3 accepted papers
Long-term series forecasting is crucial in real-world applications. Existing works have leveraged self-attention mechanisms and multi-scale temporal data to learn complex dependencies and patterns in long-term series prediction. However, most prediction models directly aggregate together multi-scale…
Recent studies have shown that reinforcement learning (RL) methods have brought significant performance gains for stock portfolio management (PM) because they effectively utilize historical price information and directly generate portfolio weights. We found, however, that there is still great room f…
Physicians perform minimally invasive percuta-neous procedures under Computed Tomography (CT) image guidance both for the diagnosis and treatment of numerous diseases. For these procedures performed within Computed Tomography Scanners, robots can enable physicians to more accurately target sub-derma…