most citedChannel prior convolutional attention for medical image segmentation

12 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

q-fin.PM2023

Combining Reinforcement Learning and Barrier Functions for Adaptive Risk Management in Portfolio Optimization

Zhenglong Li, Hejun Huang, Vincent Tam

Reinforcement learning (RL) based investment strategies have been widely adopted in portfolio management (PM) in recent years. Nevertheless, most RL-based approaches may often emph…

eess.IV202312 cited

Channel prior convolutional attention for medical image segmentation

Hejun Huang, Zuguo Chen, Ying Zou +2

Characteristics such as low contrast and significant organ shape variations are often exhibited in medical images. The improvement of segmentation performance in medical imaging is…

eess.SY2023

Remote Identification Trajectory Coverage in Urban Air Mobility Applications

Hejun Huang, Billy Mazotti, Joseph Kim +1

As Urban Air Mobility (UAM) and Advanced Air Mobility (AAM) continue to mature, a safety-critical system that will need to be implemented in tandem is Remote Identification (Remote…

eess.SY2022

Barrier Certified Safety Learning Control: When Sum-of-Square Programming Meets Reinforcement Learning

Hejun Huang, Zhenglong Li, Dongkun Han

Safety guarantee is essential in many engineering implementations. Reinforcement learning provides a useful way to strengthen safety. However, reinforcement learning algorithms can…

eess.SY2022

Sum-of-Squares Program and Safe Learning On Maximizing the Region of Attraction of Partially Unknown Systems

Dongkun Han, Hejun Huang

Recent advances in learning techniques have enabled the modelling of unknown dynamical systems directly from data. However, in many contexts, these learning-based methods are short…