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2020 – today
- 2026
[j4]Ling Huang
, Yucheng Xing, Qika Lin, Jinming Duan, Su Ruan, Mengling Feng:
EsurvFusion: An Evidential Multimodal Survival Fusion Model Based on Epistemic Random Fuzzy Sets. IEEE Trans. Fuzzy Syst. 34(1): 76-88 (2026)- [i15]Jingying Ma, Feng Wu, Yucheng Xing, Qika Lin, Tianyu Liu, Chenyu Liu, Ziyu Jia, Mengling Feng:
Structured Prototype-Guided Adaptation for EEG Foundation Models. CoRR abs/2602.17251 (2026) - [i14]Yucheng Xing, Xin Wang:
N-Tree Diffusion for Long-Horizon Wildfire Risk Forecasting. CoRR abs/2603.07361 (2026) - [i13]Yucheng Xing, Xin Wang:
Spectral-Structured Diffusion for Single-Image Rain Removal. CoRR abs/2603.09054 (2026) - [i12]Pei Liu, Xiangxiang Zeng, Tengfei Ma, Yucheng Xing, Xuanbai Ren, Yiping Liu:
Sparse Task Vector Mixup with Hypernetworks for Efficient Knowledge Transfer in Whole-Slide Image Prognosis. CoRR abs/2603.10526 (2026) - 2025
- [j3]Ling Huang, Yucheng Xing, Swapnil Mishra, Thierry Denoeux, Mengling Feng:
Evidential time-to-event prediction with calibrated uncertainty quantification. Int. J. Approx. Reason. 181: 109403 (2025) - [i11]Jingying Ma, Feng Wu, Qika Lin, Yucheng Xing, Chenyu Liu, Ziyu Jia, Mengling Feng:
CodeBrain: Bridging Decoupled Tokenizer and Multi-Scale Architecture for EEG Foundation Model. CoRR abs/2506.09110 (2025) - [i10]Yucheng Xing, Ling Huang, Jingying Ma, Ruping Hong, Jiangdong Qiu, Pei Liu, Kai He, Huazhu Fu, Mengling Feng:
DPsurv: Dual-Prototype Evidential Fusion for Uncertainty-Aware and Interpretable Whole-Slide Image Survival Prediction. CoRR abs/2510.00053 (2025) - [i9]Yucheng Xing, Jinxing Yin, Xiaodong Liu:
DANCER: Dance ANimation via Condition Enhancement and Rendering with diffusion model. CoRR abs/2510.27169 (2025) - 2024
- [j2]Yucheng Xing, Jacqueline Wu, Yingru Liu, Xuewen Yang, Xin Wang:
Evolved Differential Model for Sporadic Graph Time-Series Prediction. Intell. Converged Networks 5(3): 237-247 (2024) - [j1]Ling Huang, Su Ruan, Yucheng Xing, Mengling Feng:
A review of uncertainty quantification in medical image analysis: Probabilistic and non-probabilistic methods. Medical Image Anal. 97: 103223 (2024) - [c6]Ling Huang, Yucheng Xing, Thierry Denoeux, Mengling Feng:
An Evidential Time-to-Event Prediction Model Based on Gaussian Random Fuzzy Numbers. BELIEF 2024: 49-57 - [c5]Yucheng Xing, Xin Wang:
∞-Net: An Unsupervised Model for Online Graph Time-Series Denoising. ICONIP (3) 2024: 111-125 - [i8]Ling Huang, Yucheng Xing, Thierry Denoeux, Mengling Feng:
An evidential time-to-event prediction model based on Gaussian random fuzzy numbers. CoRR abs/2406.13487 (2024) - [i7]Ling Huang, Yucheng Xing, Swapnil Mishra, Thierry Denoeux, Mengling Feng:
Evidential time-to-event prediction model with well-calibrated uncertainty estimation. CoRR abs/2411.07853 (2024) - [i6]Xiaodong Liu, Yucheng Xing, Xin Wang:
Map-Free Trajectory Prediction with Map Distillation and Hierarchical Encoding. CoRR abs/2411.10961 (2024) - [i5]Yucheng Xing, Xin Wang:
Puppet-CNN: Input-Adaptive Convolutional Neural Networks with Model Compression using Ordinary Differential Equation. CoRR abs/2411.12876 (2024) - [i4]Yucheng Xing, Xiaodong Liu, Xin Wang:
Adaptively Controllable Diffusion Model for Efficient Conditional Image Generation. CoRR abs/2411.15199 (2024) - [i3]Ling Huang, Yucheng Xing, Qika Lin, Su Ruan, Mengling Feng:
EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers. CoRR abs/2412.01215 (2024) - 2023
- [c4]Yucheng Xing, Xin Wang:
HDG-ODE: A Hierarchical Continuous-Time Model for Human Pose Forecasting. ICCV 2023: 14654-14666 - [c3]Yucheng Xing, Jacqueline Wu, Yingru Liu, Xuewen Yang, Xin Wang:
AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs. ICONIP (1) 2023: 130-146 - [i2]Ling Huang, Su Ruan, Yucheng Xing, Mengling Feng:
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods. CoRR abs/2310.06873 (2023) - 2021
- [c2]Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Jing Shi, Di Jin, Zhaoyue Chen, Jacqueline Wu:
Continuous-Time Stochastic Differential Networks for Irregular Time Series Modeling. ICONIP (5) 2021: 343-351 - 2020
- [i1]Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Di Jin, Jing Shi:
Learning Continuous-Time Dynamics by Stochastic Differential Networks. CoRR abs/2006.06145 (2020)
2010 – 2019
- 2019
- [c1]Ran Li, Nayun Xu, Xutong Lu, Yucheng Xing, Haohua Zhao, Li Niu, Liqing Zhang:
Multi-person 3D Pose Estimation from Monocular Image Sequences. ICONIP (2) 2019: 15-24
Coauthor Index
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