2 citations · 2 across the 7 of their papers we have counts for
7 papers
LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data
Bang An, Xun Zhou, Amin Vahedian +3
Traffic accident forecasting is an important task for intelligent transportation management and emergency response systems. However, this problem is challenging due to the spatial…
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping
Bang An, Xun Zhou, Zirui Zhou +3
The problem of forecasting spatiotemporal events such as crimes and accidents is crucial to public safety and city management. Besides accuracy, interpretability is also a key requ…
Local deployment of large-scale music AI models on commodity hardware
Xun Zhou, Charlie Ruan, Zihe Zhao +2
We present the MIDInfinite, a web application capable of generating symbolic music using a large-scale generative AI model locally on commodity hardware. Creating this demo involve…
NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization
Peng Tu, Xun Zhou, Mingming Wang +7
Neural Radiance Fields (NeRF) have emerged as a paradigm-shifting methodology for the photorealistic rendering of objects and environments, enabling the synthesis of novel viewpoin…
Choquet regularization for reinforcement learning
Xia Han, Ruodu Wang, Xun Yu Zhou
We propose \emph{Choquet regularizers} to measure and manage the level of exploration for reinforcement learning (RL), and reformulate the continuous-time entropy-regularized RL pr…
-Expectation of Distributions
Mingyu Xu, Zuo Quan Xu, Xun Yu Zhou
We define -expectation of a distribution as the infimum of the -expectations of all the terminal random variables sharing that distribution. We present two special cases for…