85 citations · 99 across the 5 of their papers we have counts for
6 papers
Air Traffic Controller Workload Level Prediction using Conformalized Dynamical Graph Learning
Yutian Pang, Jueming Hu, Christopher S. Lieber +2
Air traffic control (ATC) is a safety-critical service system that demands constant attention from ground air traffic controllers (ATCos) to maintain daily aviation operations. The…
Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning
Jueming Hu, Xuxi Yang, Weichang Wang +3
Obstacle avoidance for small unmanned aircraft is vital for the safety of future urban air mobility (UAM) and Unmanned Aircraft System (UAS) Traffic Management (UTM). There are man…
Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines
Jueming Hu, Zhe Xu, Weichang Wang +3
In multi-agent reinforcement learning (MARL), it is challenging for a collection of agents to learn complex temporally extended tasks. The difficulties lie in computational complex…
Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks
Yutian Pang, Sheng Cheng, Jueming Hu +1
To evaluate the robustness gain of Bayesian neural networks on image classification tasks, we perform input perturbations, and adversarial attacks to the state-of-the-art Bayesian…
FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction
Houpu Yao, Yi Gao, Yongming Liu
An innovative physics-guided learning algorithm for predicting the mechanical response of materials and structures is proposed in this paper. The key concept of the proposed study…
ImVerde: Vertex-Diminished Random Walk for Learning Network Representation from Imbalanced Data
Jun Wu, Jingrui He, Yongming Liu
Imbalanced data widely exists in many high-impact applications. An example is in air traffic control, where we aim to identify the leading indicators for each type of accident caus…