Yucheng Xing

According to our database, Yucheng Xing authored at least 24 papers between 2019 and 2026.

Collaborative distances:

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

2026

Bridging the Modality Bottleneck in Pathology MIL through Virtual Molecular Staining.

Yucheng Xing, Pei Liu, Jingying Ma, Ruping Hong, Jiangdong Qiu, Tianyu Liu, Kai He, Ling Huang, Mengling Feng

CoRR, May, 2026

Sparse Task Vector Mixup with Hypernetworks for Efficient Knowledge Transfer in Whole-Slide Image Prognosis.

Pei Liu, Xiangxiang Zeng, Tengfei Ma, Yucheng Xing, Xuanbai Ren, Yiping Liu

CoRR, March, 2026

Spectral-Structured Diffusion for Single-Image Rain Removal.

Yucheng Xing, Xin Wang

CoRR, March, 2026

N-Tree Diffusion for Long-Horizon Wildfire Risk Forecasting.

Yucheng Xing, Xin Wang

CoRR, March, 2026

Structured Prototype-Guided Adaptation for EEG Foundation Models.

Jingying Ma, Feng Wu, Yucheng Xing, Qika Lin, Tianyu Liu, Chenyu Liu, Ziyu Jia, Mengling Feng

CoRR, February, 2026

EsurvFusion: An Evidential Multimodal Survival Fusion Model Based on Epistemic Random Fuzzy Sets.

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

IEEE Trans. Fuzzy Syst., January, 2026

2025

DANCER: Dance ANimation via Condition Enhancement and Rendering with diffusion model.

Yucheng Xing, Jinxing Yin, Xiaodong Liu

CoRR, October, 2025

DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole-Slide Image Survival Prediction.

Yucheng Xing, Ling Huang, Jingying Ma, Ruping Hong, Jiangdong Qiu, Pei Liu, Kai He, Huazhu Fu, Mengling Feng

CoRR, October, 2025

CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model.

Jingying Ma, Feng Wu, Qika Lin, Yucheng Xing, Chenyu Liu, Ziyu Jia, Mengling Feng

CoRR, June, 2025

Evidential time-to-event prediction with calibrated uncertainty quantification.

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

Int. J. Approx. Reason., 2025

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

∞-Net: An Unsupervised Model for Online Graph Time-Series Denoising.

Yucheng Xing, Xin Wang

Proceedings of the Neural Information Processing - 31st International Conference, 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