11 citations · 12 across the 5 of their papers we have counts for
5 papers
Traj-Transformer: Diffusion Models with Transformer for GPS Trajectory Generation
Zhiyang Zhang, Ningcong Chen, Xin Zhang +4
The widespread use of GPS devices has driven advances in spatiotemporal data mining, enabling machine learning models to simulate human decision making and generate realistic traje…
UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models
Yuhang Liu, Yingxue Zhang, Xin Zhang +3
Understanding and predicting urban dynamics is crucial for managing transportation systems, optimizing urban planning, and enhancing public services. While neural network-based app…
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing
Xinbo Zhao, Yingxue Zhang, Xin Zhang +4
Enhancing diverse human decision-making processes in an urban environment is a critical issue across various applications, including ride-sharing vehicle dispatching, public transp…
ChiMera: Learning with noisy labels by contrasting mixed-up augmentations
Zixuan Liu, Xin Zhang, Junjun He +5
Learning with noisy labels has been studied to address incorrect label annotations in real-world applications. In this paper, we present ChiMera, a two-stage learning-from-noisy-la…
-GAIL: Learning -Divergence for Generative Adversarial Imitation Learning
Xin Zhang, Yanhua Li, Ziming Zhang +1
Imitation learning (IL) aims to learn a policy from expert demonstrations that minimizes the discrepancy between the learner and expert behaviors. Various imitation learning algori…