1 citations · 1 across the 5 of their papers we have counts for
5 papers
Developing Combined Manipulation and Locomotion Skills with Interaction Representation and Skill Composition
Fanxing Meng, Jing Xiao
This paper addresses how to enable a humanoid robot to learn motion policies based on developmental principles and combine policies to create more sophisticated and useful behavior…
MedAI: Evaluating TxAgent's Therapeutic Agentic Reasoning in the NeurIPS CURE-Bench Competition
Tim Cofala, Christian Kalfar, Jingge Xiao +3
Therapeutic decision-making in clinical medicine constitutes a high-stakes domain in which AI guidance interacts with complex interactions among patient characteristics, disease pr…
FlexTSF: A Flexible Forecasting Model for Time Series with Variable Regularities
Jingge Xiao, Yile Chen, Gao Cong +2
Forecasting time series with irregular temporal structures remains challenging for universal pre-trained models. Existing approaches often assume regular sampling or depend heavily…
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
Jingge Xiao, Leonie Basso, Wolfgang Nejdl +2
Continuous-time models such as Neural ODEs and Neural Flows have shown promising results in analyzing irregularly sampled time series frequently encountered in electronic health re…
From Rolling Over to Walking: Enabling Humanoid Robots to Develop Complex Motor Skills
Fanxing Meng, Jing Xiao
This paper presents an innovative method for humanoid robots to acquire a comprehensive set of motor skills through reinforcement learning. The approach utilizes an achievement-tri…