for Time Series Forecasting by Spatiotemporal Information Transformation
Hao Peng, Wei Wang, Pei Chen +1
Making accurate forecasts for a complex system is a challenge in various practical applications. The major difficulty in solving such a problem concerns nonlinear spatiotemporal dy…
Keyphrase Prediction With Pre-trained Language Model
Rui Liu, Zheng Lin, Weiping Wang
Recently, generative methods have been widely used in keyphrase prediction, thanks to their capability to produce both present keyphrases that appear in the source text and absent…
An Attention Transfer Model for Human-Assisted Failure Avoidance in Robot Manipulations
Boyi Song, Yuntao Peng, Ruijiao Luo +1
Due to real-world dynamics and hardware uncertainty, robots inevitably fail in task executions, resulting in undesired or even dangerous executions. In order to avoid failures and…
Proficiency Constrained Multi-Agent Reinforcement Learning for Environment-Adaptive Multi UAV-UGV Teaming
Qifei Yu, Zhexin Shen, Yijiang Pang +1
A mixed aerial and ground robot team, which includes both unmanned ground vehicles (UGVs) and unmanned aerial vehicles (UAVs), is widely used for disaster rescue, social security,…