Yucheng Xing

According to our database, Yucheng Xing authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A review of uncertainty quantification in medical image analysis: Probabilistic and non-probabilistic methods.

Ling Huang, Su Ruan, Yucheng Xing, Mengling Feng

Medical Image Anal., 2024

Evolved Differential Model for Sporadic Graph Time-Series Prediction.

Yucheng Xing, Jacqueline Wu, Yingru Liu, Xuewen Yang, Xin Wang

Intell. Converged Networks, 2024

EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers.

Ling Huang, Yucheng Xing, Qika Lin, Su Ruan, Mengling Feng

CoRR, 2024

Adaptively Controllable Diffusion Model for Efficient Conditional Image Generation.

Yucheng Xing, Xiaodong Liu, Xin Wang

CoRR, 2024

Puppet-CNN: Input-Adaptive Convolutional Neural Networks with Model Compression using Ordinary Differential Equation.

Yucheng Xing, Xin Wang

CoRR, 2024

Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding.

Xiaodong Liu, Yucheng Xing, Xin Wang

CoRR, 2024

Evidential time-to-event prediction model with well-calibrated uncertainty estimation.

Ling Huang, Yucheng Xing, Swapnil Mishra, Thierry Denoeux, Mengling Feng

CoRR, 2024

An Evidential Time-to-Event Prediction Model Based on Gaussian Random Fuzzy Numbers.

Ling Huang, Yucheng Xing, Thierry Denoeux, Mengling Feng

Proceedings of the Belief Functions: Theory and Applications, 2024

2023

AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs.

Yucheng Xing, Jacqueline Wu, Yingru Liu, Xuewen Yang, Xin Wang

Proceedings of the Neural Information Processing - 30th International Conference, 2023

HDG-ODE: A Hierarchical Continuous-Time Model for Human Pose Forecasting.

Yucheng Xing, Xin Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Continuous-Time Stochastic Differential Networks for Irregular Time Series Modeling.

Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Jing Shi, Di Jin, Zhaoyue Chen, Jacqueline Wu

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020

Learning Continuous-Time Dynamics by Stochastic Differential Networks.

Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Di Jin, Jing Shi

CoRR, 2020

2019

Multi-person 3D Pose Estimation from Monocular Image Sequences.

Ran Li, Nayun Xu, Xutong Lu, Yucheng Xing, Haohua Zhao, Li Niu, Liqing Zhang

Proceedings of the Neural Information Processing - 26th International Conference, 2019